Data Analysis

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A01=Edward L. Wike
Author_Edward L. Wike
Category=JM
Distribution Free Tests
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extreme
Extreme Scores
frequency
Frequency Polygon
Friedman Test
Highest Score Lowest Score
ica
Independent Groups
Independent Groups Design
Interaction Table
ion
Kruskal Wallis Test
log
Matched Groups Designs
Multiple Comparison Techniques
Multiple Comparison Tests
Multiple Sign Tests
Nemenyi Test
polygon
PR Training
psycho
Research Errors
rmiss
Scatter Diagram
Scheffe Test
shot
Significant Simple Main Effects
Simple Interaction Effects
Simple Main Effects
Steel Test
Studentized Range Test
Wilcoxon's Test
wild
Wild Shot

Product details

  • ISBN 9781138521964
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 02 Aug 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book is intended for psychology majors and graduate students who are conducting experiments for the first time and are faced with the task of making sense out of their data. This much needed "how-to-do-it" text illustrates the application of statistical methods to the data from small samples. It also serves as a handbook, with twenty-two tables presented at the end of the text that will allow the student to carry out virtually every computation necessary in analyzing his data. Almost all of the examples and illustrations are drawn from actual experiments so that the student can see how professional scientists examine their data. The book also shows students the kinds of data that are encountered in psychological research, the kinds of questions investigators seek to answer, and how these questions are approached.

The author asserts that statistics is not an abstract discipline but a tool in research. However, the book also imparts a philosophy of data analysis and its meaning, a concern for questions of the function of data analysis and the interpretations that legitimately can be drawn from data. In brief, Data Analysis asks: What kinds of data are met in psychological research? What can we do with these data? What can we conclude as a result of this doing?

The book will be invaluable for students who, even though they may have taken a previous statistics course, are still unsure of what statistical techniques should be used in interpreting their data.

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