Just Plain Data Analysis: Finding, Presenting, and Interpreting Social Science

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Book Title
Just Plain Data Analysis: Finding, Presenting, and Interpreting S
ISBN
9781442215085
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Bloomsbury Publishing USA
ISBN-10
1442215089
ISBN-13
9781442215085
eBay Product ID (ePID)
112766379

Product Key Features

Number of Pages
202 Pages
Language
English
Publication Name
Just Plain Data Analysis : Finding, Presenting, and Interpreting Social Science Data
Publication Year
2012
Subject
Reference, History & Theory, Public Policy / Social Policy, Statistics
Type
Textbook
Author
Gary M. Klass
Subject Area
Political Science, Social Science
Format
Trade Paperback

Dimensions

Item Height
0.5 in
Item Weight
11.1 Oz
Item Length
9.1 in
Item Width
6.1 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2012-004619
Dewey Edition
23
Reviews
"This short book is a useful supplement to traditional statistics and research method texts....Recommended." -- Choice Reviews "In Just Plain Data Analysis, Gary Klass analyzes simple statistics that involve sophisticated reasoning. This book cuts through paradoxes, fallacies and socially-constructed statistics to uncover the basic elements of data analysis. A must-read for anyone interested in statistical literacy." --Milo Schield, director of the W. M. Keck Statistical Literacy Project, Augsburg College "As a teacher of research methods, I have been waiting for a book like Just Plain Data Analysis. By focusing on finding, presenting and interpreting data, Klass encourages students to develop the critical thinking skills that they will need once they leave the university. The writing is clear and the examples are excellent. The discussion of reliability, validity, and ecological fallacy is the best I have read in an undergraduate text. The many table and chart examples will help students improve their skills." --Bill Wilkerson, College at Oneonta, SUNY "With humor and political balance, Just Plain Data Analysis offers a pithy guide to finding, presenting and interpreting social science data ranging from crime to elections. Recommended for students, teachers and policymakers who want to understand where the data comes from and how to use it responsibly." --Mark Maier, author of The Data Game: Controversies in Social Science Statistics "Just Plain Data Analysis: Finding, Presenting, and Interpreting Social Science by Gary M. Klass is an exploration of the types of quantitative research (which is rooted in data and statistical analysis) that can be used to draw conclusions about such social science issues as crime rates and measuring educational achievement. Klass uses examples of statistical claims to demonstrate how changing the time frame for data collection or looking at different correlations can result in varying or misleading statements. He also has chapters to how to tabulate and display numbers and how to use graphical presentation effectively." -- American Libraries, As a teacher of research methods, I have been waiting for a book like Just Plain Data Analysis. By focusing on finding, presenting and interpreting data, Klass encourages students to develop the critical thinking skills that they will need once they leave the university. The writing is clear and the examples are excellent. The discussion of reliability, validity, and ecological fallacy is the best I have read in an undergraduate text. The many table and chart examples will help students improve their skills., In Just Plain Data Analysis, Gary Klass analyzes simple statistics that involve sophisticated reasoning. This book cuts through paradoxes, fallacies and socially-constructed statistics to uncover the basic elements of data analysis. A must-read for anyone interested in statistical literacy., With humor and political balance, Just Plain Data Analysis offers a pithy guide to finding, presenting and interpreting social science data ranging from crime to elections. Recommended for students, teachers and policymakers who want to understand where the data comes from and how to use it responsibly., Just Plain Data Analysis: Finding, Presenting, and Interpreting Social Science by Gary M. Klass is an exploration of the types of quantitative research (which is rooted in data and statistical analysis) that can be used to draw conclusions about such social science issues as crime rates and measuring educational achievement. Klass uses examples of statistical claims to demonstrate how changing the time frame for data collection or looking at different correlations can result in varying or misleading statements. He also has chapters to how to tabulate and display numbers and how to use graphical presentation effectively., This short book is a useful supplement to traditional statistics and research method texts....Recommended.
Grade From
College Freshman
Illustrated
Yes
Dewey Decimal
519.5
Grade To
College Graduate Student
Table Of Content
Preface Chapter 1: Measuring Political, Social and Economic Conditions Chapter 2: Measuring Racial and Ethnic Inequality Chapter 3: Statistical Fallacies, Paradoxes and Threats to Validity Chapter 4: Examining a Relationship: New York City Crime Rates Chapter 5: Tabulating the Data and Writing about the Numbers Chapter 6: The Graphical Display of Data Chapter 7: Voting and Elections Chapter 8: Measuring Educational Achievement Chapter 9: Measuring Poverty and Inequality
Synopsis
Just Plain Data Analysis is designed to teach students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way., Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.
LC Classification Number
HA29.K58 2012

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