A Guide for Selecting Statistical Techniques for Analyzing Social Science Data

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Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (935 download)

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Book Synopsis A Guide for Selecting Statistical Techniques for Analyzing Social Science Data by :

Download or read book A Guide for Selecting Statistical Techniques for Analyzing Social Science Data written by and published by . This book was released on 1971 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Guide for Selecting Statistical Techniques for Analyzing Social Science Data

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Publisher :
ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis A Guide for Selecting Statistical Techniques for Analyzing Social Science Data by : Frank M. Andrews

Download or read book A Guide for Selecting Statistical Techniques for Analyzing Social Science Data written by Frank M. Andrews and published by . This book was released on 1981 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Guide for Selecting Statistical Techniques for Analyzing Social Science Data

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Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (5 download)

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Book Synopsis A Guide for Selecting Statistical Techniques for Analyzing Social Science Data by : F. M. Andrews

Download or read book A Guide for Selecting Statistical Techniques for Analyzing Social Science Data written by F. M. Andrews and published by . This book was released on 1974 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Guide for Selecting Statistical Techniques for Analyzing Social Science Data. Second Edition

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Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (173 download)

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Book Synopsis A Guide for Selecting Statistical Techniques for Analyzing Social Science Data. Second Edition by : Frank M. Andrews

Download or read book A Guide for Selecting Statistical Techniques for Analyzing Social Science Data. Second Edition written by Frank M. Andrews and published by . This book was released on 1981 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Guide for Selecting Statistical Techniques for Analysing Social Science Data

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis A Guide for Selecting Statistical Techniques for Analysing Social Science Data by : Frank M. Andrews

Download or read book A Guide for Selecting Statistical Techniques for Analysing Social Science Data written by Frank M. Andrews and published by . This book was released on 1974 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Using Statistical Methods in Social Science Research

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Publisher : Oxford University Press
ISBN 13 : 0190685352
Total Pages : 395 pages
Book Rating : 4.1/5 (96 download)

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Book Synopsis Using Statistical Methods in Social Science Research by : Soleman H. Abu-Bader

Download or read book Using Statistical Methods in Social Science Research written by Soleman H. Abu-Bader and published by Oxford University Press. This book was released on 2011-07-01 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Selecting Statistical Techniques for Social Science Data

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Publisher : SAS Press
ISBN 13 : 9781580251181
Total Pages : 102 pages
Book Rating : 4.2/5 (511 download)

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Book Synopsis Selecting Statistical Techniques for Social Science Data by : Frank M. Andrews

Download or read book Selecting Statistical Techniques for Social Science Data written by Frank M. Andrews and published by SAS Press. This book was released on 1998 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take the guesswork out of selecting a statistical technique for social science data! This guide will help you select from the vast array of statistical techniques that can be applied in a particular analysis. It addresses social scientists, data analysts, and graduate students who have some knowledge of social science statistics and who want a systematic, highly condensed overview of many of the statistical techniques in current use and the purposes for which each is intended. Originally published in 1971, this guide has been updated to incorporate current statistical and analytical developments. In addition, you'll find a summary of how each of the techniques is provided through SAS software.

Understanding Social Science Research

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Publisher : SAGE
ISBN 13 : 9780761973690
Total Pages : 290 pages
Book Rating : 4.9/5 (736 download)

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Book Synopsis Understanding Social Science Research by : Thomas R Black

Download or read book Understanding Social Science Research written by Thomas R Black and published by SAGE. This book was released on 2002 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached? Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.

Data Analysis for Social Science

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Publisher : Princeton University Press
ISBN 13 : 0691199434
Total Pages : 256 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Data Analysis for Social Science by : Elena Llaudet

Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-11-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Multivariate Analysis Techniques in Social Science Research

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Publisher : SAGE
ISBN 13 : 9780761952732
Total Pages : 430 pages
Book Rating : 4.9/5 (527 download)

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Book Synopsis Multivariate Analysis Techniques in Social Science Research by : Jacques Tacq

Download or read book Multivariate Analysis Techniques in Social Science Research written by Jacques Tacq and published by SAGE. This book was released on 1997-02-12 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tacq demonstrates how a researcher comes to the appropriate choice of a technique for multivariate analysis. He examines a wide selection of topics from a range of disciplines including sociology, psychology, economics, and political science.

Basic Epidemiological Methods and Biostatistics

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Publisher : Jones & Bartlett Learning
ISBN 13 : 9780867208696
Total Pages : 452 pages
Book Rating : 4.2/5 (86 download)

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Book Synopsis Basic Epidemiological Methods and Biostatistics by : Randy M. Page

Download or read book Basic Epidemiological Methods and Biostatistics written by Randy M. Page and published by Jones & Bartlett Learning. This book was released on 1995 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is an easy-to-understand, application-oriented guidebook for learning the basic principles of epidemiologic investigation. Numerous opportunities are presented to apply and test learning through problems and application exercises. Answers are provided.

Statistics for Social Sciences

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Publisher : SAGE Publishing India
ISBN 13 : 9351506568
Total Pages : 309 pages
Book Rating : 4.3/5 (515 download)

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Book Synopsis Statistics for Social Sciences by : T. Rajaretnam

Download or read book Statistics for Social Sciences written by T. Rajaretnam and published by SAGE Publishing India. This book was released on 2015-12-08 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences. Topical and up-to-date, it examines: • different types of statistical variables and their treatment • tabulation and graphical presentation of data • theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio • linear regression including checking for violation of assumptions, transformations of variables and predictions • inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others. It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.

Statistical Analysis Quick Reference Guidebook

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Publisher : SAGE
ISBN 13 : 9781412925600
Total Pages : 280 pages
Book Rating : 4.9/5 (256 download)

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Book Synopsis Statistical Analysis Quick Reference Guidebook by : Alan C. Elliott

Download or read book Statistical Analysis Quick Reference Guidebook written by Alan C. Elliott and published by SAGE. This book was released on 2007 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Methods for the Social and Behavioural Sciences

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Publisher : SAGE
ISBN 13 : 1526421925
Total Pages : 786 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Statistical Methods for the Social and Behavioural Sciences by : David B. Flora

Download or read book Statistical Methods for the Social and Behavioural Sciences written by David B. Flora and published by SAGE. This book was released on 2017-12-11 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.

Big Data and Social Science

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Publisher : CRC Press
ISBN 13 : 1498751415
Total Pages : 377 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data and Social Science by : Ian Foster

Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-09-15 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

Applied Multivariate Statistics for the Social Sciences

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Publisher : Routledge
ISBN 13 : 1317805925
Total Pages : 814 pages
Book Rating : 4.3/5 (178 download)

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Book Synopsis Applied Multivariate Statistics for the Social Sciences by : Keenan A. Pituch

Download or read book Applied Multivariate Statistics for the Social Sciences written by Keenan A. Pituch and published by Routledge. This book was released on 2015-12-07 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises) Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Statistical Data Analysis

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Publisher : Oxford University Press
ISBN 13 : 0198501560
Total Pages : 218 pages
Book Rating : 4.1/5 (985 download)

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Book Synopsis Statistical Data Analysis by : Glen Cowan

Download or read book Statistical Data Analysis written by Glen Cowan and published by Oxford University Press. This book was released on 1998 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).