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Widaman, Keith F. – Measurement: Interdisciplinary Research and Perspectives, 2014
Latent variable structural equation modeling has become the analytic method of choice in many domains of research in psychology and allied social sciences. One important aspect of a latent variable model concerns the relations hypothesized to hold between latent variables and their indicators. The most common specification of structural equation…
Descriptors: Structural Equation Models, Predictor Variables, Educational Research, Causal Models
Font, Sarah A.; Berger, Lawrence M. – Child Development, 2015
Associations between experiencing child maltreatment and adverse developmental outcomes are widely studied, yet conclusions regarding the extent to which effects are bidirectional, and whether they are likely causal, remain elusive. This study uses the Fragile Families and Child Wellbeing Study, a birth cohort of 4,898 children followed from birth…
Descriptors: Child Abuse, Parent Child Relationship, Child Development, Young Children
Nicole Bohme Carnegie; Masataka Harada; Jennifer L. Hill – Journal of Research on Educational Effectiveness, 2016
A major obstacle to developing evidenced-based policy is the difficulty of implementing randomized experiments to answer all causal questions of interest. When using a nonexperimental study, it is critical to assess how much the results could be affected by unmeasured confounding. We present a set of graphical and numeric tools to explore the…
Descriptors: Randomized Controlled Trials, Simulation, Evidence Based Practice, Barriers
Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Tighe, Elizabeth L.; Wagner, Richard K.; Schatschneider, Christopher – Reading and Writing: An Interdisciplinary Journal, 2015
This study demonstrates the utility of applying a causal indicator modeling framework to investigate important predictors of reading comprehension in third, seventh, and tenth grade students. The results indicated that a 4-factor multiple indicator multiple indicator cause (MIMIC) model of reading comprehension provided adequate fit at each grade…
Descriptors: Reading Comprehension, Reading Skills, Causal Models, Predictor Variables
Ozel, Murat; Caglak, Serdar; Erdogan, Mehmet – Learning and Individual Differences, 2013
This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
Ciorba, Charles R.; Russell, Brian E. – Journal of Research in Music Education, 2014
The purpose of this study was to test a hypothesized model that proposes a causal relationship between motivation and academic achievement on the acquisition of jazz theory knowledge. A reliability analysis of the latent variables ranged from 0.92 to 0.94. Confirmatory factor analyses of the motivation (standardized root mean square residual…
Descriptors: Music Education, Hypothesis Testing, Causal Models, Student Motivation
Roberts, Ros; Johnson, Philip – Curriculum Journal, 2015
Recent school science curriculum developments in many countries emphasise that scientists derive evidence for their claims through different approaches; that such practices are bound up with disciplinary knowledge; and that the quality of data should be appreciated. This position paper presents an understanding of the validity of data as a set of…
Descriptors: Educational Quality, Data, Concept Mapping, Scientific Concepts
Dong, Nianbo – American Journal of Evaluation, 2015
Researchers have become increasingly interested in programs' main and interaction effects of two variables (A and B, e.g., two treatment variables or one treatment variable and one moderator) on outcomes. A challenge for estimating main and interaction effects is to eliminate selection bias across A-by-B groups. I introduce Rubin's causal model to…
Descriptors: Probability, Statistical Analysis, Research Design, Causal Models
Badri, Masood; Al Rashedi, Asma; Yang, Guang; Mohaidat, Jihad; Al Hammadi, Arif – Education and Information Technologies, 2016
Offering an online integrated high-school course or subject for the first time involves many challenges. Better understanding the factors that affect students' willingness to participate in the experience could provide support for better implementation of such a strategic initiative. In addition, it is important to understand how personal factors…
Descriptors: Intention, Electronic Learning, Structural Equation Models, High School Students
Lo, Yun-Jia – ProQuest LLC, 2012
In educational research, a randomized controlled trial is the best design to eliminate potential selection bias in a sample to support valid causal inferences, but it is not always possible in educational research because of financial, ethical, and logistical constrains. One alternative solution is use of the propensity score (PS) methods.…
Descriptors: Educational Research, Probability, Scores, Research Methodology
King, Ronnel B.; Ganotice, Fraide A.; Watkins, David A. – Social Psychology of Education: An International Journal, 2014
We examined how achievement (mastery and performance) and social goals (affiliation, approval, concern, and status) influenced various learning outcomes in two collectivist cultures. Filipino (n = 355) and Hong Kong Chinese (n = 697) secondary students answered the relevant questionnaires. Regression analyses using mastery, performance, and social…
Descriptors: Cross Cultural Studies, Metacognition, Predictor Variables, Asians
Copriady, Jimmi – Turkish Online Journal of Educational Technology - TOJET, 2014
The aim of this study is to examine teachers' motivation as a great mediator for teachers' readiness in applying ICT in their teaching and learning. Apart from that, this study was carried out to differentiate the influence of exsogenous variables from the endogenous variables based on the academic fields (pure science and social science). This is…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Motivation, Technology Uses in Education
Diket, Read M.; Xu, Lihua; Brewer, Thomas M. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2014
The aspirational model resulted from the authors' secondary analysis of the Mother/Child (M/C) test block from the 2008 National Assessment of Educational Progress restricted data that examined the responses of the national sample of 8th-grade students (n = 1648). This test block presented no artmaking task and consisted of the same 13 questions…
Descriptors: Group Testing, Art Education, Grade 8, National Surveys
Sen, Senol; Yilmaz, Ayhan – Science Education International, 2016
The objective of this study is to analyze the relationship between preservice teachers' time and study environment management, effort regulation, self-efficacy beliefs, control of learning beliefs and metacognitive self-regulation. This study also investigates the direct and indirect effects of metacognitive self-regulation on time and study…
Descriptors: Structural Equation Models, Preservice Teachers, Self Efficacy, Self Control

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