The Effectiveness of Random, Consecutive Day and Constructed Week Sampling in Newspaper Content Analysis

Journalism & Mass Communication Quarterly

Volumn 70, Issue 1, 1993, Pages 133-139

  Riffe, Daniel ^a   Aust, Charles F ^b   Lacy, Stephen R ^c  

^a NORTHERN ILLINOIS UNIVERSITY   (United States)

^b College of Communication at Alabama ^*  (United States)

^c MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84970723006     PISSN: 10776990     EISSN: 2161430x     Source Type: Journal    
DOI: 10.1177/107769909307000115     Document Type: Review

References (9)

1. Robert L. Jones and Roy E. Carter, Jr., “Some Procedures for Estimating ‘News Hole’ in Content Analysis,” Public Opinion Quarterly, 23:390-403 (Fall 1959).
2. Guido H. Stempel III, “Sample Size for Classifying Subject Matter in Dailies,” Journalism Quarterly, 29:333-334 (Summer 1952).
3. Guido H. Stempel III, “Content Analysis,” in Guido H. Stempel III and Bruce H. Westley, eds., Research Methods in Mass Communication, 2nd Ed., (Englewood Cliffs: Prentice Hall, 1989), 119-131.
4. Alexander Mintz, The Feasabillty of the Use of Samples in Content Analysis,” in Harold Lasswell, Nathan Leites and associates, Language of Politics (New York: George W. Stewart, Publishers, Inc., 1949). 127-152.
5. Mintz, “Feasability of the Use of Samples,” 133.
6. Stempel, “Sample Size,” 334.
7. Stempel, “Sample Size,” 333.
8. F. James Davis and Lester W. Turner, “Sample Efficiency in Quantitative Newspaper Content Analysis,” Public Opinion Quarterly, 15:762-763 (Winter 1951).
9. The Central Limits Theorem states that the distribution of sample means approaches a normal distribution as the size of sample increases, no matter what the distribution of the population, and is the basis for making inferences to unknown populations from randomly selected samples. See Hubert M. Blalock Jr., Social Statistics, rev. 2nd ed., (New York: McGraw-Hill, 1979), 183-186.