Psychometric evaluation and experimental validation of the statistics anxiety rating scale

Journal of Personality Assessment

Volumn 94, Issue 1, 2012, Pages 82-91

  Papousek, Ilona ^a   Ruggeri, Kai ^b   MacHer, Daniel ^a   Paechter, Manuela ^a   Heene, Moritz ^a   Weiss, Elisabeth M ^a   Schulter, Günter ^a   Freudenthaler, H Harald ^a  

^a UNIVERSITY OF GRAZ   (Austria)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ANXIETY; ANXIETY DISORDER; ARTICLE; FEMALE; HUMAN; MALE; MIDDLE AGED; PERSONALITY TEST; PSYCHOLOGICAL RATING SCALE; PSYCHOMETRY; QUESTIONNAIRE; REPRODUCIBILITY; STATISTICS; VALIDATION STUDY;

ADOLESCENT; ADULT; ANXIETY; ANXIETY DISORDERS; FEMALE; HUMANS; MALE; MIDDLE AGED; PERSONALITY INVENTORY; PSYCHIATRIC STATUS RATING SCALES; PSYCHOMETRICS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS;

EID: 84857352380     PISSN: 00223891     EISSN: None     Source Type: Journal    
DOI: 10.1080/00223891.2011.627959     Document Type: Article

References (46)

1. Baloglu, M. (2002). Psychometric properties of the statistics anxiety rating scale. Psychological Reports, 90, 315-325.
2. Baloglu, M. (2003). Individual differences in statistics anxiety among college students. Personality and Individual Differences, 34, 855-865. (Pubitemid 36184922)
3. Baloglu, M. (2004). Statistics anxiety and mathematics anxiety: Some interesting differences. Educational Research Quarterly, 27, 38-48. (Pubitemid 38492361)
4. Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van Ijzendoorn, M. H. (2007). Threat-related attentional bias in anxious and nonanxious individuals: A meta-analytic study. Psychological Bulletin, 133, 1-24.
5. Barnes, L. L. B., Harp, D., & Jung, W. S. (2002). Reliability generalization of scores on the Spielberger State-Trait Anxiety Inventory. Educational and Psychological Measurement, 62, 603-618. (Pubitemid 36688778)
6. Binz, U., & Wendt, G. (1986). KUSTA-Kurz-Skala Stimmung /Aktivierung [Brief Scale Mood/Arousal]. In CIPS (Ed.), Internationale Skalen für Psychiatrie (3rd ed., pp. 131-135). Weinheim, Germany: Beltz.
7. Birenbaum, M., & Eylath, S. (1994). Who is afraid of statistics? Correlates of statistics anxiety among students of educational sciences. Educational Research, 36, 93-98.
8. Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research, 33, 261-304. (Pubitemid 39519124)
9. Calvo, M., Eysenck, M., & Castillo, M. (1997). Interpretation bias in test anxiety: The time course of predictive inferences. Cognition and Emotion, 11, 43-93.
10. Chiesi, F., Primi, C., & Ciancaleoni, M. (2008). Proprieta psicometriche della versione Italiana della Statistics Anxiety Rating Scale [Psychometric properties of the Italian version of the Statistics Anxiety Rating Scale]. Psicologia Dell' Educazione, 2, 363-376.
11. Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98-104.
12. Cruise, R., Cash, R., & Bolton, D. (1985). Development and validation of an instrument to measure statistics anxiety. In Proceedings of the American Statistical Association, Statistical Education Section (pp. 92-97). Alexandra, VA: American Statistical Association.
13. Cruise, R. J., & Wilkins, E. M. (1980). STARS: Statistical Anxiety Rating Scale. Unpublished manuscript, Andrews University, Berrien Springs, MI.
14. Fan, X., Thompson, B., & Wang, L. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling, 6, 56-83.
15. Gramer, M. (2003). Cognitive appraisals, emotional and cardiovascular responses of high and low dominant subjects in active performance situations. Personality and Individual Differences, 34, 1303-1318. (Pubitemid 36412481)
16. Hanna, D., Shevlin, M., & Dempster, M. (2008). Structure of the statistics anxiety rating scale: A confirmatory factor analysis using UK psychology students. Personality and Individual Differences, 45, 68-74.
17. Heene, M., Hilbert, S., Draxler, C., Ziegler, M., & Bühner, M. (2011). Masking model misfit by increasing unique variances: A cautionary note on the usefulness of cutoff values of fit indices. Psychological Methods, 16, 319-336.
18. Heene, M., Hilbert, S., Freudenthaler, H. H., & Bühner, M. (in press). Sensi-tivitiy of SEM fit indices with respect to violations of uncorrelated errors. Structural Equation Modeling, 16, 319-336.
19. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
20. Huysamen, G. K. (2006). Coefficient alpha: Unnecessarily ambiguous; unduly ubiquitous. Journal of Industrial Psychology, 32, 34-40.
21. Keeley, J., Zayac, R., & Correia, C. (2008). Curvilinear relationships between statistics anxiety and performance among undergraduate students: Evidence for optimal anxiety. Statistics Education Research Journal, 7, 4-15.
22. Laux, L., Glanzmann, P., Schaffner, P., & Spielberger, C.D. (1981). Das State-Trait-Angstinventar [State-Trait-Anxiety-Inventory]. Weinheim, Germany: Beltz.
23. Lawrence, D., Considine, J., Mitrou, F., & Zubrick, S. R. (2010). Anxiety disorders and cigarette smoking: Results from the Australian Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry, 44, 520-527.
24. Linden, W., Earle, L., Gerin, W., & Christenfeld, N. (1997). Physiological stress reactivity and recovery: Conceptual siblings separated at birth? Journal of Psychosomatic Research, 42, 117-135. (Pubitemid 27129491)
25. MacCallum, R. C., & Roznowski, M. (1992). Model modifications in covari-ance structure analysis: Problem of capitalization on chance. Psychological Bulletin, 111, 490-504.
26. Macher, D., Paechter, M., Papousek, I., & Ruggeri, K. (in press). Statistics anxiety, trait anxiety, learning behavior, and performance. European Journal of Psychology of Education.
27. Mji, A., & Onwuegbuzie, A. J. (2004). Evidence of score reliability and validity of the Statistical Anxiety Rating Scale among technikon students in South Africa. Measurement and Evaluation in Counseling and Development, 36, 238-251. (Pubitemid 38739723)
28. Muthén, L. K., & Muthén, B. O. (2009). Mplus (version 5.21) [Computer software]. Los Angeles, CA: Muthén & Muthén.
29. Onwuegbuzie, A. J. (1998). The dimensions of statistics anxiety: A comparison of prevalence rates among mid-southern university students. Louisiana Educational Research Journal, 23, 23-40.
30. Onwuegbuzie, A. J. (2004). Academic procrastination and statistics anxiety. Assessment and Evaluation in Higher Education, 29, 3-19.
31. Onwuegbuzie, A. J., & Seaman, M. (1985). The effect of time and anxiety on statistics achievement. Journal of Experimental Psychology, 63, 115-124.
32. Pan, W., & Tang, M. (2004). Examining the effectiveness of innovative instructional methods on reducing statistics anxiety for graduate students in the social sciences. Journal of Instructional Psychology, 31, 149-159. (Pubitemid 39038943)
33. Papousek, I., Nauschnegg, K., Paechter, M., Lackner, H. K., Goswami, N., & Schulter, G. (2010). Trait and state positive affect and cardiovascular recovery from experimental academic stress. Biological Psychology, 83, 108-115.
34. Rodarte-Luna, B., & Sherry, A. (2008). Sex differences in the relation between statistics anxiety and learning strategies. Contemporary Educational Psychology, 33, 327-344.
35. Ruggeri, K., Diaz, C., Kelley, K., Papousek, I., Dempster, M., & Hanna, D. (2008). International issues in education. Psychology Teaching Review, 15, 94-104.
36. Saban, A., & Flisher, A. J. (2010). The association between psychopathology and substance use in young people: A review of the literature. Journal of Psychoactive Drugs, 42, 37-47.
37. Saris, W. E., Satorra, A., & van der Veld, W. (2009). Testing structural equation models or detection of misspecifications? Structural Equation Modeling, 16, 561-582.
38. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research, 8, 23-74. (Pubitemid 39064999)
39. Somers, J. M., Goldner, E. M., Waraich, P., & Hsu, L. (2006). Prevalence and incidence studies of anxiety disorders: A systematic review of the literature. Canadian Journal of Psychiatry, 51, 100-103.
40. Spielberger, C. D. (1983). Manual for the State-Trait Anxiety Inventory (Form Y). Palo Alto, CA: Mind Garden.
41. Tobias, S. (1978). Overcoming math anxiety. New York, NY: Norton.
42. Walsh, J. J., & Ugumba-Agwunobi, G. (2002). Individual differences in statistics anxiety: The roles of perfectionism, procrastination and trait anxiety. Personality and Individual Differences, 33, 239-251.
43. Watson, F. S., Lang, T. R., Kromrey, J. D., Ferron, J. M., Hess, M. R., & Hogarty, K. Y. (2003, April). An assessment blueprint for EncStat: A statistics anxiety intervention program. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.
44. Zanakis, S. H., & Valenzi, E. R. (1997). Student anxiety and attitudes in business statistics. Journal of Education for Business, 73, 10-16. (Pubitemid 128141619)
45. Zeidner, M. (1991). Statistics and mathematics anxiety in social science students: Some interesting parallels. British Journal of Educational Psychology, 61, 319-328.
46. Zeidner, M. (1998). Test anxiety: The state of the art. New York, NY: Plenum.