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Kjorte Harra; David Kaplan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The present work focuses on the performance of two types of shrinkage priors--the horseshoe prior and the recently developed regularized horseshoe prior--in the context of inducing sparsity in path analysis and growth curve models. Prior research has shown that these horseshoe priors induce sparsity by at least as much as the "gold…
Descriptors: Structural Equation Models, Bayesian Statistics, Regression (Statistics), Statistical Inference
Ke-Hai Yuan; Yongfei Fang – Grantee Submission, 2023
Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…
Descriptors: Structural Equation Models, Regression (Statistics), Weighted Scores, Comparative Analysis
Miyazaki, Yasuo; Kamata, Akihito; Uekawa, Kazuaki; Sun, Yizhi – Educational and Psychological Measurement, 2022
This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested…
Descriptors: Error of Measurement, Pretesting, Pretests Posttests, Statistical Bias
Bogaert, Jasper; Loh, Wen Wei; Rosseel, Yves – Educational and Psychological Measurement, 2023
Factor score regression (FSR) is widely used as a convenient alternative to traditional structural equation modeling (SEM) for assessing structural relations between latent variables. But when latent variables are simply replaced by factor scores, biases in the structural parameter estimates often have to be corrected, due to the measurement error…
Descriptors: Factor Analysis, Regression (Statistics), Structural Equation Models, Error of Measurement
Jorge-Botana, Guillermo; Olmos, Ricardo; Sanjosé, Vicente – Discourse Processes: A multidisciplinary journal, 2017
Semantic word representation changes over different ages of childhood until it reaches its adult form. One method to formally model this change is the word maturity paradigm. This method uses a text sample for each age, including adult age, and transforms the samples into a semantic space by means of Latent Semantic Analysis. The representation of…
Descriptors: Prediction, Word Frequency, Semantics, Spanish
Rosario, Carrie; Modeste, Naomi; Dos Santos, Hildemar; Handysides, Daniel; Gamboa-Maldonado, Thelma; Boyd, Kendal – Journal of American College Health, 2017
Objective: Health literacy is a determinant of health, but disparities in health literacy persist. This study examined the influence of ecological factors on college students' health literacy. Participants: During January 2016 a nonrandom sample of black undergraduate students (n = 298) aged 18-24 were recruited from enrollment lists at two urban…
Descriptors: Health, Literacy, African American Students, Smoking
Zhang, Haomin – Foreign Language Annals, 2016
The present study examined the role of morphological awareness in second language (L2) Chinese vocabulary acquisition through an investigation of linguistic universality and specificity underlying morphological awareness. Morphological awareness in this study was conceptualized as a universal and sharable cognitive resource as well as a…
Descriptors: Second Language Learning, Morphology (Languages), Metalinguistics, Morphemes
Edelsbrunner, Peter; Schneider, Michael – Frontline Learning Research, 2013
Musso et al. (2013) predict students' academic achievement with high accuracy one year in advance from cognitive and demographic variables, using artificial neural networks (ANNs). They conclude that ANNs have high potential for theoretical and practical improvements in learning sciences. ANNs are powerful statistical modelling tools but they can…
Descriptors: Prediction, Statistical Analysis, Structural Equation Models, Academic Achievement
Fisher, Yael; Kostelitz, Yifat – Leadership and Policy in Schools, 2015
This research examines the influence of teachers' views regarding parental involvement on their perception of self-efficacy. Data were collected from a sample of 319 Israeli elementary schools teachers. A path analysis procedure was employed to test the mediating effect of personal background and organizational variables and perceived parental…
Descriptors: Foreign Countries, Teacher Attitudes, Self Efficacy, Parent Participation
Paul, Ravi C.; Swart, William; Zhang, Aixiu Monica; MacLeod, Kenneth R. – Distance Education, 2015
Transactional distance has been defined as barriers to students' engagement with learning in the online environment. This research updates Zhang's (2003) scale of transactional distance, which quantified the extent of the barriers, in light of the massive changes in today's web-based learning environment. The resulting revised scale of…
Descriptors: Distance Education, Structural Equation Models, Online Courses, Barriers
Waaler, Rune; Halvari, Halgeir; Skjesol, Knut; Bagoien, Tor Egil – Scandinavian Journal of Educational Research, 2013
The authors tested a self-determination theory (Deci & Ryan, 2000) process model of subjective wellbeing among students at Norwegian Folk High Schools. In this model the authors hypothesized that students' intrinsic goal progress expectancy in the chosen study activity and perceived autonomy support from teachers would be positively associated…
Descriptors: Personal Autonomy, Self Determination, Well Being, Goal Orientation
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Song, Ji Hoon – Performance Improvement Quarterly, 2011
The purpose of this research was to examine the mediating roles of job autonomy and the quality of the leader-member relationship to explain the impact of organizational support on team performance. A total of 228 cases collected from Korean business organizations were used for data analysis. Hierarchical multiple regression, Type 1 SS-based…
Descriptors: Structural Equation Models, Teamwork, Data Analysis, Foreign Countries
Hayes, Hanna Bea – ProQuest LLC, 2012
Many researchers have examined the effect of formal mentoring on job satisfaction and organizational commitment. However, there has been little or no focus on an employee's intent to participate in a formal mentoring program based upon an employee's perceived organizational support, and/or affective reaction (job satisfaction and…
Descriptors: Mentors, Intention, Employees, Affective Behavior
Johnson, Joel D. – ProQuest LLC, 2013
This study confirmed appropriate measurement model fit for a theoretical model, the STEM vocational choice (STEM-VC) model. This model identifies exogenous factors that successfully predicted, at a statistically significant level, a student's vocational choice decision to pursue a STEM degree at transfer. The student population examined for this…
Descriptors: Career Choice, STEM Education, College Students, Hispanic American Students
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