השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| פיתוח שאלון× | תיאוריית תגובת פריט (IRT)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1991–1995 | 1952–1968 |
| הוגה השיטה≠ | Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| סוג≠ | Multi-step methodological framework | Probabilistic measurement model |
| מקור מכונן≠ | DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| כינויים | questionnaire construction, instrument development, measurement scale construction, psychometric scale building | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| קשורות | 5 | 5 |
| תקציר≠ | Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGateמערך נתונים ↗ |
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