Making Sense Of Statistical Methods In Social Research
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Author | : Keming Yang |
Publisher | : SAGE |
Total Pages | : 218 |
Release | : 2010-03-25 |
Genre | : Social Science |
ISBN | : 1446205592 |
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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.
Author | : Keming Yang |
Publisher | : SAGE Publications |
Total Pages | : 217 |
Release | : 2010-04-14 |
Genre | : Social Science |
ISBN | : 1847872875 |
Download Making Sense of Statistical Methods in Social Research Book in PDF, Epub and Kindle
This is a critical introduction to the use of statistical methods in social research. It aims to improve students’ statistical literacy, with the ultimate goal of turning them into competent researchers. It includes discussion of the conceptual foundation of statistical methods. The logic of each statistical method or procedure is explained, and statistical techniques and procedures are presented as a way of illuminating the underlying logic behind the symbols.
Author | : Soleman H. Abu-Bader |
Publisher | : Oxford University Press |
Total Pages | : 395 |
Release | : 2011-07-01 |
Genre | : Social Science |
ISBN | : 0190685352 |
Download Using Statistical Methods in Social Science Research Book in PDF, Epub and Kindle
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.
Author | : Pengfei Zhao |
Publisher | : SAGE Publications, Incorporated |
Total Pages | : 497 |
Release | : 2021-01-04 |
Genre | : Social Science |
ISBN | : 1506378692 |
Download Making Sense of Social Research Methodology Book in PDF, Epub and Kindle
Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach introduces students to research methods by illuminating the underlying assumptions of social science inquiry. Authors Pengfei Zhao, Karen Ross, Peiwei Li, and Barbara Dennis show how research concepts are often an integral part of everyday life through illustrative common scenarios, like looking for a recipe or going on a job interview. The authors extrapolate from these personal but ubiquitous experiences to further explain concepts, like gathering data or social context, so students develop a deeper understanding of research and its applications outside of the classroom. Students from across the social sciences can take this new understanding into their own research, their professional lives, and their personal lives with a new sense of relevancy and urgency. This text is organized into clusters that center on major topics in social science research. The first cluster introduces concepts that are fundamental to all aspects and steps of the research process. These concepts include relationality, identity, ethics, epistemology, validity, and the sociopolitical context within which research occurs. The second and third clusters focus on data and inference. These clusters engage concretely with steps of the research process, including decisions about designing research, generating data, making inferences. Throughout the chapters, Pause and Reflect open-ended questions provide readers with the space for further inquiry into research concepts and how they apply to life. Research Scenario features in each chapter offer new perspectives on major research topics from leading and emerging voices in methods. Moving from this dialogic perspective to more actionable advice, You and Research features offer students concrete steps for engaging with research. Take your research into the world with Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach.
Author | : Stephen Gorard |
Publisher | : SAGE |
Total Pages | : 243 |
Release | : 2021-02-10 |
Genre | : Social Science |
ISBN | : 1529755867 |
Download How to Make Sense of Statistics Book in PDF, Epub and Kindle
In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables. This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.
Author | : Malcolm Williams |
Publisher | : SAGE |
Total Pages | : 234 |
Release | : 2003-02-24 |
Genre | : Psychology |
ISBN | : 9780761964223 |
Download Making Sense of Social Research Book in PDF, Epub and Kindle
What are the essentials for undergraduates and postgraduates engaged in quantitative and qualitative research? How can the gap between formulating a research question and carrying out research be bridged? This accessible, well-judged text provides students with a matchless introduction to generic research skills. It is uncluttered, direct and unpatronizing. Key features of the book are: - Accessibility - Clarification of key issues and problem solving guidance - Demonstration of the importance of interplay between theory and research - Realism in defining essential research issues and the problems that researchers encounter `It is not the case that "anyone can do social research", most research requires training. Here Malcolm Williams provides such training.... Helpful and often humorous' - Roger Sapsford, University of Teesside
Author | : Stanley Wasserman |
Publisher | : SAGE Publications |
Total Pages | : 320 |
Release | : 1994-07-27 |
Genre | : Social Science |
ISBN | : 1452253919 |
Download Advances in Social Network Analysis Book in PDF, Epub and Kindle
Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology.
Author | : Arnold D. Well |
Publisher | : Psychology Press |
Total Pages | : 871 |
Release | : 2003-01-30 |
Genre | : Mathematics |
ISBN | : 1135641080 |
Download Research Design & Statistical Analysis Book in PDF, Epub and Kindle
"Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover
Author | : Stanislav Kolenikov |
Publisher | : John Wiley & Sons |
Total Pages | : 222 |
Release | : 2010-02-22 |
Genre | : Mathematics |
ISBN | : 0470583320 |
Download Statistics in the Social Sciences Book in PDF, Epub and Kindle
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.
Author | : SOLEMAN H. ABU-BADER |
Publisher | : Oxford University Press, USA |
Total Pages | : 545 |
Release | : 2021-02-12 |
Genre | : |
ISBN | : 0197522432 |
Download Using Statistical Methods in Social Science Research Book in PDF, Epub and Kindle
Using Statistical Methods in Social Science Research, Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings. The book begins with an overview of research and statistical terms, followed by an explanation of basic descriptive statistics. It then focuses on the purpose, rationale, and assumptions made by each test, such as Pearson's correlation, student's t-tests, analysis of variances, and simple linear regression, among others. The book also provides a wealth of research examples that clearly display the applicability and function of these tests in real-world practice. In a separate appendix, the author provides a step-by-step process for calculating each test for those who still like to understand the mathematical formulas behind these processes.