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| Model DINA× | Model DINO× | Analisis Perbandingan Kualitatif Set Kabur× | |
|---|---|---|---|
| Bidang | Psikometrik | Psikometrik | Psikometrik |
| Keluarga | Latent structure | Latent structure | Latent structure |
| Tahun asal≠ | 2001 | 2006 | 2000 |
| Pengasas≠ | Brian Junker, Klaas Sijtsma | James Templin, Russell Henson | Charles Ragin |
| Jenis≠ | Discrete latent class model | Disjunctive latent class model | Set-theoretic configurational method |
| Sumber perintis≠ | Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272. DOI ↗ | Templin, J., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287-305. DOI ↗ | Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗ |
| Alias≠ | DINA | DINO | fsQCA, FSQCA |
| Berkaitan | 4 | 4 | 4 |
| Ringkasan≠ | The DINA Model (Deterministic Inputs, Noisy Outputs) is a cognitive diagnostic model developed by Junker and Sijtsma (2001) that classifies examinees into latent skill classes based on their item response patterns. DINA assumes a deterministic relationship between skill mastery and correct responses, with probabilistic error accounting for guessing and slips. | The DINO Model (Deterministic Inputs, Noisy Outputs—Disjunctive) is a cognitive diagnostic model that relaxes DINA's conjunctive (AND) skill requirement logic. DINO assumes an examinee only needs to master one of multiple possible skill pathways to answer an item correctly, making it suitable for scenarios where skills are substitutable or alternative routes to success exist. | Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables. |
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