Strategies

Study dropout with designs and analyses that capture proximal precipitating events alongside long-term risks

Strategy · All strategies
Evidence · 6 claims (6 for) · 2 studies (1 review, 1 associational), q1–q2 · 0 of 2 report an effect size · 6 claims rest on one study

Description

The article recommends combining theoretical and methodological developments to study the interplay of early risks and proximal precipitants. It revives Singer and Willet's call for event history analysis to model "distal and proximal predictors of dropout," and argues prospective studies need more frequent assessments and broader coverage of between-wave events, while retrospective studies need credible comparison groups of similar students who do not drop out. Researchers should also examine configurations and accumulation of stressors rather than isolated events.

Design Implications

Context

Requirements

Constraints

Target Learners

Target Learning Goals

Affordances

Claims

Examples

-

Key Sources

Page metadata
Field Value
type strategy
id capture-proximal-events-in-dropout-research
title Study dropout with designs and analyses that capture proximal precipitating events alongside long-term risks
description The article recommends combining theoretical and methodological developments to study the interplay of early risks and proximal precipitants.
status review
generated by process:wiki-ingest on 2026-10-21
trust unverified — no one has confirmed this page's content
sources 1 — dupéré-2014

Frontmatter is the page's machine-readable record — see the Schema & Guide.