Using SPSS for Social Statistics and Research Methods

Author: William E. Wagner III

Publisher: Pine Forge Press

ISBN: 1412973333

Category: Social Science

Page: 115

View: 2382

Using SPSS for Social Statistics and Research Methods is a guide for those interested in using SPSS software to aid in statistical data analysis. It can be used as a companion to a statistics or research methods course, or as a stand-alone guide. It is a useful guide for students working independently on a research proposal, project, or paper. Also, it is an excellent resource for instructors to use with some or all of the lab components of their course. All of the images and directions used in this book are from SPSS version 17.0.

Data Analysis in Management with SPSS Software

Author: J.P. Verma

Publisher: Springer Science & Business Media

ISBN: 8132207866

Category: Social Science

Page: 482

View: 870

This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.



Publisher: PHI Learning Pvt. Ltd.

ISBN: 8120352483

Category: Social Science

Page: 264

View: 5399

Designed as a text for the undergraduate and postgraduate students of psychology, education, sociology, demography and economics, this comprehensive book explains the theoretical and computational aspects of statistics. Since the students of social sciences often find it difficult to comprehend the statistical techniques due to complex mathematical steps involved, this book explains each concept and related statistical derivations or formulae in a simple and clear manner. The text provides solutions to basic concepts and problems using a number of illustrations. In addition, it demonstrates the simplest way of using SPSS software for statistical analysis. SPSS screen images are used to make the ideas more clear to the readers. This is preceded by theoretical details and solved examples so that even those having minimal knowledge of computer can use SPSS easily and comprehend the complex intermediate steps involved in statistical analysis. Besides the undergraduate and postgraduate students of social sciences, the researchers and professionals in this field should find this book immensely useful. The Second Edition of the book has been prepared on the basis of the feedback received from the readers. As per their demand, a new chapter based on multivariate analysis, i.e., Factor analysis has been introduced. Many other chapters have been modified and updated to make them more effective and simple for the readers. Most importantly, screenshots of the latest version of SPSS have been incorporated in the relevant chapters to keep the students abreast with the developments in tools and techniques of statistics.

Using IBM SPSS Statistics for Social Statistics and Research Methods

Author: William Edward Wagner

Publisher: Pine Forge Press

ISBN: 1412991420

Category: Social Science

Page: 148

View: 4562

Ideal as a companion to a statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods shows readers how to use images and directions drawn from SPSS Version 18.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. This supplementary text is designed as a manual for SPSS use for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. It will also serve as a useful reference for those learning to use the SPSS software for the first time. Features and Benefits: • Offers a fully updated graphics chapter that highlights new features available in SPSS 18.0, including information on alternative routes to creating graphics • Includes updated examples, screenshots and tables throughout • Expanded coverage of output interpretation • Refers to several kinds of computer files, including data files, output files and syntax files • Covers a wide range of data analysis topics to help students who are working independently on a research proposal, project or paper.

Adventures in Social Research

Data Analysis Using IBM SPSS Statistics

Author: Earl R. Babbie,Fred S. Halley,William E. Wagner, III,Jeanne Zaino

Publisher: SAGE

ISBN: 1452205582

Category: Computers

Page: 456

View: 9847

Students taking statistics as part of their social science course

Statistics for the Social Sciences

Author: R. Mark Sirkin

Publisher: SAGE

ISBN: 9781412905466

Category: Mathematics

Page: 610

View: 9282

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.

Understanding Educational Statistics Using Microsoft Excel and SPSS

Author: Martin Lee Abbott

Publisher: John Wiley & Sons

ISBN: 1118627180

Category: Mathematics

Page: 552

View: 8621

Utilizing the latest software, this book presents the essentialstatistical procedures for drawing valuable results from data inthe social sciences. Mobilizing interesting real-world examples from the field ofeducation, Understanding Educational Statistics Using MicrosoftExcel and SPSS supplies a seamless presentation that identifiesvaluable connections between statistical applications and researchdesign. Class-tested to ensure an accessible presentation, the bookcombines clear, step-by-step explanations and the use of softwarepackages that are accessible to both the novice and professionalalike to present the fundamental statistical practices fororganizing, understanding, and drawing conclusions from educationalresearch data. The book begines with an introduction to descriptive andinferential statistics and then proceeds to acquaint readers withthe various functions for working with quantitative data in theMicrosoft Excel environment, such as spreadsheet navigation;sorting and filtering; and creating pivot tables. Subsequentchapters treat the procedures that are commonly-employed whenworking with data across various fields of social science research,including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, eachending with a lab exercise that highlights the importance of thatprocedure by posing a research question, examining the questionthrough its application in Excel and SPSS, and concluding with abrief research report that outlines key findings drawn from theresults. Real-world examples and data from modern educationalresearch are used throughout the book, and a related Web sitefeatures additional data sets, examples, and labs, allowing readersto reinforce their comprehension of the material. Bridging traditional statistical topics with the latest softwareand applications in the field of education, UnderstandingEducational Statistics Using Microsoft Excel and SPSS is anexcellent book for courses on educational research methods andintroductory statistics in the social sciences at theupper-undergraduate and graduate levels. It also serves as avaluable resource for researchers and practitioners in the fieldsof education, psychology, and the social sciences who require astatistical background to work with data in their everydaywork.


eine anwendungsorientierte Einführung

Author: Marko Sarstedt,Tobias Schütz,Sascha Raithel

Publisher: N.A

ISBN: 9783800637812


Page: 196

View: 3663


Statistical Analysis Quick Reference Guidebook

With SPSS Examples

Author: Alan C. Elliott,Wayne A. Woodward

Publisher: SAGE

ISBN: 9781412925600

Category: Social Science

Page: 259

View: 3920

A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.

Statistical Applications for the Behavioral and Social Sciences

Author: K. Paul Nesselroade, Jr,Laurence G. Grimm

Publisher: Wiley

ISBN: 1119355397

Category: Social Science

Page: 960

View: 9517

An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book’s statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: • Contains information regarding the use of statistical software packages; both Excel and SPSS • Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios • Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes • Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences • Puts renewed emphasis on presentation of data and findings using the APA format • Includes supplementary material consisting of a set of “kick-start” quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.

Understanding and Applying Research Design

Author: Martin Lee Abbott,Jennifer McKinney

Publisher: John Wiley & Sons

ISBN: 1118605292

Category: Mathematics

Page: 448

View: 8464

A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design: Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table Analysis Procedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causation Designs of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code. Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.

Using Statistical Methods in Social Science Research

With a Complete SPSS Guide

Author: Soleman H. Abu-Bader

Publisher: Oxford University Press

ISBN: 0190615222

Category: Social Science

Page: 394

View: 2339

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.

Analyzing Quantitative Data

An Introduction for Social Researchers

Author: Debra Wetcher-Hendricks

Publisher: John Wiley & Sons

ISBN: 1118626117

Category: Psychology

Page: 414

View: 9138

A user-friendly, hands-on guide to recognizing and conductingproper research techniques in data collection Offering a unique approach to numerical research methods,Analyzing Quantitative Data: An Introduction for SocialResearchers presents readers with the necessary statisticalapplications for carrying out the key phases of conducting andevaluating a research project. The book guides readers through thesteps of data analysis, from organizing raw data to utilizingdescriptive statistics and tests of significance, drawing validconclusions, and writing research reports. The author successfullyprovides a presentation that is accessible and hands-on rather thanheavily theoretical, outlining the key quantitative processes andthe use of software to successfully draw valid conclusions fromgathered data. In its discussion of methods for organizing data, the bookincludes suggestions for coding and entry into spreadsheets ordatabases while also introducing commonly used descriptivestatistics and clarifying their roles in data analysis. Next,inferential statistics is explored in-depth with explanations ofand instructions for performing chi-square tests, t-tests, analysesof variance, correlation and regression analyses, and a number ofadvanced statistical procedures. Each chapter contains explanationsof when to use the tests described, relevant formulas, and samplecomputations. The book concludes with guidance on extractingmeaningful conclusions from statistical tests and writing researchreports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS®sections provide fundamental instruction for using SPSS® toobtain the results presented. Where necessary, the author providesbasic theoretical explanations for distributions and backgroundinformation regarding formulas. Each chapter concludes withpractice problems, and a related website features derivations ofthe book's formulas along with additional resources for performingthe discussed processes. Analyzing Quantitative Data is an excellent book forsocial sciences courses on data analysis and research methods atthe upper-undergraduate and graduate levels. It also serves as avaluable reference for applied statisticians and practitionersworking in the fields of education, medicine, business and publicservice who analyze, interpret, and evaluate data in their dailywork.

Statistical Methods in Psychiatry Research and SPSS

Author: M. Venkataswamy Reddy

Publisher: CRC Press

ISBN: 177188035X

Category: Mathematics

Page: 350

View: 875

This book has been prepared to help psychiatrists expand their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. The book emphasizes the classification of fundamental statistical methods in psychiatry research that are precise and simple. Professionals in the field of mental health and allied subjects without any mathematical background can easily understand all the relevant statistical methods and carry out the analysis and interpret the results in their respective fields without consulting a statistician. The sequence of the chapters, the sections within the chapters, the subsections within the sections, and the points within the subsections have all been arranged to help professionals in classification refine their knowledge in statistical methods and fill the gaps, if any. Emphasizing simplicity, the fundamental statistical methods are demonstrated by means of arithmetical examples that may be reworked with pencil and paper in a matter of minutes. The results of the rework have to be checked by using SPSS, and in this way professionals are introduced to this psychiatrist-friendly data analysis software. Topics covered include: • An overview of psychiatry research • The organization and collection of data • Descriptive statistics • The basis of statistical inference • Tests of significance • Correlational data analysis • Multivariate data analysis • Meta-analysis • Reporting the results • Statistical software The language of the book is very simple and covers all aspects of statistical methods starting from organization and collection of data to descriptive statistics, statistical inference, multivariate analysis, and meta-analysis. Two chapters on computer applications deal with the most popular data analysis software: SPSS. The book will be very valuable to professionals and post-graduate students in psychiatry and allied fields, such as psychiatric social work, clinical psychology, psychiatric nursing, and mental health education and administration.

Research Design and Statistical Analysis

Third Edition

Author: Jerome L. Myers,Arnold D. Well,Robert F. Lorch Jr

Publisher: Routledge

ISBN: 1135811636

Category: Psychology

Page: 832

View: 9105

Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.

Interpreting Quantitative Data with IBM SPSS Statistics

Author: Rachad Antonius

Publisher: SAGE

ISBN: 144627182X

Category: Social Science

Page: 376

View: 7507

The second edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analysing quantitative data for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how SPSS can be used as a tool to aid analysis. Key features of the second edition include: - new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression. - SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice - sets of exercises and 'real-life' examples to aid teaching and learning - lists of key terms to aid revision and further reading to enhance students' understanding - an improved text design making the book easier to navigate - a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides

IBM SPSS by Example

A Practical Guide to Statistical Data Analysis

Author: Alan C. Elliott,Wayne A. Woodward

Publisher: SAGE Publications

ISBN: 1483319040

Category: Social Science

Page: 368

View: 7117

The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.

A Conceptual Guide to Statistics Using SPSS

Author: Elliot T. Berkman,Steven P. Reise

Publisher: SAGE

ISBN: 1412974062

Category: Computers

Page: 296

View: 5804

This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics.

A Guide to Doing Statistics in Second Language Research Using SPSS and R

Author: Jenifer Larson-Hall

Publisher: Routledge

ISBN: 9781138024564

Category: Education

Page: 528

View: 8029

A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Editionis the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics. For more information and materials, please visit