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Norton, Jan – NADE Digest, 2006
Studies in education often report the differences between participants' and non-participants' test scores, course grades, retention, and other criteria. When participants' average performance is higher, it can be difficult to attribute the improvements to participation. Comparing participants and non-participants on other measures can strengthen…
Descriptors: Educational Research, Research Methodology, Comparative Analysis, Student Characteristics
Wang, Tianyou; Kolen, Michael J. – 1994
In this paper a quadratic curve equating method for different test forms under a random-group data-collection design is proposed. Procedures for implementing this method and related issues are described and discussed. The quadratic-curve method was evaluated with real test data (from two 30-item subtests for a professional licensure examination…
Descriptors: Comparative Analysis, Data Collection, Equated Scores, Goodness of Fit
Keeves, J. P. – 1974
In this paper, personality characteristics of the students and their performance at school are linked together. The performance cycle model of 12 months duration used here contains causal relationships between initial achievement, the mediating variables of academic motivation and attentiveness, and final achievement. A random sample of 215…
Descriptors: Academic Achievement, Attention, Educational Research, Family Environment
Keeves, J. P. – 1974
In a study of factors in the educational environment of the home, the school, and the peer group contributing to achievement and attitudes towards schooling at the upper primary and lower secondary school levels, an opportunity arose to examine the data available for configural and curvilinear relationships. Information was collected on 11…
Descriptors: Academic Achievement, Analysis of Variance, Comparative Analysis, Educational Research