Learning Statistics

A Manual for Sociology Students

Author: David Swanson

Publisher: Cognella Academic Publishing

ISBN: 9781609274795

Category: Social Science

Page: 276

View: 5056

DOWNLOAD NOW »

"Learning Statistics: A Manual for Sociology Students" helps students learn and retain important statistical concepts. New graduates face numerous challenges when applying statistics in the workplace. This text presents a unique and class-tested set of pedagogical tools that increase learning and retention, and prepare students for real-world application. In the real world decisions are often made in conditions of uncertainty. Decision makers examine data generated through scientific sampling, which is a cost-effective means of generating information. This book addresses the selection, use, and interpretation of statistical tools, in conjunction with the presentation of effective results aimed at supporting practical decision-making. In essence, the book is based on the idea that you learn statistics by doing statistics. The approach of "Learning Statistics" is three-fold. It is computer-based. It assumes that problems are client-driven and create conditions of uncertainty. It is designed with a conceptual umbrella over empirical assignments. Students will achieve key learning outcomes including: - Grasping the conceptual foundation that underlies inferential statistics; - Understanding basic descriptive and inferential tools within a decision-making framework; - Selecting appropriate statistical tools, such as graphing, correlation, and simple regression, for specific tasks; - Using software packages to support data analysis. This comprehensive text addresses major concepts in classical statistics. It serves as a bridge between the classroom and the office. David A. Swanson is Professor of Sociology at the University of California, Riverside. He received his B.Sc. from Western Washington State College, a graduate diploma in Social Sciences from the University of Stockholm, and his Ph.D. In Sociology/Population Studies from the University of Hawai'i. Before becoming an academic, Dr. Swanson worked for state governments in Alaska and Washington, and for companies in the private sector. He became acutely aware of how little college and university graduates knew about statistics, in spite of having good grades in their statistics classes. After entering academia Dr. Swanson developed courses in statistics that improve not only student learning and retention, but future employment possibilities.

Primer for Critiquing Social Research

A Student Guide

Author: Michael J. Holosko

Publisher: Brooks/Cole Publishing Company

ISBN: 9780495007746

Category: Business & Economics

Page: 73

View: 9655

DOWNLOAD NOW »

Critique social research with ease with PRIMER FOR CRITIQUING SOCIAL RESEARCH: A STUDENT GUIDE! In a simple, hands-on manner, this text helps you develop the analytical tools and critical thinking skills you need to successfully critique social research. Critiquing is made easy with a book-specific website which offers frequently asked questions, an evaluation template, and other information about the text and its use.

A Mathematics Course for Political and Social Research

Author: Will H. Moore,David A. Siegel

Publisher: Princeton University Press

ISBN: 140084861X

Category: Political Science

Page: 456

View: 1154

DOWNLOAD NOW »

Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students

Social Statistics for a Diverse Society

Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero

Publisher: Pine Forge Press

ISBN: 9780761987437

Category: Mathematics

Page: 569

View: 8034

DOWNLOAD NOW »

This groundbreaking textbook uses real-world research examples and data to provide a revealing introduction to social science statistics. The Third Edition of this widely adopted text effectively links social issues and sociological concepts with statistical techniques. Realizing that students may lack a substantial math background, or suffer from "math anxiety," the material in this book is presented using straightforward prose that emphasizes intuition, logic, and common sense rather than rote memorization. Throughout the text instructors are provided with resources to support effective teaching: illustrations showing how statistical concepts are used to interpret social issues, guides for reading and interpreting the research literature, SPSS demonstrations, and a rich variety of exercises. The user-friendly, informal style of this innovative text has been widely applauded by students and instructors alike.

Careers in Sociology

Author: W. Richard Stephens

Publisher: Allyn & Bacon

ISBN: N.A

Category: Business & Economics

Page: 108

View: 4101

DOWNLOAD NOW »

What career opportunities are available for those interested in sociology? What avenues does such a degree open for people? This handy resource provides meaningful answers to these questions, serving as an indispensable guide for anyone considering sociology as an eventual career path. The book presents a series of biographies called ÒCharacter ProfilesÓ which serve as a template for career development on the basis of a degree in sociology. These new profiles outline careers in third world development, the computer industry, military intelligence, women and entrepreneurship, and virtual sociology, among others. People considering careers in sociology.

Using IBM SPSS Statistics for Social Statistics and Research Methods

Author: William Edward Wagner

Publisher: SAGE

ISBN: 1412991420

Category: Social Science

Page: 148

View: 5527

DOWNLOAD NOW »

Ideal as a companion to a statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods shows readers how to use images and directions drawn from SPSS Version 18.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. This supplementary text is designed as a manual for SPSS use for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. It will also serve as a useful reference for those learning to use the SPSS software for the first time. Features and Benefits: • Offers a fully updated graphics chapter that highlights new features available in SPSS 18.0, including information on alternative routes to creating graphics • Includes updated examples, screenshots and tables throughout • Expanded coverage of output interpretation • Refers to several kinds of computer files, including data files, output files and syntax files • Covers a wide range of data analysis topics to help students who are working independently on a research proposal, project or paper.

Statistics Unplugged

Author: Sally Caldwell

Publisher: Cengage Learning

ISBN: 1285402588

Category: Psychology

Page: 384

View: 1419

DOWNLOAD NOW »

Learn statistics the easy way with STATISTICS UNPLUGGED! Written in a friendly, easy-to-understand style, this practical book takes the intimidation out of statistics and helps you understand the relevance of statistics to your own life. Interesting examples throughout the book allow you to see what is really going on with the numbers instead of being overwhelmed by the numbers themselves. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Simple Statistics

A Course Book for the Social Sciences

Author: Frances Clegg

Publisher: Cambridge University Press

ISBN: 9780521288026

Category: Juvenile Nonfiction

Page: 210

View: 8062

DOWNLOAD NOW »

Simple Statistics is suitable primarily for A-level students and undergraduates following courses in psychology and, to a lesser degree, sociology, economics and geography.

How to Do a Research Project

A Guide for Undergraduate Students

Author: Colin Robson

Publisher: John Wiley & Sons Limited

ISBN: 9781118691328

Category: Project method in teaching

Page: 176

View: 3543

DOWNLOAD NOW »

Written specifically to address the needs and concerns of the undergraduate, this tightly focused second edition guides students through the process of conducting and completing a research project. Friendly and accessible, this fully-updated second edition includes a number of accompanying student support materials to aid students further. Closely integrated sets of end-of-chapter tasks covering all aspects of research projects from design to completion, as well as suggested further reading, enhance each chapter. A wide range of additional helpful materials relevant to particular subject areas is also available on the accompanying website at www.wiley.com/college/robson. This textbook is an invaluable resource for students in a wide range of disciplines and fields of study, particularly those planning to use social research methods or to carry out a library-based study, for their undergraduate research project.

Statistics For Dummies

Author: Deborah J. Rumsey

Publisher: John Wiley & Sons

ISBN: 1119297516

Category: Mathematics

Page: 408

View: 2959

DOWNLOAD NOW »

Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product. The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

A Handbook for Teaching and Learning in Higher Education

Enhancing academic practice

Author: Heather Fry,Steve Ketteridge,Stephanie Marshall

Publisher: Routledge

ISBN: 1317650220

Category: Education

Page: 452

View: 778

DOWNLOAD NOW »

This entirely new edition of a very successful book focuses on developing professional academic skills for supporting and supervising student learning and effective teaching. It is built on the premise that the roles of those who teach in higher education are complex and multi-faceted. A Handbook for Teaching and Learning in Higher Education is sensitive to the competing demands of teaching, research, scholarship, and academic management. The new edition reflects and responds to the rapidly changing context of higher education and to current understanding of how to best support student learning. Drawing together a large number of expert authors, it continues to feature extensive use of case studies that show how successful teachers have implemented these ideas. It includes key topics such as student engagement and motivation, internationalisation, employability, inclusive strategies for teaching, effective use of technology and issues relating to postgraduate students and student retention. Part 1 explores a number of aspects of the context of UK higher education that affect the education of students, looking at the drivers of institutional behaviours and how to achieve success as a university teacher. Part 2 examines learning, teaching and supervising in higher education and includes chapters on working with diversity, encouraging independent learning and learning gain. Part 3 considers approaches to teaching and learning in different disciplines, covering a full range including arts and humanities, social sciences, experimental sciences through to medicine and dentistry. Written to support the excellence in teaching and learning design required to bring about student learning of the highest quality, this will be essential reading for all new lecturers, particularly anyone taking an accredited course in teaching and learning in higher education, as well as those experienced lecturers who wish to improve their teaching practice. Those working in adult learning and educational development will also find the book to be a particularly useful resource. In addition it will appeal to staff who support learning and teaching in various other roles.

The Sociology Student's Guide to Writing

Author: Angelique Harris,Alia R. Tyner-Mullings

Publisher: SAGE Publications

ISBN: 1506367704

Category: Social Science

Page: 272

View: 2453

DOWNLOAD NOW »

The Sociology Student's Guide to Writing, by Angelique Harris and Alia R. Tyner-Mullings, is a brief, economical reference work that gives practical advice about the writing tasks and issues that undergraduate students face in their first sociology courses. Along with more traditional topics, it incorporates valuable information about composing emails, writing for online forums, and using technology for information-gathering and note-taking. Used by itself or in combination with other texts, this book will increase the quality of student writing and enhance their knowledge of how sociologists communicate in writing.

Applied Statistics for the Social and Health Sciences

Author: Rachel A. Gordon

Publisher: Routledge

ISBN: 0415875366

Category: Mathematics

Page: 742

View: 5510

DOWNLOAD NOW »

Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/

Understanding Social Statistics

A Student's Guide to Navigating the Maze

Author: Lance W. Roberts,Lori Wilkinson,Tracey Peter,Jason Edgerton

Publisher: N.A

ISBN: 9780195444292

Category: Social sciences

Page: 504

View: 4921

DOWNLOAD NOW »

Accessible and illuminating, this text is both a map and toolkit for successfully navigating the maze of social statistics. A five-step learning model, applied to each statistical technique, introduces key concepts in plain language; explains how to perform calculations manually; providesspecific descriptions of how to use statistical software such as SPSS; offers practice questions to solidify understanding; and gives guidance on interpreting results.

Statistics and Data Analysis for Social Science: Pearson New International Edition

Author: Eric J. Krieg

Publisher: Pearson Higher Ed

ISBN: 129205400X

Category: Social Science

Page: 395

View: 2181

DOWNLOAD NOW »

For a one-semester, undergraduate introductory course in social statistics. Statistical tools for understanding the social world. This first edition text seeks to answer the question, universally asked by the social science student, “Why statistics?” The author introduces only those statistical concepts that are necessary to understand, interpret, and present social science research. All concepts are introduced in the context of a social science application, and strong emphasis is placed on demonstrating what data “looks like,” as opposed to giving theoretical explanations. Complexity of calculations is reduced to those elements necessary for understanding the statistical concept. Optional technology use is paired with the core elements of the course, making this text a pragmatic and engaging introduction to the practice of social statistics.

Statistics for Psychology

Author: Arthur Aron,Elliot J Coups,Elaine Aron,Cole Publishing

Publisher: Pearson

ISBN: 9781292040295

Category: Psychology

Page: 724

View: 1352

DOWNLOAD NOW »

Emphasizing meaning and concepts, not just symbols and numbers Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. MyStatLab is an integral part of the Statistics course. MyStatLab gives students practice with hundreds of homework problems. Every problem includes tools to help students understand and solve each problem - and grades all of the problems for instructors. MyStatLab also includes tests, quizzes, eText, a Gradebook, a customizable study plan, and much more. Learning Goals Upon completing this book, readers should be able to: * Know both definitional and numerical formulas and how to apply them * Understand the logic behind each formula * Expose students to the latest thinking in statistical theory and application * Prepare students to read research articles * Learn how to use SPSS

An Introduction to Statistical Learning

with Applications in R

Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

Publisher: Springer Science & Business Media

ISBN: 1461471389

Category: Mathematics

Page: 426

View: 2978

DOWNLOAD NOW »

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Writing a Proposal for Your Dissertation

Guidelines and Examples

Author: Steven R. Terrell

Publisher: Guilford Publications

ISBN: 1462523021

Category: Language Arts & Disciplines

Page: 282

View: 4959

DOWNLOAD NOW »

This user-friendly guide helps students get started on--and complete--a successful doctoral dissertation proposal by accessibly explaining the process and breaking it down into manageable steps. Steven R. Terrell demonstrates how to write each chapter of the proposal, including the problem statement, purpose statement, and research questions and hypotheses; literature review; and detailed plan for data collection and analysis. Of special utility, end-of-chapter exercises serve as building blocks for developing a full draft of an original proposal. Numerous case study examples are drawn from across the social, behavioral, and health science disciplines. Appendices present an exemplary proposal written three ways to encompass quantitative, qualitative, and mixed-methods designs. User-Friendly Features *"Let's Start Writing" exercises leading up to a complete proposal draft. *"Do You Understand?" checklists of key terms plus an end-of-book glossary. *End-of-chapter quizzes with answers. *Case study examples from education, psychology, health sciences, business, and information systems. *Sample proposal with three variants of the methods chapter: quantitative, qualitative, and mixed methods.

Research Methods, Statistics, and Applications

Author: Kathrynn A. Adams,Eva K. Lawrence

Publisher: SAGE Publications

ISBN: 1506350461

Category: Social Science

Page: 672

View: 7001

DOWNLOAD NOW »

This updated Second Edition of Research Methods, Statistics, and Applications consistently integrates methods and statistics to prepare students for both graduate work and critical analysis of research as professionals and informed citizens. Maintaining the conversational writing style, multiple examples, and hands-on applications of key concepts that made the first edition so accessible, Kathrynn A. Adams and Eva K. Lawrence enhance the new edition with additional coverage of online data collection, inferential statistics, and regression and ANOVA, as well as a wide range of diverse examples. In every chapter, the authors develop and apply research topics and examples from the current research literature across all aspects of the research process. New to this Edition New diverse examples from current research literature in criminal justice, politics, education, and counseling expose students to different research designs in the social sciences and demonstrate commonalities. New chapter-ending The Big Picture sections with appropriate charts and tables encourage students to consider decisions about specific statistical analyses. Two separate chapters (Inferential Statistics and Comparing Your Sample to a Known or Expected Score) now allow instructors to focus on the theoretical concepts associated with inferential statistics before introducing each specific inferential statistic to enhance student understanding. Expanded coverage of inferential statistics includes more discussion of APA guidelines for appropriate statistics and more focus on effect sizes and confidence intervals. New consistent headings make it easy for students to quickly locate information and for instructors to identify sections they may wish to focus on, skip, or present in a different order.

Statistical Methods for Psychology

Author: David Howell

Publisher: Cengage Learning

ISBN: 1111835489

Category: Psychology

Page: 792

View: 7531

DOWNLOAD NOW »

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book’s success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.