DocumentCode :
585214
Title :
Validation of Perceived Ability in Statistical Concepts Questionnaire (PASQ) based on Rasch Measurement Model
Author :
Ismail, N.Z.-I. ; Mahmud, Z. ; Zainol, M.S. ; Kassim, N.L.A.
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2012
fDate :
10-12 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper describes the process of assessing the unidimensionality and validity of the Perceived Ability in Statistical Concepts Questionnaire (PASQ) based on the Rasch Measurement Model. Students´ perceived ability was measured by a self-developed 30 PASQ items of Likert-scale format comprises of concepts on types of data (6 items), graphical representations of distributions (8 items), measures of central tendency (8 items), and measures of variability (8 items). The process of assessing the validity of PASQ involved a collection of data from 416 students at four institutions of higher learning in Malaysia where the measurement of construct validity for the overall PASQ and its subscales were established using Winsteps 3.68.2. Various Rasch measurement tools were utilized to demonstrate the true unidimensionality and validity measure of the PASQ and in meeting the needs of the Rasch measurement model. The findings show that the validity and unidimensionality of PASQ can be truly established and can satisfy the characteristics of the Rasch measurement model.
Keywords :
educational institutions; further education; statistical analysis; Likert-scale format; Malaysia; PASQ unidimensionality; PASQ validity; Rasch measurement model; Winsteps 3.68.2; central tendency measure; data type; distribution representation; higher learning institutions; statistical concepts questionnaire; student perceived ability; variability measure; Cognition; Education; Instruments; Mathematical model; Measurement uncertainty; Principal component analysis; Standards; Rasch measurement model; perceived ability; statistical concepts; unidimensionality; validity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
Type :
conf
DOI :
10.1109/ICSSBE.2012.6396624
Filename :
6396624
Link To Document :
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