Background: The construction and evaluation of item banks to measure unidimensional constructs of health-related quality of life (HRQOL) is a fundamental objective of the Patient-Reported Outcomes Measurement Information System (PROMIS) project. Objectives: Item banks will be used as the foundation for developing short-form instruments and enabling computerized adaptive testing. The PROMIS Steering Committee selected 5 HRQOL domains for initial focus: physical functioning, fatigue, pain, emotional distress, and social role participation. This report provides an overview of the methods used in the PROMIS item analyses and proposed calibration of item banks. Analyses: Analyses include evaluation of data quality (eg, logic and range checking, spread of response distribution within an item), descriptive statistics (eg, frequencies, means), item response theory model assumptions (unidimensionality, local independence, monotonicity), model fit, differential item functioning, and item calibration for banking. Recommendations: Summarized are key analytic issues; recommendations are provided for future evaluations of item banks in HRQOL assessment.

Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS).

Objectives
We propose the application of a bifactor model for exploring the dimensional structure of an item response matrix, and for handling multidimensionality.

The role of the bifactor model in resolving dimensionality issues in health outcomes measures

Staffing in the 21st Century: New Challenges and Strategic Opportunities

Unidimensional item response theory (IRT) has be come widely used in the analysis and equating of edu cational achievement tests. If an IRT model is true, item responses must be locally independent...

Effects of local item dependence on the fit and equating performance of the three-parameter logistic model

Egitimsel ve psikolojik calismalarda birlesik olcmelerin guvenirliginin hesaplamasinda yaygin olarak Cronbach (1951) tarafindan gelistirilen alfa katsayisi kullanilmaktadir. Ancak bu tur calismalarda veri toplamanin zorlugu nedeniyle alfa katsayisi icin gerekli olan minimum orneklem genisligi tartisma konusudur. Evren alfa katsayisinin saglam kestirimi icin gerekli olan minimum orneklem genisligi icin farkli oneriler vardir. Bu calismanin sonuclarina gore; yansiz ve tutarli bir alfa kestirimi orneklem genisliginin buyuklugu kadar ayni zamanda olcmelerin birinci ozdegerinin buyuklugune baglidir. Buna gore, birinci ozdeger buyudukce, dusuk orneklem genisliklerinde alfa katsayisinin yansiz bir kestirimi olanaklidir. Bu calismada kullanilan simulasyonlar bootstrap teknigi ile birlikte Monte-Carlo yontemi uzerine kurulmustur

https://dergipark.org.tr/en/download/article-file/87597

Minimum Sample Size For Cronbach’s Coefficient Alpha: A Monte-Carlo Study

Maximum likelihood and Bayesian procedures for item selection and scoring of multidimensional adaptive tests are presented. A demonstration using simulated response data illustrates that multidimensional adaptive testing (MAT) can provide equal or higher reliabilities with about one-third fewer items than are required by one-dimensional adaptive testing (OAT). Furthermore, holding test-length constant across the MAT and OAT approaches, substantial improvements in reliability can be obtained from multidimensional assessment. A number of issues relating to the operational use of multidimensional adaptive testing are discussed.

/pdf/multidimensional-adaptive-testing-lsoyrgbd8m.pdf

Multidimensional Adaptive Testing

As the Internet has become more accessible to individuals and organizations, the use of computerized testing has become more feasible. Computerized testing has brought with it a demand for unproctored testing that allows test takers to take employment tests at times and places convenient to them. However despite the advantages of costs and convenience, unproctored Internet testing (UIT) introduces a number of issues, many of which have not yet been resolved. These problems range from hardware and software issues to concerns about the security of the test content, the identity of candidates, and cheating. This article explores the pros and cons of unproctored, Internet testing. Six panelists share their opinions and experiences regarding issues around UIT and offer suggestions for appropriate use and future research.

Unproctored internet testing in employment settings

COMPUTERIZED ADAPTIVE TESTING is an approach to individual difference assessment that tailors the administration of test questions to the trait level of the examinee. The computer chooses and displays the questions, and then records and processes the examinee’s answers. Item selection is adaptive–it is dependent in part on the examinee’s answers to previously administered questions, and in part on the specific statistical qualities of administered and candidate items. Compared to conventional testing where all examinees receive the same items, computerized adaptive testing (CAT) administers a larger percentage of items with appropriate difficulty levels. The adaptive item selection process of CAT results in higher levels of testscore precision and shorter test-lengths.

Computerized Adaptive Testing

Two new methods for improving the measurement precision of a general test factor are proposed and evaluated. One new method provides a multidimensional item response theory estimate obtained from conventional administrations of multiple-choice test items that span general and nuisance dimensions. The other method chooses items adaptively to maximize the precision of the general ability score. Both methods display substantial increases in precision over alternative item selection and scoring procedures. Results suggest that the use of these new testing methods may significantly enhance the prediction of learning and performance in instances where standardized tests are currently used.

General ability measurement: An application of multidimensional item response theory

Multidimensional computerized adaptive testing (MCAT) provides a mechanism by which the simultaneous goals of accurate prediction and minimal testing time for a screening test could both be met. Th...

Using Multidimensional CAT to Administer a Short, Yet Precise, Screening Test:

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