1. SIGNIFICANCE TESTS RECONSIDERED.
- Author
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Morrison, Denton E. and Henkel, Ramon E.
- Subjects
ERROR analysis in mathematics ,SOCIOLOGY ,HYPOTHESIS ,DECISION making ,RESEARCH ,SOCIOLOGISTS - Abstract
Because highly technical expositions of significance tests are readily available, sociologists will proceed from an elementary and non-technical statement that emphasizes the meaning and interpretation of the tests. First and foremost, a test of significance is a formal procedure for making a decision between two hypotheses about some characteristic of a population parameter on the basis of knowledge obtained from a sample statistic of that population. Either the null hypothesis or the alternative hypothesis may be derived from the substantive theory in question, though it is conventional that the theory being tested that is, the researcher's hunch, or the possibility he thinks most interesting is identified with the alternative hypothesis. This means that null hypotheses are usually set up for the express purpose of seeing if there is empirical warrant for their rejection or nullification so that the alternative hypothesis can be accepted hence the term null hypothesis. Testing for significance involves a comparison of the difference between the sample statistic and the parameter specified by the null hypothesis with a theoretically determined sampling distribution. This comparison allows estimation of how often such a difference would occur if difference were due to random errors in the sample selection process sample error.
- Published
- 1969