Statistical Methods for the Social Sciences

Statistical Methods for the Social Sciences
Author: Alan Agresti
Publsiher: Unknown
Total Pages: 591
Release: 2018
ISBN 10: 9780134507101
ISBN 13: 013450710X
Language: EN, FR, DE, ES & NL

Statistical Methods for the Social Sciences Book Review:

For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of "real data." It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics-often a stumbling block for students-while avoiding reliance on an overly simplistic recipe-based approach to statistics.

Statistical Methods for the Social Sciences

Statistical Methods for the Social Sciences
Author: Alan Agresti,Barbara Finlay
Publsiher: Unknown
Total Pages: 576
Release: 2013-07-30
ISBN 10: 9781292021669
ISBN 13: 1292021667
Language: EN, FR, DE, ES & NL

Statistical Methods for the Social Sciences Book Review:

The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. On the other hand, the text is not a cookbook. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. Changes in the Fourth Edition: Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software.

New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences
Author: Rand R. Wilcox
Publsiher: Psychology Press
Total Pages: 442
Release: 2013-05-13
ISBN 10: 1135059764
ISBN 13: 9781135059767
Language: EN, FR, DE, ES & NL

New Statistical Procedures for the Social Sciences Book Review:

This unique volume addresses the inadequacies of basic statistical methods that standard textbooks tend to ignore. The author introduces new procedures with accompanying tables that illustrate the practicality of the methods. Concentrating on basic experimental designs that are central to research in the social sciences, Wilcox describes new nonparametric techniques, two-way ANOVA designs, and new results related to the analysis of covariance and repeated measure design. This book serves as the ideal reference and supplement to standard texts by making the statistical advances of the last thirty years accessible to graduate students and researchers.

Statistical Methods in Social Science Research

Statistical Methods in Social Science Research
Author: S P Mukherjee,Bikas K Sinha,Asis Kumar Chattopadhyay
Publsiher: Springer
Total Pages: 152
Release: 2018-10-05
ISBN 10: 9811321469
ISBN 13: 9789811321467
Language: EN, FR, DE, ES & NL

Statistical Methods in Social Science Research Book Review:

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method – as distinct from a ‘science’ related to any one type of phenomena – is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers.

Statistical Methods for Social Scientists

Statistical Methods for Social Scientists
Author: Eric A Hanushek,John E. Jackson
Publsiher: Academic Press
Total Pages: 374
Release: 2013-10-22
ISBN 10: 0080918573
ISBN 13: 9780080918570
Language: EN, FR, DE, ES & NL

Statistical Methods for Social Scientists Book Review:

The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.

Statistical Methods for the Social and Behavioural Sciences

Statistical Methods for the Social and Behavioural Sciences
Author: David B. Flora
Publsiher: SAGE
Total Pages: 472
Release: 2017-12-11
ISBN 10: 1526421925
ISBN 13: 9781526421920
Language: EN, FR, DE, ES & NL

Statistical Methods for the Social and Behavioural Sciences Book Review:

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.

Using Statistical Methods in Social Science Research

Using Statistical Methods in Social Science Research
Author: Soleman H. Abu-Bader
Publsiher: Oxford University Press
Total Pages: 395
Release: 2011-07-01
ISBN 10: 0190685352
ISBN 13: 9780190685355
Language: EN, FR, DE, ES & NL

Using Statistical Methods in Social Science Research Book Review:

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.

Statistical Analysis for the Social Sciences

Statistical Analysis for the Social Sciences
Author: Norman R. Kurtz
Publsiher: Pearson College Division
Total Pages: 379
Release: 1999
ISBN 10: 1928374650XXX
ISBN 13: NWU:35556027822329
Language: EN, FR, DE, ES & NL

Statistical Analysis for the Social Sciences Book Review:

People are bombarded with statistical data every day, but not many have had training in how to interpret or analyze this information. Kurtz's accessible writing style provides a basic yet sophisticated introduction to understanding and analyzing statistical applications. The book gives careful attention to the flow of ideas and concepts so there is a stream of logic which flows throughout, adding to the book's readability. The book begins with a discussion of methods for describing the distribution of a variable. The introduction of probability avoids the traditional discussion of the basic laws of probability, providing instead an explanation which can be directly applied in the everyday use of statistical probability. The discussion of the book is focused primarily on the relationship of probability to outcomes. Sociologists, psychologists, social workers, political scientists, educators, as well as anyone who wants to analyze data.

Making Sense of Statistical Methods in Social Research

Making Sense of Statistical Methods in Social Research
Author: Keming Yang
Publsiher: SAGE
Total Pages: 216
Release: 2010-03-25
ISBN 10: 1446205592
ISBN 13: 9781446205594
Language: EN, FR, DE, ES & NL

Making Sense of Statistical Methods in Social Research Book Review:

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students' statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward 'how-to' books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.

Statistics for the Social Sciences

Statistics for the Social Sciences
Author: R. Mark Sirkin
Publsiher: SAGE
Total Pages: 610
Release: 2006
ISBN 10: 9781412905466
ISBN 13: 141290546X
Language: EN, FR, DE, ES & NL

Statistics for the Social Sciences Book Review:

This text helps build students' confidence and ability in doing statistical analysis, by slowly moving from concepts that require little computational work to those that require more.

Statistics and Data Analysis for Social Science

Statistics and Data Analysis for Social Science
Author: Eric J. Krieg
Publsiher: SAGE Publications
Total Pages: 456
Release: 2019-07-11
ISBN 10: 1544352689
ISBN 13: 9781544352688
Language: EN, FR, DE, ES & NL

Statistics and Data Analysis for Social Science Book Review:

Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the “how to” of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues—enabling students to broaden their imagination about the statistical “tools” that can be used to make sense of our world and, maybe, to make the world a better place.

Quantitative Methods for the Social Sciences

Quantitative Methods for the Social Sciences
Author: Daniel Stockemer
Publsiher: Springer
Total Pages: 181
Release: 2018-11-19
ISBN 10: 3319991183
ISBN 13: 9783319991184
Language: EN, FR, DE, ES & NL

Quantitative Methods for the Social Sciences Book Review:

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.

Statistics in the Social Sciences

Statistics in the Social Sciences
Author: Stanislav Kolenikov,Lori Thombs,Douglas Steinley
Publsiher: John Wiley & Sons
Total Pages: 288
Release: 2010-02-22
ISBN 10: 9780470583326
ISBN 13: 0470583320
Language: EN, FR, DE, ES & NL

Statistics in the Social Sciences Book Review:

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.

Relative Distribution Methods in the Social Sciences

Relative Distribution Methods in the Social Sciences
Author: Mark S. Handcock,Martina Morris
Publsiher: Springer Science & Business Media
Total Pages: 266
Release: 2006-05-10
ISBN 10: 0387226583
ISBN 13: 9780387226583
Language: EN, FR, DE, ES & NL

Relative Distribution Methods in the Social Sciences Book Review:

This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods.

Statistics for the Social Sciences

Statistics for the Social Sciences
Author: Russell T. Warne
Publsiher: Cambridge University Press
Total Pages: 650
Release: 2020-12-17
ISBN 10: 110889853X
ISBN 13: 9781108898539
Language: EN, FR, DE, ES & NL

Statistics for the Social Sciences Book Review:

The second edition of Statistics for Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

Statistics for the Social Sciences

Statistics for the Social Sciences
Author: R. Mark Sirkin
Publsiher: SAGE Publications, Incorporated
Total Pages: 592
Release: 1999-05-06
ISBN 10: 9780761914181
ISBN 13: 0761914188
Language: EN, FR, DE, ES & NL

Statistics for the Social Sciences Book Review:

Do your students lack confidence in handling quantitative work? Do they get confused about how to enter statistical data on SAS and SPSS programs? This Second Edition of Mark Sirkin's popular textbook is the solution for these dilemmas. The book progresses from concepts that require little computational work to the more demanding. It emphasizes utilization so that students appreciate the usefulness of statistics and shows how the interpretation of data is related to the methods by which data was obtained. The author includes coverage of the scientific method, levels of measurement and the interpretation of tables.

Basic Statistics for Social Research

Basic Statistics for Social Research
Author: Robert A. Hanneman,Augustine J. Kposowa,Mark D. Riddle
Publsiher: John Wiley & Sons
Total Pages: 530
Release: 2012-12-04
ISBN 10: 0470587989
ISBN 13: 9780470587980
Language: EN, FR, DE, ES & NL

Basic Statistics for Social Research Book Review:

A core statistics text that emphasizes logical inquiry, notmath Basic Statistics for Social Research teaches core generalstatistical concepts and methods that all social science majorsmust master to understand (and do) social research. Its use ofmathematics and theory are deliberately limited, as the authorsfocus on the use of concepts and tools of statistics in theanalysis of social science data, rather than on the mathematicaland computational aspects. Research questions and applications aretaken from a wide variety of subfields in sociology, and eachchapter is organized around one or more general ideas that areexplained at its beginning and then applied in increasing detail inthe body of the text. Each chapter contains instructive features to aid students inunderstanding and mastering the various statistical approachespresented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the endof the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor areavailable and include a test bank for instructors and downloadablevideo tutorials for students.

Statistical Methods

Statistical Methods
Author: Rudolf J. Freund,Donna Mohr,William J. Wilson
Publsiher: Academic Press
Total Pages: 824
Release: 2010-08-17
ISBN 10: 9780080961033
ISBN 13: 0080961037
Language: EN, FR, DE, ES & NL

Statistical Methods Book Review:

Statistical Methods, Third Edition, provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach that emphasizes concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples, and data exercises organized by level of difficulty. Students are required to be familiar with algebra. This updated edition includes new exercises applying different techniques and methods; new examples and datasets using current real-world data; new text organization to create a more natural connection between regression and the Analysis of the Variance; new material on generalized linear models; new expansion of nonparametric techniques; new student research projects; and new case studies for gathering, summarizing, and analyzing data. Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications Accessibile to students who may not have a background in probability or calculus Offers reader-friendly exposition, without sacrificing statistical rigor Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics

Statistical Power Analysis for the Social and Behavioral Sciences

Statistical Power Analysis for the Social and Behavioral Sciences
Author: Xiaofeng Steven Liu
Publsiher: Routledge
Total Pages: 400
Release: 2013-11-07
ISBN 10: 1136464182
ISBN 13: 9781136464188
Language: EN, FR, DE, ES & NL

Statistical Power Analysis for the Social and Behavioral Sciences Book Review:

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.

Advanced and Multivariate Statistical Methods for Social Science Research

Advanced and Multivariate Statistical Methods for Social Science Research
Author: Soleman Hassan Abu-Bader
Publsiher: Oxford University Press
Total Pages: 350
Release: 2010-06
ISBN 10: 0190616393
ISBN 13: 9780190616397
Language: EN, FR, DE, ES & NL

Advanced and Multivariate Statistical Methods for Social Science Research Book Review:

Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses. Each chapter discusses the purpose, rationale, and assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussion of how to utilize SPSS to run each test, read its output, interpret, and write the results. Advanced & Multivariate Statistical Methods for Social Science Research is an indispensable resource for students of disciplines as varied as social work, nursing, public health, psychology, and education. Electronic database files are available for student and instructor use.http: //lyceumbooks.com/StudentResources.htm