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Introduction to Statistics with SPSS for Social Science

Autor Faiza Qureshi, Gareth Norris, Dennis Howitt, Duncan Cramer
en Limba Engleză Paperback – 31 mai 2012
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.
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Specificații

ISBN-13: 9781408237595
ISBN-10: 1408237598
Pagini: 490
Dimensiuni: 195 x 265 x 25 mm
Greutate: 0.92 kg
Ediția:New.
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Cuprins

Part One – Descriptive Statistics.
  • Chapter 1 – Why you need statistics: types of data
  • Chapter 2 – Describing variables: Tables and diagrams
  • Chapter 3 – Describing variables numerically: averages, variation and spread
  • Chapter 4 – Shapes of distributions of scores
  • Chapter 5 - Standard deviation, z-scores and 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
  • Chapter 19 – Multiple regression and multiple correlation
  • Chapter 20 – Multinomial logistic regression: Distinguishing between several different categories or groups
  • Chapter 21 - Bionomial logistic regression
  • Chapter 22 - Log-linear methods: The analysis of complex contingency tables

Descriere

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.