The ecology of human behavior
A network perspective
Bibliographic Data
| ID | 4563780 |
|---|---|
| Authors | Rafael Quintana (0000-0003-4776-9362, University of Kansas, corresponding author) |
| Year | 2022 |
| Volume | 15 |
| Issue | 1 |
| Pages | 42-61 |
| Publication date | 2022-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Methodological Innovations (JOURNAL) |
| Journal identifiers | ISSN: 2059-7991 • E-ISSN: 2059-7991 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20597991221077911 |
| OpenAlex | W4220809910 |
| Language | EN |
| Citations received | 3 |
| References cited | 64 |
There is a broad agreement that some of the most relevant problems in the social and behavioral sciences are fundamentally structural, and as a consequence require structural explanations. Yet researchers disagree on what a structural explanation is, and what are the specific questions that can only be answered through a structural lens. In this study, I shed some light on the nature of structural explanations by distinguishing between three types of structural questions related to structural proximity, structural cohesion and structural importance. In addition, I show how graphical methods can be used to answer these questions. In particular, I argue that structure learning algorithms can help us gain some understanding regarding causal structures, and network science can help us understand the organization of these structures. I provide an empirical application of these methods using a nationally representative dataset with a wide range of factors related to child development
Biology · Cognitive science · Data science · Epistemology · Lens (geology · Management science · Perspective (graphical · Through-the-lens metering · Cognitive Science and Mapping · Complex Network Analysis Techniques · Computer Science · Engineering · Mental Health Research Topics · Psychology · Artificial Intelligence · Ecology
Counterfactuals and Causal Inference
Causality
Causation, Prediction, and Search
Unsimple Truths
What do centrality measures measure in psychological networks?
What kinds of things are psychiatric disorders?
Deconstructing the construct
Value-added modeling
The behavioural constellation of deprivation
Mental disorders as networks of problems
The transactional model.
Finding and evaluating community structure in networks
Brain disorders? Not really
Environments in developmental perspective
Finding community structure in very large networks
Why Social Relationships Are Important for Physical Health
Network Analysis in the Social Sciences
Estimating psychological networks and their accuracy
Estimating causal effects of treatments in randomized and nonrandomized studies.
Network Analysis
The Bioecological Model of Human Development
Structural Equations with Latent Variables
What is the p -factor of psychopathology? Some risks of general factor modeling
Complexity A Guided Tour
The Nature of Race
Centrality and network flow
Networks of practices in critical consumption
Nested or Networked? Future Directions for Ecological Systems Theory
Causation and Causal Inference in Epidemiology
The Structure of Academic Achievement
Children's early approaches to learning and academic trajectories through fifth grade
Toward an experimental ecology of human development
Toward a Unified Theory of Causality
Race as a Bundle of Sticks
Understanding and misunderstanding randomized controlled trials
Epidemiology and the web of causation
Social Conditions As Fundamental Causes of Disease
Social Conditions as Fundamental Causes of Health Inequalities
The Race Discrimination System
Toward Some Fundamentals of Fundamental Causality
| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |