PLS Path Modelling with Latent Variables: Analysing School Survey Data Using Partial Least Squares‐Part II 1,2

作者: Richard Noonan , Herman Wold

DOI: 10.1080/0031383800240101

关键词: Educational researchCognitive developmentSchool systemPsychologyEconometricsPartial least squares regressionTeacher educationLatent variablePath analysis (statistics)School survey

摘要: Abstract: Noonan, R. & Wold, H. 1980. PLS Path Modelling with Latent Variables: Analyzing School Survey Data Using Partial Least Squares ‐‐ Part II. Scandinavian Journal of Educational Research 24,1‐24. (Partial Squares) path analysis latent variables provides a powerful tool for data in low‐information situations. In an attempt to assess the magnitude effects variety regional, home, student, teacher, and school factors on variation student cognitive affective outcomes science, 59 16 blocks were entered into analysis. The IEA survey Sweden used. specification estimation model are discussed. It is found that existing teacher has no tendency cause significant outcomes, which due part high level equality achieved Swedish system. Variation training, however, appears influence achievemen...

参考文章(13)
Torsten Husén, T. Neville Postlethwaite, Bruce Choppin, Roy W. Phillipps, Gilbert Fawcett Peaker, An empirical study of education in twenty-one countries: A technical report ,(1975)
George W. Mayeske, A Study of Our Nation's Schools. Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 (Stock Number 1780-1046, $2.25 postpaid or $2.00 GPO Bookstore). ,(1972)
Richard Noonan, NIPALS Path Modelling with Latent Variables Scandinavian Journal of Educational Research. ,vol. 21, pp. 33- 61 ,(1977) , 10.1080/0031383770210103
Karl G. Jöreskog, A GENERAL METHOD FOR ESTIMATING A LINEAR STRUCTURAL EQUATION SYSTEM* ETS Research Bulletin Series. ,vol. 1970, pp. i- 41 ,(1970) , 10.1002/J.2333-8504.1970.TB00783.X
Benjamin Samuel Bloom, Human Characteristics and School Learning ,(1976)
James S. Coleman, Equality of Educational Opportunity ,(1966)
Alexander M. Mood, Partitioning Variance in Multiple Regression Analyses as a Tool For Developing Learning Models American Educational Research Journal. ,vol. 8, pp. 191- 202 ,(1971) , 10.3102/00028312008002191