J Dale Oliver
Biographic Data
| ID | 9251747 |
|---|---|
| NAME | J Dale Oliver |
| GIVEN NAMES | J Dale |
| FAMILY NAME | Oliver |
| SIGNATURE | OLIVER J D |
| AFFILIATIONS | Virginia Tech |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1983 |
| LATEST PUBLICATION YEAR | 1985 |
| H-INDEX | 0 |
How Large Should the Sample Be? Part II—The One-Sample Case for Survey Research
In a previous article, the authors discuss the importance of the effect size and the Type II error as factors in determining the sample size (Hinkle and Oliver, 1983). Tables were developed and presented for one-factor designs with k levels (2 ≤ k ≤ 8). However, between the time the article was submitted and its publication, the authors presented these tables at several national and regional meetings. A recurring question from colleagues attendin…
How Large Should the Sample be? A Question with no Simple Answer? or
A recurring problem in behavioral science research is that of determining the appropriate sample size before conducting a research investigation. The more common approaches to this problem have been to apply indiscriminantly the formulae used in survey research without considering the factors necessary for using these formulae. The most important of these factors is the Effect Size. In this paper, tables for the appropriate sample sizes are prese…
No prominent works on this page.
How Large Should the Sample be? A Question with no Simple Answer? or
A recurring problem in behavioral science research is that of determining the appropriate sample size before conducting a research investigation. The more common approaches to this problem have been to apply indiscriminantly the formulae used in survey research without considering the factors necessary for using these formulae. The most important of these factors is the Effect Size. In this paper, tables for the appropriate sample sizes are prese…
How Large Should the Sample Be? Part II—The One-Sample Case for Survey Research
In a previous article, the authors discuss the importance of the effect size and the Type II error as factors in determining the sample size (Hinkle and Oliver, 1983). Tables were developed and presented for one-factor designs with k levels (2 ≤ k ≤ 8). However, between the time the article was submitted and its publication, the authors presented these tables at several national and regional meetings. A recurring question from colleagues attendin…
Mathematics (2 works) · Psychology (2 works) · Sample (material) (2 works) · Sample size determination (2 works) · Statistics (2 works) · Behavioral and Psychological Studies (1 work) · Cognitive and psychological constructs research (1 work) · Computer Science (1 work) · Context (archaeology) (1 work) · Econometrics (1 work)