Handbook for Data Analysis in the Behaviorial Sciences
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advanced psychological data analysis methods
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BESD
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Category=JM
computer simulation research
confidence
effect
Empirical Epistemology
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Fair Coin
fallacy
gambler's
general linear model
Heavy Tailed Distributions
Hybrid Logic
hypothesis
Independent Studies
intervals
Local Representativeness
Long Run Frequency
MANOVA MANCOVA
Mixed Normal Distribution
multidimensional scaling
Noncentrality Parameter
Nonmetric Multidimensional Scaling
Null Hypothesis
Null Hypothesis Testing
posterior
Posterior Probability
probability
Roc Curve
Rubin's Model
signal detection theory
size
Social Science Research
statistical reasoning psychology
Theoretical Epistemology
Unfolding Model
Van Der Waerden Test
Vice Versa
Welcht Test
Wilcoxon Mann Whitney Test
Wilcoxon Test
Product details
- ISBN 9780805810370
- Weight: 1080g
- Dimensions: 152 x 229mm
- Publication Date: 01 Nov 1992
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.
