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Author : Herman J. Loether,Donald G. McTavish
Publisher : Boston ; Toronto : Allyn and Bacon
Page : 416 pages
File Size : 41,6 Mb
Release : 1974
Category : Social Science
ISBN : UOM:39015002537432
Author : Herman John Loether,Donald Godfrey MacTavish
Publisher : Unknown
Page : 388 pages
File Size : 48,7 Mb
Release : 1976
Category : Electronic
ISBN : OCLC:251808084
Author : Herman J. Loether,Donald G. McTavish
Publisher : Allyn & Bacon
Page : 646 pages
File Size : 48,6 Mb
Release : 1976
Category : Mathematics
ISBN : STANFORD:36105036514235
Author : Margaret Jarman Hagood
Publisher : Unknown
Page : 602 pages
File Size : 41,6 Mb
Release : 1952
Category : Statistics
ISBN : UOM:39015002350075
Author : Herman J. Loether,Donald G. McTavish
Publisher : Boston : Allyn and Bacon
Page : 344 pages
File Size : 55,6 Mb
Release : 1974
Category : Social Science
ISBN : STANFORD:36105036120801
Author : Herman J. Loether,Donald G. McTavish
Publisher : Allyn & Bacon
Page : 728 pages
File Size : 54,8 Mb
Release : 1988
Category : Mathematics
ISBN : UCSC:32106007875088
Author : Hubert M. Blalock
Publisher : McGraw-Hill Humanities, Social Sciences & World Languages
Page : 648 pages
File Size : 55,8 Mb
Release : 1979
Category : Mathematics
ISBN : STANFORD:36105039549576
Purposes and limitations of statistics; Theory, measurement, and mathematics; Univariate descriptive statistics; Nominal scales: proportions, percentages and ratios; Interval scales: frequency distributions and graphics presentation; Interval scales: measures of central tendency; Measures of dispersion; The normal distribution; Inductive statistics; Introduction to inductive statistics; Probability; Testing hypotheses: the binomial distribution; Single-sample tests involving means and proportions; Point and interval estimation; Bivariate and multivariate statistics; Two-sample tests: difference of means and proportions; Ordinal scales: two-sample nonparametric tests; Nominal scales: contigency problems; Analysis of variance; Correlation and regression; multiple and partial correlation; Analysis of covariance, dummy variables, and other applications of the linear model; Sampling; Appendix; Index.
Author : Henry W. Fischer
Publisher : Unknown
Page : 0 pages
File Size : 53,8 Mb
Release : 1996
Category : SPSS for Windows
ISBN : 0761803564
This practical, hands-on guide is designed especially for the social sciences and those interested in identifying and explaining behavior patterns. It trains the beginner to use SPSS Windows to apply the basic statistical procedures used in social sciences. Combined are a conversational writing style (to overcome the usual fear of statistics) with basic training in data analysis and reporting. As a user-friendly guide, it is designed to help the reader master the basics of data analysis using SPSS Windows. The book includes instruction in report writing, code book creation, and data entry. Training in data analysis includes mastering the use of descriptive statistics, chi-square, t-tests, ANOVA, correlation coefficients, and multiple regression. Sample data is included, along with numerous hands-on exercises and lab activites.
Author : Julie Scott Jones,Goldring,
Publisher : SAGE
Page : 160 pages
File Size : 40,9 Mb
Release : 2022-03-01
Category : Social Science
ISBN : 9781529710908
Nervous about statistics? This guide offers you a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Author : Herman J. Loether,Donald G. McTavish
Publisher : Boston : Allyn and Bacon
Page : 346 pages
File Size : 45,8 Mb
Release : 1974
Category : Social Science
ISBN : UOM:39015001657686
Author : Nancy E. Whittier,Tina Wildhagen,Howard J. Gold
Publisher : Rowman & Littlefield
Page : 696 pages
File Size : 48,5 Mb
Release : 2019-01-21
Category : Social Science
ISBN : 9781538109847
Statistics for Social Understanding: With Stata and SPSS introduces students to the way statistics is used in the social sciences--as a tool for advancing understanding of the social world. Written in an engaging and clear voice and based on the latest research on the teaching and learning of quantitative material, the text is geared to introductory students in the social sciences, including those with little quantitative background. It covers the conceptual aspects of statistics even when the mathematical details are minimized. Informed by research on teaching and learning in statistics, the book takes a universal design approach to accommodate diverse learning styles. With an early chapter on cross-tabulation, a focus on comparisons between groups throughout, and a unique chapter on causality, the text shows students the power of statistics for answering important real-world questions. By providing thorough coverage of social science statistical topics, a balanced approach to calculation, and step-by-step directions on how to use statistical software, authors Nancy Whittier, Tina Wildhagen, and Howard J. Gold give students the ability to analyze data and explore and answer exciting questions. To accommodate changing undergraduate courses, the text incorporates examples from both Stata and SPSS in every chapter andprovides practice problems of every type as well as readily available datasets for classroom use, including the General Social Survey, American National Election Study, and more. Each chapter concludes with a chapter summary, a section on using Stata, a section on using SPSS, and practice problems. Statistics for Social Understanding: With Stata and SPSS is accompanied by a learning package, written entirely by Tina Wildhagen, that is designed to enhance the experience of both instructors and students. Author-written ancillaries ensure that supplementary materials match the text in voice, language, and content.
Author : Herman J. Loether
Publisher : Unknown
Page : 319 pages
File Size : 47,6 Mb
Release : 1974
Category : Hypothèse - Essais statistiques
ISBN : OCLC:1064184
Author : Michael Malec
Publisher : Routledge
Page : 289 pages
File Size : 54,7 Mb
Release : 2018-10-08
Category : Social Science
ISBN : 9780429969317
We need only scan a newspaper or magazine, turn on a news broadcast, or open a sociology text or journal to see that we live in an age that is heavily dependent on statistical information. The extent this dependency is such that it is rather difficult to be an educated person without having at least a passing acquaintance with basic statistics. More to the point, it is virtually impossible to be a capable social scientist without having a definite, if elementary, understanding of some basic statistics and statistical methods of analysis. But a casual acquaintance with a few simple statistics will not serve the social scientist who attempts to read competently the literature of the field. And if one wishes to do quantitative social research—and most research published today is quantitative—a more thorough knowledge of statistics is imperative. The aspiring sociologist need only examine the books and articles that are being published today for evidence of this claim. A very large portion of the articles published in the major sociology journals use some form of statistical analysis. Some of these articles and other works published sociologists are incomprehensible without a statistics background; others will simply be read less intelligently or with a lessened sense of appreciation or criticism.
Author : Catherine Marsh,Jane Elliott
Publisher : John Wiley & Sons
Page : 0 pages
File Size : 53,8 Mb
Release : 2008-12-22
Category : Social Science
ISBN : 8210379456XXX
The updated edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, it moves on in later chapters to simple strategies for examining the associations between variables using inferential statistics such as chi squared. The book has been substantially revised to include the most recent approaches to data analysis, and includes step-by-step instructions on using SPSS. All these techniques are illustrated with intriguing real examples, drawn from important social research over the past three decades, designed to illuminate significant sociological and political debates. The book shows how students can use quantitative data to answer various questions: Is it true that the rich are getting richer and the poor are getting poorer? Are crime rates really going down, and how can we tell? How much alcohol do men and women really drink in an average week? Which country in Europe has the highest average working hours? Readers are encouraged to explore data for themselves, and are carefully guided through the opportunities and pitfalls of using statistical packages, as well as the numerous data sources readily available online. Suitable for those with no previous experience of quantitative data analysis, the second edition of Exploring Data will be invaluable to students across the social sciences. Download answers to exercises in book.
Author : Thomas J. Linneman
Publisher : Routledge
Page : 1007 pages
File Size : 54,5 Mb
Release : 2014-02-03
Category : Social Science
ISBN : 9781135103477
Many fundamentally important decisions about our social life are a function of how well we understand and analyze DATA. This sounds so obvious but it is so misunderstood. Social statisticians struggle with this problem in their teaching constantly. This book and its approach is the ally and support of all instructors who want to accomplish this hugely important teaching goal. This innovative text for undergraduate social statistics courses is, (as one satisfied instructor put it), a "breath of fresh air." It departs from convention by not covering some techniques and topics that have been in social stat textbooks for 30 years, but that are no longer used by social scientists today. It also includes techniques that conventional wisdom has previously thought to be the province of graduate level courses. Linneman’s text is for those instructors looking for a thoroughly "modern" way to teach quantitative thinking, problem-solving, and statistical analysis to their students...an undergraduate social statistics course that recognizes the increasing ubiquity of analytical tools in our data-driven age and therefore the practical benefit of learning how to "do statistics," to "present results" effectively (to employers as well as instructors), and to "interpret" intelligently the quantitative arguments made by others. A NOTE ABOUT THE AUTHOR... At a recent Charter Day celebration, author Tom Linneman was awarded the Thomas Jefferson Teaching Award, the highest award given to young faculty members at the College of William and Mary. The citation for his award noted that Linneman has developed a reputation among his students as a demanding professor – but one who genuinely cares about them.
