The choice of the ability estimate with asymptotically correct standardized person-fit statistics

2016 ◽  
Vol 69 (2) ◽  
pp. 175-193 ◽  
Author(s):  
Sandip Sinharay
Keyword(s):  
Person Fit ◽  
Fit Statistics ◽  
Ability Estimate

The Null Distribution of Person-Fit Statistics for Conventional and Adaptive Tests

1999 ◽  
Vol 23 (4) ◽  
pp. 327-345 ◽  
Author(s):  
Edith M. L. A. Van Krimpen-Stoop ◽  
Rob R. Meijer
Keyword(s):  
Null Distribution ◽  
Person Fit ◽  
Adaptive Tests ◽  
Fit Statistics

scholarly journals The Effect of Person Misfit on Item Parameter Estimation and Classification Accuracy: A Simulation Study

2020 ◽  
Vol 10 (11) ◽  
pp. 324
Author(s):  
Amin Mousavi ◽  
Ying Cui
Keyword(s):  
Item Parameter ◽  
Response Patterns ◽  
Fit Indices ◽  
Person Fit ◽  
High Performing ◽  
Fit Statistics ◽  
Aberrant Response Patterns ◽  
Item Parameters ◽  
Item Level ◽  
Item Parameter Estimation

Often, important decisions regarding accountability and placement of students in performance categories are made on the basis of test scores generated from tests, therefore, it is important to evaluate the validity of the inferences derived from test results. One of the threats to the validity of such inferences is aberrant responding. Several person fit indices were developed to detect aberrant responding on educational and psychological tests. The majority of the person fit literature has been focused on creating and evaluating new indices. The aim of this study was to assess the effect of aberrant responding on the accuracy of estimated item parameters and refining estimations by using person fit statistics by means of simulation. Our results showed that the presence of aberrant response patterns created bias in the both b and a parameters at the item level and affected the classification of students, particularly high-performing students, into performance categories regardless of whether aberrant response patterns were present in the data or were removed. The results differed by test length and the percentage of students with aberrant response patterns. Practical and theoretical implications are discussed.

scholarly journals Derivation and Applicability of Asymptotic Results for Multiple Subtests Person-Fit Statistics

2016 ◽  
Vol 40 (4) ◽  
pp. 274-288 ◽  
Author(s):  
Casper J. Albers ◽  
Rob R. Meijer ◽  
Jorge N. Tendeiro
Keyword(s):  
Person Fit ◽  
Asymptotic Results ◽  
Fit Statistics

scholarly journals Person-fit feedback on inconsistent symptom reports in clinical depression care

2017 ◽  
Vol 48 (11) ◽  
pp. 1844-1852 ◽  
Author(s):  
Rob B. K. Wanders ◽  
Rob R. Meijer ◽  
Henricus G. Ruhé ◽  
Sjoerd Sytema ◽  
Klaas J. Wardenaar ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Depressive Symptomatology ◽  
Clinical Care ◽  
Self Report ◽  
Clinical Usefulness ◽  
Person Fit ◽  
Psychomotor Slowing ◽  
Fit Statistics ◽  
Symptom Reports

BackgroundDepressive patients can present with complex and different symptom patterns in clinical care. Of these, some may report patterns that are inconsistent with typical patterns of depressive symptoms. This study aimed to evaluate the validity of person-fit statistics to identify inconsistent symptom reports and to assess the clinical usefulness of providing clinicians with person-fit score feedback during depression assessment.MethodsInconsistent symptom reports on the Inventory of Depressive Symptomatology Self-Report (IDS-SR) were investigated quantitatively with person-fit statistics for both intake and follow-up measurements in the Groningen University Center of Psychiatry (n = 2036). Subsequently, to investigate the causes and clinical usefulness of on-the-fly person-fit alerts, qualitative follow-up assessments were conducted with three psychiatrists about 20 of their patients that were randomly selected.ResultsInconsistent symptom reports at intake (12.3%) were predominantly characterized by reporting of severe symptoms (e.g. psychomotor slowing) without mild symptoms (e.g. irritability). Person-fit scores at intake and follow-up were positively correlated (r = 0.45). Qualitative interviews with psychiatrists resulted in an explanation for the inconsistent response behavior (e.g. complex comorbidity, somatic complaints, and neurological abnormalities) for 19 of 20 patients. Psychiatrists indicated that if provided directly after the assessment, a person-fit alert would have led to new insights in 60%, and be reason for discussion with the patient in 75% of the cases.ConclusionsProviding clinicians with automated feedback when inconsistent symptom reports occur is informative and can be used to support clinical decision-making.

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