2 edition of Statistics for the social scientists found in the catalog.
Statistics for the social scientists
K. A. Yeomans
|Statement||K. A. Yeomans.|
|Series||Studies in applied statistics, Penguin education -- X5, X6|
|The Physical Object|
|Pagination||2 v. :|
|LC Control Number||73074449|
Written for social science students who will be working with or conducting research, Mathematics for Social Scientists offers a non-intimidating approach to learning or reviewing math skills essential in quantitative research methods. The text is designed to build students’ confidence by presenting material in a conversational tone and using a wealth of clear and applied examples. Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn.
The book was published more than 15 years ago, so indeed is in need of an update. And I would love to see an updated version of the book. A second point is that the explanation of the different types of models is rather difficult to understand - I would guess too difficult for most social science students. Social Scientists - What They Do The major social science occupations covered in this statement are anthropologists, archaeologists, geographers, and historians. Social scientists study all aspects of society—from past events and achievements to human behavior and relationships among groups.
The Impact of the Social Sciences is a very important book, because it shows the enormous impact the social sciences have made in business, government, and civil society. At a time when governments overly concentrate on science and engineering, they fail to understand that without the social sciences many of the physical science/technological advances would have little traction, particularly. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research.
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A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences.4/5(3).
Author R. Mark Sirkin once Statistics for the social scientists book demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them.
Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was by: The book presents an introduction to statistical methods for students majoring in social science disciplines.
No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses/5(57).
The book includes lists of key concepts, chapter exercises, topic boxes, and more. Statistics for the Social Sciences is an excellent text for advanced undergraduate and graduate students studying statistics across the social sciences. It can also be used in research methods courses that cover quantitative applications in some depth.
Russell T. Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics.
A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences.
The new edition of the bestselling textbook Statistics for the Social Sciences. is the solution. The previous editions of this book were popular with instructors because they helped build students' confidence and ability in doing statistical analysis, by slowly moving from concepts that require little computational work to those that require more.
Description. The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra).Format: On-line Supplement.
STATISTICAL METHODS FOR THE SOCIAL SCIENCES. The purpose of this book is to acquaint the reader with the increasing number of applications of statistics in engineering and the social sciences. This unique reader for research methods courses looks at how social scientists ask and answer questions.
The Practice of Research presents a practical guide to doing research by excerpting well-known studies by some of the most distinguished social science researchers in the field today.
The excerpts represent nine methodological approaches and are accompanied by reflections where /5(4). Social Science Statistics. Welcome. This web site offers free resources for students and researchers working with statistics in the social sciences.
All the calculators and tools featured here have been designed with ease of use and clarity of presentation in mind. Certainly, you should find them much less cumbersome - and definitely less.
This is the Statistical Package for the Social Sciences (SPSS), whose most recently released versions (for both mainframe computers and IBM-compatible personal computers) are here employed. The authors have assumed no previous familiarity with either statistics or computing, and take the reader step-by-step through each of the techniques for which SPSS can be by: With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students acros.
With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students across the social sciences.
It shows how all students can understand the basic ideas of statistics at a level appropriate with being a good social scientist/5. Bayesian Analysis for the Social Sciences provides a thorough yet accessible treatment of Bayesian statistical inference in social science settings.
The first part of this book presents the foundations of Bayesian inference, via simple inferential problems in the social sciences: proportions, cross-tabulations, counts, means and regression by: Essentials of statistics for the social and behavioral science / Barry H.
Cohen, R. Brooke Lea. ocial and behavioral scientists need statistics more than most other scien-tists, especially the kind of statistics included in this book. For the sake of contrast, consider the subject matter of physics.
The developers of the Statistical Package for the Social Sciences (SPSS) made every effort to make the software easy to use. This prevents you from making mistakes or even forgetting something. That’s not to say it’s impossible to do something wrong, but the SPSS software works hard.
SPSS for Social Scientists 2e provides the novice researcher with a step-by-step guide to SPSS – easily the most widely used data analysis package in the social sciences. Written in a clear and non-technical style, the book gives practical guidance that gradually builds up the reader's knowledge, understanding and confidence.5/5(7).
His methodology interests involve the connections among measurement, statistics, and inference. He has published four books with SAGE: Job Satisfaction: Applications, Assessment, Causes and Consequences, Research Designs, SAS 8 Programming for Researchers and Social Scientists, and Summated Rating Scale by: al.
), social choice theory (Gaertner ), and Judgment Aggregation (List and Puppe ). The latter theories were invented by social scientists, for social scientists and with a speci c social-science application in mind.
They help addressing speci c problems that arise in the context of the social. social statistics in the form of ‘data mining’ (see, for example, Hand, ).
Other attempts at measuring association originated in the study of public health (see Macdonell, ; ) and Author: Roger Penn.Social Science Research: Principles, Methods, and Practices, 2nd edition By Anol Bhattacherjee First published ISBN ISBN Creative Commons Attribution-NonCommercial-ShareAlike Unported License: Users are free to use, copy, share, distribute, display, and reference this book under the following conditions:Cited by: "Introduction to Applied Bayesian Statistics and Estimation for Social Scientists" covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference/5.