Araştırma Makalesi
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Academic Anxiety Scale: A Scale Development Study

Yıl 2025, Sayı: 63, 477 - 499, 27.03.2025
https://doi.org/10.53444/deubefd.1531518

Öz

The aim of this study was to develop a scale that will allow the assessment of academic anxiety of undergraduate and graduate students. Three different study groups were used in this research. Study group 1 (N= 405) was formed for Exploratory Factor Analysis (EFA) in the undergraduate group, study group 2 (N = 546) and study group 3 (N = 165) were formed in the undergraduate and graduate groups to carry out the Confirmatory Factor Analysis (CFA) of the factor structure emerging in the undergraduate sample. The EFA revealed that 61.85% of the total variance was explained and a structure consisting of three factors was determined. These factors are named as Cognitive, Emotional and Somatic. It was determined that the fit values obtained in the CFA conducted for the validation of the three-factor structure in the theoretical universe were at a good level. In addition, item analyses were performed and Cronbach Alpha values were calculated. Finally, convergent and discriminant validity were examined, and within the scope of criterion-based validity, significant relationships were determined with the Beck Anxiety Scale, State-Trait Anxiety Inventory and Perceived Stress Scale. As a result, it can be said that the Academic Anxiety Scale, consisting of 12 items and three sub-dimensions, is a valid and reliable measurement tool in measuring the academic anxiety of undergraduate and graduate students. As a result, it can be said that the academic anxiety scale, which consists of 12 items and three sub-dimensions, is a reliable and valid measurement tool for evaluating academic anxiety in undergraduate and graduate students.

Kaynakça

  • Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196
  • Ashton, M. C., Lee, K., Perugini, M., Szarota, P., de Vries, R. E., Di Blas, L., Boies, K., & De Raad, B. (2004). A six-factor structure of personality-descriptive adjectives: Solutions from psycholexical studies in seven languages. Journal of Personality and Social Psychology, 86(2), 356–366. https://doi.org/10.1037/0022-3514.86.2.356
  • Banga, C. L. (2014). Academic anxiety among high school students in relation to gender and type of family. Shodh Sanchayan, 5, 1–7.
  • Banich, M. T. (2009). Executive function: The search for an integrated account. Current Directions in Psychological Science, 18(2), 89–94. https://doi.org/10.1111/j.1467-8721.2009.01615.x
  • Barrett, L. F. (2014). The conceptual act theory: A précis. Emotion Review, 6(4), 292–297. https://doi.org/10.1177/1754073914534479
  • Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139–161.
  • Beck, A. T., & Bredemeier, K. (2016). A unified model of depression: Integrating clinical, cognitive, biological, and evolutionary perspectives. Clinical Psychological Science, 4(4), 596–619. https://doi.org/10.1177/2167702616628523
  • Beck, A. T., Epstein, N., Brown, G., & Steer, R. (1988). Beck Anxiety Inventory [Database record]. APA PsycTests.
  • Beilock, S. L., & Maloney, E. A. (2015). Math anxiety: A factor in math achievement not to be ignored. Policy Insights from the Behavioral and Brain Sciences, 2(1), 4–12.
  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606.
  • Bihari, S. (2014). Academic anxiety among secondaryschool students with reference to gender, habitatand types of school. International Journal ofEducation and Psychological Research, 3, 30–32.
  • Bodas, J., Ollendick, T. H., & Sovani, A. V. (2008). Test anxiety in Indian children: A cross-cultural perspective. Anxiety, Stress, & Coping, 21(4), 387–404. https://doi.org/10.1080/10615800701849902
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Ed.), Testing structural equation models (pp. 136–162). Sage.
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications and programming (2. Ed.). Routledge.
  • Cassady, J. C. (2010). Anxiety in the schools: Causes, consequences, and solutions for academic anxieties. In Handbook of stress and academic anxiety: Psychological processes and interventions with students and teachers. Peter Lang. https://doi.org/10.1007/978-3-031-12737-3_2
  • Cassady, J. C., Pierson, E. E., & Starling, J. M. (2019). Predicting student depression with measures of general and academic anxieties. Frontiers in Education, 4(11), 422375. https://doi.org/10.3389/feduc.2019.00011
  • Clark, C. E., & Schwartz, B. N. (1989). Accounting anxiety: An experiment to determine the effects of an intervention on anxiety levels and achievement of introductory accounting students. Journal of Accounting Education, 7(2), 149–169. https://doi.org/https://doi.org/10.1016/0748-5751(89)90002-X
  • Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316–336. https://doi.org/10.1037//0021-843x.100.3.316
  • Cohen, J. (1960). A Coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37–46.
  • Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 385–396.
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Merrill Prentice Hall.
  • Crowley, S., & Fan, X. (1997). Structural equation modeling: Basic concepts and applications in personality assessment research. Journal of Personality Assessment, 68, 508–531.
  • Denzine, G. M., & Kowalski, G. J. (2002). Confirmatory factor analysis of the assessment for living and learning scale: A cross-validation investigation. Measurement and Evaluation in Counseling and Development, 35(1), 14–26.
  • Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008). A dual-networks architecture of top-down control. Trends in Cognitive Sciences, 12(3), 99–105. https://doi.org/10.1016/j.tics.2008.01.001
  • Eidlin-Levy, H., Avraham, E., Fares, L., & Rubinsten, O. (2023). Math anxiety affects career choices during development. International Journal of STEM Education, 10(1), 49.
  • Erkuş, A. (2022). Psikolojide ölçme ve ölçek geliştirme-1: Temel kavramlar ve İşlemler (6. baskı). Pegem Akademi.
  • Eskin, M., Harlak, H., Demirkıran, F., & Dereboy, Ç. (2013). Algılanan Stres Ölçeğinin Türkçeye uyarlanması: Güvenirlik ve geçerlik analizi. In New/Yeni Symposium Journal, 51(3), 132–140.
  • Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. In Emotion (pp. 336–353). American Psychological Association. https://doi.org/10.1037/1528-3542.7.2.336
  • Field, A. (2013). Discovering statistic using IBM SPSS (London, UK). Sage.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39–50.
  • Fydrich, T., Dowdall, D., & Chambless, D. L. (1992). Reliability and validity of the Beck Anxiety Inventory. Journal of Anxiety Disorders, 6(1), 55–61. https://doi.org/10.1016/0887-6185(92)90026-4
  • Goetz, T., Preckel, F., Zeidner, M., & Schleyer, E. (2008). Big fish in big ponds: a multilevel analysis of test anxiety and achievement in special gifted classes. Anxiety, Stress, and Coping, 21(2), 185–198. https://doi.org/10.1080/10615800701628827
  • Goldberg, L. R. (1992). The development of markers for the Big-Five Factor structure. Psychological Assessment, 4(1), 26–42. https://doi.org/10.1037/1040-3590.4.1.26
  • Gürbüz, S. (2019). Amos ile yapısal eşitlik modellemesi. Seçkin.
  • Hair, J. F., Anderson, R. E., Tahtam, R. L., & Black, W. C. (1998). Multivariate data analysis. Printice-Hall.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis, Pearson new international edition. Pearson.
  • Honcharova-Ilina, T. (2022). THE problem of foreign language anxiety as an affective filter in second language acquisition. АКТУАЛЬНI ПИТАННЯ ГУМАНIТАРНИХ НАУК, 3(48), 202253.
  • Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.
  • Horwitz, E. (2001). Language anxiety and achievement. Annual Review of Applied Linguistics, 21, 112–126. https://doi.org/10.1017/S0267190501000071
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Akademik Kaygı Ölçeği: Bir Ölçek Geliştirme Çalışması

Yıl 2025, Sayı: 63, 477 - 499, 27.03.2025
https://doi.org/10.53444/deubefd.1531518

Öz

Bu çalışmanın amacı lisans ve lisansüstü düzeyde öğrenimlerini sürdüren öğrencilerin akademik kaygılarını değerlendirmeye imkan tanıyacak bir ölçme aracı geliştirmektedir. Araştırma kapsamında üç farklı çalışma grubu kullanılmıştır. Çalışma grubu 1 (N= 405) lisans grubunda Açımlayıcı Faktör Analizi (AFA) için, çalışma grubu 2 (N=546) ve çalışma grubu 3 (N= 165) ise lisans ve lisansüstü grubunda, lisans örnekleminde ortaya çıkan faktör yapısının Doğrulayıcı Faktör Analizini (DFA) gerçekleştirmek için oluşturulmuştur. Yapılan AFA ile toplam varyansın %61.85’inin açıklandığı belirlenmiş ve üç faktörden oluşan bir yapı tespit edilmiştir. Bu faktörler Bilişsel, Duygusal ve Somatik olarak isimlendirilmiştir. Üç faktörlü yapının kuramsal evrende doğrulanması için yapılan DFA’da elde edilen uyum değerlerinin iyi düzeyde olduğu belirlenmiştir. Ayrıca madde analizleri yapılmış ve Cronbach Alpha değerleri hesaplanmıştır. Son olarak birleşim ve ayrışım geçerliği incelenmiş ve ölçüte dayalı geçerlik kapsamında Beck Anksiyete Ölçeği, Durumluk-Sürekli Kaygı Envateri ve Algılanan Stres Ölçeği ile anlamlı ilişkilerin olduğu tespit edilmiştir. Sonuç olarak 12 madde ve üç alt boyuttan oluşan Akademik Kaygı Ölçeği’nin lisans ve lisansüstü öğrencilerinin akademik kaygılarının ölçülmesinde geçerli ve güvenilir bir ölçme aracı olduğu söylenebilir.

Kaynakça

  • Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196
  • Ashton, M. C., Lee, K., Perugini, M., Szarota, P., de Vries, R. E., Di Blas, L., Boies, K., & De Raad, B. (2004). A six-factor structure of personality-descriptive adjectives: Solutions from psycholexical studies in seven languages. Journal of Personality and Social Psychology, 86(2), 356–366. https://doi.org/10.1037/0022-3514.86.2.356
  • Banga, C. L. (2014). Academic anxiety among high school students in relation to gender and type of family. Shodh Sanchayan, 5, 1–7.
  • Banich, M. T. (2009). Executive function: The search for an integrated account. Current Directions in Psychological Science, 18(2), 89–94. https://doi.org/10.1111/j.1467-8721.2009.01615.x
  • Barrett, L. F. (2014). The conceptual act theory: A précis. Emotion Review, 6(4), 292–297. https://doi.org/10.1177/1754073914534479
  • Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139–161.
  • Beck, A. T., & Bredemeier, K. (2016). A unified model of depression: Integrating clinical, cognitive, biological, and evolutionary perspectives. Clinical Psychological Science, 4(4), 596–619. https://doi.org/10.1177/2167702616628523
  • Beck, A. T., Epstein, N., Brown, G., & Steer, R. (1988). Beck Anxiety Inventory [Database record]. APA PsycTests.
  • Beilock, S. L., & Maloney, E. A. (2015). Math anxiety: A factor in math achievement not to be ignored. Policy Insights from the Behavioral and Brain Sciences, 2(1), 4–12.
  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606.
  • Bihari, S. (2014). Academic anxiety among secondaryschool students with reference to gender, habitatand types of school. International Journal ofEducation and Psychological Research, 3, 30–32.
  • Bodas, J., Ollendick, T. H., & Sovani, A. V. (2008). Test anxiety in Indian children: A cross-cultural perspective. Anxiety, Stress, & Coping, 21(4), 387–404. https://doi.org/10.1080/10615800701849902
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Ed.), Testing structural equation models (pp. 136–162). Sage.
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications and programming (2. Ed.). Routledge.
  • Cassady, J. C. (2010). Anxiety in the schools: Causes, consequences, and solutions for academic anxieties. In Handbook of stress and academic anxiety: Psychological processes and interventions with students and teachers. Peter Lang. https://doi.org/10.1007/978-3-031-12737-3_2
  • Cassady, J. C., Pierson, E. E., & Starling, J. M. (2019). Predicting student depression with measures of general and academic anxieties. Frontiers in Education, 4(11), 422375. https://doi.org/10.3389/feduc.2019.00011
  • Clark, C. E., & Schwartz, B. N. (1989). Accounting anxiety: An experiment to determine the effects of an intervention on anxiety levels and achievement of introductory accounting students. Journal of Accounting Education, 7(2), 149–169. https://doi.org/https://doi.org/10.1016/0748-5751(89)90002-X
  • Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316–336. https://doi.org/10.1037//0021-843x.100.3.316
  • Cohen, J. (1960). A Coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37–46.
  • Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 385–396.
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Merrill Prentice Hall.
  • Crowley, S., & Fan, X. (1997). Structural equation modeling: Basic concepts and applications in personality assessment research. Journal of Personality Assessment, 68, 508–531.
  • Denzine, G. M., & Kowalski, G. J. (2002). Confirmatory factor analysis of the assessment for living and learning scale: A cross-validation investigation. Measurement and Evaluation in Counseling and Development, 35(1), 14–26.
  • Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008). A dual-networks architecture of top-down control. Trends in Cognitive Sciences, 12(3), 99–105. https://doi.org/10.1016/j.tics.2008.01.001
  • Eidlin-Levy, H., Avraham, E., Fares, L., & Rubinsten, O. (2023). Math anxiety affects career choices during development. International Journal of STEM Education, 10(1), 49.
  • Erkuş, A. (2022). Psikolojide ölçme ve ölçek geliştirme-1: Temel kavramlar ve İşlemler (6. baskı). Pegem Akademi.
  • Eskin, M., Harlak, H., Demirkıran, F., & Dereboy, Ç. (2013). Algılanan Stres Ölçeğinin Türkçeye uyarlanması: Güvenirlik ve geçerlik analizi. In New/Yeni Symposium Journal, 51(3), 132–140.
  • Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. In Emotion (pp. 336–353). American Psychological Association. https://doi.org/10.1037/1528-3542.7.2.336
  • Field, A. (2013). Discovering statistic using IBM SPSS (London, UK). Sage.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39–50.
  • Fydrich, T., Dowdall, D., & Chambless, D. L. (1992). Reliability and validity of the Beck Anxiety Inventory. Journal of Anxiety Disorders, 6(1), 55–61. https://doi.org/10.1016/0887-6185(92)90026-4
  • Goetz, T., Preckel, F., Zeidner, M., & Schleyer, E. (2008). Big fish in big ponds: a multilevel analysis of test anxiety and achievement in special gifted classes. Anxiety, Stress, and Coping, 21(2), 185–198. https://doi.org/10.1080/10615800701628827
  • Goldberg, L. R. (1992). The development of markers for the Big-Five Factor structure. Psychological Assessment, 4(1), 26–42. https://doi.org/10.1037/1040-3590.4.1.26
  • Gürbüz, S. (2019). Amos ile yapısal eşitlik modellemesi. Seçkin.
  • Hair, J. F., Anderson, R. E., Tahtam, R. L., & Black, W. C. (1998). Multivariate data analysis. Printice-Hall.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis, Pearson new international edition. Pearson.
  • Honcharova-Ilina, T. (2022). THE problem of foreign language anxiety as an affective filter in second language acquisition. АКТУАЛЬНI ПИТАННЯ ГУМАНIТАРНИХ НАУК, 3(48), 202253.
  • Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.
  • Horwitz, E. (2001). Language anxiety and achievement. Annual Review of Applied Linguistics, 21, 112–126. https://doi.org/10.1017/S0267190501000071
  • Horwitz, E. K., Horwitz, M. B., & Cope, J. (1986). Foreign language classroom anxiety. The Modern language journal, 70(2), 125–132.
  • Karasar, N. (2006). Bilimsel araştırma yöntemi. Nobel Yayın Dağıtım.
  • Kenny, D. A. (2020). Measuring model fit. https://davidakenny.net/cm/fit.htm.
  • Kline, R. B. (2016). Principles and practice of structural equation modeling. The Guilford Press.
  • Kurebayashi, L. F. S., Prado, J. M. do, & Silva, M. J. P. da. (2012). Correlations between stress and anxiety levels in nursing students. Journal of Nursing Education and Practice, 2(3), 128–134.
  • Lilienfeld, S. O., Turner, S. M., & Jacob, R. G. (1993). Anxiety sensitivity: An examination of theoretical and methodological issues. Advances in Behaviour Research and Therapy, 15(2), 147–183. https://doi.org/https://doi.org/10.1016/0146-6402(93)90019-X
  • Lowe, P., & Ang, R. (2012). Cross-cultural examination of test anxiety among us and Singapore students on the Test Anxiety Scale for elementary students (TAS-E). Educational Psychology, 32(1), 107–126. https://doi.org/10.1080/01443410.2011.625625
  • MacIntyre, P. D., & Gardner, R. C. (1994). The subtle effects of language anxiety on cognitive processing in the second language. Language Learning, 44(2), 283–305. https://doi.org/https://doi.org/10.1111/j.1467-1770.1994.tb01103.x
  • Maddox, N. (2014). Academic anxiety. http://www.ehow.com/about_6136494_academic-anxiety.html. http://www.ehow.com/about_6136494_academic-anxiety.html.
  • Mallow, J. V. (1986). Science anxiety: Fear of science and how to overcome it?. Clearwater. Clearwater, FL: H & H Publishing Co.
  • McDonald, A. S. (2001). The prevalence and effects of test anxiety in school children. Educational Psychology, 21(1), 89–101. https://doi.org/10.1080/01443410020019867
  • Meetei, R. (2012). A critical study of impact of academic anxiety on academic achievement of class sixth students. http://www.scribd.com/doc/23767970/A. http://www.scribd.com/doc/23767970/A
  • Mineka, S., Watson, D., & Clark, L. A. (1998). Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology, 49, 377–412. https://doi.org/10.1146/annurev.psych.49.1.377
  • Öner, N., & Le Compte, A. (1983). Durumluk-sürekli kaygı envanteri el kitabı. No: 333. Boğaziçi Üniversitesi Yayınları.
  • Otten, A. J. (1991). Coping with academic anxiety. The Rosen Publishing Group.
  • Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341. https://doi.org/10.1007/s10648-006-9029-9
  • Plaisance, D. V. (2009). A teacher’s quick guide to understanding mathematics anxiety. Lousiana Association of Teachers of Mathematics Journal, 6(1), 1–8.
  • Ree, M. J., French, D., MacLeod, C., & Locke, V. (2008). Distinguishing cognitive and somatic dimensions of state and trait anxiety: Development and validation of the State-Trait Inventory for cognitive and somatic anxiety (STICSA). Behavioural and Cognitive Psychotherapy, 36(3), 313–332. https://doi.org/10.1017/S1352465808004232
  • Schalling, D., Cronholm, B., & Asberg, M. (1975). Components of state and trait anxiety as related to personality and arousal. In L. Levi (Ed.), Emotions: Their Parameters and Measurement (pp. 603–617). Raven Press.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods Of Psychological Research Online, 8(2), 23–74.
  • Sharp, P. B., Miller, G. A., & Heller, W. (2015). Transdiagnostic dimensions of anxiety: Neural mechanisms, executive functions, and new directions. International Journal of Psychophysiology, 98(2, Part 2), 365–377. https://doi.org/https://doi.org/10.1016/j.ijpsycho.2015.07.001
  • Singh, A., & Sen Gupta, A. (2009). Academic Anxiety Scale for children (AASC) manual. Patna: National Psycholoical Corporation.
  • Snyder, H. R., Kaiser, R. H., Warren, S. L., & Heller, W. (2015). Obsessive-compulsive disorder is associated with broad impairments in executive function: A meta-analysis. Clinical Psychological Science : A Journal of the Association for Psychological Science, 3(2), 301–330. https://doi.org/10.1177/2167702614534210
  • Snyder, H. R., Miyake, A., & Hankin, B. L. (2015). Advancing understanding of executive function impairments and psychopathology: Bridging the gap between clinical and cognitive approaches. Frontiers in Psychology, 6, 328. https://doi.org/10.3389/fpsyg.2015.00328
  • Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
  • Spielberger, C. D., & Vagg, P. R. (1995). Test anxiety: Theory, assessment, and treatment. In C. D. Spielberger & P. R. Vagg (Ed.), Test anxiety: Theory, assessment, and treatment. Taylor & Francis.
  • Steptoe, A., & Kearsley, N. (1990). Cognitive and somatic anxiety. Behaviour Research and Therapy, 28(1), 75–81. https://doi.org/https://doi.org/10.1016/0005-7967(90)90057-P
  • Streiner, D. L., & Norman, G. L. (1995). Health measurement scales: A practical guide to their development and use. Oxford University Press.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6. baskı). Pearson Education Limited.
  • Tellegen, A. (1985). Structures of mood and personality and their relevance to assessing anxiety, with an emphasis on self-report. In A. H. Tuma & J. D. Maser (Ed.), Anxiety and the anxiety disorders (pp. 681–706). Lawrence Erlbaum Associates, Inc.
  • Udo, M. K., Ramsey, G. P., & Mallow, J. V. (2004). Science anxiety and gender in students taking general education science courses. Journal of Science Education and Technology, 13(4), 435–446. https://doi.org/10.1007/s10956-004-1465-z
  • Ulusoy, M., Şahin, N. H., & Erkmen, H. (1998). Turkish version of the Beck Anxiety Inventory: Psychometric properties. Journal of Cognitive Psychotherapy, 12, 163–172.
  • Waltz, C. F., Strickland, O., & Lenz, E. R. (2010). Measurement in nursing and health research. Springer Publishing Company.
  • Watson, D., Clark, L. A., Weber, K., Assenheimer, J. S., Strauss, M. E., & McCormick, R. A. (1995). Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples. Journal of Abnormal Psychology, 104(1), 15–25. https://doi.org/10.1037//0021-843x.104.1.15
  • Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care, 8(3), 1–13.
  • Yang, H.-J., & Farn, C. K. (2005). An investigation the factors affecting MIS student burnout in technical-vocational college. Computers in Human Behavior, 21(6), 917–932. https://doi.org/https://doi.org/10.1016/j.chb.2004.03.001
  • Zuriff, G. E. (1997). Accommodations for test anxiety under ADA. Journal of the American Academy of Psychiatry and the Law, 25(2), 197–206.
Toplam 78 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Okul Psikolojik Danışmanlığı, Rehberlik ve Psikolojik Danışmanlık (Diğer)
Bölüm Makaleler
Yazarlar

Kenan Bülbül 0000-0002-7527-6082

Hatice Odacı 0000-0002-2080-6269

Yayımlanma Tarihi 27 Mart 2025
Gönderilme Tarihi 11 Ağustos 2024
Kabul Tarihi 16 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 63

Kaynak Göster

APA Bülbül, K., & Odacı, H. (2025). Akademik Kaygı Ölçeği: Bir Ölçek Geliştirme Çalışması. Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi(63), 477-499. https://doi.org/10.53444/deubefd.1531518