Existing measures of test anxiety used with the college student population are old with old norms and old items, and they do not capture the multiple dimensions of the test anxiety construct or assess facilitating anxiety. In the present study, the validity of the scores of a new, multidimensional measure of test anxiety with a facilitating…

Multilevel data are a reality for many disciplines. Currently, although multiple options exist for the treatment of multilevel data, most disciplines strictly adhere to one method for multilevel data regardless of the specific research design circumstances. The purpose of this Monte Carlo simulation study is to compare several methods for the…

In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…

Cronbach's coefficient alpha is a widely used reliability measure in social, behavioral, and education sciences. It is reported in nearly every study that involves measuring a construct through multiple items. With non-tau-equivalent items, McDonald's omega has been used as a popular alternative to alpha in the literature. Traditional estimation…

The paper examines "Campbell's Law": "The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor." The examination of measurability leads to explaining the…

Cronbach's coefficient alpha is a widely used reliability measure in social, behavioral, and education sciences. It is reported in nearly every study that involves measuring a construct through multiple items. With non-tau-equivalent items, McDonald's omega has been used as a popular alternative to alpha in the literature. Traditional estimation…

Brief experimental analysis (BEA) is frequently used to drive intervention selection decisions for students in need of intensive reading fluency intervention. Researchers have demonstrated that most BEA results for students with reading fluency difficulties are undifferentiated when considering the standard error of measurement (SEM) of…

As a method to shorten the test time of the Force Concept Inventory (FCI), we suggest the use of computerized adaptive testing (CAT). CAT is the process of administering a test on a computer, with items (i.e., questions) selected based upon the responses of the examinee to prior items. In so doing, the test length can be significantly shortened.…

This study aimed to validate the factor structure of professional competencies in engineering and test the measurement invariance of these competencies across gender. Through a cross-sectional survey, 552 senior undergraduate students (287 males) responded to a 24-item professional competencies scale. The professional competencies included five…

This meta-analytic path analysis presents evidence that first-year academic performance (FYAP), measured by first-year grade point average (FYGPA) plays the major role in determining second-year student retention and that socioeconomic status (SES), measured by parental income, plays a negligible role. Based on large sample data used in a previous…

The Comprehensive Test of Phonological Processing, 2nd Edition (CTOPP-2; Wagner et al., 2013) is commonly used in k-12 public schools to assess basic cognitive processing skills foundational for reading achievement. Psychometric support for its use with dual language learners (DLLs), a group representing over 10% of the school-aged population in…

Background: Individual patient data (IPD) meta-analysis allows for the exploration of heterogeneity and can identify subgroups that most benefit from an intervention (or exposure), much more successfully than meta-analysis of aggregate data. One-stage or two-stage IPD meta-analysis is possible, with the former using mixed-effects regression models…

Understanding the factors that mediate the effect of educational or behavioral intervention is critical to advancing both research and practice. When properly implemented, mediators add depth to the results of intervention research, indicating why a program works, highlighting ways to enhance its effectiveness, and revealing the elements that are…

Scores from noncognitive measures are increasingly valued for their utility in helping to inform postsecondary admissions decisions. However, their use has presented challenges because of faking, response biases, or subjectivity, which standardized third-party evaluations (TPEs) can help minimize. Analysts and researchers using TPEs, however, need…

The use of multilevel modeling (MLM) to analyze nested data has grown in popularity over the years in the study of school psychology. However, with the increase in use, several statistical misconceptions about the technique have also proliferated. We discuss some commonly cited myths and golden rules related to the use of MLM, explain their…