Psychometric properties of the obsessive compulsing symptoms scale in asample of Baghdad university students | ||
| Journal of University of Anbar for Humanities | ||
| Article 32, Volume 2021, Issue 1, March 2021, Pages 847-881 PDF (967.72 K) | ||
| DOI: 10.37653/juah.2021.171564 | ||
| Author | ||
| Asiar Fakrie rahomie | ||
| Abstract | ||
| The present study aimed at detecting local item dependence (LID) between the test item pairs using Q3 index; identifying the percentage of item pairs that appear LID under different levels of examinees ability, and identifying the relationship between two Item Response Theory (IRT) assumptions: Uni-dimensionality and Local Item Independence, according to the 2Parameters Logistic Model (2-PLM). To achieve this, the researcher used data available about of obsessive compulsion scale, (OCS) prepared by Baghdad university, which is used to measure the freshman students’ level when joining the (BA) program in 2007/2008. The test consisted of (81) items measure some computer skills. The sample of the study consisted of (1108) examinees, distributed into five different sessions on the same test. To analyze the collected data, the researcher used three statistical programs (SPSS, Bilog-MG3, LDID) respectively.The results of the study indicated that the percentage of item pairs that reveal LID, using Q3 index, estimated at about 0.135. The results also indicated that the percentage of item pairs that reveal LID, using Q3 index, increased with increased examinees ability level. Finally, the results indicated that the two item response theory (IRT) assumptions: Unidimensionality and Local Item Independence were equivalent assumptions. | ||
| Keywords | ||
| item response theory; local item dependence; unidimenstionality; Q3 index | ||
| References | ||
|
- Alam, Salah al-Din (1986), contemporary developments in psychological and educational measurement, Kuwait: Faculty of Arts.
- Kazem, Amina and El Sharkawi, Anwar and El sheikh, Suleiman and Abdel Salam, Nadia (1996), contemporary trends in psychological and educational measurement and evaluation, Cairo: Anglo-Egyptian library.
- Al-Nuaimi, Ezz al-Din (2009), comparison of three methods for detecting violation of the assumption of positional independence in national tests to control the quality of education in Jordan, Journal of Human Sciences, 41, 2-15.
-Allen, M. & Yen, W. (1979). Introduction to measurement theory. Monterey, California: Cole Publishing Company.
-Balazs, K. & Deboeck, P. (2006). Detecting local item dependence stemming from minor dimension. Retrieved from: http://www.stat.ucl.ac.be,IAP.
-Bell, R., Pattison,P. & Withers, G. (1988). Conditional independence in a clustered item test. Applied Psychological Measurement, 15-25.
-Chen, C, & Wang, W. (2007). Effects of ignoring item interaction on item parameter estimation and detection of interacting items. Applied Psychological Measurement, 31(5), 388-411.
-Chen, W. & Thissen, D. (1997). Local dependence indexes for item pairs using item response theory. Journal of Educational and Behavioral Statistics, 22, 265-289.
-Clarke, R. (1986). Students approaches to learning in an innovative medical school: across- sectional study. British Journal of Educational Psychology, 56(3), 309-320.
-Crocker, L. & Algina, J. (1986). Introduction to classical and modern test theory. New York: CBS College Publishing.
-Cronbach, J. (1979). Essential of psychological testing. New York: Harper & Row.
-Dresher, A. (2003). An empirical investigation of local item dependency in NAEP data. Paper presented at the annual meeting of the American Educational Research Association (AERA) and the National Council on Measurement in Education (NCME) Held Between April 21 to 25, 2003, Retrieved from: http:// www.ets.orglegalcopyright.html.
-Duff, A. (1997). A note on the reliability and validity of a 30—item version of entwistle and trait’s revised approaches to studying inventory. British Journal of Educational Psychology, 67(4), 529-539.
-Embretson, S. & Reise, S. (2000). Item response theory for psychologists. New Jersey: Lawrence Erlbaum Associates.
-Entwistle, N., & Kozeki, B. (1985). Relationships between School Motivation, approaches to studying, and attainment, among British and Hungarian Adolescents. British Journal of Educational Psychology, 5 5(2), 124-136.
-Fennessy, L. (1995). The impact of local dependencies on varions IRT outcomes. Unpublished doctoral dissertation, University of Massachusetts at Amherst. {Dissertation Abstract International, 65-03A,
-Frisby, C. (1991). A metal-analytic investigation of the relationship between grade level and mean scores on the cornell critical thinking test, Measurement and Evaluation in Counseling and Development, 162-170.
-Gruilter, D. & Kamp, L. (2005). Statistical test theory for education and psychology. Retrieved December 30, 2005 from: www.leideflUfhv.nl/gruijterdnmde.
-Hambleton, R. (1989). Principles and selected applications of item response theory. New York: Macmillan publishing Company.
-Hambleton, R. & Swamiflathan, H. (1985). Item response theory: principles and applications. Boston, MA: Kiuwer Nij publishing.
-HambletOfi, R., Swamifiathan. H. & Rogers, J. (1991). Fundamentals of item response theory. Newbury Perk California: Stage publications.
-Hattie, J. (1985). ethodo1ogy review: Assessing unidimensionality of tests and items. Applied Psychological Measurement, 9(2), 139-164.
-Hulin, C., Drasgow, F. & Parson, K. (1983). Item response theory: Applications to psychological measurement. Homewood, Illinois: Dow Jones—Irwin.
-John, R. (1990). Reliability and reliability of the relationship of the approaches to studying questionnaire. Studies in Higher Education, 15(2), 155-168.
-Killer, L., Swaminathan, H. & Sireci, S. (2003). Evaluating scoring procedures for context- dependent item sets. Applied Measurement in Education, 16(3), 207-221.
-Kim, S., Cohen, A., & Lin, Y. (2005). LDID: Local dependence indices for dichotomous items1 [A Computer program]. The University of Georgia: Scientific Software.
-Lawson. D. & Brailovsky. C. (2006. The presence and impact of local item dependence on objective structured clinical examinations scores and the potential use of the polytomous many-facet rash model. Journal of Manipulative and Physiological Therapeutics, 29(8), 651-657.
-Lee. Y. (2000). elated local item dependence (lid) using q3 indices in comprehension test. (ERIC Document Reproduction Service No.ED458244).
-Lord, F. (1980). Application of item response theory to practical testing problems. Hillsdate., NJ: Lawrence Eribaum Associates.
-McDonald, P. (1981). The dimensionality of tests and items. British Jo Mathematic and Statistical Psychology, 34, 100-117.
-Meara, K., Robin, F., & Sireci. S. (2000). Using multidimensional scaling to assess the dirnensionality of dichotomous item data. Multivariate Behavioral research, 35(2), 229-259.
-Shen, L. (1997). Quantifying item dependency by fisher’s z. Paper presented at the annual meeting of the American educational research association. Chicago, IL, March 24-28, 1997 (ERIC Document Reproduction Service No. ED 410241).
-Skaggs, G. (2007). Bookmark locations and item response model selection in the presence of local item dependence. Journal of Measurement, 8(1), 65-83.
-Yen, W. (1984). Effect of local item dependence on the fit and equating performance of the three-parameter logistic model. Applied Psychological Measurement, 8, 125-145.
-Yen, W. (1993). Scaling performance assessments: strategies for managing local item dependence. Journal of Educational Measurements, 30(3), 187-213.
-Zenisky, A., Hambleton, R., & Sireci, S. (2002). Effects of local item dependent on the validity of irt items, tests, and ability statistics. MCAT Monograph. Association of American Medical Colleges, Washington Retrieved from: http://www.aamc.org/mcat.
-Zimowski, M.F., Maraki, E.. Mislevy. R.J. & Back, D. (1996). BILOG-MG3 multiple group irt analysis and test maintenance for binary items [A Computer Program]. Chicago: Scientific Software. | ||
|
Statistics Article View: 129 PDF Download: 245 |
||