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Showing all 10 results Save | Export
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Pradeep, M.; Satish, K. P. – Industry and Higher Education, 2022
Start-up ecosystems are emerging rapidly worldwide. The speed of technology innovation and the diversity of business ideas keep the start-up landscape in constant flux. While many emerging start-ups are in the areas of electronics and information sciences, the field of mechanical engineering has huge potential that has yet to be exploited. Today's…
Descriptors: Engineering Education, Innovation, Technological Advancement, Entrepreneurship
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Hancock, Gregory R.; An, Ji – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we frame the topic of scale reliability within a "confirmatory factor analysis" and "structural equation modeling" (SEM) context and address some of the limitations of Cronbach's a. This modeling approach has two major advantages: (1) it allows researchers to make explicit the relation between their items…
Descriptors: Reliability, Structural Equation Models, Factor Analysis, Correlation
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Eidizadeh, Rosa; Salehzadeh, Reza; Chitsaz Esfahani, Ali – Journal of Workplace Learning, 2017
Purpose: This paper aims to study the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage. Design/Methodology/Approach: The statistical population of the study was the managers and the specialists of some export companies of which 213 persons participated in this research. Path analysis…
Descriptors: Competition, Innovation, Sharing Behavior, Business
Huihui Yu; D. Betsy McCoach; Allen W. Gottfried; Adele Eskeles Gottfried – Sage Research Methods Cases, 2016
In 2013, Drs Allen and Adele Gottfried shared the Fullerton longitudinal data with us. The data provided a unique opportunity to investigate the intellectual development and the longitudinal relation between intelligence and academic achievement. Previous studies have seldom addressed the latent nature of intelligence and academic achievement.…
Descriptors: Longitudinal Studies, Structural Equation Models, Intelligence, Cognitive Development
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Whaley, Arthur L. – Research in Higher Education, 2017
The literature on the teaching and learning of statistics tend not to address issues of cultural diversity. Twenty-nine students enrolled in a statistics course at a historically Black college/university (HBCU) were the focus of this pilot study. Using structural equation modeling (SEM), the study tested models of the effects of writing…
Descriptors: African American Students, Black Colleges, Culturally Relevant Education, Statistics
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Green, Teegan – Studies in Higher Education, 2016
Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013…
Descriptors: Higher Education, Educational Research, Structural Equation Models, Sample Size
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Ghosh, Rajashi; Jacobson, Seth – European Journal of Training and Development, 2016
Purpose: The purpose of this paper is to conduct a critical review of the mediation studies published in the field of Human Resource Development (HRD) to discern if the study designs, the nature of data collection and the choice of statistical methods justify the causal claims made in those studies. Design/methodology/approach: This paper conducts…
Descriptors: Attribution Theory, Human Resources, Labor Force Development, Standards
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Núñez, Juan L.; Fernández, Celia; León, Jaime; Grijalvo, Fernando – Teachers and Teaching: Theory and Practice, 2015
What makes a student feel vital and energetic? Using the self-determination framework, we analyzed how the behavior and feelings of students depend on social factors such as the teachers' attitudes. The goal of the study was to test an integrated sequence over a semester in which teacher's autonomy support acts as a predictor of autonomy, which,…
Descriptors: Professional Autonomy, Personal Autonomy, Teacher Attitudes, Student Behavior
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Lee, In Heok – Career and Technical Education Research, 2012
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Descriptors: Vocational Education, Data Collection, Maximum Likelihood Statistics, Educational Research
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Brown, Kathleen M.; Benkovitz, Jen; Muttillo, A. J.; Urban, Thad – Teachers College Record, 2011
Background/Context: In the Fall 2006 issue of AERJ, Hoy, Tarter, and Woolfolk Hoy identified the new construct of academic optimism as a general latent concept related to student achievement even after controlling for SES, previous performance, and other demographic variables. Through structural equation modeling, they found that the collective…
Descriptors: Feedback (Response), Structural Equation Models, Academic Achievement, Interviews