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Direct linkVaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Peer reviewed
Download full textSarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela – International Review of Research in Open and Distributed Learning, 2016
Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Higher Education
Mavridis, Dimitris; Moustaki, Irini – Multivariate Behavioral Research, 2008
In this article we extend and implement the forward search algorithm for identifying atypical subjects/observations in factor analysis models. The forward search has been mainly developed for detecting aberrant observations in regression models (Atkinson, 1994) and in multivariate methods such as cluster and discriminant analysis (Atkinson, Riani,…
Descriptors: Simulation, Mathematics, Factor Analysis, Discriminant Analysis
Findley, Warren G. – 1969
This is a research report concerned with the availability of computer programs which made it advisable to try not only the factors dictated by a criterion, but successive additional factors until the meaning of the pattern is clarified. Examples illustrate the application of sequential factor analyses using a principal axes solution and varimax…
Descriptors: Behavioral Science Research, Computer Programs, Data Analysis, Discriminant Analysis
Carney, Paul – 1979
This introduction to the theory and application of multivariate analysis is designed to assist institutional researchers who are interested in using these techniques to analyze issues within their respective institutions. A brief introduction to multivariate theory, consisting of a rationale for multivariate statistics and an overview of selected…
Descriptors: Analysis of Variance, Conference Reports, Data Analysis, Discriminant Analysis
FLEEGE, URBAN H.; AND OTHERS – 1967
IN ORDER TO INVESTIGATE THE EFFECTIVENESS OF MONTESSORI PRESCHOOL EDUCATION AS COMPARED WITH NON-MONTESSORI PRESCHOOL EDUCATION, PHASE I OF THIS STUDY MATCHED 2 GROUPS, EACH OF 21 PRESCHOOL CHILDREN, ON INTELLIGENCE QUOTIENT AND CERTAIN SOCIO-ECONOMIC FACTORS. ONE GROUP ATTENDED A MONTESSORI PRESCHOOL AND THE OTHER A NON-MONTESSORI PRESCHOOL. THE…
Descriptors: Academic Ability, Academic Achievement, Behavior Development, Comparative Analysis
