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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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Hayes, Timothy; Usami, Satoshi – Educational and Psychological Measurement, 2020
Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…
Descriptors: Regression (Statistics), Structural Equation Models, Statistical Bias, Correlation
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Cunningham, George B.; Ahn, Na Young – Measurement in Physical Education and Exercise Science, 2019
Moderators are variables that affect the relationship between a predictor and outcome. They help to clarify otherwise ambiguous patterns of results, extend theory, and signal the growth of a field. Given the importance of moderators, the authors offer an overview of methodological and statistical considerations for testing moderation and then…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology
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Devlieger, Ines; Talloen, Wouter; Rosseel, Yves – Educational and Psychological Measurement, 2019
Factor score regression (FSR) is a popular alternative for structural equation modeling. Naively applying FSR induces bias for the estimators of the regression coefficients. Croon proposed a method to correct for this bias. Next to estimating effects without bias, interest often lies in inference of regression coefficients or in the fit of the…
Descriptors: Regression (Statistics), Computation, Goodness of Fit, Statistical Inference
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Ramli, Nurjannah; Muljono, Pudji; Afendi, Farit M. – Journal of Education and e-Learning Research, 2018
There are many factors which affect the level of self-directed learning readiness. This study aims to investigate the relationship between external factors, internal factors and self-directed learning readiness. This study was carried out by using a census method for fourth year students of medical program of Tadulako University. Data were…
Descriptors: Independent Study, Learning Readiness, Influences, Foreign Countries
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Pedro, Ilda Maria; Pereira, Luis Nobre; Carrasqueira, Hélder Brito – Journal of Marketing for Higher Education, 2018
This study aims to find determinants for the commitment relationship between alumni and alma mater. Based on the literature, satisfaction and image are proposed as drivers of commitment. A survey applied to 2544 alumni in a Portuguese university provides data analyzed through a structural equation modeling technique. The results present 'image of…
Descriptors: Alumni, Foreign Countries, Relationship, Surveys
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Kirikkanat, Berke; Soyer, Makbule Kali – European Journal of Educational Research, 2018
The major purpose of this study was to create a path analysis model of academic success in a group of university students, which included the variables of academic confidence and psychological capital with a mediator variable--academic coping. 400 undergraduates from Marmara University and Istanbul Commerce University who were in sophomore, junior…
Descriptors: Path Analysis, Undergraduate Students, Academic Achievement, Self Esteem
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Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – British Journal of Sociology of Education, 2020
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…
Descriptors: School Demography, Socioeconomic Status, Socioeconomic Influences, Context Effect
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Lohbeck, Annette – Early Child Development and Care, 2018
Based upon self-concept and self-determination theory, the present study aimed to examine the measurement separability of young children's math self-concept (MSC) and six specific types of motivation, namely, intrinsic motivation (INTR), integrated motivation (INTEG), identified motivation (IDENT), introjected motivation, extrinsic motivation…
Descriptors: Self Determination, Self Concept, Elementary School Mathematics, Student Motivation
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Aguirre-Urreta, Miguel I.; Rönkkö, Mikko; Marakas, George M. – Measurement: Interdisciplinary Research and Perspectives, 2016
One of the central assumptions of the causal-indicator literature is that all causal indicators must be included in the research model and that the exclusion of one or more relevant causal indicators would have severe negative consequences by altering the meaning of the latent variable. In this research we show that the omission of a relevant…
Descriptors: Causal Models, Measurement, Research Problems, Structural Equation Models
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Wang, Jue; Engelhard, George, Jr.; Lu, Zhenqiu – Measurement: Interdisciplinary Research and Perspectives, 2014
The authors of the focus article in this issue have emphasized the continuing confusion among some researchers regarding various indicators used in structural equation models (SEMs). Their major claim is that causal indicators are not inherently unstable, and even if they are unstable they are at least not more unstable than other types of…
Descriptors: Structural Equation Models, Measurement, Statistical Analysis, Causal Models
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Yuma-Guerrero, Paula J.; Cubbin, Catherine; von Sternberg, Kirk – Health Education & Behavior, 2017
Objectives: The purpose of this study was to determine if social cohesion mediates the effects of neighborhood and household-level socioeconomic status (SES), perceptions of neighborhood safety, and access to parks on mothers' engagement in physical activity (PA). Method: Secondary analyses were conducted on cross-sectional data from The…
Descriptors: Neighborhoods, Mothers, Physical Activities, Well Being
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Sabanci, Ali; Sahin, Ahmet; Özdemir, Izzet – Online Submission, 2018
The purpose of this study was to explore the correlation between interpersonal communication skills and conflict management strategies in the case of inspection groups constituted by a number of inspectors based on the geographical and demographic dispersion of the school population in Turkey. This research was conducted as a survey. The…
Descriptors: Correlation, Interpersonal Communication, Conflict Resolution, Interpersonal Competence
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Flack, Tove – Emotional & Behavioural Difficulties, 2017
Relational aggression is a destructive behaviour that increases during adolescence. In order to develop effective interventions aimed to combat relational aggression, there is an urgent need to study what motivates this behaviour. This study investigates the association between status stress, status goals, and relational aggressive behaviour in a…
Descriptors: Aggression, Developmental Stages, Correlation, Secondary School Students
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Schulz, Andreas – Mathematical Thinking and Learning: An International Journal, 2018
Theoretical analysis of whole number-based calculation strategies and digit-based algorithms for multi-digit multiplication and division reveals that strategy use includes two kinds of reasoning: reasoning about the relations between numbers and reasoning about the relations between operations. In contrast, algorithms aim to reduce the necessary…
Descriptors: Computation, Mathematics Instruction, Multiplication, Arithmetic
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