Multilevel structural equation (MSEM) models allow researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This paper…

We conducted a content analysis of counseling scholarship related to Whiteness for articles published in national peer-reviewed counseling journals within the 35-year time frame (1984-2019) following the publication of Janet Helms's seminal work on White racial identity. We identified articles within eight counseling journals for a final sample of…

Researchers often question the validity of multi-informant assessments among adolescents with child welfare involvement. Yet, within other clinical populations, prior research finds that multi-informant reports have a discernable structure characterized by discrete patterns of agreement and disagreement. This structure "tracks"…

This article summarizes results from 12 empirical evaluations of observational methods in education contexts. We look at the performance of three common covariate-types in observational studies where the outcome is a standardized reading or math test. They are: pretest measures, local geographic matching, and rich covariate sets with a strong…

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

It is more common for educational and psychological data to be nonnormal than to be approximately normal. This tendency may lead to bias and error in point estimates of the Pearson correlation coefficient. In a series of Monte Carlo simulations, the Pearson correlation was examined under conditions of normal and nonnormal data, and it was compared…

Every since the enactment of the No Child Left Behind Act (2001) in the United States, achievement gains resulting from afterschool participation have been of particular interest. However, findings have been inconsistent. The challenge for researchers is partly due to the wide variation of program goals, difficulty in obtaining valid control…

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This eighth installment of "Explorations in Statistics" explores permutation methods, empiric procedures we can use to assess an experimental result--to test a null hypothesis--when we are reluctant to trust statistical…

Some researchers have argued for the use of or have attempted to make use of randomization tests in single-subject research. To address this tide of interest, the authors of this article describe randomization tests, discuss the theoretical rationale for applying them to single-subject research, and provide an overview of the methodological…

The current study addressed some of the methodological shortcomings of previous studies on internet addiction. The main purpose of the study was to determine if two different internet addiction assessments would identify the same individuals as addicted to the internet. A total of 224 undergraduate internet users were surveyed using a stratified…

Aims and scope: This article reviews the available quantitative research on psychosocial adjustment and mental health among children (age less than 18 years) associated with armed forces and armed groups (CAAFAG)--commonly referred to as child soldiers. Methods: PRISMA standards for systematic reviews were used to search PubMed, PsycInfo, JSTOR,…

The 3PL model is a flexible and widely used tool in assessment. However, it suffers from limitations due to its need for large sample sizes. This study introduces and evaluates the efficacy of a new sample size augmentation technique called Duplicate, Erase, and Replace (DupER) Augmentation through a simulation study. Data are augmented using…

Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…

Rates of food insecurity in households with children have significantly increased over the past decade. The majority of children, including those at risk for food insecurity, participate in some form of non-parental child care during the preschool years. To evaluate the relationship between the two phenomenon, this study investigates the effects…

Instrumental variable estimators hold the promise of enabling researchers to estimate the effects of educational treatments that are not (or cannot be) randomly assigned but that may be affected by randomly assigned interventions. Examples of the use of instrumental variables in such cases are increasingly common in educational and social science…