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Author: Robert A. Hanneman Publisher: John Wiley & Sons ISBN: 0470587989 Category : Education Languages : en Pages : 560
Book Description
A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.
Author: Robert A. Hanneman Publisher: John Wiley & Sons ISBN: 0470587989 Category : Education Languages : en Pages : 560
Book Description
A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.
Author: Robert A. Hanneman Publisher: John Wiley & Sons ISBN: 1118234154 Category : Education Languages : en Pages : 560
Book Description
A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.
Author: Scott M. Lynch Publisher: Springer Science & Business Media ISBN: 1461485738 Category : Social Science Languages : en Pages : 245
Book Description
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.
Author: Annabel Ness Evans Publisher: SAGE Publications ISBN: 1483323617 Category : Social Science Languages : en Pages : 605
Book Description
In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.
Author: Keming Yang Publisher: SAGE ISBN: 1446205592 Category : Social Science Languages : en Pages : 218
Book Description
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: Anthony Walsh Publisher: Pearson ISBN: Category : Mathematics Languages : en Pages : 328
Book Description
Designed to make wildflower identification as easy as possible for the walker or rambler, this guide covers over 250 species with colour photographs of each. The flowers are categorized in eight sections: seashore and coastal; fresh water; heaths and moors; marshes, fens and bogs; cultivated, arable and waste land; grassland and meadows; gardens, paths and walls; and woodland and hedgerows. Each habitat section has a set of introductory photographs for easy identification and larger photographs alongside essential information which includes the botanical name, month of flowering and particular characteristics of the species.
Author: George Argyrous Publisher: Palgrave MacMillan ISBN: 9780732939366 Category : SPSS (Computer file) Languages : en Pages : 0
Book Description
Introduction to the basic statistical concepts of data description, sampling estimation, inference and association/correlation. For students and professionals who do not have any existing knowledge in the field of statistics. A step-by-step approach takes the readers through the application of these concepts to concrete problems with explanations. For SPSS users, these examples are reworked with a guide to the commands required and an explanation of the output that is generated. Disks with the data necessary to generate the results and replicate the procedures described in the book are included in both Macintosh and PC formats. The author teaches in the School of Social Sciences and Policy at the UNSW. Also available in hardback.
Author: Jeff Gill Publisher: Cambridge University Press ISBN: 0521834260 Category : Mathematics Languages : en Pages : 449
Book Description
"More than ever before, modern social scientists require a basic level of mathematical literacy, yet many students receive only limited mathematical training prior to beginning their research careers. This textbook addresses this dilemma by offering a comprehensive, unified introduction to the essential mathematics of social science. Throughout the book the presentation builds from first principles and eschews unnecessary complexity. Most importantly, the discussion is thoroughly and consistently anchored in real social science applications, with more than 80 research-based illustrations woven into the text and featured in end-of-chapter exercises. Students and researchers alike will find this first-of-its-kind volume to be an invaluable resource."--BOOK JACKET.
Author: Duncan Cramer Publisher: ISBN: 9780415120043 Category : Mathematics Languages : en Pages : 401
Book Description
Both students and professionals are increasingly reliant on computers for the analysis of data. This accessible introduction to statistics using the program Minitab assumes no prior knowledge of statistics or computing, and has details of the different versions and options available. It also explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Ranging from chi-square and the t test to analysis of covariance and multiple regression, Duncan Cramer covers a wide choice of statistics, including tests not found in other introductory texts, such as tests for determining whether correlations differ and the extent of agreement between observers. Important statistical points are illustrated with worked numerical examples, and exercises are provided at the end of chapters.
Author: Robert A. Hanneman
Author: Robert A. Hanneman
Author: Robert A. Hanneman
Author: Scott M. Lynch
Author: Annabel Ness Evans
Author: Keming Yang
Author: Anthony Walsh
Author: George Argyrous
Author: Jeff Gill
Author: Dean J. Champion
Author: Duncan Cramer