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X Kit Undergraduate Stats For The Social Sciences


X Kit Undergraduate Stats For The Social Sciences
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X Kit Undergraduate Stats For The Social Sciences


X Kit Undergraduate Stats For The Social Sciences
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Author :
language : en
Publisher: Pearson South Africa
Release Date : 2005

X Kit Undergraduate Stats For The Social Sciences written by and has been published by Pearson South Africa this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Science categories.




X Kit Statistics For The Social Sciences


X Kit Statistics For The Social Sciences
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Author :
language : en
Publisher:
Release Date :

X Kit Statistics For The Social Sciences written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Statistics For The Social Sciences


Statistics For The Social Sciences
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Author : Howard Tokunaga
language : en
Publisher: Wiley
Release Date : 2017-10-09

Statistics For The Social Sciences written by Howard Tokunaga and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-09 with Psychology categories.




Quantitative Social Science


Quantitative Social Science
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Author : Kosuke Imai
language : en
Publisher: Princeton University Press
Release Date : 2021-03-16

Quantitative Social Science written by Kosuke Imai and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with Social Science categories.


The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides



Undergraduate Social Sciences Students Attitudes Toward Statistics


Undergraduate Social Sciences Students Attitudes Toward Statistics
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Author : Asal Aslemand
language : en
Publisher:
Release Date : 2018

Undergraduate Social Sciences Students Attitudes Toward Statistics written by Asal Aslemand and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


This study investigated the changes in undergraduate social sciences students' attitudes toward statistics in an introductory statistics course for social science students. The relationships between students' attitudes toward statistics and their past mathematics achievement, their statistics outcomes, their sex, and their year of study were also investigated. The Survey of Attitudes Toward Statistics (SATS-36©) was used to collect data on students' attitudes toward statistics. The study found no significant differences between male and female students' attitudes toward statistics. Moreover, no significant differences in attitudes were found by year of study of the participants. By the end of their introductory statistics course, students' attitudes improved for those students with low initial scores regarding their feelings concerning statistics, their competency in doing statistics, their valuing of the subject in their personal and professional lives, their perception of the difficulty of the subject, and their efforts to learn statistics. However, their interest in statistics remained the same. Students' attitudes-scores dropped for those students with high initial responses regarding their competency to do statistics, their valuing of the subject, and their interest in statistics. Their feelings concerning statistics, their perception of the difficulty of the subject, and their effort to learn statistics remained the same. Students' past mathematics achievement, their valuing of, and their effort to learn statistics predicted their statistics outcomes by the end of the course. Additionally, students' interest in statistics predicted their effort to learn statistics and their valuing of the subject by the end of the course, which contributed to their statistics outcomes. The results also revealed that, students' past mathematics achievement, and their perception of the difficulty of the subject predicted their cognitive competence in statistics, and their cognitive competence predicted their affect toward statistics by the end of the course.



Statistics For Economics Business Administration And The Social Sciences


Statistics For Economics Business Administration And The Social Sciences
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Author : Erling B. Andersen
language : en
Publisher: Springer
Release Date : 1987

Statistics For Economics Business Administration And The Social Sciences written by Erling B. Andersen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Alm categories.




Social Statistics


Social Statistics
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Author : Hubert M. Blalock
language : en
Publisher:
Release Date : 1979

Social Statistics written by Hubert M. Blalock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Social sciences categories.




X Kit Undergraduate Stats For Business


X Kit Undergraduate Stats For Business
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Author :
language : en
Publisher: Pearson South Africa
Release Date : 2005

X Kit Undergraduate Stats For Business written by and has been published by Pearson South Africa this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Commercial statistics categories.




Statistics For Economics Business Administration And The Social Sciences


Statistics For Economics Business Administration And The Social Sciences
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Author : Erling B. Andersen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Statistics For Economics Business Administration And The Social Sciences written by Erling B. Andersen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


This book is intended as a textbook for a first course in applied statistics for students of economics, public administration and business administration. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text. Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable the student to understand the reasoning underlying a statistical analysis and to apply statistical methods to problems likely to be met within the fields of economics, public administration and business administration. The topics covered by the book are: - methods for exploratory data analysis - probability theory and standard statistical distributions - statistical inference theory - and three main areas of application: regression analysis, survey sampling and contingency tables. The treatment of exploratory data analysis, regression analysis and the analysis of contingency tables are based on the most recent theoretical developments in these areas. Most of the examples have never been presented before in English textbooks.



Applied Multivariate Statistics For The Social Sciences


Applied Multivariate Statistics For The Social Sciences
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Author : Keenan A. Pituch
language : en
Publisher: Routledge
Release Date : 2015-12-07

Applied Multivariate Statistics For The Social Sciences written by Keenan A. Pituch and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-07 with Psychology categories.


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.