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

Informationen zum Autor Gary M. Klass teaches public policy, race and ethnicity, and quantitative research methods at Illinois State University. He is past president of the APSA Computers and Multimedia Section and co-editor of the Political Science Research and Teaching List. Klappentext 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. Inhaltsverzeichnis 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

Product details

• Authors: Gary M. Klass, Klass Gary M.
• Publisher: Rowman and Littlefield
• Languages: English
• Age Recommendation: ages 18 to 22
• Product format: Hardback
• Released: 13.04.2012
• EAN: 9781442215078
• ISBN: 978-1-4422-1507-8
• No. of pages: 202
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; Non-fiction book > Dictionaries, reference works > Dictionaries, encyclopaedias; Social sciences, law, business > Political science > Political science and political education; POLITICAL SCIENCE / History & Theory, SOCIAL SCIENCE / Research, MATHEMATICS / Probability & Statistics / General, SOCIAL SCIENCE / Statistics, Political science & theory, Social research & statistics, Political science and theory, Probability & statistics, Probability and statistics, Social research and statistics, Data analysis: general, Data science and analysis: general