E-book
SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS
This is a completely updated edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 21, this text guides you through the entire research process & helps you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, it discusses basic and advanced statistical techniques. It outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report
დამატებითი ინფორმაცია
- ISBN: 9781760875534
- ფიზიკური აღწერილობა: One electronic text (384 pages): PDF.
- Edition: 7th edition
- გამომცემლობა: New York: Routledge, 2020.
წიგნის აღწერილობა
| Formatted Contents Note: | Data files and websiteIntroduction and overviewPart One : Getting startedChapter 1. Designing a studyChapter 2. Preparing a codebookChapter 3 Getting to know IBM SPSS StatisticsPart Two : Preparing the data fileChapter 4. Creating a data file and entering dataChapter 5. Screening and cleaning the dataPart Three : Preliminary analysesChapter 6. Descriptive statisticsChapter 7. Using graphs to describe and explore the dataChapter 8. Manipulating the dataChapter 9. Checking the reliability of a scaleChapter 10. Choosing the right statisticPart Four : Statistical techniques to explore relationships among variablesChapter 11. CorrelationChapter 12. Partial correlationChapter 13. Multiple regressionChapter 14. Logistic regressionChapter 15. Factor analysisPart Five : Statistical techniques to compare groupsChapter 16. Non-parametric statisticsChapter 17. T-testsChapter 18. One-way analysis of varianceChapter 19. Two-way between-groups ANOVAChapter 20. Mixed between-within subjects analysis of varianceChapter 21. Multivariate analysis of varianceChapter 22. Analysis of covarianceAppendix : Details of data files |
| Type of Computer File or Data Note: | ელექტრონული ტექსტი PDF ფორმატში. |
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| მთავარი ბიბლიოთეკა | IBSU . 064 | eBook 000124 | Stacks | Available | - |
Electronic resources
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| 100 | 1 | . | ‡aPallant, Julie |
| 245 | 1 | 0. | ‡aSPSS Survival Manual: A step by step guide to data analysis using IBM SPSS |
| 250 | . | ‡a7th edition | |
| 260 | . | ‡aNew York: ‡bRoutledge, ‡c2020. | |
| 300 | . | ‡aOne electronic text (384 pages): ‡bPDF. | |
| 336 | . | ‡atext ‡btxt ‡2rdacontent | |
| 337 | . | ‡acomputer ‡bc ‡2rdamedia | |
| 338 | . | ‡aonline resource ‡bcr ‡2rdacarrier | |
| 505 | . | ‡aData files and websiteIntroduction and overviewPart One : Getting startedChapter 1. Designing a studyChapter 2. Preparing a codebookChapter 3 Getting to know IBM SPSS StatisticsPart Two : Preparing the data fileChapter 4. Creating a data file and entering dataChapter 5. Screening and cleaning the dataPart Three : Preliminary analysesChapter 6. Descriptive statisticsChapter 7. Using graphs to describe and explore the dataChapter 8. Manipulating the dataChapter 9. Checking the reliability of a scaleChapter 10. Choosing the right statisticPart Four : Statistical techniques to explore relationships among variablesChapter 11. CorrelationChapter 12. Partial correlationChapter 13. Multiple regressionChapter 14. Logistic regressionChapter 15. Factor analysisPart Five : Statistical techniques to compare groupsChapter 16. Non-parametric statisticsChapter 17. T-testsChapter 18. One-way analysis of varianceChapter 19. Two-way between-groups ANOVAChapter 20. Mixed between-within subjects analysis of varianceChapter 21. Multivariate analysis of varianceChapter 22. Analysis of covarianceAppendix : Details of data files | |
| 516 | . | ‡aელექტრონული ტექსტი PDF ფორმატში. | |
| 520 | . | ‡aThis is a completely updated edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 21, this text guides you through the entire research process & helps you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, it discusses basic and advanced statistical techniques. It outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report | |
| 650 | 4. | ‡aComputer science | |
| 650 | 4. | ‡aკომპიუტერული მეცნიერება | |
| 650 | 4. | ‡aElectronic Data Processing | |
| 650 | 4. | ‡aელექტრონული მონაცემთა დამუშავება | |
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