Inductive and Deductive: Ambiguous Labels in Qualitative Content Analysis

Author:

Armat Mohammad Reza1,Assarroudi Abdolghader2,Rad Mostafa3,Sharifi Hassan4,Heydari Abbas5

Affiliation:

1. Nursing instructor, PhD candidate in Nursing, Department of Medical-Surgical Nursing, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojnurd, Iran

2. PhD in Nursing, Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, Iran

3. PhD, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, Iran

4. PhD candidate, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran

5. PhD, Evidence-Based Caring Research Center, Professor, Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran

Abstract

The propounded dualism in Content Analysis as quantitative and qualitative approaches is widely supported and justified in nursing literature. Nevertheless, another sort of dualism is proposed for Qualitative Content Analysis, suggesting the adoption of "inductive" and/or "deductive" approaches in the process of qualitative data analysis. These approaches have been referred and labelled as "inductive" or "conventional"; and "deductive" or "directed" content analysis in the literature. Authors argue that these labels could be fallacious, and may lead to ambiguity; as in effect, both approaches are employed with different dominancy during the process of any Qualitative Content Analysis. Thus, authors suggest more expressive, comprehensive, yet simple labels for this method of qualitative data analysis.

Publisher

Nova Southeastern University

Subject

Education,Cultural Studies,Social Psychology

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