Interpreting and Using Statistics in Psychological Research

2016-08-30
Interpreting and Using Statistics in Psychological Research

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  • Author: Andrew N. Christopher
  • Publisher: SAGE Publications
  • ISBN: 150630415X
  • Category : Psychology
  • Languages : en
  • Pages : 585

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Interpreting and Using Statistics in Psychological Research

2017
Interpreting and Using Statistics in Psychological Research

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  • Author: Andrew N. Christopher
  • Publisher:
  • ISBN: 9781506304144
  • Category : Psychometrics
  • Languages : en
  • Pages : 557

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences

2018-02-28
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences

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  • Author: William E. Wagner, III
  • Publisher: SAGE Publications
  • ISBN: 1544321090
  • Category : Social Science
  • Languages : en
  • Pages : 142

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.

Interpreting and Using Statistics in Psychological Research

2016-08-30
Interpreting and Using Statistics in Psychological Research

PDF Interpreting and Using Statistics in Psychological Research Download

  • Author: Andrew N. Christopher
  • Publisher: SAGE Publications
  • ISBN: 1506304184
  • Category : Psychology
  • Languages : en
  • Pages : 554

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Interpreting Quantitative Data with SPSS

2003-01-22
Interpreting Quantitative Data with SPSS

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  • Author: Rachad Antonius
  • Publisher: SAGE
  • ISBN: 9780761973997
  • Category : Social Science
  • Languages : en
  • Pages : 336

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.

Understanding and Using Statistics in Psychology

2007-04-06
Understanding and Using Statistics in Psychology

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  • Author: Jeremy Miles
  • Publisher: SAGE
  • ISBN: 9780761943976
  • Category : Psychology
  • Languages : en
  • Pages : 374

Taking a non-technical approach, 'Understanding and Using Statistics in Psychology' encourages the reader to understand why a particular test is being used and what the results mean in the context of a psychological study, focusing on meaning and understanding rather than mindless numerical calculations.

Learning Statistics with R

2013-01-13
Learning Statistics with R

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  • Author: Daniel Navarro
  • Publisher: Lulu.com
  • ISBN: 1326189727
  • Category : Computers
  • Languages : en
  • Pages : 617

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Using and Interpreting Statistics

2016-03-17
Using and Interpreting Statistics

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  • Author: Eric W. Corty
  • Publisher: Macmillan Higher Education
  • ISBN: 131902890X
  • Category : Psychology
  • Languages : en
  • Pages : 804

Eric Corty’s engaging textbook is exceptionally well suited for behavioral science students studying statistical practice in their field for the first time. An award-winning master teacher, Corty speaks to students in their language, with an approachable voice that conveys the basics of collecting and understanding statistical data step by step. Examples come from the behavioral and social sciences, as well as from recognizable aspects of everyday life to help students see the relevance of what they are studying.

Understanding Social Statistics

2006-03-02
Understanding Social Statistics

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  • Author: Jane L. Fielding
  • Publisher: SAGE
  • ISBN: 9781412910538
  • Category : Reference
  • Languages : en
  • Pages : 368

`This book is highly recommended for libraries and departments to adopt. If I had to teach a statistics class for sociology students this would be a book I would surely choose. The book achieves two very important goals: it teaches students a software package and trains them in the statistical analysis of sociological data′ - Journal of Applied Statistics This fully revised, expanded and updated Second Edition of the best-selling textbook by Jane Fielding and Nigel Gilbert provides a comprehensive yet accessible guide to quantitative data analysis. Designed to help take the fear out of the use of numbers in social research, this textbook introduces students to statistics as a powerful means of revealing patterns in human behaviour. The textbook covers everything typically included in an introductory course on social statistics for students in the social sciences and the authors have taken the opportunity of this Second Edition to bring the data sources as current as possible. The book is full of up-to-date examples and useful and clear illustrations using the latest SPSS software. While maintaining the student-friendly elements of the first, such as chapter summaries, exercises at the end of each chapter, and a glossary of key terms, new features to this edition include: - Updated examples and references SPSS coverage and screen-shots now incorporate the current version 14.0 and are used to demonstrate the latest social statistics datasets; - Additions to content include a brand new section on developing a coding frame and an additional discussion of weighting counts as a means of analyzing published statistics; - Enhanced design aids navigation which is further simplified by the addition of core objectives for each chapter and bullet-pointed chapter summaries; - The updated Website at http:/www.soc.surrey.ac.uk/uss/index.html reflects changes made to the text and provides updated datasets; A valuable and practical guide for students dealing with the large amounts of data that are typically collected in social surveys, the Second Edition of Understanding Social Statistics is an essential textbook for courses on statistics and quantitative research across the social sciences.

Interpreting Basic Statistics

2017-08-09
Interpreting Basic Statistics

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  • Author: Zealure C. Holcomb
  • Publisher: Routledge
  • ISBN: 1351847503
  • Category : Psychology
  • Languages : en
  • Pages : 380

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. New to the eighth edition: A broader array of basic statistical concepts is covered, especially to better reflect the New Statistics. Journal excerpts have been updated to reflect current styles in statistical reporting. A stronger emphasis on data visualizations has been added. The statistical exercises have been re-organized into units to facilitate ease of use and understanding. About this book Each of the 64 exercises gives a brief excerpt of statistical reporting from a published research article, and begins with guidelines for interpreting the statistics in the excerpt. The questions on the excerpts promote learning by requiring students to interpret information in tables and figures, perform simple calculations to further their interpretations, critique data-reporting techniques, and evaluate procedures used to collect data. Each exercise covers a limited number of statistics, making it easy to coordinate the exercises with lectures and a main textbook. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations.