Parametric & Nonparametric Data Analysis for Social Research: IBM SPSS

Hary Gunarto

ISBN 10: 6200118728 / ISBN 13: 9786200118721

Published by LAP LAMBERT Academic Publishing Jun 2019, 2019

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -'Parametric & Non-parametric Data Analysis for Social Research : IBM SPSS' offers students in business and social sciences an introduction to basic statistics. It presents how data analysis and statistical processing provide information & solutions to some practical problems. With many cases and exercises in each chapter, this text is easy to understand on common statistical methods to create data summary, report & interpretations using IBM SPSS software. This text consists of 7 comprehensive chapters on parametric and non-parametric statistics and covers nominal, ordinal and continuous data, descriptive statistics, histogram, graphs/plot/charts, parametric/ normality test and level of significance. The text also discusses hypothesis testing for dependent and independent samples and analysis of variance. The author also discusses on correlation among variables and relationship between two numeric variables (simple and logistic regression) as well as potentially nonlinear relationships among more than two independent variables (multiple regression). The last 2 chapters introduce time-series and factor analysis which can be applied to most common data in business & social research. 156 pp. Englisch.

Seller Inventory # 9786200118721

Bibliographic Details

• Title: Parametric & Nonparametric Data Analysis for Social Research: IBM SPSS
• Publisher: LAP LAMBERT Academic Publishing Jun 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 6200118728
• ISBN 13: 9786200118721
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams

About this title

Synopsis

“Parametric & Non-parametric Data Analysis for Social Research : IBM SPSS” offers students in business and social sciences an introduction to basic statistics. It presents how data analysis and statistical processing provide information & solutions to some practical problems. With many cases and exercises in each chapter, this text is easy to understand on common statistical methods to create data summary, report & interpretations using IBM SPSS software. This text consists of 7 comprehensive chapters on parametric and non-parametric statistics and covers nominal, ordinal and continuous data, descriptive statistics, histogram, graphs/plot/charts, parametric/ normality test and level of significance. The text also discusses hypothesis testing for dependent and independent samples and analysis of variance. The author also discusses on correlation among variables and relationship between two numeric variables (simple and logistic regression) as well as potentially nonlinear relationships among more than two independent variables (multiple regression). The last 2 chapters introduce time-series and factor analysis which can be applied to most common data in business & social research.