This paper introduces latent growth modeling (LGM) as a statistical method for analyzing change over time in latent, or unobserved, variables, with particular emphasis of the application of this method in higher education research. While increasingly popular in other areas of education research and despite a wealth of publicly-available datasets…

In today's modern business world, most organizations use information as a critical business asset to gain competitive advantage and create market value. Increasingly, an organization's ability to protect information assets plays a critical role in its ability to meet regulatory compliance requirements, increase customer trust, preserve brand…

This study explored an understudied promotive factor, a belief that alcohol use is inconsistent with personal autonomy, which may reduce adolescent intention to drink and subsequent alcohol use. Autonomy was examined as an attitudinal construct within the Theory of Reasoned Action. Longitudinal data from 2,493 seventh grade students nested in 40…

We examined a longstanding assumption in vocational psychology that people-things and data-ideas are bipolar dimensions. Two minimal criteria for bipolarity were proposed and examined across 3 studies: (a) The correlation between opposite interest types should be negative; (b) after correcting for systematic responding, the correlation should be…

The present study investigated cognitive performance measures beyond IQ. In particular, we investigated the psychometric properties of dynamic decision making variables and implicit learning variables and their relation with general intelligence and professional success. N = 173 employees from different companies and occupational groups completed…

This article proposes a comprehensive approach based on structural equation modeling for assessing the amount of trait-level change derived from faking-motivating situations. The model is intended for a mixed 2-wave 2-group design, and assesses change at both the group and the individual level. Theoretically the model adopts an integrative…

The authors surveyed 1,998 Missourians to evaluate (a) awareness and (b) understanding of messages about the impact of tobacco use in Missouri, (c) belief in the accuracy of the messages, and (d) intention to vote for a tobacco tax increase on the basis of the messages. Using structural equation modeling, the relationships among these four…

The purpose of this simulation study was to assess the performance of latent variable models that take into account the complex sampling mechanism that often underlies data used in educational, psychological, and other social science research. Analyses were conducted using the multiple indicator multiple cause (MIMIC) model, which is a flexible…

Structural equation models are increasingly used as a modeling tool for multivariate time series data in the social and behavioral sciences. Standard error estimators of SEM models, originally developed for independent data, require modifications to accommodate the fact that time series data are inherently dependent. In this article, we extend a…

This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable…

Purpose: To advance a framework of indicators that promotes implementation of math standards under the Every Student Succeeds Act (ESSA), we tested a conceptual model of the resources and processes within schools that influence the opportunity to learn mathematics (OTL) in the classroom using a recent administration of the 2011 Trends in…

Although studies have shown that supplemental instruction (SI) programs can have positive effects in introductory accounting courses, these programs experience low participation rates. Thus, our study is the first to examine the factors leading to student participation in SI programs. We do this through a survey instrument based on the Theory of…

The purposes of this study were to conceptualize moral identity as moral ideal self, to develop a measure of this construct, to test for age and gender differences, to examine links between moral ideal self and adolescent outcomes, and to assess purpose and social responsibility as mediators of the relations between moral ideal self and outcomes.…

Previous studies have shown that several key variables influence student achievement in geometry, but no research has been conducted to determine how these variables interact. A model of achievement in geometry was tested on a sample of 102 high school students. Structural equation modeling was used to test hypothesized relationships among…

Problem Statement: The damage caused by recent environmental problems has led to increased environmental concerns and the development of environment-friendly consumption behaviours in almost every society. Environment-friendly consumption involves the consideration of environmental benefits by minimizing any damage done to the environment at all…