Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study…

The present study aims to investigate the relationship between university students' school climate and their motivation levels. In this study, whether the school climate and motivation levels differ according to gender and year of study also been examined. The "School Climate Scale for University Students" and "Adult Motivation…

Understanding factors within college learning environments that can ameliorate maladaptive academic behaviours such as procrastination could contribute to enhancing college students' success and persistence. Thus, the aims of the current study were to investigate: (a) the degree to which facets of the college classroom motivational environment…

Self-efficacy constructs could predict students' practices and affect in learning the sciences. Researchers have pointed at such constructs as predictors of students' mathematics achievement and performance. Self-efficacy was also studied as predictor of emotions in learning mathematics, though little research has done so regarding self-efficacy…

Objective: This study examined relationships between eating disorder risk (EDR), lifestyle variables (e.g., exposure to healthy eating media), and differences among male and female college students. Participants: College students (N = 323) completed survey questionnaires (Fall, 2016). Fifty-three participants retook the survey at a later time.…

Purpose: This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a…

Whilst student engagement with learning has been consistently linked to positive academic outcomes, there has been an increasing focus among higher education institutions on the importance of producing employable graduates. This study investigated whether individual differences in socially aversive personality traits predict different types of…

Although there is recognition that there may be differential outcomes for groups of students within schools, examination of outcomes for subgroups presents challenges to researchers and policymakers. It complicates analytic procedures, particularly when the number of students per school in the subgroup is small. We explored five alternatives for…

Observable data in empirical social and behavioral science studies are often categorical (i.e., binary, ordinal, or nominal). When categorical data are outcomes, they fail to maintain the scale and distributional properties of linear regression and factor analysis. Attempting to estimate model parameters for categorical outcome data with the…

Disengaged item responses pose a threat to the validity of the results provided by large-scale assessments. Several procedures for identifying disengaged responses on the basis of observed response times have been suggested, and item response theory (IRT) models for response engagement have been proposed. We outline that response time-based…

Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…

This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…

This study reviews the international literature of empirical educational research to examine the application of logistic regression. The aim is to examine common practices of the report and interpretation of logistic regression results, and to discuss the implications for educational research. A review of 130 studies suggests that: (a) the…

Despite a marked increase in study abroad participation in recent decades, first-generation students and Students of Color remain vastly underrepresented. The current study sought to expand the extant literature on first-generation and Latino/a students' study abroad participation by applying an intersectional approach to identifying predictors of…