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Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
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Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
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Marcoulides, Katerina M.; Raykov, Tenko – Educational and Psychological Measurement, 2019
A procedure that can be used to evaluate the variance inflation factors and tolerance indices in linear regression models is discussed. The method permits both point and interval estimation of these factors and indices associated with explanatory variables considered for inclusion in a regression model. The approach makes use of popular latent…
Descriptors: Regression (Statistics), Statistical Analysis, Computation, Computer Software
Craig K. Enders – Grantee Submission, 2023
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…
Descriptors: Data, Research, Theories, Regression (Statistics)
Zhang, Zhiyong; Jiang, Kaifeng; Liu, Haiyan; Oh, In-Sue – Grantee Submission, 2018
To answer the call of introducing more Bayesian techniques to organizational research (e.g., Kruschke, Aguinis, & Joo, 2012; Zyphur & Oswald, 2013), we propose a Bayesian approach for meta-analysis with power prior in this article. The primary purpose of this method is to allow meta-analytic researchers to control the contribution of each…
Descriptors: Bayesian Statistics, Meta Analysis, Correlation, Statistical Analysis
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Enders, Craig K.; Keller, Brian T.; Levy, Roy – Grantee Submission, 2018
Specialized imputation routines for multilevel data are widely available in software packages, but these methods are generally not equipped to handle a wide range of complexities that are typical of behavioral science data. In particular, existing imputation schemes differ in their ability to handle random slopes, categorical variables,…
Descriptors: Hierarchical Linear Modeling, Behavioral Science Research, Computer Software, Bayesian Statistics
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Bulut, Okan; Yavuz, Hatice Cigdem – International Journal of Assessment Tools in Education, 2019
Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…
Descriptors: Data Analysis, Educational Research, Educational Researchers, Computer Software
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Farlik, John T. – ProQuest LLC, 2016
Project success has multiple definitions in the scholarly literature. Research has shown that some scholars and practitioners define project success as the completion of a project within schedule and within budget. Others consider a successful project as one in which the customer is satisfied with the product. This quantitative study was conducted…
Descriptors: Computer Software, Success, Interpersonal Communication, Statistical Analysis
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Bi, Qianwen; Finke, Michael; Huston, Sandra J. – Journal of Financial Counseling and Planning, 2017
Financial software offers an appealing substitute for an investment in complex financial knowledge to help individuals make better financial decisions. Little is known, however, about which consumers use financial software and whether the use of financial software results in improved financial outcomes. Using data from the 2008 National…
Descriptors: Computer Software, Longitudinal Studies, National Surveys, Human Capital
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Rodríguez-López, Carlos; Salas-Fariña, Zeus M.; Villa-González, Emilio; Borges-Cosic, Milkana; Herrador-Colmenero, Manuel; Medina-Casaubón, Jesús; Ortega, Francisco B.; Chillón, Palma – Health Education & Behavior, 2017
Active commuting to school has health implications among young people. We aimed to (a) examine the patterns of commuting to school in children and adolescents regarding gender and area of residence, (b) study the association between distance from home to school and mode of commuting, and (c) identify the threshold distance below which young people…
Descriptors: Physical Activities, Transportation, Correlation, Regression (Statistics)
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Zakariya, Yusuf F. – International Journal of Instruction, 2016
In this study, the author examined the validity of MATH 105 as a prerequisite to MATH 201. The data for this study was extracted directly from the examination results logic of the university. Descriptive statistics in form of correlations and linear regressions were used to analyze the obtained data. Three research questions were formulated and…
Descriptors: Foreign Countries, Undergraduate Students, Mathematics Instruction, College Mathematics
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Ponnuswamy, Indra; Manohar, Hansa Lysander – Studies in Higher Education, 2016
In this paper, an adapted version of the Dimensions of Learning Organization Questionnaire (DLOQ) was employed to investigate the perception of academic staff on learning organization culture in Indian higher education institutions. The questionnaire was sent to 700 faculty members of different universities using a non-probability purposive…
Descriptors: Foreign Countries, Higher Education, Universities, College Faculty
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Kung, LeeAnn; Kung, Hsiang-Jui – Information Systems Education Journal, 2017
This paper identifies factors that motivate students to pursue a vendor-endorsed ERP award by integrating concepts from motivation theory and constructs from technology acceptance literature. We developed a web-based survey with closed- and open-ended questions to collect both quantitative and qualitative data, respectively. Students in…
Descriptors: Student Attitudes, Student Surveys, Online Surveys, Predictor Variables
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Akin, Erhan – Educational Research and Reviews, 2016
The purpose of the study is to reveal the relation between the Metacognitive Understanding of What is Listened to and the Metacognitive Awareness Levels of Secondary School Students. 210 students, who were at 5, 6, 7, and 8th Grades studying at Turgut Ozal Secondary School in Bulanik County of the city of Mus, participated in the study. The…
Descriptors: Metacognition, Secondary School Students, Correlation, Measures (Individuals)
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