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Quantitative Data Analysis with Minitab : A Guide for Social Scientists - Alan Bryman

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Quantitative Data Analysis with Minitab

Name: Quantitative Data Analysis with Minitab
Brand: ROUTLEDGE
Price: 86.25 AUD
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A Guide for Social Scientists

By: Alan Bryman, Duncan Cramer

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Paperback | 6 June 1996 | Edition Number 1

At a Glance

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302 Pages

Dimensions(cm)
23.4 x 15.6 x 1.91

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Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version.
Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.
Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

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You Can Find This Book In

Non-Fiction Sociology & Anthropology Sociology Social Research & Statistics Psychology Psychological Methodology Computing & I.T.Databases Data Capture & Analysis Operating Systems Apple Operating Systems Social Theory

Preface
Data Analysis and the Research Process
Analysing Data with Computers: First Steps with Minitab
Analysing Data with Computers: Further Steps with Minitab
Concepts and their Measurement
Summarising Data
Sampling and Statistical Significance
Bivariate Analysis: Exploring Differences between Scores on Two Variables
Bivariate Analysis: Exploring Relationships between Two Variables
Multivariate Analysis: Exploring Differences among Three or more Variables
Multivariate Analysis: Exploring Relationships among Three or More Variables
Aggregating Variables: Exploratory Factor Analysis
Appendices
Answers to Questions
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

Quantitative Data Analysis with Minitab

A Guide for Social Scientists

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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