A Dialectical Approach to Formulating and Testing Social Science Theories
Assumptional Analysis
Bibliographic Data
| ID | 9889156 |
|---|---|
| Authors | Ralph H Kilmann (University of Pittsburgh, corresponding author) |
| Year | 1983 |
| Volume | 36 |
| Issue | 1 |
| Pages | 1-21 |
| Publication date | 1983-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Human Relations (JOURNAL) |
| Journal identifiers | ISSN: 0018-7267 • E-ISSN: 1741-282X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001872678303600101 |
| OpenAlex | W2123053461 |
| Language | EN |
| Citations received | 3 |
| References cited | 12 |
It is argued that the necessary step in the formulation of “good” theories and their subsequent testing and refinement is uncovering the relevant underlying assumptions that different scientists make concerning the nature of human behavior, social environments, and the interactions between these. Since assumptions are, by definition, implicit, unconscious, or even obscure, an explicit process is needed to examine this hidden domain. This paper presents such a process and illustrates how this dialectical approach can be utilized to facilitate advances in social science research
Cognitive science · Data science · Dialectic · Domain (mathematical analysis · Epistemology · Management science · Process (computing · Unconscious mind · Cognitive and psychological constructs research · Community Health and Development · Computer Science · Mathematics · Psychology · Social Representations and Identity
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,08 |
| Citation span | 1990 - 2004 (15) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |