Contrasts and Effect Sizes in Behavioral Research

Contrasts and Effect Sizes in Behavioral Research
Author: Robert Rosenthal
Publisher: Cambridge University Press
Total Pages: 224
Release: 2000
Genre: Psychology
ISBN: 9780521659802
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This book presents a series of concepts, measures, and indices that permit a more useful application of contrast analysis.


Contrasts and Effect Sizes in Behavioral Research
Language: en
Pages: 224

Contrasts and Effect Sizes in Behavioral Research

Authors: Robert Rosenthal
Categories: Psychology
Type: BOOK - Published: 2000 - Publisher: Cambridge University Press

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This book presents a series of concepts, measures, and indices that permit a more useful application of contrast analysis.
Statistical Power Analysis for the Behavioral Sciences
Language: en
Pages: 625

Statistical Power Analysis for the Behavioral Sciences

Authors: Jacob Cohen
Categories: Psychology
Type: BOOK - Published: 2013-05-13 - Publisher: Routledge

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Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for
Contrast Analysis
Language: en
Pages: 132

Contrast Analysis

Authors: Robert Rosenthal
Categories: Mathematics
Type: BOOK - Published: 1985 - Publisher: CUP Archive

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This is the first text for those seeking appropriate statistical approaches to research data that is devoted entirely to the topic of contrasts. Contrast analys
Encyclopedia of Research Design
Language: en
Pages: 1779

Encyclopedia of Research Design

Authors: Neil J. Salkind
Categories: Philosophy
Type: BOOK - Published: 2010-06-22 - Publisher: SAGE

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"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an e
Doing Meta-Analysis with R
Language: en
Pages: 500

Doing Meta-Analysis with R

Authors: Mathias Harrer
Categories: Mathematics
Type: BOOK - Published: 2021-09-15 - Publisher: CRC Press

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Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis