Introduction to SPSS statistics in psychology : for version 19 and earlier / / Dennis Howitt, Duncan Cramer

• Autore: Howitt Dennis
• Pubblicazione: Harlow, England : , : Pearson, , 2014; ©2014
• Edizione: Sixth edition.
• Descrizione fisica: 1 online resource (560 pages) : illustrations
• Disciplina: 150.2
• Soggetto topico: Psychometrics
• Persona (resp. second.): CramerDuncan
• Note generali: Includes index.
• Nota di contenuto: Cover -- Contents -- Guided tour -- Introduction -- Acknowledgements -- Key differences between IBM SPSS Statistics 22 and earlier versions -- Part 1 Introduction to SPSS Statistics -- 1 A brief introduction to statistics -- Overview -- 1.1 Basic statistical concepts essential in SPSS Statistics analyses -- 1.2 Basic research designs: comparative versus correlational designs -- 1.3 The different types of variables in statistics -- 1.4 Descriptive and inferential statistics compared -- 1.5 Related versus unrelated designs -- 1.6 Quick summaries of statistical analyses -- 1.7 Which procedure or test to use -- 2 Basics of SPSS Statistics data entry and statistical analysis -- Overview -- 2.1 What is SPSS Statistics? -- 2.2 Accessing SPSS Statistics -- 2.3 Entering data -- 2.4 Moving within a window with the mouse -- 2.5 Moving within a window using the keyboard keys with the mouse -- 2.6 Saving data to disk -- 2.7 Opening up a data file -- 2.8 Using 'Variable View' to create and label variables -- 2.9 More on 'Data View' -- 2.10 A simple statistical calculation with SPSS -- 2.11 The SPSS Statistics output -- Summary of SPSS Statistics steps for a statistical analysis -- Part 2 Descriptive statistics -- 3 Describing variables: Tables -- Overview -- 3.1 What are tables? -- 3.2 When to use tables -- 3.3 When not to use tables -- 3.4 Data requirements for tables -- 3.5 Problems in the use of tables -- 3.6 The data to be analysed -- 3.7 Entering summarised categorical or frequency data by weighting -- 3.8 Percentage frequencies -- 3.9 Interpreting the output -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for frequency tables -- 4 Describing variables: Diagrams -- Overview -- 4.1 What are diagrams? -- 4.2 When to use diagrams -- 4.3 When not to use diagrams -- 4.4 Data requirements for diagrams -- 4.5 Problems in the use of diagrams. ; 4.6 The data to be analysed -- 4.7 Entering summarised categorical or frequency data by weighting -- 4.8 Pie diagram of category data -- 4.9 Adding labels to the pie diagram and removing the legend and label -- 4.10 Changing the colour of a pie diagram slice to a black and white pattern -- 4.11 Bar chart of category data -- 4.12 Histograms -- Summary of SPSS steps for charts -- 5 Describing variables numerically: Averages, variation and spread -- Overview -- 5.1 What are averages, variation and spread? -- 5.2 When to use averages, variation and spread -- 5.3 When not to use averages, variation and spread -- 5.4 Data requirements for averages, variation and spread -- 5.5 Problems in the use of averages, variation and spread -- 5.6 The data to be analysed -- 5.7 Entering the data -- 5.8 Mean, median, mode, standard deviation, variance and range -- 5.9 Interpreting the output -- 5.10 Other features -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for descriptive statistics -- 6 Shapes of distributions of scores -- Overview -- 6.1 What are the different shapes of scores? -- 6.2 When to use histograms and frequency tables of scores -- 6.3 When not to use histograms and frequency tables of scores -- 6.4 Data requirements for using histograms and frequency tables of scores -- 6.5 Problems in using histograms and frequency tables of scores -- 6.6 The data to be analysed -- 6.7 Entering the data -- 6.8 Frequency tables -- 6.9 Interpreting the output -- REPORTING THE OUTPUT -- 6.10 Histograms -- 6.11 Interpreting the output -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for frequency distributions -- 7 Standard deviation: The standard unit of measurement in statistics -- Overview -- 7.1 What is standard deviation? -- 7.2 When to use standard deviation -- 7.3 When not to use standard deviation. ; 7.4 Data requirements for standard deviation -- 7.5 Problems in the use of standard deviation -- 7.6 The data to be analysed -- 7.7 Entering the data -- 7.8 Standard deviation -- 7.9 Interpreting the output -- 7.10 Z -scores -- 7.11 Other features -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for standard deviation -- 8 Relationships between two or more variables: Tables -- Overview -- 8.1 What tables are used to show relationships between variables? -- 8.2 When to use tables to show relationships between variables -- 8.3 When not to use tables to show relationships between variables -- 8.4 Data requirements for tables to show relationships between variables -- 8.5 Problems in the use of tables to show relationships between variables -- 8.6 The data to be analysed -- 8.7 Entering the data -- 8.8 Weighting the data -- 8.9 Cross-tabulation with frequencies -- 8.10 Displaying frequencies as a percentage of the total number -- 8.11 Displaying frequencies as a percentage of the column total -- Summary of SPSS Statistics steps for contingency tables -- 9 Relationships between two or more variables: Diagrams -- Overview -- 9.1 What diagrams are used to show relationships between variables? -- 9.2 When to use diagrams to show relationships between variables -- 9.3 When not to use diagrams to show relationships between variables -- 9.4 Data requirements for diagrams to show relationships between variables -- 9.5 Problems in the use of diagrams to show relationships between variables -- 9.6 The data to be analysed -- 9.7 Entering the data -- 9.8 Weighting the data -- 9.9 Compound (stacked) percentage bar chart -- 9.10 Compound (clustered) bar chart -- Summary of SPSS Statistics steps for bar charts -- 10 Correlation coefficients: Pearson's correlation and Spearman's rho -- Overview -- 10.1 What is a correlation coefficient?. ; 10.2 When to use Pearson and Spearman rho correlation coefficients -- 10.3 When not to use Pearson and Spearman rho correlation coefficients -- 10.4 Data requirements for Pearson and Spearman rho correlation coefficients -- 10.5 Problems in the use of correlation coefficients -- 10.6 The data to be analysed -- 10.7 Entering the data -- 10.8 Pearson's correlation -- 10.9 Interpreting the output -- REPORTING THE OUTPUT -- 10.10 Spearman's rho -- 10.11 Interpreting the output -- REPORTING THE OUTPUT -- 10.12 Scatter diagram -- 10.13 Interpreting the output -- REPORTING THE OUTPUT -- 10.14 Scattergram with more than one case with the same two values -- Summary of SPSS Statistics steps for correlation -- 11 Regression: Prediction with precision -- Overview -- 11.1 What is simple regression? -- 11.2 When to use simple regression -- 11.3 When not to use simple regression -- 11.4 Data requirements for simple regression -- 11.5 Problems in the use of simple regression -- 11.6 The data to be analysed -- 11.7 Entering the data -- 11.8 Simple regression -- 11.9 Interpreting the output -- 11.10 Regression scatterplot -- 11.11 Interpreting the output -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for simple regression -- Part 3 Significance testing and basic inferential tests -- 12 Standard error -- Overview -- 12.1 What is standard error? -- 12.2 When to use standard error -- 12.3 When not to use standard error -- 12.4 Data requirements for standard error -- 12.5 Problems in the use of standard error -- 12.6 The data to be analysed -- 12.7 Entering the data -- 12.8 Estimated standard error of the mean -- 12.9 Interpreting the output -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for standard error -- 13 The t-test: Comparing two samples of correlated/related/paired scores -- Overview -- 13.1 What is the related t-test?. ; 13.2 When to use the related t-test -- 13.3 When not to use the related t-test -- 13.4 Data requirements for the related t-test -- 13.5 Problems in the use of the related t-test -- 13.6 The data to be analysed -- 13.7 Entering the data -- 13.8 Related t-test -- 13.9 Interpreting the output -- REPORTING THE OUTPUT -- Summary of SPSS Statistics steps for related t-test -- 14 The t-test: Comparing two groups of unrelated/uncorrelated scores -- Overview -- 14.1 What is the unrelated t-test? -- 14.2 When to use the unrelated t-test -- 14.3 When not to use the unrelated t-test -- 14.4 Data requirements for the unrelated t-test -- 14.5 Problems in the use of the unrelated t-test -- 14.6 The data to be analysed -- 14.7 Entering the data -- 14.8 Unrelated t-test -- 14.9 Interpreting the output -- REPORTING THE RESULTS -- Summary of SPSS Statistics steps for unrelated t -test -- 15 Confidence intervals -- Overview -- 15.1 What are confidence intervals? -- 15.2 The relationship between significance and confidence intervals -- 15.3 Confidence intervals and limits in SPSS Statistics -- 16 Chi-square: Differences between unrelated samples of frequency data -- Overview -- 16.1 What is chi-square? -- 16.2 When to use chi-square -- 16.3 When not to use chi-square -- 16.4 Data requirements for chi-square -- 16.5 Problems in the use of chi-square -- 16.6 The data to be analysed -- 16.7 Entering the data using the 'Weighting Cases' procedure -- 16.8 Entering the data case by case -- 16.9 Chi-square -- 16.10 Interpreting the output for chi-square -- REPORTING THE OUTPUT -- 16.11 Fisher's exact test -- 16.12 Interpreting the output for Fisher's exact test -- REPORTING THE OUTPUT -- 16.13 One-sample chi-square -- 16.14 Interpreting the output for a one-sample chi-square -- REPORTING THE OUTPUT -- 16.15 Chi-square without ready-made tables. ; Summary of SPSS Statistics steps for chi-square.
• Sommario/riassunto: Introduction to SPSS Statistics in Psychology gives you a straight-forward way of learning to carry out statistical analyses and use SPSS with confidence. This edition is fully updated to include the latest version of SPSS Statistics, and covers the same wide range of statistical tests that made the previous edition such an trusted guide. Clear diagrams and screenshots from SPSS version 22 make the text suitable for beginners while the broad coverage of topics ensures that you can continue to use it as you progress to more advanced techniques.
• Titolo autorizzato: Introduction to SPSS statistics in psychology
• ISBN: 1-292-00073-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910151571103321
• Lo trovi qui: Univ. Federico II