Abstract
The American Psychological Association Task Force recommended that researchers always report and interpret effect sizes for quantitative data. However, no such recommendation was made for qualitative data. Thus, the first objective of the present paper is to provide a rationale for reporting and interpreting effect sizes in qualitative research. Arguments are presented that effect sizes enhance the process of verstehen/hermeneutics advocated by interpretive researchers. The second objective of this paper is to provide a typology of effect sizes in qualitative research. Examples are given illustrating various applications of effect sizes. For instance, when conducting typological analyses, qualitative analysts only identify emergent themes; yet, these themes can be quantitized to ascertain the hierarchical structure of emergent themes. The final objective is to illustrate how inferential statistics can be utilized in qualitative data analyses. This can be accomplished by treating words arising from individuals, or observations emerging from a particular setting, as sample units of data that represent the total number of words/observations existing from that sample member/context. Heuristic examples are provided to demonstrate how inferential statistics can be used to provide more complex levels of verstehen than is presently undertaken in qualitative research.
| Original language | English |
|---|---|
| Pages (from-to) | 393-409 |
| Number of pages | 17 |
| Journal | Quality and Quantity |
| Volume | 37 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Nov 2003 |
| Externally published | Yes |
Keywords
- Effect sizes
- Inter-respondent matrix
- Intra-respondent matrix
- Meta-theme
- Qualitative research
- Quantitize
ASJC Scopus subject areas
- Statistics and Probability
- General Social Sciences