About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

Robitzsch, Alexander

doi:10.20944/preprints202105.0699.v1

Cited by 5 publications

(2 citation statements)

References 26 publications

(38 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a side note, as shown by Robitzsch (2021), the latent RFM2 model in Equation 1 is theoretically equivalent (at population level) to the two-parameter logistic (2PL) model in IRT (e.g., Hambleton et al, 1991) bounded to the scale interval [0-1]; (at sample level, however, the 2PL realization of the RFM2 is complicated by practically inconvenient restrictions).…”

Section: Response Vector For Mastery Methods Of Standard Settingmentioning

confidence: 98%

The Response Vector for Mastery Method of Standard Setting

Dimitrov

2021

Educational and Psychological Measurement

View full text Add to dashboard Cite

Proposed is a new method of standard setting referred to as response vector for mastery (RVM) method. Under the RVM method, the task of panelists that participate in the standard setting process does not involve conceptualization of a borderline examinee and probability judgments as it is the case with the Angoff and bookmark methods. Also, the RVM-based computation of a cut-score is not based on a single item (e.g., marked in an ordered item booklet) but, instead, on a response vector (1/0 scores) on items and their parameters calibrated in item response theory or under the recently developed D-scoring method. Illustrations with hypothetical and real-data scenarios of standard setting are provided and methodological aspects of the RVM method are discussed.

show abstract

Section: Response Vector For Mastery Methods Of Standard Settingmentioning

confidence: 98%

The Response Vector for Mastery Method of Standard Setting

Dimitrov

2021

Educational and Psychological Measurement

View full text Add to dashboard Cite

show abstract

“…The latent normality assumption in ordinal FA is, unfortunately, often taken for granted, but it can be tested [18]. More flexible distributions could be identified from data (e.g., [19]). However, such a data-driven approach remains atheoretical, and it is questionable whether measurement models with more flexibly estimated distributions would be more appropriate and provide more valid results.…”

Section: Recurring Call For Ordinal Factor Analysismentioning

confidence: 99%

To Check or Not to Check? A Comment on the Contemporary Psychometrics (ConPsy) Checklist for the Analysis of Questionnaire Items

Robitzsch

2023

EJIHPE

View full text Add to dashboard Cite

In a recent paper, the first version of the contemporary psychometrics (ConPsy) checklist for assessing measurement tool quality has been published. This checklist aims to provide guidelines and references to researchers to assess measurement properties for newly developed measurement instruments. The ConPsy checklist recommends appropriate statistical methods for measurement instrument evaluation to guide researchers in instrument development and to support peer review. In this opinion article, I critically review some aspects of the checklist and question the usefulness of certain psychometric analyses in research practice.

show abstract

Relating the Ramsay Quotient Model to the Classical D-Scoring Rule

Robitzsch

2023

Analytics

Self Cite

View full text Add to dashboard Cite

In a series of papers, Dimitrov suggested the classical D-scoring rule for scoring items that give difficult items a higher weight while easier items receive a lower weight. The latent D-scoring model has been proposed to serve as a latent mirror of the classical D-scoring model. However, the item weights implied by this latent D-scoring model are typically only weakly related to the weights in the classical D-scoring model. To this end, this article proposes an alternative item response model, the modified Ramsay quotient model, that is better-suited as a latent mirror of the classical D-scoring model. The reasoning is based on analytical arguments and numerical illustrations.

show abstract

About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

Cited by 5 publications

References 26 publications

The Response Vector for Mastery Method of Standard Setting

The Response Vector for Mastery Method of Standard Setting

To Check or Not to Check? A Comment on the Contemporary Psychometrics (ConPsy) Checklist for the Analysis of Questionnaire Items

Relating the Ramsay Quotient Model to the Classical D-Scoring Rule

Contact Info

Product

Resources

About