Power and sample size determination in the Rasch model: evaluation of the robustness of a numerical method to non-normality of the latent trait.
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Measuring Constructs in Family Science: How Can Item Response Theory Improve Precision and Validity?Power and sample size determination for the group comparison of patient-reported outcomes using the Rasch model: impact of a misspecification of the parameters.Evaluating and Quantifying User and Carer Involvement in Mental Health Care Planning (EQUIP): Co-Development of a New Patient-Reported Outcome Measure.Item response theory analysis of the Lichtenberg Financial Decision Screening Scale.A Simulation Study to Assess the Effect of the Number of Response Categories on the Power of Ordinal Logistic Regression for Differential Item Functioning Analysis in Rating Scales.Power and sample size determination for group comparison of patient-reported outcomes using polytomous Rasch models.
P2860
Power and sample size determination in the Rasch model: evaluation of the robustness of a numerical method to non-normality of the latent trait.
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2014 nî lūn-bûn
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2014年の論文
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2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
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2014年论文
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2014年论文
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name
Power and sample size determin ...... normality of the latent trait.
@en
type
label
Power and sample size determin ...... normality of the latent trait.
@en
prefLabel
Power and sample size determin ...... normality of the latent trait.
@en
P2093
P2860
P1433
P1476
Power and sample size determin ...... -normality of the latent trait
@en
P2093
Alice Guilleux
Jean-Benoit Hardouin
Véronique Sébille
P2860
P304
P356
10.1371/JOURNAL.PONE.0083652
P407
P577
2014-01-10T00:00:00Z