Statistical Methods For The Social Sciences Pdf
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📒Using Statistical Methods In Social Science Research ✍ Soleman H. Abu-Bader
✏Using Statistical Methods in Social Science Research Book Summary : 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 Methods For The Social Sciences ✍ Alan Agresti
✏Statistical Methods for the Social Sciences Book Summary :
📒Research In Practice ✍ Martin Terre Blanche
✏Research in Practice Book Summary : A major shift in research methodology from technical to more contextual and pragmatic approaches, this thorough resource incorporates new trends while also providing comprehensive coverage of the full range of established research approaches and techniques, skillfully combining epistemology, methodology, statistics, and application in a volume that is both sophisticated and practical. Placing a greater emphasis on interdisciplinary and applied research skills, this guide encourages the concurrent use of qualitative and quantitative methods and explores such complex topics as ethical issues in social science research; inferential statistical methods; and Marxist, feminist, and black scholarship perspectives.
📒Statistics For Social Sciences With Spss Applications ✍ ASTHANA , HARI SHANKAR
✏STATISTICS FOR SOCIAL SCIENCES WITH SPSS APPLICATIONS Book Summary : Designed as a text for the undergraduate and postgraduate students of psychology, education, sociology, demography and economics, this comprehensive book explains the theoretical and computational aspects of statistics. Since the students of social sciences often find it difficult to comprehend the statistical techniques due to complex mathematical steps involved, this book explains each concept and related statistical derivations or formulae in a simple and clear manner. The text provides solutions to basic concepts and problems using a number of illustrations. In addition, it demonstrates the simplest way of using SPSS software for statistical analysis. SPSS screen images are used to make the ideas more clear to the readers. This is preceded by theoretical details and solved examples so that even those having minimal knowledge of computer can use SPSS easily and comprehend the complex intermediate steps involved in statistical analysis. Besides the undergraduate and postgraduate students of social sciences, the researchers and professionals in this field should find this book immensely useful. The Second Edition of the book has been prepared on the basis of the feedback received from the readers. As per their demand, a new chapter based on multivariate analysis, i.e., Factor analysis has been introduced. Many other chapters have been modified and updated to make them more effective and simple for the readers. Most importantly, screenshots of the latest version of SPSS have been incorporated in the relevant chapters to keep the students abreast with the developments in tools and techniques of statistics.
📒Statistics For The Social Sciences ✍ Russell T. Warne
✏Statistics for the Social Sciences Book Summary : This introductory undergraduate textbook is the first statistics textbook built around the General Linear Model.
📒Using Statistics In Social Research ✍ Scott M. Lynch
✏Using Statistics in Social Research Book Summary : This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.
📒Propensity Score Analysis ✍ Shenyang Guo
✏Propensity Score Analysis Book Summary : Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.
📒Basic Statistics For Social Research ✍ Robert A. Hanneman
✏Basic Statistics for Social Research Book Summary : 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.
📒Using Spss For Social Statistics And Research Methods ✍ William E. Wagner III
✏Using SPSS for Social Statistics and Research Methods Book Summary : Using SPSS for Social Statistics and Research Methods is a guide for those interested in using SPSS software to aid in statistical data analysis. It can be used as a companion to a statistics or research methods course, or as a stand-alone guide. It is a useful guide for students working independently on a research proposal, project, or paper. Also, it is an excellent resource for instructors to use with some or all of the lab components of their course. All of the images and directions used in this book are from SPSS version 17.0.
📒Social Statistics For A Diverse Society ✍ Chava Frankfort-Nachmias
✏Social Statistics for a Diverse Society Book Summary : The new edition of this bestselling text continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.