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Application of the Professional Maturity Scale as a Computerized Adaptive Testing

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Title: Application of the Professional Maturity Scale as a Computerized Adaptive Testing
Language: English
Authors: Süleyman Demir (ORCID 0000-0003-3136-0423), Derya Çobanoglu Aktan (ORCID 0000-0002-8292-3815), Nese Güler (ORCID 0000-0002-2836-3132)
Source: International Journal of Assessment Tools in Education. 2023 10(3):580-593.
Availability: International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
Peer Reviewed: Y
Page Count: 14
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Descriptors: Computer Assisted Testing, Adaptive Testing, Vocational Maturity, Measures (Individuals), Test Items, Test Validity, Scores, Maximum Likelihood Statistics, Item Sampling, Career Guidance
ISSN: 2148-7456
Abstract: This study has two main purposes. Firstly, to compare the different item selection methods and stopping rules used in Computerized Adaptive Testing (CAT) applications with simulative data generated based on the item parameters of the Vocational Maturity Scale. Secondly, to test the validity of CAT application scores. For the first purpose, simulative data produced based on Vocational Maturity Scale item parameters were analyzed under different item selection methods (Maximum Fisher Information [MFI], Maximum Likelihood Weighted Information [MLWI] Maximum Posterior Weighted Information [MPWI] Maximum Expected Information [MEI] Minimum Expected Posterior Variance [MEPV] Maximum Expected Posterior Weighted Information [MEPWI]) and stopping rules (Standard Error [SE]<0.30, SE<0.50, SE <0.70, Number of Item [NI]=10, NI=20) by calculating the average number of items, standard error averages, correlation coefficients, bias, and RMSE statistics. For all the conditions of the item selection methods, standard error averages, correlation coefficients, bias, and RMSE statistics showed similar results. When the average number of items is considered, MFI and SE<0.30 were found as most appropriate methods to be used in CAT application. For the second purpose of the study, the paper-pencil form of the Vocational Maturity scale and CAT version were administered to 33 students. A moderate, positive, and statistically significant relationship was found between the CAT application scores and the paper-pencil form scores on the vocational maturity scale. As a result, it can be said that the vocational maturity scale can be applied as a computerized adaptive test and can be used in career guidance processes.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1410527
Database: ERIC
FullText Text:
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  Data: Application of the Professional Maturity Scale as a Computerized Adaptive Testing
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  Data: International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
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  Data: This study has two main purposes. Firstly, to compare the different item selection methods and stopping rules used in Computerized Adaptive Testing (CAT) applications with simulative data generated based on the item parameters of the Vocational Maturity Scale. Secondly, to test the validity of CAT application scores. For the first purpose, simulative data produced based on Vocational Maturity Scale item parameters were analyzed under different item selection methods (Maximum Fisher Information [MFI], Maximum Likelihood Weighted Information [MLWI] Maximum Posterior Weighted Information [MPWI] Maximum Expected Information [MEI] Minimum Expected Posterior Variance [MEPV] Maximum Expected Posterior Weighted Information [MEPWI]) and stopping rules (Standard Error [SE]&lt;0.30, SE&lt;0.50, SE &lt;0.70, Number of Item [NI]=10, NI=20) by calculating the average number of items, standard error averages, correlation coefficients, bias, and RMSE statistics. For all the conditions of the item selection methods, standard error averages, correlation coefficients, bias, and RMSE statistics showed similar results. When the average number of items is considered, MFI and SE&lt;0.30 were found as most appropriate methods to be used in CAT application. For the second purpose of the study, the paper-pencil form of the Vocational Maturity scale and CAT version were administered to 33 students. A moderate, positive, and statistically significant relationship was found between the CAT application scores and the paper-pencil form scores on the vocational maturity scale. As a result, it can be said that the vocational maturity scale can be applied as a computerized adaptive test and can be used in career guidance processes.
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  Data: As Provided
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  Data: EJ1410527
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 580
    Subjects:
      – SubjectFull: Computer Assisted Testing
        Type: general
      – SubjectFull: Adaptive Testing
        Type: general
      – SubjectFull: Vocational Maturity
        Type: general
      – SubjectFull: Measures (Individuals)
        Type: general
      – SubjectFull: Test Items
        Type: general
      – SubjectFull: Test Validity
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      – SubjectFull: Scores
        Type: general
      – SubjectFull: Maximum Likelihood Statistics
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      – SubjectFull: Item Sampling
        Type: general
      – SubjectFull: Career Guidance
        Type: general
    Titles:
      – TitleFull: Application of the Professional Maturity Scale as a Computerized Adaptive Testing
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            NameFull: Süleyman Demir
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            NameFull: Derya Çobanoglu Aktan
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            NameFull: Nese Güler
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              M: 01
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              Y: 2023
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            – TitleFull: International Journal of Assessment Tools in Education
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