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Using Statistical Methods in Social Science Research

Using Statistical Methods in Social Science Research Author Soleman H. Abu-Bader
ISBN-10 9780190615222
Release 2011-06-01
Pages 394
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In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.



Using Statistical Methods in Social Work Practice

Using Statistical Methods in Social Work Practice Author Soleman H. Abu-Bader
ISBN-10 0925065900
Release 2006
Pages 298
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Presents the tools to help child welfare practitioners and agency managers identify and provide practical and appropriate interventions.



Advanced and Multivariate Statistical Methods for Social Science Research with a Complete SPSS Guide

Advanced and Multivariate Statistical Methods for Social Science Research with a Complete SPSS Guide Author Soleman H. Abu-Bader
ISBN-10 1933478829
Release 2010-01-01
Pages 365
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"Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses. Each chapter discusses the purpose, rationale, and assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussion of how to utilize SPSS to run each test, read its output, interpret, and write the results. Advanced & Multivariate Statistical Methods for Social Science Research is an indispensable resource for students of disciplines as varied as social work, nursing, public health, psychology, and education."--Publisher's website.



Using IBM SPSS Statistics for Research Methods and Social Science Statistics

Using IBM   SPSS   Statistics for Research Methods and Social Science Statistics Author William E. Wagner, III
ISBN-10 9781483351278
Release 2014-03-20
Pages 168
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Now in its Fifth Edition, William Wagner’s Using SPSS for Social Statistics and Research Methods has come to be trusted as a reliable and student-friendly resource for those learning to use the SPSS software for the first time. Ideal as a companion to a statistics or research methods text or as a stand-alone guide, this supplementary text shows readers how to use images and directions drawn from SPSS Version 22.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. It is designed as an ideal manual for SPSS use for social statistics and research methods classes.



Social Science Research Design and Statistics

Social Science Research Design and Statistics Author Alfred P. Rovai
ISBN-10 9780978718688
Release 2013-09-01
Pages 556
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This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. This expanded second edition also features companion website materials including copies of the IBM SPSS datasets used to create the SPSS output presented in the book, and Microsoft PowerPoint presentations that display step-by-step instructions on how to run popular SPSS procedures. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.



Statistics for Research

Statistics for Research Author George Argyrous
ISBN-10 1446245160
Release 2011-01-13
Pages 608
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This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.



Statistical Methods for Practice and Research

Statistical Methods for Practice and Research Author Ajai S Gaur
ISBN-10 9788132102496
Release 2009-05-13
Pages 172
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There is a growing trend these days to use statistical methods to comprehend and explain various situations and phenomena in different disciplines. Managers, social scientists and practicing researchers are increasingly collecting information and applying scientific methods to analyze the data. The ability to use statistical methods and tools becomes a crucial skill for the success of such efforts. This book is designed to assist students, managers, academics and researchers in solving statistical problems using SPSS and to help them understand how they can apply various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. After providing a brief overview of SPSS and basic statistical concepts, the book covers: - Descriptive statistics - t-tests, chi-square tests and ANOVA - Correlation analysis - Multiple and logistics regression - Factor analysis and testing scale reliability - Advanced data handling Illustrated with simple, practical problems, and screen shots, this book outlines the steps for solving statistical problems using SPSS. Although the illustrations are based on version 16.0 of SPSS, users of the earlier versions will find the book equally useful and relevant. Written in a reader-friendly, non-technical style, this book will serve as a companion volume to any statistics textbook.



SPSS Book

SPSS Book Author Matthew J. Zagumny
ISBN-10 9780595189137
Release 2001
Pages 115
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Learning statistical computing using the Statistical Package for Social Sciences (SPSS)r was never easier! The ideal SPSSr manual for students of statistics and social science research. With over 40 screen images, readers will be led step-by-step through uses of SPSSr to analyze data from experimental and correlational research designs. Dr. Zagumny shares his 15 years of experience as a student, teacher, and user of statistics and statistical software. All social scientists should have a copy on their bookshelf.



SPSS for Social Scientists

SPSS for Social Scientists Author Ciaran Acton
ISBN-10 9781137266286
Release 2009-04-07
Pages 336
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SPSS for Social Scientists 2e provides the novice researcher with a step-by-step guide to SPSS – easily the most widely used data analysis package in the social sciences. Written in a clear and non-technical style, the book gives practical guidance that gradually builds up the reader's knowledge, understanding and confidence. Beginning with an overview of quantitative research and introducing the basics of the SPSS package, the book is then split into 'modules' that explain major procedures in SPSS up to Version 17 and beyond. Each module is packed with step-by-step worked examples that provide supportive and structured advice on inputting data, creating graphical presentations and analysing results. With specific guidance on how to manage the exploration, manipulation and transformation of data, the workbook also takes the reader through key statistical techniques, from t-test and cross-tabulation analysis through multiple response analysis and data reduction to multivariate techniques such as loglinear analysis and logistic regression. This new edition is accompanied by a collection of rich and versatile datasets drawn from the International Social Survey Programme (ISSP), which offers a huge variety of international social science data from over 30 countries. Download datasets by clicking on the link 'Datasets for all nations' under 'Downloads' below and you're ready to go. Whether you're a student or a researcher looking to upgrade your skills, this accessible text brings statistical analysis with SPSS to life in a practical and meaningful way.



Adventures in Social Research

Adventures in Social Research Author Earl Babbie
ISBN-10 9781483359595
Release 2015-03-03
Pages 496
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Written by esteemed social science research authors Earl R. Babbie, William E. Wagner, and Jeanne Zaino, Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics, Ninth Edition encourages students to practice SPSS as they read about it, providing a practical, hands-on introduction to conceptualization, measurement, and association through active learning. This fully revised workbook will guide students through step-by-step instruction on data analysis using the latest version of SPSS and the most up to date General Social Survey data. Arranged to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. In this revised edition, active and collaborative learning will be emphasized as students engage in a series of practical investigative exercises.



Statistics for the Social Sciences

Statistics for the Social Sciences Author R. Mark Sirkin
ISBN-10 141290546X
Release 2006
Pages 610
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Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.



Multivariate Analysis for the Biobehavioral and Social Sciences

Multivariate Analysis for the Biobehavioral and Social Sciences Author Bruce L. Brown
ISBN-10 9781118131619
Release 2011-11-01
Pages 496
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An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.



Fundamental Statistics for Social Research

Fundamental Statistics for Social Research Author Duncan Cramer
ISBN-10 9781134693245
Release 2003-09-02
Pages 478
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This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book: * assumes no prior knowledge of statistics or computing * includes a concise introduction to the program SPSS for Windows * describes a wider range of tests than other introductory texts * contains a comprehensive range of exercises with answers Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.



Quantitative Data Analysis Using Spss An Introduction For Health And Social Sciences

Quantitative Data Analysis Using Spss  An Introduction For Health And Social Sciences Author Greasley, Pete
ISBN-10 9780335223053
Release 2007-12-01
Pages 138
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Designed for the complete novice, this title guides you through a sample analysis of survey data and shows you step-by-step how to use SPSS to complete it.



Statistics for Social and Health Research

Statistics for Social and Health Research Author George Argyrous
ISBN-10 0761968180
Release 2000-06-22
Pages 538
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This book explains statistical concepts in a highly readable and accessible way - assuming no formal knowledge of statistics. It uses practical examples from a variety of disciplines, and concentrates on the clear explanation of a wide range of statistical techniques. The book is also a comprehensive introduction and guide to SPSS (up to Version 10), and comes with a useful CD-ROM with sample data sets. Organized so that it offers a clear guide to choosing the appropriate procedure the first edition of this book proved to be very popular across a range of disciplines because of its easy-to-follow style, and simple guide to SPSS. This thoroughly revised and updated international edition builds on those strengths. The book



Basic Statistics in Multivariate Analysis

Basic Statistics in Multivariate Analysis Author Karen A. Randolph
ISBN-10 9780199982141
Release 2013-01-24
Pages 256
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The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.



Emotional Health and Well Being

Emotional Health and Well Being Author Judith Dawkins
ISBN-10 0761943552
Release 2004-05-26
Pages 228
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The authors look at both the risk factors and the protective factors involved in emotional health, and address the impact of issues such as bullying, social exclusion, loss, and bereavement.