Complex realism in social research
Bibliographic Data
| ID | 4946958 |
|---|---|
| Authors | Malcolm Williams (0000-0001-7945-1194, Cardiff University, corresponding author), Wendy Dyer (0000-0002-8861-5549, Northumbria University) |
| Year | 2017 |
| Volume | 10 |
| Issue | 2 |
| Publication date | 2017-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Methodological Innovations (JOURNAL) |
| Journal identifiers | ISSN: 2059-7991 • E-ISSN: 2059-7991 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2059799116683564 |
| OpenAlex | W2772828331 |
| Language | EN |
| Citations received | 9 |
| References cited | 16 |
In recent years, both realism and complexity have begun to have methodological influence in social research. Yet for the most part, these have existed separately and have had limited impact on empirical research. In this article, we develop a theoretical argument for complex realism, grounded in an ontology of probability, that may be operationalised to demonstrate the reality of social change at a micro- and meso-level. We apply our conception of complex realism to an example using the method of longitudinal case-based cluster analysis to analyse the trajectories over time of male and female prisoners aged 18 and above who were at risk of self-harm
Argument (complex analysis · Cluster (spacecraft · Critical realism (philosophy of perception · Epistemology · Harm · Ontology · Realism · Social research · Social science · Sociology · Computer Science · Crime Patterns and Interventions · Health disparities and outcomes · Mental Health Research Topics · Philosophy · Psychology · Social Psychology
Naturalizing Semantics? Beyond Cognitive Neuro-Reductionism
Identity Expression—the Case of ‘Sakawa’ Boys in Ghana
Snitches get stitches
Being on both sides
Understanding cross-border crime
Quantification and realist methodologies
Case-based methods and agent-based modelling
Complex dynamic systems theory
Science curriculum-making for the Anthropocene
| Citations per year | 1.29 |
|---|---|
| Citation span | 2019 - 2025 (7) |
| Highly cited | No |