Qualitative Data Analysis: A Compendium of Techniques and a Framework for Selection for School Psychology Research and Beyond

Nancy L. Leech, Anthony J. Onwuegbuzie

Research output: Contribution to journalArticlepeer-review

320 Citations (Scopus)

Abstract

Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, componential analysis, conversation analysis, discourse analysis, secondary analysis, membership categorization analysis, narrative analysis, qualitative comparative analysis, semiotics, manifest content analysis, latent content analysis, text mining, and microinterlocutor analysis. Moreover, the authors present a new framework for organizing these analysis techniques via the four major sources of qualitative data collected: talk, observations, drawings/photographs/videos, and documents. As such, the authors hope that our compendium of analytical techniques should help qualitative researchers in school psychology and beyond make informed choices for their data analysis tools.

Original languageEnglish
Pages (from-to)587-604
Number of pages18
JournalSchool Psychology Quarterly
Volume23
Issue number4
DOIs
Publication statusPublished - Dec 2008
Externally publishedYes

Keywords

  • analysis of observations
  • analysis of talk
  • analysis of visual representations
  • document analysis
  • qualitative analysis

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

Fingerprint

Dive into the research topics of 'Qualitative Data Analysis: A Compendium of Techniques and a Framework for Selection for School Psychology Research and Beyond'. Together they form a unique fingerprint.

Cite this