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Turner, Sherri L.; Joeng, Ju Ri; Mason-Chagil, Gale; Conkel-Ziebell, Julia L.; Dade, Shari N.; Kim, Ryoka – Professional School Counseling, 2018
Based on the Integrated Conceptual Model of Student Success, we used structural equation modeling (path analysis) to test a model of college readiness counseling for Native American high school students. Results indicated that college readiness counseling and achievement motivation predicted achievement, while parent support and school climate…
Descriptors: Structural Equation Models, College Readiness, School Counseling, American Indian Students
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Berthele, Raphael; Udry, Isabelle – International Journal of Multilingualism, 2022
Theories of multilingual language learning often assume that previous language learning experiences in at least two languages provide advantages for additional language learning. Other research emphasises the importance of general cognitive abilities as predictors of language learning. We test whether a set of predictions based on a multilingual…
Descriptors: Multilingualism, Cognitive Ability, German, French
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Bailey, Janelle M.; Jamani, Sonia; Klavon, Timothy G.; Jaffe, Joshua; Mohan, Svetha – Educational and Developmental Psychologist, 2022
Objective: Socially-relevant and controversial topics, such as the climate crisis, are subject to differences in the explanations that scientists and the public find plausible. Scaffolds can help students be evaluative of the validity of explanations based on evidence when addressing such topics and support knowledge gains. Method: This study…
Descriptors: Climate, Teaching Methods, Environmental Education, Weather
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Kahraman, Nilufer; Brown, Crystal B. – Applied Measurement in Education, 2015
Psychometric models based on structural equation modeling framework are commonly used in many multiple-choice test settings to assess measurement invariance of test items across examinee subpopulations. The premise of the current article is that they may also be useful in the context of performance assessment tests to test measurement invariance…
Descriptors: Factor Analysis, Structural Equation Models, Medical Students, Performance Based Assessment
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Mishra, Abhishek; Yousaf, Anish; Amin, Insha – International Journal of Educational Management, 2020
Purpose: The current work explores the attributes that serve as motivation regulations for students' selection of a higher education institute (HEI). Design/methodology/approach: With a self-determination theory (SDT) perspective, the current study used a mixed-method approach to develop a scale to measure HEI attribute-based motivation…
Descriptors: Student Attitudes, College Choice, Decision Making, Self Determination
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Rashidi, Ahmad Amanzadeh; Azma, Fareydoon; Samiee, Roohallah; Sobhani, Abdolreza – Educational Research and Reviews, 2020
Today, most high education experts consider value creation (a term different from entrepreneurship or entrepreneur) as a condition necessary for the survival and development of universities and higher education systems. In this era of advanced technologies and knowledge-based industries in global, regional, national and even local economies,…
Descriptors: Universities, Higher Education, School Business Relationship, Foreign Countries
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Lin, Shinyi; Hu, Hsiang-Chih; Chiu, Chou-Kang – EURASIA Journal of Mathematics, Science and Technology Education, 2020
This study, which is rooted in design thinking, explores how participants in both academia and industry settings vary in their perceived self-efficacy in critical thinking after using online training units with information and communication technologies (ICTs). Based on the quasi-experimental pre-post research design with stratified sampling, the…
Descriptors: Self Efficacy, Critical Thinking, Information Technology, Pretests Posttests
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Chen, Gaowei; Zhang, Jiahong; Chan, Carol K. K.; Michaels, Sarah; Resnick, Lauren B.; Huang, Xiaorui – British Educational Research Journal, 2020
This study seeks to understand the emotional connection of teachers' academically productive talk (APT) with student learning from the students' perspective. Using a sample of 2,225 students (N[subscript 7th grade] = 1,146 and N[subscript 8th grade] = 1,079) from 16 middle schools in a city of China, we investigate the relationship between…
Descriptors: Anxiety, Teacher Student Relationship, Classroom Communication, Student Attitudes
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Yohana, Corry – International Journal of Education and Practice, 2020
This paper aims to explain the factors that influence entrepreneurship education in shaping the development of entrepreneurship competency in vocational high school (SMK) students. The study was conducted in 4 (four) district / city locations, with each location represented by 3 (three) schools (2 public and 1 private). Data was collected through…
Descriptors: Entrepreneurship, Vocational High Schools, High School Students, Teaching Methods
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Hui, Bryant P. H.; Ngai, Pun; Qiu, Jack Linchuan; Koo, Anita – Youth & Society, 2020
Adolescent behavior is often negatively viewed especially regarding work experience. By introducing a concept of prosocial behavior, our study attempts to provide an alternative view on the effects of teenage job and work experience. We hypothesized that work experience could generate more prosocial behaviors. By surveying a large group of…
Descriptors: Prosocial Behavior, Work Experience, Vocational Schools, Structural Equation Models
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Markus, Keith A. – Measurement: Interdisciplinary Research and Perspectives, 2014
In a series of articles and comments, Kenneth Bollen and his collaborators have incrementally refined an account of structural equation models that (a) model a latent variable as the effect of several observed variables and (b) carry an interpretation of the observed variables as, in some sense, measures of the latent variable that they cause.…
Descriptors: Measurement, Structural Equation Models, Statistical Analysis, Causal Models
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Goodarzi, Shahbaz; Fallah, Vahid; Saffarian, Saeid – International Education Studies, 2016
The purpose of this study is to determine the dimensions of smart schools in the Fars education system and provide a suitable model. The research method is descriptive survey. The study population consisted of all school principals Fars Province in the academic 2014-2015 and number of them was 1364. The sample volume using Cochran method was 302…
Descriptors: Foreign Countries, Models, Principals, Administrator Surveys
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Oort, Frans J.; Jak, Suzanne – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) involves fitting models to a common population correlation matrix that is estimated on the basis of correlation coefficients that are reported by a number of independent studies. MASEM typically consist of two stages. The method that has been found to perform best in terms of statistical…
Descriptors: Maximum Likelihood Statistics, Meta Analysis, Structural Equation Models, Correlation
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Lee, Taehun; Cai, Li; Kuhfeld, Megan – Grantee Submission, 2016
Posterior Predictive Model Checking (PPMC) is a Bayesian model checking method that compares the observed data to (plausible) future observations from the posterior predictive distribution. We propose an alternative to PPMC in the context of structural equation modeling, which we term the Poor Persons PPMC (PP-PPMC), for the situation wherein one…
Descriptors: Structural Equation Models, Bayesian Statistics, Prediction, Monte Carlo Methods
Ryan, Sarah; Junker, Brian W. – Youth & Society, 2019
Through the development and field testing of an instrument designed to measure youth social capital in the context of postsecondary transitions, this research addresses the need for theory-driven measures of social capital among youth. The results offer preliminary evidence that dimensions of youth social capital, including network structure and…
Descriptors: Social Capital, Measurement Techniques, Social Networks, Student Adjustment
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