Test Anxiety adapts the previous edition to the influence of structural equations modeling that has taken hold of test anxiety research, while maintaining the applied research, assessment, and treatment interventions. This book integrates statistical methodology and research design with actual research situations that occur within the test anxiety area. It brings together more than 100 studies that have been published on test anxiety since 1993. Marty Sapp introduces the logics of structural equations and shows how the EQS structural equations program can easily perform structural equations modeling. He presents two statistical packages, SPSSX and SAS, for use in conducting test anxiety research and developing actual empirically based treatment interventions. This allows an easy analysis using common factors such as Sarason's four-factor model or Spielberger's two-factor model. Test Anxiety provides a practical, cutting edge resource for conducting and assessing test anxiety research.
Marty Sapp is a Professor in the Department of Educational Psychology at the University of Wisconsin-Milwaukee.
chapter 1 Preface chapter 2 Applied Research: Variables Employed in Test Anxiety Research chapter 3 Internal Validity in Test Anxiety Research chapter 4 Difficulties that Occur with Test Anxiety Research chapter 5 Common Research Designs Used in Test Anxiety Research chapter 6 Measures of Central Tendency and Measures of Variability chapter 7 Common Univariate Statistics: SPSSX and SAS Control Lines for Differences Among Means chapter 8 Multivariate Research Statistical Methodology: Using SPSS and SAS Computer Software chapter 9 Structural Equation Modeling chapter 10 Assessment chapter 11 Treatment Interventions chapter 12 Appendix chapter 13 Author Index chapter 14 Subject Index