This note extends the results in the 2016 article by Raykov, Marcoulides, and Li to the case of correlated errors in a set of observed measures subjected to principal component analysis. It is shown that when at least two measures are fallible, the probability is zero for any principal component--and in particular for the first principal…

This study investigates the performance of robust maximum likelihood (ML) estimators when fitting and evaluating small sample latent growth models with non-normal missing data. Results showed that the robust ML methods could be used to account for non-normality even when the sample size is very small (e.g., N < 100). Among the robust ML…

A performance gap between the genders has been observed on the Force Concept Inventory (FCI) almost since its introduction. Many studies have sought to characterize this gender gap, however, few have tested the consistency of the factor structure across the genders. This study fills in this gap by offering the first piece of evidence that the…

This study tested factorial structure, reliability as well as gender, age, and cultural measurement invariance of the Brief Inventory of Thriving (BIT). Data were collected from 981 Italian, Portuguese, and Chinese emerging adults. Results showed that BIT scores were reliable, mono-dimensional, and suitable to assess thriving across different…

Lord's paradox arises from the conflicting inferences obtained from two alternative approaches that are typically used in evaluating the treatment effect using a pre-post test design. The two main approaches for analyzing such data are: (1) to regress the change from pretest to posttest on the treatment indicator (change score approach; CS); (2)…

During drug development, a biomarker is sometimes identified as separating a patient population into those with more and those with less benefit from evaluated treatments. Consequently, later studies might be targeted, while earlier ones are performed in mixed patient populations. This poses a challenge in evidence synthesis, especially if only…

It is common to include multiple dependent variables (DVs) in single-case experimental design (SCED) meta-analyses. However, statistical issues associated with multiple DVs in the multilevel modeling approach (i.e., possible dependency of error, heterogeneous treatment effects, and heterogeneous error structures) have not been fully investigated.…

In this dissertation, I complete three studies to evaluate potential reactions to target role congruity, especially gender role congruity, through an examination of Student Evaluations of Instructors (SEIs). Target role congruity refers to assessments an observer makes of whether or not the various roles a target person fills "fit" with…

Online self-learning became widespread after the onset of the COVID-19 pandemic, and during this period, learners' self-leadership became an important measure of their competency. This study aims to verify the validity and reliability of the tool by translating the Abbreviated Self-Leadership Questionnaire (ASLQ) into Korean. Through web-based…

Background: Published best-practice guidelines and standardized protocols for voice assessment recommend multidisciplinary evaluation utilizing a comprehensive range of clinical measures. Previous studies report variations in assessment practices when compared with these guidelines. Aims: To provide an up-to-date evaluation of current global…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

This study examined the significance of the mode of delivery--aural versus written--in second language (L2) vocabulary knowledge and L2 comprehension skills. One of the unique aspects of listening comprehension that sets it apart from reading comprehension is the mode of delivery--language input is delivered not visually but aurally. Somewhat…

Assessing publication bias is a critical procedure in meta-analyses for rating the synthesized overall evidence. Because statistical tests for publication bias are usually not powerful and only give "P" values that inform either the presence or absence of the bias, examining the asymmetry of funnel plots has been popular to investigate…

Publication bias and other forms of outcome reporting bias are critical threats to the validity of findings from research syntheses. A variety of methods have been proposed for detecting selective outcome reporting in a collection of effect size estimates, including several methods based on assessment of asymmetry of funnel plots, such as the…

This article introduces the Quality of Item Pool (QIP) Index, a novel approach to quantifying the adequacy of an item pool of a computerized adaptive test for a given set of test specifications and examinee population. This index ranges from 0 to 1, with values close to 1 indicating the item pool presents optimum items to examinees throughout the…