How Large Should the Sample Be? Part II—The One-Sample Case for Survey Research
Bibliographic Data
| ID | 20472259 |
|---|---|
| Authors | Dennis E Hinkle (Virginia Tech), J Oliver (0000-0003-0152-436X, Virginia Tech), J Dale Oliver (Virginia Tech), Charles A Hinkle (Virginia Tech) |
| Year | 1985 |
| Volume | 45 |
| Issue | 2 |
| Pages | 271-280 |
| Publication date | 1985-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/001316448504500210 |
| OpenAlex | W1906666787 |
| Language | EN |
| Citations received | 1 |
| References cited | 5 |
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 attending these meetings was how these tables could be used for the one-sample case ( k = 1). Since they could not be, we were encouraged to develop comparable tables for the one-sample case. Thus, the purpose of this paper is to readdress the sample size question and to present these tables
Physics · Sample (material) · Sample size determination · Statistics · Mathematics · Psychology · Psychometric Methodologies and Testing · Statistical Methods and Applications
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.03 |
| Citation span | 1994 - 1994 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |