Temporal Focus and Random Error in Cross-Cultural Hypothesis Tests
- 1 February 1975
- journal article
- Published by SAGE Publications in Behavior Science Research
- Vol. 10 (1) , 19-36
- https://doi.org/10.1177/106939717501000102
Abstract
Murdock and White (1969) have argued that in cross-cultural hypothesis tests where the variables measured are not focused (pinpointed in space and time to a single local community), we cannot assume functional relation ships between those variables. Since most of the published cross-cultural studies do not report focusing, Murdock and White cast doubt on the find ings of a few hundred studies. I argue that focusing should be used to increase data quality, but that a lack of focus only increases the amount of random measurement error, which tends to lower correlations. Therefore, if focusing is not applied and a significant correlation is found, it means that the actual association is probably even higher than the one found. This was tested by coding two variables, once with and once without a temporal focus. Both correlations were statistically significant, but the time- focused correlation was 23 percent higher. The test was then repeated on a second sample, drawn from a different universe, and similar results were found. In this instance, the time-focused correlation was 13 percent higher.Keywords
This publication has 15 references indexed in Scilit:
- Settlement Patterns and Community Organization: Cross-Cultural Codes 3Ethnology, 1972
- Infancy and Early Childhood: Cross-Cultural Codes 2Ethnology, 1971
- The Conditions Favoring Matrilocal Versus Patrilocal ResidenceAmerican Anthropologist, 1971
- Subsistence Economy and Supportive Practices: Cross-Cultural Codes 1Ethnology, 1970
- Standard Cross-Cultural SampleEthnology, 1969
- A Preliminary Bibliography of Cross-Cultural StudiesBehavior Science Notes, 1969
- Internal War: A Cross‐Cultural Study1American Anthropologist, 1968
- Large-Sample Covariance Analysis when the Control Variable is FallibleJournal of the American Statistical Association, 1960
- The Fitting of Straight Lines when Both Variables are Subject to ErrorJournal of the American Statistical Association, 1959
- Errors in VariablesRevue de l'Institut International de Statistique / Review of the International Statistical Institute, 1954