Fundamental Statistics For The Social Behavioral And Health Sciences
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| Author | : Howard T. Tokunaga |
| Publisher | : SAGE Publications |
| Total Pages | : 740 |
| Release | : 2018-09-12 |
| Genre | : Social Science |
| ISBN | : 1506377467 |
Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of a study’s research hypothesis. Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated. The Second Edition includes a new chapter on regression; covers how collected data can be organized, presented and summarized; the process of conducting statistical analyses to test research questions, hypotheses, and issues/controversies; and examines statistical procedures used in research situations that vary in the number of independent variables in the study. Every chapter includes learning checks, such as review questions and summary boxes, to reinforce the content students just learned, and exercises at the end of every chapter help assess their knowledge. Also new to the Second Edition -- animated video tutorials!
| Author | : Annabel Ness Evans |
| Publisher | : SAGE Publications |
| Total Pages | : 605 |
| Release | : 2013-06-06 |
| Genre | : Social Science |
| ISBN | : 1483323617 |
In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.
| Author | : William E. Wagner, III |
| Publisher | : SAGE Publications |
| Total Pages | : 142 |
| Release | : 2018-02-28 |
| Genre | : Social Science |
| ISBN | : 1544321090 |
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.
| Author | : Jeannine Coreil |
| Publisher | : SAGE |
| Total Pages | : 449 |
| Release | : 2010 |
| Genre | : Medical |
| ISBN | : 1412957044 |
This book is intended as a core textbook for courses in public health that examines current issues in health from a social and behavioral science perspective. It is a cross-disciplinary course (public health, medical sociology, health psychology, medical anthropology) and thus there are many ways to teach the course based on a particular instructor's perspective. The authors wrote the book because they were dissatisfied with the way other texts apply social science to public health and found that many texts being used were from related fields such as medicine, nursing or general health.The authors are planning to do a major revision based on reviews they have collected and the reviews we have collected. We believe the revised edition will essentially be a new text based on rich feedback. They will include new theory, new cases, new research, and a rich ancillary package. They will also reduce the frameworks presented to make the book more readable to students.
| Author | : Bruno D. Zumbo |
| Publisher | : Springer |
| Total Pages | : 329 |
| Release | : 2014-09-26 |
| Genre | : Social Science |
| ISBN | : 3319077945 |
This book combines an overview of validity theory, trends in validation practices and a review of standards and guidelines in several international jurisdictions with research synthesis of the validity evidence in different research areas. An overview of theory is both useful and timely, in view of the increased use of tests and measures for decision-making, ranking and policy purposes in large-scale testing, assessment and social indicators and quality of life research. Research synthesis is needed to help us assemble, critically appraise and integrate the overwhelming volume of research on validity in different contexts. Rather than examining whether any given measure is “valid”, the focus is on a critical appraisal of the kinds of validity evidence reported in the published research literature. The five sources of validity evidence discussed are: content-related, response processes, internal structure, associations with other variables and consequences. The 15 syntheses included here, represent a broad sampling of psychosocial, health, medical and educational research settings, giving us an extensive evidential basis to build upon earlier studies. The book concludes with a meta-synthesis of the 15 syntheses and a discussion of the current thinking of validation practices by leading experts in the field.
| Author | : Miguel A. Padilla |
| Publisher | : Cognella Academic Publishing |
| Total Pages | : |
| Release | : 2022-02-27 |
| Genre | : |
| ISBN | : 9781793584014 |
Fundamental Statistics for the Social, Behavioral, and Health Sciences presents students with instructional material in a clear, concise manner and features exercises that get students thinking about how to use statistics in applied settings. The text opens with coverage of foundational concepts in descriptive statistics, including frequency distribution, central tendency, and variability. Additional chapters guide students through their first journey into inferential statistics. The book is highly accessible, features clear examples and graphs, and challenges students to apply what they learn to a variety of situations. It includes step-by-step instructions on using IBM SPSS Statistics. The revised second edition includes new tables that illustrate effect sizes for t-tests. Additionally, the second edition includes small text corrections throughout and updated interior design to increase readability. Fundamental Statistics for the Social, Behavioral, and Health Sciences is an ideal resource for foundational courses in statistics.
| Author | : Xiaofeng Steven Liu |
| Publisher | : Routledge |
| Total Pages | : 285 |
| Release | : 2013-11-07 |
| Genre | : Psychology |
| ISBN | : 1136464182 |
This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.
| Author | : George Diekhoff |
| Publisher | : Macmillan College |
| Total Pages | : 244 |
| Release | : 1996 |
| Genre | : Mathematics |
| ISBN | : |
Focusing on principles and techniques that are appropriate for the introductory level, this text provides a conceptual, intuitive approach to applied statistics that replaces proofs and derivations with examples and illustrations. The focus throughout is on the usefulness of statistics and content is organized according to statistical applications, not statistical assumptions.
| Author | : Renee R. Ha |
| Publisher | : SAGE |
| Total Pages | : 433 |
| Release | : 2011-04-04 |
| Genre | : Mathematics |
| ISBN | : 1452237298 |
Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.
| Author | : Barry H. Cohen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 312 |
| Release | : 2004 |
| Genre | : Psychology |
| ISBN | : |
Summarizing the material ordinarily covered in an introductory statistics course, this handbook introduces basic concepts and statistical methods. It also offers practical advice concerning the selection of procedures, demonstrates the means of evaluating and interpreting data, provides numerous formulas, and supplies a variety of worked examples. The authors teach psychology at New York University and Macalester College. Annotation ♭2004 Book News, Inc., Portland, OR (booknews.com).
