The effects of time frames on self-report
Marta Walentynowicz; Stefan Schneider; Arthur A. Stone · 2018 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: The degree to which episodic and semantic memory processes contribute to retrospective self-reports have been shown to depend on the length of reporting period. Robinson and Clore (2002) argued that when the amount of accessible detail decreases due to longer reporting periods, an episodic retrieval strategy is abandoned in favor of a semantic retrieval strategy. The current study further examines this shift between retrieval strategies by conceptually replicating the model of Robinson and Clore (2002) for both emotions and symptoms and by attempting to estimate the exact moment of
Abstract by Marta Walentynowicz; Stefan Schneider; Arthur A. Stone, PLoS ONE (2018) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Our Princess Is in Another Castle
Negative / Null Result ReportUsing Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial
Negative / Null Result ReportHow Replicable Are Links Between Personality Traits and Consequential Life Outcomes? The Life Outcomes of Personality Replication Project
Negative / Null Result ReportThe cross-cultural validity of posttraumatic stress disorder: implications for DSM-5
Negative / Null Result ReportPsychiatric and medical correlates of DSM‐5 eating disorders in a nationally representative sample of adults in the United States
Negative / Null Result ReportRomantic relationships and the physical and mental health of college students
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1371/journal.pone.0201655