Introduction to Statistics with SPSS for Social Science
1st Edition
Published on 28. July 2017
Book
Hardback
490 pages
978-1-138-45900-7 (ISBN)
Description
This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations. With examples specific to social sciences, this text is essential for any student in this area.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 264 mm
Width: 195 mm
Weight
1080 gr
ISBN-13
978-1-138-45900-7 (9781138459007)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Gareth Norris | Faiza Qureshi | Dennis Howitt
Introduction to Statistics with SPSS for Social Science
E-Book
09/2014
1st Edition
Routledge
€64.49
Available for download
Gareth Norris | Faiza Qureshi | Dennis Howitt
Introduction to Statistics with SPSS for Social Science
E-Book
09/2014
1st Edition
Routledge
€64.49
Available for download
Faiza Qureshi | Gareth Norris | Dennis Howitt
Introduction to Statistics with SPSS for Social Science
Book
05/2012
1st Edition
Routledge
€80.65
Shipment within 3-4 weeks
Persons
Faiza Qureshi
Content
Part One Descriptive Statistics. Chapter 1 Why you need statistics: types of data Chapter2 Describing variables: Tables and diagrams Chapter3 Describing variables numerically: averages, variation and spread Chapter4 Shapes of distributions of scores Chapter 5 - Standard deviation, z-scoresand standard error: the standard unit of measurement in statistics Chapter 6 Relationships between two or more variables: diagrams and tables Chapter 7 Correlation coefficients: Pearson correlation and Spearman?s rho Chapter 8 Regression and standard error Part Two: Comparing Two or More Variables and the Analysis of Variance. Chapter 9 - The analysis of a questionnaire/survey project Chapter 10 The related t-test: Comparing two samples of correlated/related scores Chapter 11 the unrelated t-test: comparing two samples of unrelated/uncorrelated scores Chapter 12 Chi-square: Differences between samples of frequency data Part Three: Introduction to Analysis of Variance Chapter 13 Analysis of variance (ANOVA): introduction to one-way unrelated or uncorrelated ANOVA Chapter 14 Two way analysis of variance for unrelated/uncorrelated scores: two studies for the price of one? Chapter 15 Analysis of covariance (ANCOVA): controlling for additional variables Chapter 16 Multivariate analysis of variance (MANOVA)Part Four: More advanced correlational statistics and techniques Chapter 17 - Partial correlation: spurious correlation, third or confounding variables (control variables), suppressor variables Chapter 18 Factor analysis: simplifying complex data Chapter19 Multiple regression and multiple correlation Chapter 20 Multinomial logistic regression: Distinguishing between several differentcategories or groups Chapter 21 - Bionomial logistic regression Chapter 22 - Log-linear methods: The analysis of complex contingency tables