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Statistics for Social Sciences, 2/e

Statistics for Social Sciences, 2/e

Statistics for Social Sciences, 2/e

How to Handle and Analyse Data in Social Sciences

  • By: Ian Hosker

₹265.50 ₹295.00 Save: ₹29.50 (10%)

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ISBN: 9789385919435

Bind: Paperback

Year: 2016

Pages: 160

Size: 140 x 216 mm

Publisher: Studymates Limited

Published in India by: Viva Books

Exclusive Distributors: Viva Books

Sales Territory: India, Nepal, Pakistan, Bangladesh, Sri Lanka


Ideal for all students of social sciences and humanities who need to handle data.
Who else wants to produce sparkling fieldwork or coursework in social science?  Are you studying psychology, sociology, geography or any subject with a significant data handling component?  Then this is the book for you. Written by a highly experienced and sympathetic teacher, this book will take you step-by-step through all of the requirements to produce high quality work.

The book explains:

  • Data management and Initial data exploration
  • Developing and testing a hypothesis
  • Exploring and testing relationship
  • Probability and Populations
  • Scales and Indices
  • Questionnaire design

Target Audience:

UG level students in the area of Social Science.



List of illustrations • Preface
Chapter 1: Probability • The Underlying Principles •  Probably or probability •  • The likelihood of an event • The probability of multiple events • The addition rule • Sources of error
Chapter 2: Populations and Sampling • The nature of a population • Sampling a population
Chapter 3: Managing Your Data • What is a number?  • Using computers to manage data • Cleaning up your database • Cells, records and variables
Chapter 4: Research Questions, Concepts and Operationalism • The hypothesis • Operationalising a concept • Selecting measurable indicators • Refining your research question
Chapter 5: Indices and Scales • Indices • Scales • The semantic differential • Rating and ranking
Chapter 6: Questionnaire Design •  Reliability and validity • Structuring the questions • Structuring the questionnaire • Pitfalls with questionnaires • The covering letter • Piloting the questionnaire
Chapter 7: Summarising Your Data: Frequency Tables and Charts • Univariate analysis • Frequency tables • Displaying data with charts and tables
Chapter 8: Summarising Your Data: Central Tendency and Dispersion •  Number type • Measures of central tendency • Measures of dispersion • Standard error of measurement (se) • Using SPSS and Excel
Chapter 9: Hypothesis testing • Hypothesis Testing • Causal and associative relationships • The null-hypothesis v the research hypothesis • Tests of statistical significance • Parametric tests • Non-parametric tests
Chapter 10: Exploring Bivariate Analysis • Bivariate analysis • Bivariate (or contingency) tables • Creating the variable categories • The strength of a relationship-correlation • Linear regression
Chapter 11: Multivariate Analysis • Multivariate analysis • Partial correlation • Multiple regression • Using control variables in bivariate tables
Websites for Social Science students • Index


About the Author:

Ian Hosker is a former lecturer in applied science and is highly experienced in preparing students to successfully pass undergraduate level examinations. He now works as an industrial consultant on data handling. He lives with his family in the west of England.


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