SPSS Survival Manual V.12; Julie Pallant; 2004

SPSS Survival Manual V.12 Upplaga 2

av Julie Pallant
A lifeline to students and researchers grappling with SPSS data analysis software This fully revised and updated edition of the SPSS Survival Manual guides readers through the entire research process, helping them choose the right data analysis technique for any project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced statistical techniques. Each technique is clearly outlined, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output, and an example of how to present the results in a report. Statistical techniques covered include: Descriptive statistics Correlation Multiple regression Logistic regression Factor analysis T-tests Analysis of variance Multivariate analysis of variance Analysis of covariance Non-parametric tests Illustrated with screen grabs, examples of output, and tips, the SPSS Survival Manual can be used by researchers at any level across all disciplines. It is supported by a website with sample data and guidelines on report writing and is fully updated for SPSS Version 12.
A lifeline to students and researchers grappling with SPSS data analysis software This fully revised and updated edition of the SPSS Survival Manual guides readers through the entire research process, helping them choose the right data analysis technique for any project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced statistical techniques. Each technique is clearly outlined, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output, and an example of how to present the results in a report. Statistical techniques covered include: Descriptive statistics Correlation Multiple regression Logistic regression Factor analysis T-tests Analysis of variance Multivariate analysis of variance Analysis of covariance Non-parametric tests Illustrated with screen grabs, examples of output, and tips, the SPSS Survival Manual can be used by researchers at any level across all disciplines. It is supported by a website with sample data and guidelines on report writing and is fully updated for SPSS Version 12.
Upplaga: 2a upplagan
Utgiven: 2004
ISBN: 9780335216406
Förlag: Gardners Books
Format: Bok
Språk: Engelska
Sidor: 336 st
A lifeline to students and researchers grappling with SPSS data analysis software This fully revised and updated edition of the SPSS Survival Manual guides readers through the entire research process, helping them choose the right data analysis technique for any project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced statistical techniques. Each technique is clearly outlined, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output, and an example of how to present the results in a report. Statistical techniques covered include: Descriptive statistics Correlation Multiple regression Logistic regression Factor analysis T-tests Analysis of variance Multivariate analysis of variance Analysis of covariance Non-parametric tests Illustrated with screen grabs, examples of output, and tips, the SPSS Survival Manual can be used by researchers at any level across all disciplines. It is supported by a website with sample data and guidelines on report writing and is fully updated for SPSS Version 12.
A lifeline to students and researchers grappling with SPSS data analysis software This fully revised and updated edition of the SPSS Survival Manual guides readers through the entire research process, helping them choose the right data analysis technique for any project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced statistical techniques. Each technique is clearly outlined, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output, and an example of how to present the results in a report. Statistical techniques covered include: Descriptive statistics Correlation Multiple regression Logistic regression Factor analysis T-tests Analysis of variance Multivariate analysis of variance Analysis of covariance Non-parametric tests Illustrated with screen grabs, examples of output, and tips, the SPSS Survival Manual can be used by researchers at any level across all disciplines. It is supported by a website with sample data and guidelines on report writing and is fully updated for SPSS Version 12.
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