השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| פיתוח סולם אורדינלי× | תיאוריית תגובת פריט (IRT)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1932 (Likert format); 1990s–2000s (ordinal-specific psychometric methods) | 1952–1968 |
| הוגה השיטה≠ | Rensis Likert (foundational ordinal response format); modern ordinal methodology codified by DeVellis and Finney & DiStefano | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| סוג≠ | Scale construction methodology | Probabilistic measurement model |
| מקור מכונן≠ | DeVellis, R. F. (2017). 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 | Likert scale development, ordinal measurement scale construction, ordinal item development, polytomous scale construction | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| קשורות | 5 | 5 |
| תקציר≠ | Ordinal scale development is the systematic construction and validation of multi-item measurement instruments whose response options form an ordered but not necessarily equal-interval sequence — most commonly Likert-type formats (e.g., 1 = Strongly Disagree to 5 = Strongly Agree). It applies psychometric techniques that respect the ordinal nature of items rather than treating them as continuous. | 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. |
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