Del 5 - Advances in Social Science Methodology

Advances in Social Science Methodology

Inbunden, Engelska, 1987

Av Bruce Thompson

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This third volume in the series covers a variety of topics in the field.

Produktinformation

Utgivningsdatum1987-07-01
Mått156 x 234 x 20 mm
Vikt669 g
FormatInbunden
SpråkEngelska
SerieAdvances in Social Science Methodology
Antal sidor352
FörlagEmerald Publishing Limited
ISBN9780762302628

Tillhör följande kategorier

Sociologi inom Samhalle och politik

On some history regarding statistical testing (C.J. Huberty, C.J. Pike). Five methodology errors in educational research: a pantheon of statistical significance and other faux pas (B. Thompson). Effect size measures: what they are and how to compute them (F.J. Kier). Relating variance partitioning in measurement analyses to the exact same process in substantive analyses (T.E. Dawson). Fixed-, random-, and mixed-effects ANOVA models: a user-friendly guide for increasing the generalizability of ANOVA results (B.N. Frederick). Factor scores and factor structure communality coefficients (R.D. Wells). Defining and interpreting suppressor effects: advantages and limitations (B.P. Lancaster. Why generalizability theory is essential and classical test theory is often inadequate (K.M. Kieffer). Item response theory: understanding the one-parameter Rasch model (C.E. Cantrell). Multivariatge normality: what is it and how is it assessed? (R.K. Henson). Strategies for detecting outliers in regression analysis: an introductory primer (V.P. Evans). Analyzing repeated measures designs using univariate and multivariate methods: a primer (J. Tanguma). New approaches to the analysis of repeated measurements (H.J. Keselman et al.). The simple difference score as an inherently poor measure of change: some reality, much mythology (B.D. Zumbo). Partitioning variance in the multivariate case: a step-by-step guide to canonical commonality analysis (B.N. Frederick). Acceptable variable deletion methods in canonical correlation analysis (C.E. Cantrell). Canonical redundancy (Rd) coefficients: they should (almost never) be computed and interpreted (J.K. Roberts).

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