Development and Validation of the Self-Regulated Learning Test Anxiety Scale

Abstract

Four studies report the development and psychometric properties of the new Self-Regulated Learning Test Anxiety Scale (SRLTAS). The measure assesses aspects of test anxiety (TA) from a Self-Regulated Learning (SRL) perspective and provides evidence regarding areas of TA that may be targeted for subsequent learning strategy interventions. Study 1 provided descriptive information, explored the factor structure, and addressed variance in TA across test item formats and student characteristics. Study 2 examined the stability of the SRLTAS and explored initial relations between the SRLTAS and other known TA measures. Study 3 provided confirmatory validity evidence and tested the factor structure in a new sample. Study 4 provided extended validity evidence as SRLTAS scores were examined with other representative SRL scores.

Share and Cite:

Sperling, R. , Reeves, P. , Gervais, A. and Sloan, J. (2017) Development and Validation of the Self-Regulated Learning Test Anxiety Scale. Psychology, 8, 2295-2320. doi: 10.4236/psych.2017.814145.

1. Introduction

In the last several decades, hundreds of published studies examined test anxiety (TA), as researchers and practitioners sought to better understand TA and related constructs and simultaneously develop and test interventions to limit the debilitating effects of anxiety on test performance (e.g., Pintado, Sánchez-Mateos, & Escolar-Llamazares, 2016 ; von der Embse, Barterian, & Segool, 2013 ). Current research on TA has thrived in an era of high stakes testing where approximately 25% - 40% of students consistently experience TA. Despite the abundance of work that has been conducted, research continues to produce new insights (e.g., Bellinger, DeCaro, & Ralston, 2015 ; Putwain, Daly, Chamberlain, & Sadreddini, 2015 ). For example, Barrows, Dunn and Lloyd (2013) recently reported that test anxiety predicted exam scores and numerous studies have drawn additional attention to the important role of students’ anxiety and other academic emotions (e.g., Pekrun, Goetz, Frenzel, Barchfeld, & Perry, 2011 ; Zuckerman, & Spielberger, 2015 ).

Test anxiety is generally conceptualized as a multidimensional construct that can be debilitating for students. A number of studies reported the negative impact of test anxiety on academic performance ( Spielberger, Anton, & Bedell, 2015 ). For example, the results of a meta-analysis of 562 American studies conducted by Hembree (1988) showed that test anxiety significantly decreased students’ academic performance in elementary school through college. Also, test-anxious students are found to receive lower standardized achievement test scores, GPA, and class exam scores ( Chapell et al., 2005 ; Everson, Millsap, & Rodriquez, 1991 ; Schwarzer, 1990 ).

Interestingly, however, limited research hints that small quantities of test anxiety, similar to other forms of performance anxiety, might also serve to facilitate performance, consistent with the Yerkes-Dodson curve (e.g., Lyndon, et al., 2014 ). Therefore, the current conceptualization and definition of TA may need to be reexamined to include additional constructs. The purpose of this paper is to extend current views of TA through application of a self-regulated learning theoretical framework and to document the development of a new measure. The measure is presented with accompanying foundational psychometric information in our studies. Our intent is to provide a new tool that is brief, easily administered, and provides direction for subsequent targeted self-regulated learning strategies.

2. Defining Test Anxiety

Various definitions of test anxiety exist. A long held and widely accepted definition, proposed by Spielberger and colleagues (1978) , conceptualizes test anxiety as a situation-specific form of trait anxiety. Trait anxiety refers to stable individual differences in propensity for anxiety proneness whereas state anxiety is a transitory emotional reaction that is characterized by subjective feelings of tension, apprehension, nervousness, and worry; and is associated with physiological arousal. Test anxiety refers to the individual’s disposition to react with more intense tension, apprehension, nervousness, and worry and physiological arousal (state anxiety) when exposed to evaluative situations. Test-anxious students are generally higher in trait anxiety and tend to experience more excessive state anxiety under evaluative situations.

Test anxiety is also often defined as a multidimensional construct. Most researchers agree, as noted, that it consists of at least two major components, worry and emotionality ( Hoferichter, Raufelder, Ringeisen, Rohrmann, & Bukowski, 2015 ; Pintado et al., 2016 ; Pintrich, Smith, Garcia, & McKeachie, 1993 ). The worry component represents the cognitive facet of test anxiety defined as “any cognitive expression of concern about one’s own performance” ( Liebert & Morris, 1967: p. 975 ). This component involves the negative self-talk and negative cognition of performance outcomes in relation to examinations. The emotionality component refers to physiological and affective reactions including physiological arousal, physical symptoms, and unpleasant feelings such as tension and nervousness.

3. Measures of TA

There are numerous TA scales and inventories that are administered for varied purposes. Examples include those used as screening instruments in practice with clients and students such as the ten item Westside Test Anxiety Scale (e.g., WTAS; Driscoll, 2007 ). As well as several theoretically-based instruments that have been used primarily in research including the FRIEDBEN Test Anxiety Scale (the FTA) ( Friedman & Bendas-Jacob, 1997 ), which is a three dimensional, 23-item measure that targets cognitive and physiological aspects of test anxiety with consideration of social denigration. Recently, Brooks and colleagues (2015) developed a measure, the Test and Examination Anxiety Measure (TEAM), a 26 item measure that moves beyond worry and emotionality to target trait and state anxiety as well as distractibility, worry, and rumination scales. These represent but a few of the dozens of available measures.

However, perhaps the most commonly used in research is the Test Anxiety Inventory (TAI) developed by Spielberger (1980) . The 20-item TAI has been translated into several languages and used internationally (e.g., Ali & Moshin, 2013 ; Fountoulakis et al., 2006 ). The TAI addresses emotionality and worry components of test anxiety. Many studies have reported psychometric properties of the TAI, including Benson & Tippets (1990) , who reported confirmatory analyses of 16 items from the original 20 item inventory, omitting four items that cross loaded on both the worry and emotionality scales.

Most existing test anxiety scales are conceptually related to the TAI in that they contain the identified worry and emotionality components of test anxiety (e.g., the Worry-Emotionality Questionnaire (W-E Q) Liebert & Morris (1967) ; the Inventory of Test Anxiety (ITA) ( Osterhouse,1975 ); and the State Test Anxiety Scale (STAS) ( Hong, 1998 ). Evidence supports importance of both worry and emotionality components of test anxiety and both are often considered critical elements of the construct. The prevalence of these components of the TA construct within current measures reinforces this perception of TA. However, in the current work, we consider additional, broader, aspects of test anxiety.

Another existing measure prominently used to examine test anxiety is the TAS and versions of the TAS as it evolved over time (e.g., Sarason, 1980 ). Some items of the often used TAS were derived from items originally administered to children (e.g., Sarason et al., 1958 ; Wine, 1971 ). The evolution of the TAS was different from many other commonly developed measures as much of the work Sarason and colleagues conducted targeted experimental manipulations of test anxiety. These studies often examined test anxiety as an independent rather than a dependent variable. In contrast, other measures were developed initially to serve as a descriptive tool or dependent measure. Subsequently, TAS measures are somewhat broader than other measures and incorporate more than worry and emotionality components. The TAS measures, however, differ in the theoretical view employed when compared with the current studies.

Recently, Pekrun and colleagues (2004) developed the Test Emotions Questionnaire. The TEQ addresses state and trait elements of the emotions of worry, pride, enjoyment, and boredom, as well as anxiety. Related instrumentation such as the Academic Emotions Questionnaire (AEQ) is used in recent research that specifically targets broader emotion elements of students’ experiences. (e.g., Goetz, Frenzel, Pekrun, Hall, & Lüdtke, 2007 ; Pekrun et al., 2011 ). These measures represent a focus in the literature on students’ emotions more generally rather than targeting anxiety and are not confined to testing contexts.

The MSLQ approaches TA slightly differently than the other measures and utilizes a similar theoretical framework as the presented SRLTAS. The MSLQ, often used as a general measure of self-regulated learning, contains a 5 item test anxiety scale. (e.g., Pintrich et al., 1993 ). These items comprise a scale of the motivation component of the MSLQ inventory, and as suggested by the authors, scholars have administered the TA scale independently to assess college students’ test anxiety within a self-regulated learning framework ( Credé & Phillips, 2011 ; Fitch, Marshall, & McCarthy, 2012 ). These items are considered independently of other scales and subscales of the MSLQ (e.g., Hilpert, Stempien, van der Hoeven Kraft, & Husman, 2013 ). The intent of such use is often to correlate TA with other motivation and self-regulated learning variables (e.g., Bembenutty, 2008 ) or examine TA in the context of course performance (e.g., Kitsantas, Winsler, & Huie, 2008 ), which serves important purposes. However, the MSLQTA lacks the theoretical and practical breadth of the newly developed, proposed, and tested SRLTAS measure.

4. The SRLTAS

Previous measures of test anxiety inform our understanding of the worry and emotionality components of TA, but generally, items on previous measures do not directly map to a self-regulated learning framework (e.g., Winne, 2005 ; Zimmerman, 2008 ), within a social learning perspective (e.g., Bandura,1977; 1986 ), and therefore SRLTAS items were designed with that purpose. This is in contrast to other measures of test anxiety that often approach the construct from a clinical (e.g., Schwarzer, 1990 ) or descriptive perspective (e.g., Driscoll, 2007 ).

Self-regulated learners monitor and control their learning and motivation and employ effective strategies. As such, one goal is to assist students as they develop effective metacognition to recognize their learning progress and to provide effective strategies students can employ to support their learning. Self-regulated learners also monitor and control their motivation and affect. Effective self-regulated learners can monitor and control their anxiety and implement strategies to combat the situations which illicit negative affective responses (e.g., Virtanen, Nevgi, & Niemi, 2015 ; Wolters & Hussain, 2015 ).

There are several models of self-regulated learning (e.g., Puustinen & Pulkkinen, 2001 ). One often referenced model relies on a cyclic view of the self-regulatory processes as proposed by Zimmerman (2008) . This cyclic phase model, situated within a social learning theory framework, recognizes the roles of metacognition, motivational elements, and strategies with a self-regulatory framework. Of importance, the model imposes a temporal component to SRL, including iterative forethought, performance, and self-reflection phases, with students’ metacognition, motivation, and strategies represented at each phase. Test anxiety is both anticipatory and situational. Further, strategies to combat test anxiety may benefit from a better understanding of test anxiety during phases of a self- regulated learning cycle. Unlike other existing measures, SRLTAS items directly map to temporal aspects SRL and target TA in each phase.

Hembree’s (1988) meta-analysis noted differences in reported test anxiety when the test was either matching or multiple choice items with matching items eliciting less anxiety than multiple choice. Within a self-regulated learning framework, students may approach different types of tests with different strategies. Further, interventions may target both preparatory and in situ to the test strategies that differ based upon test format. Items on the SRLTAS specifically target TA by type of item.

In development of the SRTLAS consideration was given to work by Cassady and Johnson (2002) , which focused on the cognitive components of test anxiety and expanded the traditional worry component of TA. In their work they included one cause of anxiety is in causing sorrow for parents. In recognition of the social context of learning, and consistent with Cassady and Johnson (2002) and other recent research that focuses on the roles of the perceptions of teachers, parents, and peers on the motivational processes (e.g., Raufelder, Drury, Jagenow, Hoferichter, & Bukowski, 2013 ) our intent was to design an instrument from which data could inform learning strategies directly targeted to aspects of experienced anxiety. Items on the SRLTAS specifically address the perceived social consequences of exam performance as important but understudied element of TA.

In summary the SRLTAS addresses several aspects of test anxiety not targeted in previous research and incorporates a much broader view of the nature of test anxiety within a self-regulatory framework. Specifically, the items on the measure situate test anxiety within a social context and also examine the temporal relations among testing and anxiety. Of importance, the SRLTAS also considers potential beneficial aspects of test anxiety.

In these studies we examined properties of the SRLTAS. In Study 1 we describe the measure. In Study 2, we test the stability of the measure. Data from studies 3 and 4 explore the construct validity of the SRLTAS though both convergent and discriminant strategies.

Given our evolving understanding of the TA construct from current theoretical views of learning, the primary focus of the four studies presented here is the measurement of under-considered elements of test anxiety. Although numerous measures of text anxiety currently exist; the nature of these instruments varies considerably and none specifically address the aspects of test anxiety targeted in SRLTAS.

4.1. Study 1

The purpose of Study 1 was to describe the development of the SRLTAS, share item-level descriptive information, and explore the factor structure of the measure. Several descriptive research questions guided this study.

1) Are there differences in students’ reported test anxiety based upon test type, gender, and class standing?

Previous research has indicated that females report more test anxiety than males ( Everson et al., 1991 ; Kosmala-Anderson & Wallace, 2007 : Hembree, 1988 ). As students become familiar with the expectations of post-secondary classwork and tests, we hypothesized that students’ anxiety would generally decrease. We expected higher reported test anxiety on open ended versus recognition types of test items ( Nassar, Qaraeen, & Abu Naba’h, 2011 ).

2) Do students report that test anxiety benefits their performance?

Some level of anxiety is known to result in optimum performance in a variety of settings (e.g., Ruiz, Raglin, & Hanin, 2015 ). Limited research suggests that test anxiety might also serve to facilitate examination performance (e.g., Alpert & Haber, 1960 ). In this study we hypothesized that some students would report benefits of test anxiety but this research question was exploratory as little research has reported the degree to which students’ perceive test anxiety is of benefit to their performance.

3) What is the underlying factor structure of the SRLTAS items? How does this factor structure relate to the theoretically grounded structure from which items were designed?

The intent of the development of the SRLTAS was to create a descriptive tool that adequately measures elements of TA from a SRL perspective for research purposes and that also informs learners of aspects of anxiety that could be targeted for subsequent strategy intervention. Although designed as an overall comprehensive measure, the SRLTAS scale was written to address five potential factors related to TA from previously under-represented recent empirical and theoretical components of effective learning situated in an established SRL theoretical framework. To that end, three factors included items designed to measure temporal aspects of anxiety which occur before, during, and after the test. Additionally, items were written to address anxiety related to the social consequences of test performance including the perceptions of consequences from parents, teachers, classmates, and friends. The final factor addressed anxiety related to test type. Items were developed to address the three primary types of tests students may experience: Multiple choice, essay, and short answer.

Items on the scale were couched within perceptions of stress. Our emphasis was not on the debilitating effects of anxiety, but the broader perspective that some level of test anxiety manifests itself within students as stress. This conception is consistent with current views of academic achievement motivation that recognize everyday setbacks and challenges as part of the learning process (e.g., Martin & Marsh, 2008 ). Further, this perspective of test anxiety, as not debilitating but rather a challenge is consistent with a self-regulated learning framework that would suggest awareness and monitoring of affect is relevant for strategy intervention and academic performance (e.g. Zimmerman, 2008 ).

4.1.1. Method

Undergraduate students (n = 260) enrolled in a public, state-related American research university voluntarily participated in the study for extra course credit (1% of course grade) in accord with University Office of Research Protections procedures. Participants were provided informed consent documents and the SRLTAS was administered at the end of class by a researcher. The mean self- reported GPA for the sample in Study 1 was 3.38 and the mean reported SAT was 1178. The sample included 73% sophomores and 76% women.

Participants were students in two sections of an introductory course in Educational Psychology that enrolls 350 students from a cross section of students from dozens of majors. More than 40,000 students enroll in the institution and approximately 75% are White while approximately 5% of students represent students from each African American, Hispanic, and International backgrounds. For the remaining students, other ethnicity or no ethnicity was reported. To increase variance and external validity, participants answered the SRLTAS questions as they pertained to taking their next scheduled test in any particular class and did not answer in relation to the course from which they were recruited.

4.1.2. Measures

The 28-item SRLTAS scale was administered. Demographic data collected included academic major, self-reported SAT scores, academic class standing, and an item that asked participants to state the nature of the assessment for which they were answering the SRLTAS questions (e.g., multiple choice, short answer, essay, other).

As noted, the SRLTAS was designed to assess students’ test anxiety in temporal relation to the test (before (n = 6), during (n = 7), and after (n = 6)). These items included additional elements within these time categories, such as the effects of studying a lot, how the test would affect their grade, about challenges related to time limits, and how stress was experienced when people talked about the test. Items were also created to address anxiety related to the social consequences of testing; such has how parents, teachers, friends, and classmates, might view their performance (n = 4). Items targeted anxiety related to test item format (n = 3). Finally, two items were included that asked perceptions regarding whether TA helps performance or hinders performance.

4.1.3. Results

Table 1 presents the SRLTAS items, item-level means, and standard deviations from all studies. Item-level statistics suggest variance on the items given the Study 1 sample and evidence suggested the viability of the items as part of the overall scale. The internal consistency of the measure was strong (α = 0.90).

Gender differences were indicated in Study 1 t(258) = 5.278, p < 0.001 with women reporting significantly more anxiety than men. Students reported the greatest anxiety for multiple-choice exams with the least reported anxiety for essay exams. However, differences across item formats were not significant F(3, 247) = 0.466, p = 0.71. Further, although the class standing data were not

Table 1. Item Level Descriptive Statistics for Items across Studies 1 - 4.

normally distributed; descriptively, seniors, however did report the lowest anxiety (m = 77.35; n = 20) with sophomores, the majority of the sample population, reporting the highest (m = 88.30, n = 157).

In response to the question as to whether students perceived that test anxiety increases or decreases their performance the mean on these individual items indicated that more students agree that TA hinders their performance (m = 3.04) rather than benefits their performance (m = 2.44). These items were only moderately, but significantly, negatively correlated (r = −0.249, p < 0.001).

An unrestricted Maximum likelihood factor analysis with Varimax rotation was conducted with the 26 items included (we omitted the benefit and hinder items). Cases were deleted using a listwise deletion and an eigenvalue of 1 was used to interpret the factor structure. This analysis yielded a six factor solution that accounted for 50.45% of the sample variance.

In constructing the SRLTAS we recognized the overall construct of TA but grounded the items based upon 5 perceived dimensions. When comparing the unrestricted 6 factor solution the vast majority of items affiliated with factors as expected. Only the last two items demonstrated loadings on the sixth factor. One item did not load on any factor (Can’t do part of test). One item, multiple choice test, did not load as expected. Table 2 provides the item factor loadings.

Given support for the underlying factor structure through the completely unrestricted analysis, we tested a second EFA but constrained the number of factors to 5. Again, we used an orthogonal, Varimax rotation with a.4 item to factor criteria to interpret item loadings. The result was a model that accounted for 47% of the sample variance. Restricting the analysis to five factors generally supported the proposed factor structure, but yet demonstrated some items did not load as expected. For example, When taking multiple choice exams, loaded with items that represented the factor during the test, rather than the planned factor type of item.

In conclusion, Exploratory Factor Analyses from data in Study 1 indicated support for five factors: social consequences; to include concerns regarding how parents, friends, classmates and teachers may view test performance; item types; to include items related to anxiety across item formats; and temporal aspects of anxiety; that is how stress is felt before, during, and after an exam. Two individual items concerned whether test anxiety helps or hinders performance. In Study 1, these two items we inversely correlated, as expected, but yet not strongly inversely related to indicate that students did not simply endorse one or the other beliefs about the effects of test anxiety, but instead that participants held the belief that anxiety both helps and hinders potential performance.

4.1.4. Discussion

Findings from Study 1 indicated adequate item level variance for the SRLTAS items. Further, an unrestricted Exploratory Factor Analysis, indicated items generally loaded as was expected and was indicative that items were measuring a broader TA construct as well as the potential for independent factor level

Table 2. Exploratory Factor Analyses Rotated Factor Loadings for Study 1, 3.

measurement. Given these findings we proceeded with additional tests of the instrument.

4.2. Study 2

After determining participant demographic characteristics in relation to the SRLTAS in Study 1, student characteristics were not the focus of Studies 2 and 3. Rather, the focus of these studies was item and construct characteristics of the SRLTAS. In Study 2, a small sample was acquired to further examine the SRLTAS through a stability analysis. Study 2 data also served as a pilot study for a larger convergent validity examination in Study 3.

Two primary research questions guided Study 2.

1) What is the stability of the scores on the SRLTAS as reported by college students?

Although test anxiety has situational elements, we anticipated strong stability estimates for the SRLTAS in Study 2. Others have reported stability in college students’ test anxiety within a given semester. Cassady (2001) for example, reported strong stability estimates for both cognitive anxiety and bodily symptoms. Pintrich and Garcia (1993) also reported stability of test anxiety and of cluster affiliations of college students who had been administered the Motivated Strategies for Learning Questionnaire.

2) Are there SRLTAS scores correlated with scores from existing TA measures?

The SRLTAS was developed to measure unique elements of test anxiety not well addressed with previous existing measures. However, scores on the SRLTAS were expected to be positively correlated with scores from the administration of other established test anxiety scales.

4.2.1. Method

University students (n = 36) enrolled in an introductory human development course voluntarily participated in the study for 1% course credit. The course in which students were enrolled fulfills a general education requirement at the institution and enrolls students from a variety of majors. The measures in the study were administered via Qualtrics. All participants completed three randomized test anxiety scales once during the sixth week of the semester and then again during the ninth week of the semester. Spring break occurred between administrations so 4 weeks separated the two administrations. Students were instructed to reference their next scheduled test in any class when answering the scales. This administration strategy ensured representative variance in regard to academic subjects as well as the types of assessments typically administered in University courses.

4.2.2. Measures

SRLTAS: The Self-Regulated Learning Test Anxiety Scale, first tested in Study 1 was developed from a social cognitive self-regulated learning theoretical framework. Factor analyses from Study 1 supported the multidimensional nature of the instrument. Exploratory Factor Analyses from Study 1 indicated support for five factors: social consequences; to include concerns regarding how parents, friends, classmates and teachers may view test performance; item types; to include items related to anxiety across item formats; temporal aspects of anxiety; that is how stress is felt before, during, and after an exam. Two individual items also target the debilitating and beneficial effects of anxiety. Items and descriptive statistics appear in Table 1.

TAS: The 37-item TAS ( Sarason, 1977 ) was also administered. An example item is “I sometimes feel my heart beating very fast during important exams and during tests”. TAS properties are well established through hundreds of studies and reliability estimates are known to be strong ( Sarason, 1980 ). Previous research reported test-retest reliabilities for variations of the TAS as ranging from 0.80 - 0.87 ( Sarason, 1980: p. 281 ).

MSLQTA: The Test Anxiety Scale of the Motivated Strategies for Learning Questionnaire ( Pintrich & Degroot, 1990 ; Pintrich et al., 1993 ) was also administered to participants. The MSLQTA is a general representative measure of test anxiety. The five items on the scale have consistently demonstrated sound internal consistency reliability and strong item to factor correlations (e.g., Pintrich et al., 1993 ). The scale has demonstrated expected negative correlations with course performance ( Pintrich et al., 1993 ). An example item includes: When I take tests I think of the consequences of failing. In a meta-analysis of the often- used measure, Credé and Phillips (2011) reported a mean reliability coefficient of 0.77 for the TA scale across previously reported research.

4.2.3. Results

Table 1 presents the item level means and standard deviations for the SRLTAS for both the administrations in Study 2. Table 3 presents the scale descriptive statistics of the three test anxiety scales at each administration. Reliability coefficients indicate that all measures demonstrated adequate internal consistency reliability.

Table 4 presents correlations among scales across administrations. Stability

Table 3. Scale level Descriptive Statistics for Study 2.

SRLTAS = Self-Regulated Learning Test Anxiety Scale; MSLQTA = Motivated Strategies for Learning Test Anxiety; TAS = Test Anxiety Scale. N = 36.

Table 4. Correlations among measures and stability estimates (in bold) for Study 2.

SRLTAS = Self-Regulated Learning Test Anxiety Scale; MSLQTA = Motivated Strategies for Learning Test Anxiety; TAS=Test Anxiety Scale. N = 36; ***p < 0.001.

estimates are presented in bold font. The SRLTAS as well as the TAS and the MSLQTA all demonstrated sound stability. Despite the low power from the limited sample, all inter-scale correlations demonstrated positive statistical significance indicating correspondence among these measures of test anxiety.

Given these demonstrated scale properties of the SRLTAS in conjunction with findings from Study 1, we next pursued Study 3 to further examine the construct validity of the SRLTAS with a larger sample of participants. Study 3 addressed two primary research questions.

1) How are scores on the SRLTAS correlated with scores from administration of other test anxiety measures?

Given findings from the relatively small sample examined in the stability analysis, we expected moderate to strong significant positive correlations among the three test anxiety scales in Study 3, which would provide initial construct support for the measure. While the scales administered target varied aspects of TA, overall TA should be correlated across measures.

2) Is the factor structure of the SRLTAS items as identified in Study 1 consistent in a second administration of the instrument with a new population?

To address this question, the underlying factor structure of the SRLTAS was again explored in Study 3 to confirm and extend findings from Study 1.

4.3. Study 3

4.3.1. Method

Participants (n = 260) were recruited during another semester of students enrolled in the same undergraduate course in Educational Psychology as Study 1. As with Study 2, the focus of the study was the items and scales. All scales administered in Study 2 were administered again in Study 3. Once again, the order of the scales was randomized during the administration through Qualtrics.

SRLTAS: The 28-item Self-Regulated Learning Test Anxiety Scale was administered. Internal consistency reliability analysis for all items in the current sample was 0.94.

TAS: The 37-item TAS ( Sarason, 1977 ) was administered. Sarason (1977) noted the multidimensional nature of the instrument. In the current administration, the internal consistency of the scale was 0.90 and as indicated by a maximum likelihood exploratory factor analysis with Varimax rotation, seven factors accounted for 47% of the sample variance.

MSLQTA: The 5-item MSLQTA (e.g., Pintrich et al., 1993 ) was again administered. In Study 3 the reliability estimate for the scale was 0.84. Maximum likelihood exploratory factor analysis from administration in this sample indicated the items loaded on one factor, which accounted for 51% of the sample variance. Additional research supports the consistency of these items through model fit analyses ( Hilpert et al., 2013 ).

4.3.2. Results

Table 1 presents the item level means and standard deviations for the SRLTAS.

Table 5. Scale Level Descriptive Statistics for Study 3.

SRLTAS = Self-Regulated Learning Test Anxiety Scale; MSLQTA = Motivated Strategies for Learning Test Anxiety; TAS = Test Anxiety Scale.

Table 6. Correlations among Scales in Study 3.

SRLTAS = Self-Regulated Learning Test Anxiety Scale; MSLQTA = Motivated Strategies for Learning Test Anxiety; TAS = Test Anxiety Scale. *** Correlation is significant p < 0.001 level.

Table 5 presents the scale level means and standard deviations and Table 6 presents the correlations among the scales administered in Study 3. To address the first research question in Study 3, as also indicated in Study 2, there were significant correlations among the test anxiety scales.

To address the second research question in Study 3, an exploratory factor analyses with a maximum likelihood method with Varimax rotation indicated 5 factors that accounted for 47% of the sample variance. Study 3 item loadings of the SRLTAS are presented in bold in Table 2. With few exceptions the factor structure in Study 3 replicated Study 1 findings. Item 11, regarding TA on multiple choice items loaded as it did in Study 1, with “after” rather than the expected, item type, items. In Study 3, item 14, regarding when one can’t do part of the test loaded with items intended on the “during” factor as originally proposed. This item had not loaded in Study 1. All other items loaded as expected, however, lending support for the intended underlying five factor structure of the scale.

4.3.3. Discussion

Findings from Studies 2 and 3 provide sound psychometric support for the SRLTAS. Consistent with expectations, relations between the SRLTAS and other known measures of test anxiety were generally moderate to strong. Although the SRLTAS focuses on elements of test anxiety not tackled in other instruments, the underlying experience of test anxiety would likely be experienced and reported across inventories. Therefore, significant moderate correlations were expected among the TA measures. With few exceptions, the factor structure as indicated with a new sample in Study 3 largely replicated that found in Study 1. Findings also supported stability of TA as measured across inventories and time. Such stability can inform interventions to target strategies for students to combat the ill effects of TA.

Given support for the SRLTAS found from Studies 1 - 3, in Study 4, we turned attention to discriminant abilities of the SRLTAS. One descriptive and one correlational question were addressed in Study 4.

1) What are the characteristics SRLTAS scores based upon respondent characteristics?

In Study 1, analyses indicated higher test anxiety for females than for males. We expected replication of this finding in Study 4. Further, test anxiety would be expected to decrease over the collegiate academic experience as learners become more familiar with collegiate expectations. Test type was also explored as a factor in students’ reported test anxiety in Study 4. In Study 4 we also examined whether test anxiety as measured by the SRLTAS was more prevalent in courses in a student’s major, where arguably the stakes are higher, than in elective courses.

2) How do scores on the SRLTAS relate to other important measures of student learning?

In Study 4 we explored the ability of SRLTAS scores to discriminate from other measures of student learning. To that end, the SRLTAS was administered with measures of two additional Self-regulated learning constructs: Self-efficacy and self-handicapping. We expected that TA as measured by the SRLTAS would be negatively related to self-efficacy and we expected a positive relationship between TA and Self-handicapping.

Self-efficacy

One of the motivational constructs that is commonly suggested to have an important impact on test anxiety is self-efficacy. Self-efficacy refers to one’s perceived capabilities to organize and execute the courses of action required to achieve certain results ( Bandura, 2006 ). That is, people with high efficacy for a task believe that they are capable of completing the given task successfully. Bandura (1986) has argued that self-efficacy is a critical determinant of human cognition, motivation, affect, and action. Self-efficacy helps to explain students’ effort and persistence for academic tasks ( Bandura, 1986 ; Pajares, 1996 ). Previous findings provide evidence that college students with high self-efficacy are more likely to seek challenges, put effort, and persevere in the face of difficulties ( Cervone & Peake, 1986 ; Holder, 2007 ). For example, Torres and Solberg (2001) reported a positive relationship between academic self-efficacy and the number of hours students spent studying. In addition, a number of studies demonstrated that self-efficacy is related to the use of effective learning strategies that, in turn, result in higher achievement in college ( Hsieh, Sullivan, Sass, & Guerra, 2012 ; Sins, van Joolingen, Savelsbergh, & van Hout-Wolters, 2008 ; Walker, Greene, & Mansell, 2006 ; Zajacova, Lynch, & Espenshade, 2005 ). For instance, Walker, Greene, and Mansell (2006) found that self-efficacy was predictive of deep cognitive processing among college students and Zajacova, Lynch, and Espenshade (2005) reported that self-efficacy was predictive of college GPA.

In addition to its influence on motivation and achievement, social cognitive theory posits that self-efficacy affects the level of stress and anxiety that people experience when confronted with a challenging task or situation. According to Bandura (1997) , people who believe they can control potential difficulties do not construct apprehensive cognitions and, thus, are not intimidated by them. However, those who do not believe they can cope with expected obstacles experience high levels of distress and anxiety arousal. A number of empirical findings have offered support for a negative association between self-efficacy and stress or test anxiety among college students (e.g., Barrows et al., 2013 ; Bandalos, Finney, & Geske, 2003 ; Bandalos, Yates, & Thorndike-Christ, 1995 ; Bong, Cho, Ahn, & Kim 2012 ; Gigliotti & Huff, 1995 ; Nie, Lau, & Liau, 2011 ; Onyeizugbo, 2010 ). For example, Kitsantas, Winsler and Huie (2008) reported a slight negative correlation between test anxiety and self-efficacy. In a study testing a model of achievement in statistics, Bandalos, Finney, and Geske (2003) found that test anxiety had a meditational role in the relationship between self-efficacy and achievement. Given these previous findings, we anticipated TA as measured by the SRLTAS would demonstrate moderate negative relations to self-efficacy.

Self-handicapping

Self-handicapping is one form of avoidant behavior. People with self- handicapping behaviors avoid situations in which they may be seen to have low ability, in order to protect their self-worth and control subsequent negative affect ( Covington, 1992 ; Rhodewalt & Vohs, 2005 ). These individuals tend to avoid risk-taking, resist seeking help, and give up when faced with challenge. Similarly, self-handicapping behavior refers to a defensive strategy in which people create, or at least claim, obstacles in advance of performance on a task when potential failure would confirm that one’s ability is lacking ( Rhodewalt & Vohs, 2005 ). That is, self-handicappers make an excuse to which future failure could be attributed. Protecting self-worth rather than achievement gain is of eminent importance for them ( Rhodewalt & Vohs, 2005 ). Examples of self-handicapping behavior include deliberately reducing effort, fooling around the night before a test, overcommitting on nonacademic tasks, such as too much employed work or extracurricular activities, or consuming alcohol prior to performance. Numerous studies have reported correlations between self-handicapping and test anxiety. For example, in a sample of college undergraduate students, Gadbois and Sturgeon (2011) administered the MSLQ and reported a significant positive correlation between self-handicapping and test anxiety. We anticipated moderate positive correlation between TA as measured by the SRLTAS and self-handicapping.

4.4. Study 4

4.4.1. Participants

A new sample of participants from the same institution as those from Studies 1 - 3 volunteered to participate in the study. In this sample 262 students participated (51 men; 211 women). Students in Study 4 represented 38 different majors. The mean GPA reported for the sample was 3.40 while the mean reported combined Verbal and Math SAT was 1125.

4.4.2. Measures

The 28 item SRLTAS was administered to participants.

The 10 item Generalized Self-Efficacy Scale (GSES) was administered to assess Generalized Self-efficacy. The English version of the GSES, which was originally developed in German, was published in 1995 ( Schwarzer & Jerusalem, 1995 ) and slightly modified in 2000 ( Scholz, Dona, Sud, & Schwarzer, 2002 ). Self-efficacy is often regarded as domain-specific ( Bandura, 2006 ; Pajares, 1996 ). The GSES, in contrast, was designed to assess a broad and global sense of personal confidence in one’s coping ability across a wide range of demanding or novel situations ( Schwarzer, Bäßler, Kwiatek, Schröder, & Zhang, 1997 ). As such, the purpose of the instrument is not to measure self-efficacy for an individual task. An example item includes, “I can always manage to solve difficult problems if I try hard enough.” The scale is widely used and is reported to be reliable and unidimensional across dozens of nations (e.g., Canada, France, Korea, and India). In previous multicultural validation studies the GSES has demonstrated adequate internal consistency reliability (α = 0.86 - 0.94) ( Luszczynska et al., 2005a ; Luszczynska et al., 2005b ). For administration in the current study, the scale was modified slightly in two ways. First, students answered each item on a 5 point, rather than 4 point Likert-type scale, ranging from 1 = Not at all true to 5 = Exactly true. This revision was made so items across instruments used similar scales. Second, the measure was also specifically altered to assess self-efficacy beliefs in relation to taking an exam. A similar revised version of the Generalized Self-Efficacy Scale was employed by Jackson (2002) .

The Self-Handicapping Scale (SHS) ( Jones & Rhodewalt, 1982 ), measures students’ propensity to use self-handicapping behavior. Students rated each item on a 5-point Likert-scale ranging from 1 = Disagree very much to 5 = Agree very much. Example items include, “I sometimes enjoy being mildly ill for a day or two because it takes off the pressure.” and “I admit that I am tempted to rationalize when I don’t live up to other’s expectations.” Rhodewalt (1990) reported that the scale yielded acceptable internal consistency (α = 0.79) and stability (test-retest reliability r = 0.74) when administered in large group-testing sessions.

Study 4 also provided opportunity to re-examine and compare findings related to demographic characteristics and scores on the SRLTAS and to further examine the factor structure of the measure.

4.4.3. Results

Table 1 provides the item level descriptives for the SRLTAS as administered in Study 4. Scale level descriptives for all measures as well as the SRLTAS as administered in Study 4 appear in Table 7. All measures illustrated sound internal consistency in this study. Correlational analyses, as found in Table 8, indicated that, as expected, the SRLTAS was negatively correlated with self-efficacy (r = −0.14, p < 0.05) and positively correlated with self-handicapping (r = 0.84, p < 0.01).

Further, as reported in previous research and consistent with findings from Study 1, females reported significantly more test anxiety than did males, t(260) = 2.55, p < 0.05 There were no gender differences indicated for self-efficacy or

Table 7. Scale Descriptive Statistics for Study 4.

SHS = Self-Handicapping Scale, GES = Generalized Self-Efficacy Scale, SRTLAS = Self-Regulated Learning Test Anxiety Scale. N = 261.

Table 8. Correlations among Scales in Study 4.

SHS = Self-Handicapping Scale, GES = Generalized Self-Efficacy Scale, SRTLAS = Self-Regulated Learning Test Anxiety Scale. N = 261; ***. Correlation is significant p < 0.001.

self-handicapping. These findings are consistent with expectations and previous research but should be considered with caution given the disproportionate representation of women in the current sample.

There was a slight negative correlation (rho = −0.11, p > 0.05) between reported test anxiety and class standing with more advanced students reporting less anxiety. This trend was not statistically significant. Interestingly the correlation between reported GPA and TA was also not significant (r = −0.003, p > .05). Students reported their anxiety on the class immediately following the course in which they were enrolled. Of interest is that test anxiety did not differ based upon whether the class was a required course or an elective t(254) = 0.467, p > 0.05).

Exploratory factor analyses conducted with Study 1 and Study 3 data demonstrated general consistency in the underlying factor structure of the SRLTAS and generally supported a five factor solution. Given the new sample in Study 4, maximum likelihood analyses with Varimax rotation forced 5 factors which accounted for 53% of the sample variance. Model fit using AMOS with the previously identified factors, however, demonstrated relatively poor fit (CMin = 2.53; p < 0.001; GFI = 0.68; CFI; 0.87; RMSEA = 0.07). Based upon the CFA fit conducted with Study 4 data, item performance from data in Studies 1, 3 & 4 were further examined. Examination of the rotated factor matrix from the EFA and examination of fit indices, for example, indicated that as with Study 1 and Study 3, Item 11, the multiple choice item, intended to load with item type, displayed poor fit. In Study 1, but not Study 3 exploratory factor analyses indicated item 14, can’t do part of the test, did not load on any factors.

4.4.4. Discussion

Findings from Study 4, were consistent with the three previous studies, reported in the current research, and indicated adequate item level variance and strong internal consistency reliability for the SRLTAS. Females reported more TA; TA decreased as academic standing increased; and there was no difference in the amount of TA reported between required and non-required coursework. This study, intended to provide additional construct validity evidence through discrimination among other self-regulatory constructs, indicated that, as expected, scores from the SRLTAS were positively correlated with reports of higher self- handicapping and negatively correlated with endorsed generalized self-efficacy. These findings lend support for the SRLTAS. Descriptively five factors appear to support the measure. Confirmatory factor analysis of the five factors, however, indicated limited support for the independence of the proposed five factors of the scale.

5. Overall Discussion

Across four studies the 28 item SRLTAS (Items are found in Table 1) was developed through creation of new items that were inspired by social learning theory and self-regulated learning theories. Through these lenses, TA was conceptualized as representative stress influenced by contextual and environmental variables. Unlike previous measures that targeted the emotionality and worry elements of TA, or TA generally; the intent of SRLTAS scale development was to examine dimensions of test anxiety not previously addressed. The SRLTAS was developed not only as a theoretically and empirically grounded tool for research but as an instrument with intent to guide practitioners with potential identification of contexts that result in increased anxiety for students that can be targeted with strategy interventions to decrease the negative results of such stress.

Across the studies, item and scale level descriptive statistics indicated adequate variance and reliability analysis indicated strong consistency. As with findings from previous TA research (e.g., Everson et al., 1991 ; Kosmala-Anderson & Wallace, 2007 ; Hembree, 1988 ) females reported greater anxiety and anxiety decreased across grade levels as reported for Study 1 and 4. Study 2 provided strong stability evidence and initial construct support. Confirmatory construct validity evidence was found in Study 3, where correlations between the SRLTAS and other established measures were examined. Expected moderate significant correlations suggest support for the SRLTAS as a measure that captures elements of test anxiety. Direct overlap with previous measures was not anticipated as the SRLTAS was developed to capture unique elements of test anxiety not addressed with existing instrumentation.

Factor analyses of the instrument in Studies 1, 3, and 4 support interpretation of the SRLTAS as a multidimensional scale to include factors related to the social consequences of test anxiety (e.g., what others think), anxiety differences by types of test items, temporal aspects of test anxiety (e.g., varied anxiety in relation to the administration of the test), anxiety about the consequences of the test score, and the debilitating and beneficial effects of anxiety.

6. Limitations and Future Directions

Taken together, the studies presented in this work provide insight and valuable information regarding the SRLTAS. Nonetheless, limitations of the present work suggest areas for future research. The samples in the studies presented consisted of college age learners enrolled in a research university and while the sample of students was representative of the University racially and ethnically, a higher percentage of females, known to be more test anxious, was present in each of the studies. Future research should test the SRLTAS with college students from other majors. Further future research with samples to include younger learners, students enrolled in less competitive universities, and samples with larger representation of diverse students is needed. Further, additional research that explores students’ behavior and experiences, rather than their reported stress and anxiety should be conducted. In this work, self-efficacy and self-handicapping were examined to illustrate the relationship between the SRLTAS and additional representative self-regulatory constructs. However, the relationship between TA as measured by the SRLTAS should also be examined in relation to other self-regulatory learning strategies and concepts such as help-seeking and metacognition. Researching these constructs may provide additional insights into how targeted interventions could be designed to improve performance and reduce test anxiety.

Ideally, future research will also inform practice. The factors included in the SRLTAS allow individuals to determine how specific aspects of the testing situation influence their experience of stress. Individuals could either use the information to attempt to regulate their own thoughts and behaviors during high periods of anxiety by utilizing cognitive or behavioral relaxation techniques, or external interventions and structures could be established to help students with debilitating anxiety.

Many programs have been developed to combat TA. Damer and Melendres (2011) , for example developed a four-week group intervention program that focuses on cognitive-behavioral strategies as well as study skills that are shared with college students. Others, such as Tatum, Lundervold, and Ament (2006) and Larson and colleagues (2010) have focused on relaxation training. Tseng and Wang (2011) , instead, applied guided imagery to combat students’ anxiety.

Future, research findings from the SRLTAS might direct such efforts to benefit students. For example, time could be set aside for students at the most beneficial time, as indicated by the SRLTAS, either before, after, or during tests, to engage in specific cognitive or behavioral relaxation techniques. Additionally, individual counseling sessions could be conducted for students whose perceptions of the social environment are causing excessive anxiety. If a large number of students in a given classroom or school experience similar levels of social based test anxiety, group counseling or instructional lessons could be designed in an attempt to reduce the overall anxiety in the group. The SRLTAS may inform the structure and target of future interventions, which could potentially be beneficial to students of all ages and specializations.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Ali, M. S., & Moshin, M. N. (2013). Test Anxiety Inventory (TAI): Factor Analysis and Psychometric Properties. IOSR Journal of Humanities and Social Science, 8, 72-81.
[2] Alpert, R., & Haber, R. N. (1960). Anxiety in Academic Achievement Situations. Journal of Abnormal and Social Psychology, 61, 207-215.
https://doi.org/10.1037/h0045464
[3] Bandalos, D. L., Finney, S. J., & Geske, J. A. (2003). A Model of Statistics Performance Based on Achievement Goal Theory. Journal of Educational Psychology, 95, 604.
https://doi.org/10.1037/0022-0663.95.3.604
[4] Bandalos, D. L., Yates, K., & Thorndike-Christ, T. (1995). Effects of Math Self-Concept, Perceived Self-Efficacy, and Attributions for Failure and Success on Test Anxiety. Journal of Educational Psychology, 87, 611.
https://doi.org/10.1037/0022-0663.87.4.611
[5] Bandura, A. (1986). The Explanatory and Predictive Scope of Self-Efficacy Theory. Journal of Social and Clinical Psychology, 4, 359-373.
https://doi.org/10.1521/jscp.1986.4.3.359
[6] Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall.
[7] Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall.
[8] Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York, NY: Freeman.
[9] Bandura, A. (2006). Adolescent Development from an Agentic Perspective. Self-Efficacy Beliefs of Adolescents, 5.
[10] Barrows, J., Dunn, S., & Lloyd, C. A. (2013). Anxiety, Self-Efficacy, and College Exam Grades. Universal Journal of Educational Research, 1, 204-208.
[11] Bellinger, D. B., DeCaro, M. S., & Ralston, P. A. (2015). Mindfulness, Anxiety, and High-Stakes Mathematics Performance in the Laboratory and Classroom. Consciousness and Cognition, 37, 123-132. https://doi.org/10.1016/j.concog.2015.09.001
[12] Bembenutty, H. (2008). Self-Regulation of Learning and Test Anxiety. Psychology Journal, 5, 122-139.
[13] Benson, J., & Tippets, E. (1990). Confirmatory Factor Analysis of the Test Anxiety Inventory. Cross-Cultural Anxiety, 4, 149-156.
[14] Bong, M., Cho, C., Ahn, H. S., & Kim, H. J. (2012). Comparison of Self-Beliefs for Predicting Student Motivation and Achievement. Journal of Educational Research, 105, 336-352.
https://doi.org/10.1080/00220671.2011.627401
[15] Brooks, B. D., Alshafei, D., & Taylor, A. (2015). Development of the Test and Examination Anxiety Measure (TEAM). Psi Chi Journal of Psychological Research, 20.
https://doi.org/10.24839/2164-8204.JN20.1.2
[16] Cassady, J. C. (2001). The Stability of Undergraduate Students’ Cognitive Test Anxiety Levels. Practical Assessment, Research & Evaluation, 7, 1-8.
[17] Cassady, J. C., & Johnson, R. E. (2002). Cognitive Test Anxiety and Academic Performance. Contemporary Educational Psychology, 27, 270-295.
https://doi.org/10.1006/ceps.2001.1094
[18] Cervone, D., & Peake, P. K. (1986). Anchoring, Efficacy, and Action: The Influence of Judgmental Heuristics on Self-Efficacy Judgments and Behavior. Journal of Personality and social Psychology, 50, 492.
https://doi.org/10.1037/0022-3514.50.3.492
[19] Chapell, M. S., Blanding, B. Z., Silverstein, M. E., Takahashi, M., Newman, B., Gubi, A., & McCann, N. (2005). Test Anxiety and Academic Performance in Undergraduate and Graduate Students. Journal of Educational Psychology, 97, 268-274.
https://doi.org/10.1037/0022-0663.97.2.268
[20] Covington, M. V. (1992). Making the Grade: A Self-Worth Perspective on Motivation and School Reform. New York, NY: Cambridge University Press.
https://doi.org/10.1017/CBO9781139173582
[21] Credé, M., & Phillips, L. A. (2011). A Meta-Analytic Review of the Motivated Strategies for Learning Questionnaire. Learning and Individual Differences, 21, 337-346.
https://doi.org/10.1016/j.lindif.2011.03.002
[22] Damer, D. E., & Melendres, L. T. (2011). “Tackling Test Anxiety”: A Group for College Students. Journal for Specialists in Group Work, 36, 163-177.
https://doi.org/10.1080/01933922.2011.586016
[23] Driscoll, R. (2007). Westside Test Anxiety Scale Validation. Education Resources Information Center. http://www.testanxietycontrol.com/research/sv.pdf
[24] Everson, H. T., Millsap, R. E., & Rodriguez, C. M. (1991). Isolating Gender Differences in Test Anxiety: A Confirmatory Factor Analysis of the Test Anxiety Inventory. Educational and Psychological Measurement, 51, 243-251.
https://doi.org/10.1177/0013164491511024
[25] Fitch, T., Marshall, J., & McCarthy, W. (2012). The Effect of Solution-Focused Groups on Self-Regulated Learning. Journal of College Student Development, 53, 586-595.
https://doi.org/10.1353/csd.2012.0049
[26] Fountoulakis, K. N., Papadopoulou, M., Kleanthous, S., Papadopoulou, A., Bizeli, V., Nimatoudis, I., & Kaprinis, G. S. (2006). Reliability and Psychometric Properties of the Greek Translation of the State-Trait Anxiety Inventory form Y: Preliminary Data. Annals of General Psychiatry, 5.
[27] Friedman, I. A., & Bendas-Jacob, O. (1997). Measuring Perceived Test Anxiety in Adolescents: A Self-Report Scale. Educational and Psychological Measurement, 57, 1035-1046.
https://doi.org/10.1177/0013164497057006012
[28] Gadbois, S. A., & Sturgeon, R. D. (2011). Academic Self-Handicapping: Relationships with Learning Specific and General Self-Perceptions and Academic Performance over Time. British Journal of Educational Psychology, 81, 207-222.
https://doi.org/10.1348/000709910X522186
[29] Gigliotti, R. J., & Huff, H. K. (1995). Role-Related Conflicts, Strains and Stresses of Older-Adult College Students. Sociological Focus, 28, 329-342.
https://doi.org/10.1080/00380237.1995.10571057
[30] Goetz, T., Frenzel, A. C., Pekrun, R., Hall, N. C., & Lüdtke, O. (2007). Between- and Within-Domain Relations of Students’ Academic Emotions. Journal of Educational Psychology, 99, 715-733. https://doi.org/10.1037/0022-0663.99.4.715
[31] Hembree, R. (1988). Correlates, Causes, Effects, and Treatment of Test Anxiety. Review of Educational Research, 58, 47-77.
https://doi.org/10.3102/00346543058001047
[32] Hilpert, J. C., Stempien, J., van der Hoeven Kraft, K. J., & Husman, J. (2013). Evidence for the Latent Factor Structure of the MSLQ A New Conceptualization of an Established Questionnaire. SAGE Open, 3, Article ID: 2158244013510305.
https://doi.org/10.1177/2158244013510305
[33] Hoferichter, F., Raufelder, D., Ringeisen, T., Rohrmann, S., & Bukowski, W. M. (2015). Assessing the Multi-Faceted Nature of Test Anxiety among Secondary School Students: An English Version of the German Test Anxiety Questionnaire: PAF-E. The Journal of Psychology, 1-23.
[34] Holder, B. (2007). An Investigation of Hope, Academics, Environment, and Motivation as Predictors of Persistence in Higher Education Online Programs. Internet and Higher Education, 10, 245-260.
https://doi.org/10.1016/j.iheduc.2007.08.002
[35] Hong, E. (1998). Differential Stability of Individual Differences in State and Trait Test Anxiety. Learning and Individual Differences, 10, 51-69.
https://doi.org/10.1016/S1041-6080(99)80142-3
[36] Hsieh, P., Sullivan, J. R., Sass, D. A., & Guerra, N. S. (2012). Undergraduate Engineering Students’ Beliefs, Coping Strategies, and Academic Performance: An Evaluation of Theoretical Models. Journal of Experimental Education, 80, 196-218.
https://doi.org/10.1080/00220973.2011.596853
[37] Jackson, J. W. (2002). Enhancing Self-Efficacy and Learning Performance. The Journal of Experimental Education, 70, 243-254.
https://doi.org/10.1080/00220970209599508
[38] Jones, E. E., & Rhodewalt, F. (1982). The Self-Handicapping Scale. Princeton, NJ: Princeton University.
[39] Kitsantas, A., Winsler, A., & Huie, F. (2008). Self-Regulation and Ability Predictors of Academic Success during College: A Predictive Validity Study. Journal of Advanced Academics, 20, 42-68.
https://doi.org/10.4219/jaa-2008-867
[40] Kosmala-Anderson, J., & Wallace, L. M. (2007). Gender Differences in the Psychosomatic Reactions of Students Subjected to Examination Stress. Electronic Journal of Research in Educational Psychology, 5, 325-347.
[41] Larson, H. A., El Ramahi, M. K., Conn, S. R., Estes, L. A., & Ghibellini, A. B. (2010). Reducing Test Anxiety among Third Grade Students through the Implementation of Relaxation Techniques. Journal of School Counseling, 8, 19.
[42] Liebert, R. M., & Morris, L. W. (1967). Cognitive and Emotional Components of Test Anxiety: A Distinction and Some Initial Data. Psychological Reports, 20, 975-978.
https://doi.org/10.2466/pr0.1967.20.3.975
[43] Luszczynska, A., Scholz, U., & Schwarzer, R. (2005a). The General Self-Efficacy Scale: Multicultural Validation Studies. Journal of Psychology: Interdisciplinary and Applied, 139, 439-457.
https://doi.org/10.3200/JRLP.139.5.439-457
[44] Luszczynska, A., Gutierrez-Dona, B., & Schwarzer, R. (2005b). General Self-Efficacy in Various Domains of Human Functioning: Evidence from Five Countries. International Journal of Psychology, 40, 80-89.
https://doi.org/10.1080/00207590444000041
[45] Lyndon, M. P., Strom, J. M., Alyami, H. M., Yu, T. C., Wilson, N. C., Singh, P. P., Lemanu, D. P., Yielder, J., & Hill, A. G. (2014). The Relationship between Academic Assessment and Psychological Distress among Medical Students: A Systematic Review. Perspectives on Medical Education, 3, 405-418.
https://doi.org/10.1007/s40037-014-0148-6
[46] Martin, A. J., & Marsh, H. W. (2008). Academic Buoyancy: Towards an Understanding of Students’ Everyday Academic Resilience. Journal of School Psychology, 46, 53-83.
https://doi.org/10.1016/j.jsp.2007.01.002
[47] Nassar, Y. H. B., Qaraeen, K., & Abu Naba’h, A. (2011). Secondary School Students’ Perceptions of Essay and Multiple-Choice Type Exams. Dirasat, Educational Sciences, 38.
[48] Nie, Y., Lau, S., & Liau, A. K. (2011). Role of Academic Self-Efficacy in Moderating the Relation between Task Importance and Test Anxiety. Learning and Individual Differences, 21, 736-741.
https://doi.org/10.1016/j.lindif.2011.09.005
[49] Onyeizugbo, E. U. (2010). Self-Efficacy, Gender and Trait Anxiety as Moderators of Test Anxiety. Electronic Journal of Research in Educational Psychology, 8, 299-312.
[50] Osterhouse, R. A. (1975). Classroom Anxiety and the Examination Performance of Test-Anxious Students. The Journal of Educational Research, 247-250.
https://doi.org/10.1080/00220671.1975.10884763
[51] Pajares, F. (1996). Self-Efficacy Beliefs in Academic Settings. Review of Educational Research, 66, 543-578. https://doi.org/10.3102/00346543066004543
[52] Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P., & Perry, R. P. (2011). Measuring Emotions in Students’ Learning and Performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36, 36-48.
https://doi.org/10.1016/j.cedpsych.2010.10.002
[53] Pekrun, R., Goetz, T., Perry, R. P., Kramer, K., Hochstadt, M., & Molfenter, S. (2004). Beyond Test Anxiety: Development and Validation of the Test Emotions Questionnaire (TEQ). Anxiety, Stress & Coping, 17, 287-316.
https://doi.org/10.1080/10615800412331303847
[54] Pintado, I. S., Sánchez-Mateos, J. D., & Escolar-Llamazares, M. C. (2016). A Stress Inoculation Program to Cope with Test Anxiety: Differential Efficacy as a Function of Worry or Emotionality. Avances en Psicología Latinoamericana, 34, 3-18.
https://doi.org/10.12804/apl34.1.2016.01
[55] Pintrich, R. R., & DeGroot, E. V. (1990). Motivational and Self-Regulated Learning Components of Classroom Academic Performance. Journal of Educational Psychology, 82, 33-40.
https://doi.org/10.1037/0022-0663.82.1.33
[56] Pintrich, P., & García, T. (1993). Intraindividual Differences in Students’ Motivation and Self-Regulated Learning. German Journal of Educational Psychology, 7, 99-107.
[57] Pintrich, P. R., Smith, D. A. F., Garcia, T., & Mckeachie, W. T. (1993). Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801-813.
https://doi.org/10.1177/0013164493053003024
[58] Putwain, D. W., Daly, A. L., Chamberlain, S., & Sadreddini, S. (2015). Academically Buoyant Students Are Less Anxious about and Perform Better in High-Stakes Examinations. British Journal of Educational Psychology.
https://doi.org/10.1111/bjep.12068
[59] Puustinen, M., & Pulkkinen, L. (2001). Models of Self-Regulated Learning: A Review. Scandinavian Journal of Educational Research, 45, 269-286.
https://doi.org/10.1080/00313830120074206
[60] Raufelder, D., Drury, K., Jagenow, D., Hoferichter, F., & Bukowski, W. (2013). Development and Validation of the Relationship and Motivation (REMO) Scale to Assess Students’ Perceptions of Peers and Teachers as Motivators in Adolescence. Learning and Individual Differences, 24, 182-189. https://doi.org/10.1016/j.lindif.2013.01.001
[61] Rhodewalt, F. (1990). Self-Handicappers. In Self-Handicapping (pp. 69-106). Springer.
https://doi.org/10.1007/978-1-4899-0861-2_3
[62] Rhodewalt, F. & Vohs, K. D. (2005). Defensive Strategies, Motivation, and the Self: A Self-Regulatory Process View. In A. J. Elliot, & C. S. Dweck (Eds.), Handbook of Competence and Motivation (pp. 548-565). New York, NY: The Guilford Press.
[63] Ruiz, M. C., Raglin, J. S., & Hanin, Y. L. (2015). The Individual Zones of Optimal Functioning (IZOF) Model (1978-2014): Historical Overview of Its Development and Use. International Journal of Sport and Exercise Psychology, 1-23.
[64] Sarason, I. G. (1980). Introduction to the Study of Test Anxiety. In I. G. Sarason (Ed.), Test Anxiety: Theory, Research, and Applications (pp. 3-14). Hillsdale, NJ: Lawrence Erlbaum Associates.
[65] Sarason, I. G. (1977). The Test Anxiety Scale: Concept and Research. In C. D. Spielberger, & I. G. Sarason (Eds.), Stress and Anxiety (pp. 193-216, Vol. 5). Washington DC: Hemisphere Publishing Corp.
[66] Sarason, S. B., Davidson, K., Lighthall, F., & Waite, R. (1958). A Test Anxiety Scale for Children. Child Development, 29, 105-113.
https://doi.org/10.2307/1126274
[67] Scholz, U., Dona, B. G., Sud, S., & Schwarzer, R. (2002). Is General Self-Efficacy a Universal Construct? Psychometric Findings from 25 Countries. European Journal of Psychological Assessment, 18, 242.
https://doi.org/10.1027//1015-5759.18.3.242
[68] Schwarzer, R. (1990). Current Trends in Anxiety Research. In P. J. D. Drenth, J. A. Sergeant, & R. J. Takens (Eds.), European Perspectives in Psychology (pp. 225-244). Chichester: Wiley.
[69] Schwarzer, R., Bäßler, J., Kwiatek, P., Schröder, K., & Zhang, J. X. (1997). The Assessment of Optimistic Self-Beliefs: Comparison of the German, Spanish, and Chinese Versions of the General Self.
[70] Schwarzer, R., & Jerusalem, M. (1995). Generalized Self-Efficacy Scale. In J. Weinman, S. Wright, & M. Johnston (Eds.), Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs (pp. 35-37).Windsor: NFER-NELSON.
[71] Sins, P. H., van Joolingen, W. R., Savelsbergh, E. R., & Van Hout-Wolters, B. (2008). Motivation and Performance within a Collaborative Computer-Based Modeling Task: Relations between Students’ Achievement Goal Orientation, Self-Efficacy, Cognitive Processing, and Achievement. Contemporary Educational Psychology, 33, 58-77.
https://doi.org/10.1016/j.cedpsych.2006.12.004
[72] Spielberger, C. D. (1980). Test Anxiety Inventory. Mind Garden Incorporated.
[73] Spielberger, C. D., Anton, W. D., & Bedell, J. (2015). The Nature and Treatment of Test Anxiety. In Emotions and Anxiety: New Concepts, Methods, and Applications (pp. 317-344).
[74] Spielberger, C. D., Gonzalez, H. P., Taylor, C. J., Algaze, B., & Anton, W. D. (1978). Examination Stress and Test Anxiety. In C. D. Spielberger, & I. G. Sarason (Eds.), Stress and Anxiety (Vol. 5, pp. 167-191). New York, NY: Hemisphere/Wiley.
[75] Tatum, T., Lundervold, D. A., & Ament, P. (2006). Abbreviated Upright Behavioral Relaxation Training for Test Anxiety among College Students: Initial Results. International Journal of Behavioral Consultation and Therapy, 2, 475-480.
https://doi.org/10.1037/h0101001
[76] Torres, J. B., & Solberg, V. S. (2001). Role of Self-Efficacy, Stress, Social Integration, and Family Support in Latino College Student Persistence and Health. Journal of Vocational Behavior, 59, 53-63. https://doi.org/10.1006/jvbe.2000.1785
[77] Tseng, Y., & Wang, M. L. (2011). The Application of Guided Imagery to Reduce High School Students’ Test Anxiety. Journal of Youth Studies, 14, 98-110.
[78] Virtanen, P., Nevgi, A., & Niemi, H. (2015). Self-Regulation in Higher Education: Students’ Motivational, Regulational and Learning Strategies, and Their Relationships to Study Success. Studies for the Learning Society, 3, 20-34.
https://doi.org/10.2478/sls-2013-0004
[79] Von der Embse, N., Barterian, J., & Segool, N. (2013). Test Anxiety Interventions for Children and Adolescents: A Systematic Review of Treatment Studies from 2000-2010. Psychology in the Schools, 50, 57-71.
https://doi.org/10.1002/pits.21660
[80] Walker, C. O., Greene, B. A., & Mansell, R. A. (2006). Identification with Academics, Intrinsic/Extrinsic Motivation, and Self-Efficacy as Predictors of Cognitive Engagement. Learning and Individual Differences, 16, 1-12.
https://doi.org/10.1016/j.lindif.2005.06.004
[81] Wine, J. (1971). Test Anxiety and Direction of Attention. Psychological Bulletin, 76, 92.
https://doi.org/10.1037/h0031332
[82] Winne, P. H. (2005). A Perspective on State-of-the-Art Research on Self-Regulated Learning. Instructional Science, 33, 559-565.
https://doi.org/10.1007/s11251-005-1280-9
[83] Wolters, C. A., & Hussain, M. (2015). Investigating Grit and Its Relations with College Students’ Self-Regulated Learning and Academic Achievement. Metacognition and Learning, 10, 293-311.
https://doi.org/10.1007/s11409-014-9128-9
[84] Zajacova, A., Lynch, S. M., & Espenshade, T. J. (2005). Self-Efficacy, Stress, and Academic Success in College. Research in Higher Education, 46, 677-706.
https://doi.org/10.1007/s11162-004-4139-z
[85] Zimmerman, B. J. (2008). Investigating Self-Regulation and Motivation: Historical Background, Methodological Developments, and Future Prospects. American Educational Research Journal, 45, 166-183.
https://doi.org/10.3102/0002831207312909
[86] Zuckerman, M., & Spielberger, C. D. (2015). Emotions and Anxiety (PLE: Emotion): New Concepts, Methods, and Applications. Psychology Press.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.