NCBI PubMed Central
open access
Understanding when mixture models effectively identify careless responding: Simulation and validity evidence.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Neurocomputational Underpinnings of Psychological and Behavioral Responses to Unintended Harm#385675
- More than just noise: careless responding and its systematic effects on reliability, validity, and measurement invariance.#242474
- Faking in high-stakes personality assessments: A response-time-based latent response mixture modeling approach / Timo Seitz, Esther Ulitzsch#783993
- Triangulating Careless Responding: Quantitative Models Meet Qualitative Insights on Response Processes#1169038
- Triangulating Careless Responding: Quantitative Models Meet Qualitative Insights on Response Processes#1167797
Record · ID 1299757
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive