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    Statistics for Social Sciences: How to Handle and Analyse Data in Social Sciences (In-Focus) (Paperback) By (author) Ian Hosker, Edited by Dr. Graham Lawler

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    DescriptionWho else wants to produce top quality work in social sciences? To do so you need to understand how to use statistics within social science and that is where this book can help. This book takes you to the heart of the concepts and shows you how to use these ideas in your own work. In the book the author, an experienced and sympathetic teacher with years of experience in preparing students for examinations in this field, explains clearly how to use all of the techniques to analyse your own data. This book includes explanations on: Probability and Populations; Data management & Initial data exploration; Developing & testing a hypothesis; Exploring relationships/variables 1 and 2; Scales and indices; Questionnaire survey design; Secondary data resources; and, Data analysis exercises.

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  • Full bibliographic data for Statistics for Social Sciences

    Statistics for Social Sciences
    How to Handle and Analyse Data in Social Sciences
    Authors and contributors
    By (author) Ian Hosker, Edited by Dr. Graham Lawler
    Physical properties
    Format: Paperback
    Number of pages: 160
    Width: 135 mm
    Height: 215 mm
    Thickness: 6 mm
    Weight: 218 g
    ISBN 13: 9781842850916
    ISBN 10: 1842850911

    B&T Book Type: NF
    BIC E4L: SOC
    B&T Merchandise Category: TXT
    Nielsen BookScan Product Class 3: S3.1T
    B&T Modifier: Region of Publication: 03
    B&T General Subject: 750
    BIC subject category V2: JHBC, PBT
    Warengruppen-Systematik des deutschen Buchhandels: 16280
    BISAC V2.8: SOC019000
    LC classification: HA
    BISAC V2.8: SOC027000
    Abridged Dewey: 310
    DC22: 300.727
    2, Revised
    Edition statement
    2nd Revised edition
    Glmp Ltd
    Imprint name
    Publication date
    30 December 2008
    Publication City/Country
    Author Information
    Ian Hosker MSc gained his Masters Degree at Plymouth University. A former Lecturer in Applied Science, he is presently an industrial consultant to many major companies, on data handling. Ian Hosker lives with his family in Devon where he enjoys long country walks with his wife and partner.
    Table of contents
    1 Probability- The Underlying principles-probably or probability?-the likelihood of an event-the probability of multiple events-the addition rule-the multiplication rule-the probability of failure-Sources of error2 Populations and Sampling-The nature of population-Sampling a population3 Managing your data-What is a number?-Using computers to manage data-Cleaning up your database-Cells, records and variables4 Research, Questions, Concepts and Operationalism- The hypothesis-Operationalising a concept-Selecting measurable indicators-Refining your research question5 Indices and scales- Indices-scales-the semantic differential- rating and ranking6 Questionnaire design-Reliability and validity-structuring the questions-structuring the questionnaire-pitfalls in questionnaire design-the covering letter-piloting the questionnaire7 Summarising your data: frequency tables and charts-univariate analysis-frequency tables-displaying data with charts and tables8 Summarising your data: Central tendency and dispersion-Number type-measures of central tendency-standard error of measurement(se)-Using SPSS and Excel9 Hypothesis Testing-hypothesis testing- casual and associative relationships-the null hypothesis v the research hypothesis-tests of statistical significance-parametric tests- non-parametric tests10 Exploring bivariate analysis and Multi variate analysis-Bivariate analysis-Bivariate or contingency tables-creating the variable categories-the strength of a relationship - correlation-linear regression-multivariate analysis-partial correlation-multiple regression-using control variables in bivariate tables4 Research questions