Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 630

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Generic Qualitative Approaches: Pitfalls and Benefits of Methodological Mixology

Open access
Kahlke, Renate M.·2014·International Journal of Qualitative Methods

Abstract

Generic qualitative research studies are those that refuse to claim allegiance to a single established methodology. There has been significant debate in the qualitative literature regarding the extent to which rigour can be preserved outside of the guidelines of an established methodology. This article offers a starting place for researchers interested in entering the literature on generic qualitative approaches and offers some guidance to help researchers appreciate the advantages of using a generic approach and navigate the potential pitfalls. Given that generic approaches are, by definition, less defined and established, this article begins by defining generic qualitative approaches, including the descriptive qualitative approach and interpretive description subcategories. It then outlines key critiques of generic studies present in the literature, describes the benefits of generic approaches, and suggests ways in which the issues raised in critiques might be mediated.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/160940691401300119

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 34 references

Cited by

See all 630

Metadata

Authors
Kahlke, R. M.
Venue
International Journal of Qualitative Methods
Published
2014-02
Volume
13
Issue
1
Pages
37-52
ISSN
1609-4069 (ISSN-L)
OpenAlex
W1507845786
Cited by
630
References
34
FWCI
90.54
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Generic Qualitative Approaches: Pitfalls and Benefits of Methodological Mixology. https://app.cochat.ai/papers/10.1177/160940691401300119
The paper
Kahlke, R. M. (2014). Generic Qualitative Approaches: Pitfalls and Benefits of Methodological Mixology. International Journal of Qualitative Methods. https://doi.org/10.1177/160940691401300119

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.