2017
DOI: 10.5539/jedp.v8n1p14
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Using Item Response Theory to Evaluate Self-directed Learning Readiness Scale

Abstract: Item Response Theory becomes one of the most popular methods for instruments development and evaluation methods. This baseline study is a self-directed learning readiness (SDLR) 40 items scale with data from 648 undergraduate psychology female students attending Qassim University in Saudi Arabia through randomized selection to evaluate an SDLR scale at item and scale levels using GRM. Results provide more detailed diagnostic information to modulate the scale. GRM analysis led to the detection of two locally de… Show more

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Cited by 3 publications
(4 citation statements)
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“…The Graded Response Model (GRM) is a scoring model that applies a grading system to assess the answers to questions (Mateucci & Stracqualursi, 2006;Morse et al, 2012). GRM is one of the models developed to handle scoring on polytomic items (LaHuis et al, 2011;Momani, 2017). Based on the GRM scoring method, students will get a maximum score of 3 if they can complete stages 1, 2, and 3 correctly.…”
Section: Proportionalmentioning
confidence: 99%
“…The Graded Response Model (GRM) is a scoring model that applies a grading system to assess the answers to questions (Mateucci & Stracqualursi, 2006;Morse et al, 2012). GRM is one of the models developed to handle scoring on polytomic items (LaHuis et al, 2011;Momani, 2017). Based on the GRM scoring method, students will get a maximum score of 3 if they can complete stages 1, 2, and 3 correctly.…”
Section: Proportionalmentioning
confidence: 99%
“…On the contrary, if the items are endorsed by only a few respondents, scores in the lower level of the trait will be estimated with less precision (more error) than scores in the higher end. Founded on the above-mentioned limitation, researchers have called for a more complicated model and new theories in testing the psychometric properties of new instruments (Momani, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…When subjected to IRT testing, Momani (2018) reported that Fisher's SDLR did not produce an acceptable goodness of fit [M2 = 17937.95, Prob. = 0.0001, root mean square error of approximation (RMSEA) = 0.21].…”
Section: Oddi Continuing Learning Inventory (Ocli)mentioning
confidence: 99%
“…= 0.0001, RMSEA = 0.00). The authors recommended further psychometric evaluation and review of both quantitative and qualitative properties (Momani, 2018).…”
Section: Oddi Continuing Learning Inventory (Ocli)mentioning
confidence: 99%