• The Research Journal of the Costume Culture
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• v.6 no.2
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• pp.141-152
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• 1998

In the result of classification body types for 100 adult women by direct measurements and antropometric measurements, the mean of weight is bigger than he mean of weight of 97'. So modern 20's women is more than than 94'. In the result of factor analysis, 5 factors were extracted (horizontal sizes, vertical sizes, and degree of shoulder) from exponent sizes of the antropometric measurements item, and another 5 factors were extracted (thick of body, horizontal form of the torso, silhouette of the torso, and size of abdomen) from direct measurements item. The body types are classified into 4 types by cluster analysis in the result of direct measurement item, and another body types are classified into 5 types by antropometric measurement item, it was classified into the horizontal size and the shape and silhouette of torso, and by direct measurement item, it was only classified into the vertical and horizontal size. So for the patternmaking of clothing, it is more adoptable the classification of body by antropometric measurement item than direct measurement item.

• Physical Therapy Korea
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• v.19 no.3
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• pp.124-131
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• 2012

Most conventional instruments measuring disability rely on total score by simply adding individual item responses, which is dependent on the items chosen to represent the underlying construct (test-dependent) and a test statistic, such as coefficient alpha for the estimate of reliability, varying from sample to sample (sample-dependent). By contrast, item response theory (IRT) method focuses on the psychometric properties of the test items instead of the instrument as a whole. By estimating probability that a respondent will select a particular rating for an item, item difficulty and person ability (or disability) can be placed on same linear continuum. These estimates are invariant regardless of the item used (test-free measurement) and the ability of sample applied (sample-free measurement). These advantages of IRT allow the creation of invariantly calibrated large item banks that precisely discriminate the disability levels of individuals. Computer adaptive testing (CAT) method often requiring a testing algorithm promise a means for administering items in a way that is both efficient and precise. This method permits selectively administering items that are closely matched to the ability level of individuals (measurement precision) and measuring the ability without the loss of precision provided by the full item bank (measurement efficiency). These measurement properties can reasonably be achieved using IRT and CAT method. This article aims to investigate comprehensive overview of the existing disability instrument for back pain and to inform physical therapists of an alternative innovative way overcoming the shortcomings of conventional disability instruments. An understanding of IRT and CAT method will equip physical therapist with skills in interpreting the measurement properties of disability instruments developed using the methods.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.250-257
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• 2002

Clustering is a data mining method, which consists in discovering interesting data distributions in very large databases. In traditional data clustering, similarity of a cluster of object is measured by pairwise similarity of objects in that paper. In view of the nature of clustering transactions, we devise in this paper a novel measurement called item similarity and utilize this to perform clustering. With this item similarity measurement, we develop an efficient clustering algorithm for target marketing in each group.

• Educational Technology International
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• v.23 no.2
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• pp.157-181
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• 2022

Scale scores for cognitive domains have been used as an important indicator for both academic achievement and clinical diagnosis. For example, in education, Cognitive Abilities Test (CogAT) has been used to measure student's capability in academic learning. In a clinical setting, Cognitive Impairment Screening Test utilizes items measuring cognitive ability as a dementia screening test. We demonstrated a procedure of generating cognitive ability test items similar as in CogAT but the theory associated with the generation is totally different. When creating cognitive test items, we applied automatic item generation (AIG) that reduces errors in predictions of cognitive ability but attains higher reliability. We selected two cognitive ability test items, categorized as a time estimation item for measuring quantitative reasoning and a paper-folding item for measuring visualization. As CogAT has widely used as a cognitive measurement test, developing an AIG-based cognitive test items will greatly contribute to education field. Since CLASS is the only LMS including AIG technology, we used it for the AIG software to construct item models. The purpose of this study is to demonstrate the item generation process using AIG implemented within CLASS, along with proving quantitative and qualitative strengths of AIG. In result, we confirmed that more than 10,000 items could be made by a single item model in the quantitative aspect and the validity of items could be assured by the procedure based on ECD and AE in the qualitative aspect. This reliable item generation process based on item models would be the key of developing accurate cognitive measurement tests.

• Physical Therapy Korea
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• v.22 no.3
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• pp.61-70
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• 2015

To develop an effective and efficient measurement system for tracking changes of functional status across two measures, it is essential to integrate information and communicate scores across two measures. The lack of communication between two measures leads to score incompatibility. A potential solution would be the development of a crosswalk table between those measures. Prior to creating a crosswalk table, selecting common items between two measures is critical. By using the Oswestry low back pain disability questionnaire (Oswestry) and a short form measuring disability resulting from low back pain, item level statistics as well as differential item functioning (DIF) using the Rasch measurement were investigated. Eighty-two participants with known group validity were recruited. Based on the application of the Rasch measurement model, item difficulties across the two measures were logically and hierarchically ordered. Ceiling effects for both measures were detected, which were not be able to be effectively measured with the two measures. The DIF analysis across the two measures confirmed that five paired items were found to have DIF and five common items were selected for common items. Although five paired items function differently across the Oswestry and the short form, all items of both measures were well targeted study participants. The common items selected by the Rasch measurement model may be effective when creating a crosswalk table between the Oswestry and the short form.

• Journal of Preventive Medicine and Public Health
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• v.38 no.1
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• pp.61-70
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• 2005

Objectives : To develop a tool for multidimensional measurement of the quality of life, which was psychometrically sound, short, and easy to administer for patients with hypertension. Methods : A sample of 1,115 hypertensive patients aged 20 or above in Cheong-Song County was studied from June 1997 to October 1998. In the development of the instrumental stage, the authors first conceptualized the quality of life. Item generation, item reduction, and questionnaire formatting were followed. Item-level (item descriptive, missing%, item internal consistency, item discriminant validity) analysis, scale-level (scale descriptive, floor and ceiling effect) analysis, and other tests(Cronbach's alpha, inter-dimension correlations, factor analysis, clinical validity) were performed to evaluate the validity and reliability of the new measurement scale. After 1 year, responsiveness and confirmatory factor analysis were performed. Results : The results of both item-level and scale-level analyses were acceptable. An acceptable degree of internal consistency was observed for each of the dimensions (Cronbach's alpha was 0.60 or higher). Inter-dimension correlations were below 0.50 and the factor analysis result was the same as the intended dimension structure. Correlation coefficients between perceived health status, stress and dimensions were proven to be acceptable. The result of comparing dimensional score means among ADL and MMSE-K groups above 60 years was statistically significant(p<0.05). The result of confirmatory factor analysis concluded that the dimensional structure model was well fitted. However, the result of responsiveness test using sensitivity and specificity was unsatisfactory. Conclusions : The newly developed measurement scale is psychometrically reliable and valid instrument for measuring quality of life in hypertensive patients.

• Physical Therapy Korea
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• v.26 no.3
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• pp.106-114
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• 2019

Background: It is difficult to assess whether community-dwelling frail older adults may remain pre-frail status or improve into a robust state without being directly checked by health care professionals. The health information perceived by older adults is considered to be one of best sources of potential concerns in older adult population. An online measurement system combined with item response theory (IRT) and computer adaptive testing (CAT) methods is likely to become a realistic approach to remotely monitor physical activity status of frail older adults. Objects: This article suggests an approach to provide a precise and efficient means of measuring physical activity levels of community-dwelling frail older adults. Methods: Article reviews were reviewed and summarized. Results: In comparison to the classical test theory (CTT), the IRT method is empirically aimed to focus on the psychometric properties of individual test items in lieu of the test as a whole. These properties allow creating a large item pool that can capture the broad range of physical activity levels. The CAT method administers test items by an algorithm that select items matched to the physical activity levels of the older adults. Conclusion: An online measurement system combined with these two methods would allow adequate physical activity measurement that may be useful to remotely monitor the activity level of community-dwelling frail older adults.

• Human Ecology Research
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• v.54 no.4
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• pp.427-440
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• 2016

This study uses comparison tests of bodice basic patterns to research improvements in wearing evaluation methods based on differences in bodice basic patterns and body size. As study methods, we calculated body sizes for six types by selecting four types of bodice basic pattern and utilized bodice basic pattern size measurement tools. The study result are as follows. First, as the result of analyzing bodice basic patterns per each part and body size difference by bodice basic pattern size measurement tool, shoulder angle cover rate was J&K type 57.57%~68.41%, N type 53.13%~65.57%, L type 51.87%~63.73%, and H type 59.03%~68.20%. In the item of neck base circumference, it was J&K type 6.4~-16 mm, N type 10.7~-31.9 mm, L type -5.2~-13.4 mm, and H type -6.2~-15.4 mm. In the item of armscye circumference, it was J&K type -18.9~-59.4 mm, N type -15.2~-51.3 mm, L type -38.9~-52.7 mm, and H type -17~-42.2 mm. In the item of biacromion length, it was J&K type 23.2~-4.7 mm, N type 18.4~-10.4 mm, and H type 3.5~-5.7 mm. In the item of interscye back, it was J&K type and N type 17.6~-13.6 mm, L type 11.9~-13.6 mm, and H type 3.2~-11.8 mm. The item of interscye front was found in the sequences of study type and L type. Second, the Kruskal-Wallis test result (according to bodice basic pattern) indicated meaningful differences in items of shoulder angle cover rate, neck point to breast point, bust point-bust point, biacromion length and armscye circumference and H type had an overall higher rank.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.179-193
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• 2003

Clustering is a data mining method which help discovering interesting data groups in large databases. In traditional data clustering, similarity between objects in the cluster is measured by pairwise similarity of objects. But we devise an advanced measurement called item similarity in this paper, in terms of nature of clustering transaction data and use this measurement to perform clustering. This new algorithm show the similarity by accepting the concept of relationship between different attributes. With this item similarity measurement, we develop an efficient clustering algorithm for target marketing in each group.

• Journal of Korean Physical Therapy Science
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• v.19 no.1
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• pp.17-25
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• 2012

Purpose : The aim of this study was from data collection to item development in the first study before developing a valid and reliable instrument reflecting Korean's own language expression and culture. Methods : The fist survey was 140 osteoarthritis(OA) patients in 2 Cites was studied from November to December 2009. Open-ended questionnaire was decided 39 items from the first open survey. Questionnaire on the Korean Osteoarthritis Impact Measurement Scale(KAIMS) was recruited 2 professors and 5 physical therapists. Second survey was applied to 133 OA patients. Results : OA patients's average age${\pm}$standard deviation was $66.08{\pm}11.10$ years. The internal consistency reliability of 3 items. As estimated by Cronbach's alpha coefficient(${\alpha}$), was high(range, 0.86~0.96). 0.43~0.91 ${\alpha}$ coefficient for the internal consistency reliability of item-each scale was also high. However, item-discriminant validity on 3 items was low(${\alpha}$, 0.92~0.97). The construct validity by factor analysis was a little low. Conclusion : This study revealed that we confirmed a generation for 39 items on KAIMS reflecting Korean's own language expression and culture. Also, those of reliability were a little high. And, we will have to study the last instrument development (3rd study) by more subjects in the future.