This book presents statistical concepts and techniques in simple, everyday language to help readers gain a better understanding of how they work and how to interpret them correctly. Each self-contained chapter features a description of the statistic including how it is used and the information it provides, how to calculate the formula, the strengths and weaknesses of each technique, the conditions needed for its use, and an example that uses and interprets the statistic. A glossary of terms and symbols is also included along with an Interactive CD with PowerPoint presentations and problems and solutions for each chapter.
This brief paperback is an ideal supplement for statistics, research methods, or any course that uses statistics, or as a handy reference tool to refresh one's memory about key concepts. The actual research examples are from a variety of fields, including psychology and education.
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This book helps students learn to analyze and interpret research data using SPSS 15.0 by demonstrating how to produce a variety of statistics reviewed in intermediate statistics courses. The new edition features SPSS 15.0, but the book can also be used with earlier or future versions of SPSS. Each chapter introduces several related statistics and provides instructions on how to run them and interpret the outputs. Each statistic is described in a user-friendly, nontechnical manner. The book reviews research designs and how to assess the reliability and validity of data. The authors demonstrate how to choose the appropriate statistic based on the research design, use SPSS to answer research questions, and interpret and write about SPSS outputs. The examples use real data and are contained on the book’s CD.
SPSS for Intermediate Statistics, Third Edition, provides:
· The key SPSS windows needed to perform the analyses
· Complete outputs of what students can expect to produce with call-out boxes to highlight what to focus on
· Interpretation sections and questions to help students better understand the output and write about the results
· Charts and tables to help select an appropriate statistic and interpret statistical significance and effect sizes
· Lab assignments organized around the way students proceed when they prepare their data for a research project
· Appendices on getting started with SPSS, a brief review of basic statistics, and answers to the odd-numbered interpretation questions
· Two data sets on the book’s CD along with syntax, and outputs, for those who prefer this format.
Highlights of the new edition include:
· References SPSS Version 15 throughout
· Each chapter now includes four extra SPSS problems for additional testing of the concepts
· A new chapter on HLM analysis with SPSS
· Post-hoc tests in addition to contrasts in the Factorial ANOVA and ANCOVA chapter
· New coverage of odd ratios and effect sizes for logistic and discriminant analyses
· How to compute and interpret post-hoc power is now demonstrated for each statistic
· An expanded appendix on getting started with SPPS with instructions on how to: create a working file from the book’s CD; open and start SPSS and use the data editor; set up one’s computer to print the syntax or log along with each output; work with the output; export the files to Excel, Word, HTML, or PDF; convert variables to standardized variables; select cases; and split and merge files.
This inexpensive paperback is intended as a supplemental text for advanced undergraduate or graduate courses on intermediate/advanced statistics and/or research methods taught in departments of psychology, education, and other applied and health sciences.
This brief paperback is intended as a supplement for statistics or research methods courses, or for any course that uses statistics, or as a reference book to refresh one's memory about statistical concepts. The examples are varied so that it can be used in departments of psychology, education, and other social sciences.concepts and techniques in simple, understandable language. Each chapter is a self-contained unit that is comprised of three sections. The first section provides a brief description of the statistic, including what it is used for and what information it provides. The second section contains information about how the statistic works, how the formula for calculating the statistic works, the strengths and weaknesses of the technique, and the conditions that must exist to use the statistic. Finally, each chapter concludes with an example in which the statistic is used and interpreted.
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