The Resource An introduction to statistics in psychology : a complete guide for students, Dennis Howitt and Duncan Cramer
An introduction to statistics in psychology : a complete guide for students, Dennis Howitt and Duncan Cramer
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The item An introduction to statistics in psychology : a complete guide for students, Dennis Howitt and Duncan Cramer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item An introduction to statistics in psychology : a complete guide for students, Dennis Howitt and Duncan Cramer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 Summary
 "An Introduction to Statistics in Psychology is the simplest approach to the wide range of elementary, intermediate and advanced statistics needed by undergraduate (and postgraduate) students in Psychology. It is designed to meet their needs at all stages in their studies. Together with the Guide to Computing Statistics with SPSS for Windows, the book provides a complete package aiding students not only to select and compute appropriate tests for their data, but also to interpret the statistics and report their findings." "This comprehensive text is written in an accessible and jargon free way. Short chapters ensure its suitability for modular study by allowing the instructor to tailor the material to their students needs." "Complex mathematics is kept to a minimum and concepts that are often difficult to grasp are explained stepbystep using a wide variety of examples."BOOK JACKET
 Language
 eng
 Edition
 2nd ed
 Extent
 xii, 482 p.
 Contents

 Introduction
 Pt. 1.
 Descriptive statistics.
 p. 1
 1.
 Why you need statistics: Types of data.
 p. 3
 2.
 Describing variables: Tables and diagrams.
 p. 9
 3.
 Describing variables numerically: Averages, variation and spread.
 p. 20
 4.
 Shapes of distributions of scores.
 p. 31
 5.
 Standard deviation: The standard unit of measurement in statistics.
 p. 41
 6.
 Relationships between two or more variables: Diagrams and tables.
 p. 53
 7.
 Correlation coefficients: Pearson correlation and Spearman's rho.
 p. 62
 8.
 Regression: Prediction with precision.
 p. 80
 Pt. 2.
 Significance testing.
 p. 91
 9.
 Samples and populations: Generalizing and inferring.
 p. 93
 10.
 Statistical significance for the correlation coefficient: A practical introduction to statistical inference.
 p. 99
 11.
 Standard error: The standard deviation of the means of samples.
 p. 109
 12.
 ttest: Comparing two samples of correlated / related scores.
 p. 115
 13.
 ttest: Comparing two groups of unrelated / uncorrelated scores.
 p. 127
 14.
 Chisquare: Differences between samples of frequency data.
 p. 142
 15.
 Probability.
 p. 161
 16.
 Reporting significance levels succinctly.
 p. 167
 17.
 Onetailed versus twotailed significance testing.
 p. 172
 18.
 Ranking tests: nonparametric statistics.
 p. 176
 Pt. 3.
 Introduction to analysis of variance.
 p. 187
 19.
 variance ratio test: The Fratio to compare two variances.
 p. 189
 20.
 Analysis of variance (ANOVA): Introduction to the oneway unrelated or uncorrelated ANOVA.
 p. 195
 21.
 Analysis of variance for correlated scores or repeated measures.
 p. 214
 22.
 Twoway analysis of variance for unrelated / uncorrelated scores: Two experiments for the price of one?.
 p. 231
 23.
 Multiple comparisons in ANOVA: Just where do the differences lie?.
 p. 262
 24.
 More analysis of variance designs: Mixeddesign ANOVA and analysis of covariance (ANCOVA).
 p. 269
 25.
 Statistics and the analysis of experiments.
 p. 300
 Pt. 4.
 More advanced correlational statistics.
 p. 307
 26.
 Partial correlation: Spurious correlation, third variables, suppressor variables.
 p. 309
 27.
 Factor analysis: simplifying complex data.
 p. 319
 28.
 Multiple regression and multiple correlation.
 p. 334
 29.
 Path analysis.
 p. 346
 30.
 analysis of a questionnaire / survey project.
 p. 360
 Pt. 5.
 Assorted advanced techniques.
 p. 369
 31.
 Statistical power analysis: Do my findings matter?.
 p. 371
 32.
 Metaanalysis: Combining and exploring statistical findings from previous research.
 p. 378
 33.
 Reliability in scales and measurement: Consistency and agreement.
 p. 396
 34.
 Confidence intervals.
 p. 407
 35.
 analysis of complex contingency tables: Loglinear methods.
 p. 416
 App. A.
 Testing for excessively skewed distributions.
 p. 442
 App. B1.
 Large sample formulae for the nonparametric tests.
 p. 445
 App. B2.
 Nonparametric tests for three or more groups.
 p. 446
 App. C.
 Extended table of significance for the Pearson correlation coefficient.
 p. 450
 App. D.
 Table of significance for the Spearman correlation coefficient.
 p. 453
 App. E.
 Extended table of significance for the ttest.
 p. 456
 App. F.
 Table of significance for chisquare.
 p. 459
 App. G.
 Extended table of significance for the sign test.
 p. 460
 App. H.
 Table of significance for the Wilcoxon Matched Pairs Test.
 p. 463
 App. I.
 Table of significance for the MannWhitney Utest.
 p. 466
 App. J.
 Table of significant values for the Fdistribution.
 p. 468
 App. K.
 Table of significant values of t when making multiple ttests.
 p. 472
 References.
 p. 475
 Index.
 p. 477
 Isbn
 9780130173140
 Label
 An introduction to statistics in psychology : a complete guide for students
 Title
 An introduction to statistics in psychology
 Title remainder
 a complete guide for students
 Statement of responsibility
 Dennis Howitt and Duncan Cramer
 Language
 eng
 Summary
 "An Introduction to Statistics in Psychology is the simplest approach to the wide range of elementary, intermediate and advanced statistics needed by undergraduate (and postgraduate) students in Psychology. It is designed to meet their needs at all stages in their studies. Together with the Guide to Computing Statistics with SPSS for Windows, the book provides a complete package aiding students not only to select and compute appropriate tests for their data, but also to interpret the statistics and report their findings." "This comprehensive text is written in an accessible and jargon free way. Short chapters ensure its suitability for modular study by allowing the instructor to tailor the material to their students needs." "Complex mathematics is kept to a minimum and concepts that are often difficult to grasp are explained stepbystep using a wide variety of examples."BOOK JACKET
 Cataloging source
 DLC
 http://library.link/vocab/creatorName
 Howitt, Dennis
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate
 1948
 http://library.link/vocab/relatedWorkOrContributorName
 Cramer, Duncan
 http://library.link/vocab/subjectName
 Psychometrics
 Label
 An introduction to statistics in psychology : a complete guide for students, Dennis Howitt and Duncan Cramer
 Bibliography note
 Includes bibliographical references (p. 475476) and index
 Contents

 Introduction
 Pt. 1.
 Descriptive statistics.
 p. 1
 1.
 Why you need statistics: Types of data.
 p. 3
 2.
 Describing variables: Tables and diagrams.
 p. 9
 3.
 Describing variables numerically: Averages, variation and spread.
 p. 20
 4.
 Shapes of distributions of scores.
 p. 31
 5.
 Standard deviation: The standard unit of measurement in statistics.
 p. 41
 6.
 Relationships between two or more variables: Diagrams and tables.
 p. 53
 7.
 Correlation coefficients: Pearson correlation and Spearman's rho.
 p. 62
 8.
 Regression: Prediction with precision.
 p. 80
 Pt. 2.
 Significance testing.
 p. 91
 9.
 Samples and populations: Generalizing and inferring.
 p. 93
 10.
 Statistical significance for the correlation coefficient: A practical introduction to statistical inference.
 p. 99
 11.
 Standard error: The standard deviation of the means of samples.
 p. 109
 12.
 ttest: Comparing two samples of correlated / related scores.
 p. 115
 13.
 ttest: Comparing two groups of unrelated / uncorrelated scores.
 p. 127
 14.
 Chisquare: Differences between samples of frequency data.
 p. 142
 15.
 Probability.
 p. 161
 16.
 Reporting significance levels succinctly.
 p. 167
 17.
 Onetailed versus twotailed significance testing.
 p. 172
 18.
 Ranking tests: nonparametric statistics.
 p. 176
 Pt. 3.
 Introduction to analysis of variance.
 p. 187
 19.
 variance ratio test: The Fratio to compare two variances.
 p. 189
 20.
 Analysis of variance (ANOVA): Introduction to the oneway unrelated or uncorrelated ANOVA.
 p. 195
 21.
 Analysis of variance for correlated scores or repeated measures.
 p. 214
 22.
 Twoway analysis of variance for unrelated / uncorrelated scores: Two experiments for the price of one?.
 p. 231
 23.
 Multiple comparisons in ANOVA: Just where do the differences lie?.
 p. 262
 24.
 More analysis of variance designs: Mixeddesign ANOVA and analysis of covariance (ANCOVA).
 p. 269
 25.
 Statistics and the analysis of experiments.
 p. 300
 Pt. 4.
 More advanced correlational statistics.
 p. 307
 26.
 Partial correlation: Spurious correlation, third variables, suppressor variables.
 p. 309
 27.
 Factor analysis: simplifying complex data.
 p. 319
 28.
 Multiple regression and multiple correlation.
 p. 334
 29.
 Path analysis.
 p. 346
 30.
 analysis of a questionnaire / survey project.
 p. 360
 Pt. 5.
 Assorted advanced techniques.
 p. 369
 31.
 Statistical power analysis: Do my findings matter?.
 p. 371
 32.
 Metaanalysis: Combining and exploring statistical findings from previous research.
 p. 378
 33.
 Reliability in scales and measurement: Consistency and agreement.
 p. 396
 34.
 Confidence intervals.
 p. 407
 35.
 analysis of complex contingency tables: Loglinear methods.
 p. 416
 App. A.
 Testing for excessively skewed distributions.
 p. 442
 App. B1.
 Large sample formulae for the nonparametric tests.
 p. 445
 App. B2.
 Nonparametric tests for three or more groups.
 p. 446
 App. C.
 Extended table of significance for the Pearson correlation coefficient.
 p. 450
 App. D.
 Table of significance for the Spearman correlation coefficient.
 p. 453
 App. E.
 Extended table of significance for the ttest.
 p. 456
 App. F.
 Table of significance for chisquare.
 p. 459
 App. G.
 Extended table of significance for the sign test.
 p. 460
 App. H.
 Table of significance for the Wilcoxon Matched Pairs Test.
 p. 463
 App. I.
 Table of significance for the MannWhitney Utest.
 p. 466
 App. J.
 Table of significant values for the Fdistribution.
 p. 468
 App. K.
 Table of significant values of t when making multiple ttests.
 p. 472
 References.
 p. 475
 Index.
 p. 477
 Control code
 980099045154
 Dimensions
 24 cm.
 Edition
 2nd ed
 Extent
 xii, 482 p.
 Isbn
 9780130173140
 Lccn
 lc99045154
 Other physical details
 ill.
 Label
 An introduction to statistics in psychology : a complete guide for students, Dennis Howitt and Duncan Cramer
 Bibliography note
 Includes bibliographical references (p. 475476) and index
 Contents

 Introduction
 Pt. 1.
 Descriptive statistics.
 p. 1
 1.
 Why you need statistics: Types of data.
 p. 3
 2.
 Describing variables: Tables and diagrams.
 p. 9
 3.
 Describing variables numerically: Averages, variation and spread.
 p. 20
 4.
 Shapes of distributions of scores.
 p. 31
 5.
 Standard deviation: The standard unit of measurement in statistics.
 p. 41
 6.
 Relationships between two or more variables: Diagrams and tables.
 p. 53
 7.
 Correlation coefficients: Pearson correlation and Spearman's rho.
 p. 62
 8.
 Regression: Prediction with precision.
 p. 80
 Pt. 2.
 Significance testing.
 p. 91
 9.
 Samples and populations: Generalizing and inferring.
 p. 93
 10.
 Statistical significance for the correlation coefficient: A practical introduction to statistical inference.
 p. 99
 11.
 Standard error: The standard deviation of the means of samples.
 p. 109
 12.
 ttest: Comparing two samples of correlated / related scores.
 p. 115
 13.
 ttest: Comparing two groups of unrelated / uncorrelated scores.
 p. 127
 14.
 Chisquare: Differences between samples of frequency data.
 p. 142
 15.
 Probability.
 p. 161
 16.
 Reporting significance levels succinctly.
 p. 167
 17.
 Onetailed versus twotailed significance testing.
 p. 172
 18.
 Ranking tests: nonparametric statistics.
 p. 176
 Pt. 3.
 Introduction to analysis of variance.
 p. 187
 19.
 variance ratio test: The Fratio to compare two variances.
 p. 189
 20.
 Analysis of variance (ANOVA): Introduction to the oneway unrelated or uncorrelated ANOVA.
 p. 195
 21.
 Analysis of variance for correlated scores or repeated measures.
 p. 214
 22.
 Twoway analysis of variance for unrelated / uncorrelated scores: Two experiments for the price of one?.
 p. 231
 23.
 Multiple comparisons in ANOVA: Just where do the differences lie?.
 p. 262
 24.
 More analysis of variance designs: Mixeddesign ANOVA and analysis of covariance (ANCOVA).
 p. 269
 25.
 Statistics and the analysis of experiments.
 p. 300
 Pt. 4.
 More advanced correlational statistics.
 p. 307
 26.
 Partial correlation: Spurious correlation, third variables, suppressor variables.
 p. 309
 27.
 Factor analysis: simplifying complex data.
 p. 319
 28.
 Multiple regression and multiple correlation.
 p. 334
 29.
 Path analysis.
 p. 346
 30.
 analysis of a questionnaire / survey project.
 p. 360
 Pt. 5.
 Assorted advanced techniques.
 p. 369
 31.
 Statistical power analysis: Do my findings matter?.
 p. 371
 32.
 Metaanalysis: Combining and exploring statistical findings from previous research.
 p. 378
 33.
 Reliability in scales and measurement: Consistency and agreement.
 p. 396
 34.
 Confidence intervals.
 p. 407
 35.
 analysis of complex contingency tables: Loglinear methods.
 p. 416
 App. A.
 Testing for excessively skewed distributions.
 p. 442
 App. B1.
 Large sample formulae for the nonparametric tests.
 p. 445
 App. B2.
 Nonparametric tests for three or more groups.
 p. 446
 App. C.
 Extended table of significance for the Pearson correlation coefficient.
 p. 450
 App. D.
 Table of significance for the Spearman correlation coefficient.
 p. 453
 App. E.
 Extended table of significance for the ttest.
 p. 456
 App. F.
 Table of significance for chisquare.
 p. 459
 App. G.
 Extended table of significance for the sign test.
 p. 460
 App. H.
 Table of significance for the Wilcoxon Matched Pairs Test.
 p. 463
 App. I.
 Table of significance for the MannWhitney Utest.
 p. 466
 App. J.
 Table of significant values for the Fdistribution.
 p. 468
 App. K.
 Table of significant values of t when making multiple ttests.
 p. 472
 References.
 p. 475
 Index.
 p. 477
 Control code
 980099045154
 Dimensions
 24 cm.
 Edition
 2nd ed
 Extent
 xii, 482 p.
 Isbn
 9780130173140
 Lccn
 lc99045154
 Other physical details
 ill.
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