Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences

Author: Susan A. Nolan

Publisher: Macmillan

Published: 2011-02

Total Pages: 710

ISBN-13: 142923265X

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Nolan and Heinzen’s engaging introduction to statistics has captivated students with its easy readability and vivid examples drawn from everyday life. The mathematics of statistical reasoning are made accessible with careful explanations and a helpful three-tier approach to working through exercises: Clarifying the Concepts, Calculating the Statistics, and Applying the Concepts. New pedagogy, end-of-chapter material, and the groundbreaking learning space StatsPortal give students even more tools to help them master statistics than ever before.


The Student Edition of Minitab

The Student Edition of Minitab

Author: Robert L. Schaefer

Publisher:

Published: 1992

Total Pages: 644

ISBN-13: 9780201955125

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An interactive statistical software package for organizing, analyzing, and reporting statistical data. Student edition is a streamlined version of the commercial program with manual written specifically for students.


A Guide to R for Social and Behavioral Science Statistics

A Guide to R for Social and Behavioral Science Statistics

Author: Brian Joseph Gillespie

Publisher: SAGE Publications

Published: 2020-02-07

Total Pages: 305

ISBN-13: 1544344031

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Geared toward social and behavioural statistics students, especially those with no background in computer science, this handy guide contains basic information on statistics in the R language.


Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences

Author: Jacob Cohen

Publisher: Routledge

Published: 2013-05-13

Total Pages: 625

ISBN-13: 1134742770

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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 more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.


Writing Literature Reviews

Writing Literature Reviews

Author: Jose L. Galvan

Publisher: Taylor & Francis

Published: 2017-04-05

Total Pages: 309

ISBN-13: 1351858920

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Guideline 12: If the Results of Previous Studies Are Inconsistent or Widely Varying, Cite Them Separately