Summary
Contents
Subject index
Education has continued to grow in stature and significance as an academic discipline. In addition to world renowned research studies the growth of education has been seen in the methodology and methods underpinning its research. The BERA/SAGE Handbook of Educational Research provides a cutting edge account of the research and methodology that is creating new understandings for education research, policy and practice. Over two volumes, the handbook addresses educational research in six essential components: Section 1: Understanding Research Section 2: Planning Research Section 3: Approaches to Research Section 4: Acquiring Data Section 5: Analysing Data Section 6: Reporting, Disseminating and Evaluating Research Featuring contributions from more than 50 of the biggest names in the international field, The BERA/SAGE Handbook of Educational Research represents a very significant contribution to the development of education.
Logistic Regression
Logistic Regression
Many research problems in education call for the analysis and prediction of a dichotomous outcome, for example, whether or not a student will persist in the college, whether a child should be classified as learning disabled (LD) or not, or whether an adolescent is, or is not, prone to engage in risky behaviors. Traditionally, these research questions were addressed by either ordinary least squares (OLS) regression or linear discriminant function analysis. Both techniques were subsequently found to be less than ideal in handling dichotomous outcomes, due to their strict statistical assumptions, that is, linearity, normality, and continuity for OLS regression, or multivariate normality with equal variances and covariances for discriminant analysis (Cabrera, 1994; ...
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