Author : Kathrynn A. Adams
Publisher : SAGE Publications
Page : 377 pages
File Size : 25,61 MB
Release : 2018-02-20
Category : Education
ISBN : 1544318685
Written by Eva Lawrence and Kathrynn Adams, this study guide provides instructions for performing statistical calculations in IBM(R) SPSS (R) along with additional exercises to reinforce concepts in the text. It follows the main text, chapter by chapter, for easy assigning and studying.
Author : Kathrynn A. Adams
Publisher : SAGE Publications
Page : 281 pages
File Size : 45,69 MB
Release : 2022-01-17
Category : Education
ISBN : 1071817922
Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications 3e gives students opportunities to practice and apply their knowledge. Written by the authors of the main text, this study guide follows the textbook and offers practice quizzes, in-depth exercises, research application questions, and instructions and exercises for SPSS.
Author : Rachad Antonius
Publisher : SAGE
Page : 336 pages
File Size : 19,10 MB
Release : 2003-01-22
Category : Social Science
ISBN : 9780761973997
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Author : Kathrynn A. Adams
Publisher : SAGE Publications
Page : 607 pages
File Size : 36,98 MB
Release : 2018-02-26
Category : Social Science
ISBN : 150635047X
One of the greatest strengths of this text is the consistent integration of research methods and statistics so that students can better understand how the research process requires the combination of these elements. The end goal is to spark students′ interest in conducting research and to increase their ability to critically analyze it. In the new second edition of the text, Katherine Adams and Eva Lawrence have integrated additional information on online data collection and research methods, additional coverage of regression and ANOVA, and new examples to engage students.
Author : David Kremelberg
Publisher : SAGE Publications
Page : 529 pages
File Size : 35,88 MB
Release : 2010-03-18
Category : Social Science
ISBN : 150631791X
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Author : Alfred P. Rovai
Publisher :
Page : 540 pages
File Size : 50,97 MB
Release : 2012-09-01
Category : Computers
ISBN : 9780978718695
This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. 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.
Author : Eelko Huizingh
Publisher : SAGE
Page : 368 pages
File Size : 30,65 MB
Release : 2007-01-24
Category : Social Science
ISBN : 1446223000
Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text′s self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Author : Herschel Knapp
Publisher : SAGE Publications
Page : 381 pages
File Size : 23,74 MB
Release : 2017-09-14
Category : Social Science
ISBN : 1506377416
What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.
Author : Robert P Burns
Publisher : SAGE
Page : 557 pages
File Size : 17,18 MB
Release : 2008-11-20
Category : Business & Economics
ISBN : 1446204766
Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently
Author : Niels Blunch
Publisher : SAGE
Page : 314 pages
File Size : 29,47 MB
Release : 2012-11-09
Category : Reference
ISBN : 1446271846
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark
