We consider Bayesian estimation of a hierarchical linear model (HLM) from partially observed data, assumed to be missing at random, and small sample sizes. A vector of continuous covariates C includes cluster-level partially observed covariates with interaction effects. Due to small sample sizes from 37 patient-physician encounters repeatedly…

Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and…

This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…

The present study aims to compare the robustness under various conditions of latent class analysis mixture modeling approaches that deal with auxiliary distal outcomes. Monte Carlo simulations were employed to test the performance of four approaches recommended by previous simulation studies: maximum likelihood (ML) assuming homoskedasticity…

Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for…

Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…

A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is satisfied, such that many regression coefficients are near zero after accounting for all the model…

The aim of this paper is to provide an introduction of new imputation algorithms for estimating missing values from official statistics in larger data sets of data pre-processing, or outliers. The goal is to propose a new algorithm called IRMI (iterative robust model-based imputation). This algorithm is able to deal with all challenges like…

Purpose: There is demand in applied sport settings to measure recovery briefly and accurately. Research indicates mood disturbance as the strongest psychological predictor of mental and physical recovery. The Brief Assessment of Mood (BAM) is a shortened version of the Profile of Mood States that can be completed in less than 30 s. The purpose of…

The goal of this study was to investigate the effect of educating philosophy curriculum in the children on the spiritual development of female students with 12-14 years old in the city of Isfahan. The present study is a semi-experiment research. The research design is pretest-posttest research with experiment and control group. In order to select…

In this study, the authors propose and test a model of professional identity development among early career student affairs professionals. Using survey data from 173 new professionals (0-5 years of experience), factor analysis revealed 3 dimensions of professional identity: commitment, values congruence, and intellectual investment. Multivariate…

This paper draws upon a broader piece of research aimed at investigating assessment in higher education. It focuses upon the perceptions of undergraduates about issues of effectiveness, fairness and feedback, particularly in regard to the so-called learner-centred methods. In total, 378 undergraduate students participated in the study at the…

Throughout the college retention literature, there is a recurring theme that students leave college for a variety of reasons making retention a difficult phenomenon to model. In the current study, cluster analysis techniques were employed to investigate whether multiple empirically based profiles of nonreturning students existed to more fully…

Massively multiple online role-playing games (MMORPGs) are very popular among students. Educational MMORPGs, however, are very rare, as are studies on gamers' behavioral patterns during such games. The current study is an empirical observation and analysis of the behavioral patterns of 100 gamers participating in an educational MMORPG called…

Objectives: This study explored God locus of control beliefs (ie, God's control over behavior) regarding their influence on alcohol use and sexual behavior as an alternative religiosity measure to religious behaviors, which does not capture perceived influence of religiosity. Additionally, demographic differences in religious beliefs were…