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The Resource Making sense of data and statistics in psychology, Brian Greer and Gerry Mulhern

Making sense of data and statistics in psychology, Brian Greer and Gerry Mulhern

Label
Making sense of data and statistics in psychology
Title
Making sense of data and statistics in psychology
Statement of responsibility
Brian Greer and Gerry Mulhern
Creator
Contributor
Subject
Language
eng
Cataloging source
OX/U-1
http://library.link/vocab/creatorDate
1944-
http://library.link/vocab/creatorName
Greer, Brian
Index
index present
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
Mulhern, Gerry
http://library.link/vocab/subjectName
  • Psychometrics
  • Psychology
Label
Making sense of data and statistics in psychology, Brian Greer and Gerry Mulhern
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • Preface
  • Acknowledgements
  • 1.
  • Statistics in psychology.
  • p. 1
  • What does this book offer?.
  • p. 1
  • OK, so why statistics?.
  • p. 4
  • Variability in psychology.
  • p. 6
  • Is psychology a science?.
  • p. 9
  • Chapter review.
  • p. 13
  • Part I.
  • Making Sense of Basic Designs.
  • p. 15
  • 2.
  • Variables.
  • p. 17
  • Ways of measuring people (and other animals).
  • p. 17
  • Nature of data generated.
  • p. 19
  • idea of a variable.
  • p. 22
  • Variables under experimental control.
  • p. 25
  • Investigating relationships between variables.
  • p. 27
  • Chapter review.
  • p. 28
  • 3.
  • Describing and summarising data.
  • p. 29
  • Summary statistics.
  • p. 29
  • Graphical representations of distributions.
  • p. 38
  • Chapter review.
  • p. 43
  • 4.
  • Seeing patterns in data: Comparing.
  • p. 44
  • Comparing proportions.
  • p. 44
  • Comparison between independent samples.
  • p. 50
  • Comparison within paired data.
  • p. 54
  • On not jumping to conclusions.
  • p. 57
  • Comparisons as relationships between variables.
  • p. 58
  • Chapter review.
  • p. 59
  • 5.
  • Seeing patterns in data: Correlating.
  • p. 60
  • concept of correlation.
  • p. 60
  • Correlation and causation.
  • p. 67
  • On not jumping to conclusions.
  • p. 68
  • Chapter review.
  • p. 70
  • 6.
  • relevance of probability.
  • p. 71
  • Measuring probability.
  • p. 71
  • Counting heads.
  • p. 78
  • role of the normal distribution.
  • p. 81
  • Predicting an election: A sampling example.
  • p. 83
  • key idea: Conditional probability.
  • p. 85
  • Inference from sample to population: An example.
  • p. 88
  • Chapter review.
  • p. 93
  • 7.
  • Statistical tests: Comparing.
  • p. 94
  • Comparing proportions.
  • p. 94
  • Comparison between independent groups.
  • p. 100
  • Comparison within paired data.
  • p. 114
  • Another case of paired data: Matched pairs designs.
  • p. 119
  • Chapter review.
  • p. 120
  • 8.
  • Statistical tests: Correlating.
  • p. 121
  • Quantifying strength of relationship.
  • p. 121
  • rank-based alternative.
  • p. 126
  • Testing for significance.
  • p. 131
  • Correlation and causation.
  • p. 134
  • Example: Burt's data on juvenile delinquency.
  • p. 136
  • Fitting a straight line.
  • p. 139
  • example of regression lines: Analysis of Burt data.
  • p. 142
  • Testing for significance of regression.
  • p. 145
  • Chapter review.
  • p. 145
  • 9.
  • Experimentation in psychology.
  • p. 146
  • Putting a little more meat on the bones.
  • p. 146
  • Recap: The empirical process.
  • p. 146
  • Experimental designs.
  • p. 147
  • Pros and cons of the various designs.
  • p. 152
  • Coping with transfer.
  • p. 153
  • Summing up: Design, validity and insidious variables.
  • p. 158
  • Statistical inference.
  • p. 158
  • Choosing the right statistical test.
  • p. 167
  • Chapter review.
  • p. 172
  • Part II.
  • Making Sense of Bigger Designs.
  • p. 173
  • 10.
  • Seeing patterns in data: Comparing more than two groups.
  • p. 175
  • Examples of comparisons.
  • p. 175
  • Chapter review.
  • p. 186
  • 11.
  • Statistical tests: Comparing more than two groups.
  • p. 187
  • Extending from two to more than two groups.
  • p. 187
  • Example 1.
  • Independent groups.
  • p. 188
  • Example 2.
  • Repeated measures.
  • p. 194
  • ANOVA terminology.
  • p. 197
  • ANOVA logic: A summary.
  • p. 197
  • Rank-based alternatives.
  • p. 198
  • Settling differences: Post-hoc tests.
  • p. 201
  • Chapter review.
  • p. 205
  • 12.
  • Seeing patterns in data: Comparisons involving more than one independent variable.
  • p. 206
  • Illustrative examples.
  • p. 206
  • Beyond graphical analysis.
  • p. 217
  • Chapter review.
  • p. 218
  • 13.
  • Statistical tests: Comparing more than one independent variable.
  • p. 219
  • For example ..
  • p. 219
  • Settling more differences.
  • p. 226
  • Chapter review.
  • p. 232
  • 14.
  • Relating: Multiple variables.
  • p. 233
  • Introducing multiple regression analysis.
  • p. 233
  • Variations on the multiple regression analysis theme.
  • p. 242
  • relative strengths and weaknesses of MRA and ANOVA.
  • p. 257
  • Chapter review.
  • p. 258
  • 15.
  • Overview.
  • p. 259
  • On seeing the wood for the trees: What are the big ideas?.
  • p. 259
  • Book review.
  • p. 267
  • Index.
  • p. 269
Control code
99033362968x
Dimensions
25 cm.
Extent
xiii, 272 p.
Isbn
9780333629697
Other physical details
ill.
Label
Making sense of data and statistics in psychology, Brian Greer and Gerry Mulhern
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • Preface
  • Acknowledgements
  • 1.
  • Statistics in psychology.
  • p. 1
  • What does this book offer?.
  • p. 1
  • OK, so why statistics?.
  • p. 4
  • Variability in psychology.
  • p. 6
  • Is psychology a science?.
  • p. 9
  • Chapter review.
  • p. 13
  • Part I.
  • Making Sense of Basic Designs.
  • p. 15
  • 2.
  • Variables.
  • p. 17
  • Ways of measuring people (and other animals).
  • p. 17
  • Nature of data generated.
  • p. 19
  • idea of a variable.
  • p. 22
  • Variables under experimental control.
  • p. 25
  • Investigating relationships between variables.
  • p. 27
  • Chapter review.
  • p. 28
  • 3.
  • Describing and summarising data.
  • p. 29
  • Summary statistics.
  • p. 29
  • Graphical representations of distributions.
  • p. 38
  • Chapter review.
  • p. 43
  • 4.
  • Seeing patterns in data: Comparing.
  • p. 44
  • Comparing proportions.
  • p. 44
  • Comparison between independent samples.
  • p. 50
  • Comparison within paired data.
  • p. 54
  • On not jumping to conclusions.
  • p. 57
  • Comparisons as relationships between variables.
  • p. 58
  • Chapter review.
  • p. 59
  • 5.
  • Seeing patterns in data: Correlating.
  • p. 60
  • concept of correlation.
  • p. 60
  • Correlation and causation.
  • p. 67
  • On not jumping to conclusions.
  • p. 68
  • Chapter review.
  • p. 70
  • 6.
  • relevance of probability.
  • p. 71
  • Measuring probability.
  • p. 71
  • Counting heads.
  • p. 78
  • role of the normal distribution.
  • p. 81
  • Predicting an election: A sampling example.
  • p. 83
  • key idea: Conditional probability.
  • p. 85
  • Inference from sample to population: An example.
  • p. 88
  • Chapter review.
  • p. 93
  • 7.
  • Statistical tests: Comparing.
  • p. 94
  • Comparing proportions.
  • p. 94
  • Comparison between independent groups.
  • p. 100
  • Comparison within paired data.
  • p. 114
  • Another case of paired data: Matched pairs designs.
  • p. 119
  • Chapter review.
  • p. 120
  • 8.
  • Statistical tests: Correlating.
  • p. 121
  • Quantifying strength of relationship.
  • p. 121
  • rank-based alternative.
  • p. 126
  • Testing for significance.
  • p. 131
  • Correlation and causation.
  • p. 134
  • Example: Burt's data on juvenile delinquency.
  • p. 136
  • Fitting a straight line.
  • p. 139
  • example of regression lines: Analysis of Burt data.
  • p. 142
  • Testing for significance of regression.
  • p. 145
  • Chapter review.
  • p. 145
  • 9.
  • Experimentation in psychology.
  • p. 146
  • Putting a little more meat on the bones.
  • p. 146
  • Recap: The empirical process.
  • p. 146
  • Experimental designs.
  • p. 147
  • Pros and cons of the various designs.
  • p. 152
  • Coping with transfer.
  • p. 153
  • Summing up: Design, validity and insidious variables.
  • p. 158
  • Statistical inference.
  • p. 158
  • Choosing the right statistical test.
  • p. 167
  • Chapter review.
  • p. 172
  • Part II.
  • Making Sense of Bigger Designs.
  • p. 173
  • 10.
  • Seeing patterns in data: Comparing more than two groups.
  • p. 175
  • Examples of comparisons.
  • p. 175
  • Chapter review.
  • p. 186
  • 11.
  • Statistical tests: Comparing more than two groups.
  • p. 187
  • Extending from two to more than two groups.
  • p. 187
  • Example 1.
  • Independent groups.
  • p. 188
  • Example 2.
  • Repeated measures.
  • p. 194
  • ANOVA terminology.
  • p. 197
  • ANOVA logic: A summary.
  • p. 197
  • Rank-based alternatives.
  • p. 198
  • Settling differences: Post-hoc tests.
  • p. 201
  • Chapter review.
  • p. 205
  • 12.
  • Seeing patterns in data: Comparisons involving more than one independent variable.
  • p. 206
  • Illustrative examples.
  • p. 206
  • Beyond graphical analysis.
  • p. 217
  • Chapter review.
  • p. 218
  • 13.
  • Statistical tests: Comparing more than one independent variable.
  • p. 219
  • For example ..
  • p. 219
  • Settling more differences.
  • p. 226
  • Chapter review.
  • p. 232
  • 14.
  • Relating: Multiple variables.
  • p. 233
  • Introducing multiple regression analysis.
  • p. 233
  • Variations on the multiple regression analysis theme.
  • p. 242
  • relative strengths and weaknesses of MRA and ANOVA.
  • p. 257
  • Chapter review.
  • p. 258
  • 15.
  • Overview.
  • p. 259
  • On seeing the wood for the trees: What are the big ideas?.
  • p. 259
  • Book review.
  • p. 267
  • Index.
  • p. 269
Control code
99033362968x
Dimensions
25 cm.
Extent
xiii, 272 p.
Isbn
9780333629697
Other physical details
ill.

Library Locations

    • Sydney Jones LibraryBorrow it
      Chatham Street, Liverpool, L7 7BD, GB
      53.403069 -2.963723
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