Measurement invariance is crucial for making valid comparisons across different groups (Kline, 2016; Vandenberg, 2002). To address the challenges associated with invariance testing such as large sample size requirements, the complexity of the model, etc., applied researchers have incorporated parcels. Parcels have been shown to alleviate skewness,…

Survival analysis is an advanced statistical method to investigate the occurrence and the timing of an important event such as school access, dropout, and graduation in a longitudinal framework. The aim of our study is to provide practical guidelines for empirical researchers in choosing an appropriate survival analysis model. For this goal, this…

This book is relevant for language testers, listening researchers, and oral proficiency teachers, in that it explores four broad themes related to the assessment of L2 listening ability: the use of authentic, real-world spoken texts; the effects of different speech varieties of listening inputs; the use of audio-visual texts; and assessing…

Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…

This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…

The sophisticated analytical techniques available to institutional researchers give them an array of procedures to estimate a causal effect using observational data. But as many quantitative researchers have discovered, access to a wider selection of statistical tools does not necessarily ensure construction of a better analytical model. Moreover,…

The nation is showing an unprecedented focus on increasing the rigor in education and preparing students for college. The college readiness trend is driving changes in the ways in which the nation uses student test data. Educational data are no longer limited to static data snapshots showing the status of a student performance at one point in…

Characterising the relationship between participants' scores on two different questionnaires is a common problem in educational research. The complement of the statistic known as Wilks' lambda measures the amount of variance shared between the scores obtained by the same group of participants on two sets of variables. (1 - lambda) is symmetric, in…

The performance of five simple multiple imputation methods for dealing with missing data were compared. In addition, random imputation and multivariate normal imputation were used as lower and upper benchmark, respectively. Test data were simulated and item scores were deleted such that they were either missing completely at random, missing at…

This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…

This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…

Two methods of 'equating' tests using item response theory (IRT) are compared, one using true scores, the other using the estimated distribution of observed scores. On the data studied, they yield almost indistinguishable results. This is a reassuring result for users of IRT equating methods. (Author)

Compares scores of 3,443 third graders in 1956 and 4,378 third graders in 1977 on the California Short Form Test of Mental Maturity. Examines differences in factoral structure and differences in ability level between groups for factors (64 items related to 7 components) apparently measuring consistent abilities. (SB)

A table was produced to facilitate comparisons among standard scores on the Woodcock Reading Mastery Tests-Revised, in order to assist diagnosticians in determining intraindividual strengths and weaknesses, and thus contribute to instructional planning. (DB)

Presents results of a study comparing Georgia college students' scores on a test for economic understanding with scores of high school students. Compares scores by university and also by demographic information. Concludes that there is significant advantage in taking economics at the senior grade level in high school. (DK)