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Showing 1 to 15 of 23 results Save | Export
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Educational and Psychological Measurement, 2022
Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…
Descriptors: Structural Equation Models, Factor Structure, Statistical Bias, Error of Measurement
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Xu, Menglin; Logan, Jessica A. R. – Journal of Research on Educational Effectiveness, 2021
Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The…
Descriptors: Longitudinal Studies, Research Design, Research Problems, Structural Equation Models
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Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
Andrew J. Martin; Harry Nejad; Susan Colmar; Gregory Arief D. Liem – Sage Research Methods Cases, 2014
This case study describes a program of research that developed a new measure--the Adaptability Scale--and then tested this new measure through a set of substantive research questions and publications. Three phases of this research program are detailed: a measurement phase, a modeling phase, and a mediation phase. The aim of this case study is to…
Descriptors: Test Construction, Measures (Individuals), Research Methodology, Factor Analysis
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Branum-Martin, Lee; Mehta, Paras D.; Taylor, W. Patrick; Carlson, Coleen D.; Lei, Xiaoxuan; Hunter, C. Vincent; Francis, David J. – Society for Research on Educational Effectiveness, 2015
In order to examine the effectiveness of instruction, the authors confront formidable statistical problems, including multivariate structure of classroom observations, longitudinal dependence of both classroom observations and student outcomes. As the authors begin to examine instruction, classroom observations involve multiple variables for which…
Descriptors: Instructional Effectiveness, Learning Processes, Multivariate Analysis, Classroom Observation Techniques
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Revilla, Melanie; Saris, Willem E. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Saris, Satorra, and Coenders (2004) proposed a new approach to estimate the quality of survey questions, combining the advantages of 2 existing approaches: the multitrait-multimethod (MTMM) and the split-ballot (SB) ones. Implemented in practice, this new approach led to frequent problems of nonconvergence and improper solutions. This article uses…
Descriptors: Multitrait Multimethod Techniques, Surveys, Monte Carlo Methods, Correlation
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Paschall, Katherine W.; Mastergeorge, Ann M. – International Journal of Behavioral Development, 2016
The concept of bidirectionality represents a process of mutual influence between parent and child, whereby each influences the other as well as the dyadic relationship. Despite the widespread acceptance of bidirectional models of influence, there is still a lack of integration of such models in current research designs. Research on…
Descriptors: Educational Research, Educational History, Parent Child Relationship, Interaction
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Bootrach, Pradit; Thiengkamol, Nongnapas; Thiengkamol, Tanarat Khoowaranyoo – Applied Environmental Education and Communication, 2015
Data was collected from 403 primary school administrators in Maha Sarakham Province, Thailand, to develop causal relationship model of Administrator Characteristics (AC), Teacher Characteristics (TC) and Environmental Education Principle (EE) that affect Environmental Education Strategy (EES) through Inspiration of Public Mind for Environmental…
Descriptors: Foreign Countries, Environmental Education, Educational Strategies, Administrator Characteristics
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Kasekende, Francis; Munene, John C.; Otengei, Samson Omuudu; Ntayi, Joseph Mpeera – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to examine relationship between teacher competences and organizational citizenship behavior (OCB) with empowerment as a mediating factor. Design/methodology/approach: The study took a cross-sectional descriptive and analytical design. Using cluster and random sampling procedures, data were obtained from 383…
Descriptors: Teacher Competencies, Organizational Culture, Citizenship, Teacher Empowerment
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Jang, Hyungshim; Kim, Eun Joo; Reeve, Johnmarshall – Journal of Educational Psychology, 2012
This study provides the first longitudinally designed, classroom-based empirical test of self-determination theory's motivation mediation model. Measures of perceived autonomy support, motivation (autonomy need satisfaction), engagement, and achievement were collected from 500 (257 females, 243 males) 8th-grade students in Korea in a 3-wave…
Descriptors: Learning Motivation, Foreign Countries, Research Design, Structural Equation Models
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Imai, Kosuke; Jo, Booil; Stuart, Elizabeth A. – Multivariate Behavioral Research, 2011
In this commentary, we demonstrate how the potential outcomes framework can help understand the key identification assumptions underlying causal mediation analysis. We show that this framework can lead to the development of alternative research design and statistical analysis strategies applicable to the longitudinal data settings considered by…
Descriptors: Research Design, Statistical Analysis, Research Methodology, Longitudinal Studies
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Lasgaard, Mathias; Goossens, Luc; Elklit, Ask – Journal of Abnormal Child Psychology, 2011
The paper presents the first known longitudinal study of the relationship between loneliness, depressive symptoms, and suicide ideation in adolescence, in a stratified sample of high school students (Time 1 N = 1009; 57% female; Time 2 N = 541; 60% female). Cross-lagged structural equation modeling indicated that depressive symptoms led to more…
Descriptors: Social Desirability, Structural Equation Models, Suicide, Longitudinal Studies
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Stone, Thomas H.; Jawahar, I. M.; Kisamore, Jennifer L. – Career Development International, 2009
Purpose: The purpose of this paper is to show that academic misconduct appears to be on the rise; some research has linked academic misconduct to unethical workplace behaviors. Unlike previous empirically-driven research, this theory-based study seeks to examine the usefulness of a modification of Ajzen's theory of planned behavior to predict…
Descriptors: Undergraduate Students, Cheating, Predictor Variables, Ethics
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DeBlaere, Cirleen; Brewster, Melanie E.; Sarkees, Anthony; Moradi, Bonnie – Counseling Psychologist, 2010
Methodological barriers have been highlighted as a primary reason for the limited research with lesbian, gay, and bisexual (LGB) people of color. Thus, strategies for anticipating and addressing potential methodological barriers are needed. To address this need, this article discusses potential challenges associated with conducting research with…
Descriptors: Homosexuality, Ethnic Groups, Sexual Orientation, Sexual Identity
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Markus, Keith A. – Multivariate Behavioral Research, 2008
One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…
Descriptors: Research Design, Structural Equation Models, Data Analysis, Causal Models
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