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.
Autorentext
By Gary M. Klass
Zusammenfassung
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.
Inhalt
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