Cognitive diagnosis models (CDMs) estimate student ability profiles using latent attributes. Model fit to the data needs to be ascertained in order to determine whether inferences from CDMs are valid. This study investigated the usefulness of some popular model fit statistics to detect CDM fit including relative fit indices (AIC, BIC, and CAIC),…

P values have been critiqued on several grounds but remain entrenched as the dominant inferential method in the empirical sciences. In this article, we elaborate on the fact that in many statistical models, the one-sided "P" value has a direct Bayesian interpretation as the approximate posterior mass for values lower than zero. The…

Higher education in America is characterized by widespread access to college but low rates of completion, especially among undergraduates at less selective institutions. We analyze longitudinal transcript data to examine processes leading to graduation, using Hidden Markov modeling. We identify several latent states that are associated with…

The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…

Purpose: Through a survey of firm's experiences with strategic alliances and a structural equation modeling approach, the aim of this study is to stimulate further interest in modeling and empirical research in the area of N-loop learning. Although the concepts of single-loop and double-loop learning, in particular, are well established in the…

This study is a descriptive research study executed using a scanning model with the purpose of examining geography teachers' tendencies towards reflective thinking according to different variables. The study group consisted of 218 geography teachers serving in schools under the Ministry of National Education in the 2016/2017 education period. For…

This note is concerned with examining the relationship between within-group and between-group variances in two-level nested designs. A latent variable modeling approach is outlined that permits point and interval estimation of their ratio and allows their comparison in a multilevel study. The procedure can also be used to test various hypotheses…

Cloud computing has recently emerged as a potential alternative to the traditional on-premise computing that businesses can leverage to achieve operational efficiencies. Consequently, technology managers are often tasked with the responsibilities to analyze the barriers and variables critical to organizational cloud adoption decisions. This…

The aim of this study is to validate MOOC-based curriculum in higher education in Iran. The research method is mixed and of exploratory type. Method of grounded theory is used in the qualitative section and the Validation Test Pattern among the faculties and PhD students of Tehran's Universities is considered in the quantitative part. The…

The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…

There is a theoretical and empirical tradition demonstrating the influence of the place of birth and self-identification in the shaping of language attitudes. But very few works analyse their joint effects. The main aim of this study is to analyse both the disaggregated and joint impact of these variables on the shaping of attitudes towards…

Objective: Children's health beliefs are significantly related to their adherence; however, pediatric literature has rarely tested health-related theories as a whole. The goal of the present study was to evaluate the use of the health belief model (HBM) in understanding children's adherence, both globally and to individual treatment components.…

The purpose of this quantitative study was to determine if the outcome of two different types of referendums, operating fund and construction, could be more accurately predicted by using certain predictor variables. Furthermore, if the outcome could be more accurately predicted, which predictor variables were statistically significant in that…

Purpose: We aimed to outline the latent variables approach for measuring nonverbal executive function (EF) skills in school-age children, and to examine the relationship between nonverbal EF skills and language performance in this age group. Method: Seventy-one typically developing children, ages 8 through 11, participated in the study. Three EF…

Cognitive diagnosis models are diagnostic models used to classify respondents into homogenous groups based on multiple categorical latent variables representing the measured cognitive attributes. This study aims to present longitudinal models for cognitive diagnosis modeling, which can be applied to repeated measurements in order to monitor…