Precision Journalism: A Reporter's Introduction to Social Science MethodsRowman & Littlefield, 2002 - 263 Seiten Meyer (journalism, U. of North Carolina at Chapel Hill) advocates for the use of social science research methods in the reporting of news stories. As an example, he cites how a reporter analyzed storm damage inspections, property tax rolls, Dade County's Building Master File, and the county's Building and Zoning database to show how relative levels of damage from Hurricane Andrew were directly related to weakened building codes. He describes the use of surveys, databases, computer analyses, and other tools of the social sciences in analyzing and presenting information. The previous edition of this work was titled The New Precision Journalism. Annotation copyrighted by Book News, Inc., Portland, OR |
Inhalt
The Journalism We Need | 1 |
Using Numbers Rationally | 19 |
Some Elements of Data Analysis | 37 |
Harnessing the Power of Statistics | 51 |
Computers | 79 |
Surveys | 99 |
Lurking Variables Part I | 131 |
Lurking Variables Part II | 155 |
Experiments In the Lab in the Field and in Nature | 175 |
Databases | 191 |
How to Analyze an Election | 211 |
The Politics of Precision Journalism | 231 |
Three Things to Measure with Census Data | 247 |
| 253 | |
About the Author | |
Andere Ausgaben - Alle anzeigen
Precision Journalism: A Reporter's Introduction to Social Science Methods Philip Meyer Eingeschränkte Leseprobe - 2002 |
Precision Journalism: A Reporter's Introduction to Social Science Methods Philip Meyer Keine Leseprobe verfügbar - 2002 |
Häufige Begriffe und Wortgruppen
analysis asked basic behavior better calculate called Carolina census Chapel Hill compared comparison correlation crosstab data points database effect election engine displacement evaluate example exit polls expected figure formula Gallup game theory George Gallup give Hispanic household income interesting interview journalists less look lurking variables mainframe mean measure method Miami Herald militancy newspaper newspaper circulation odds ratio percent chance percentage points person personal computer political pollsters population precincts precision journalism predict presidential probability problem question random records regression respondent riot sampling error scale scatterplot Scott's pi simple Snow Village SPSS standard statistical story straight line survey telephone theory things tion turnout undecided United USA Today variable variance vote voters weight