• The Research Journal of the Costume Culture
• /
• v.15 no.1 s.66
• /
• pp.137-151
• /
• 2007

This study was performed to narrow down the Sizing System for Female Adult's garments(KS K 0051) following age target and body shapes. The study was based on the sizing system and the anthropometric measurements, called Size-Korea, which were surveyed in the years 2003 and 2004. At first, the subjects of the survey were classified into 4 age groups, $18{\sim}24,\;25{\sim}34,\;35{\sim}49\;and\;50{\sim}59$, based on the most significant differences of body sizes. Secondly, the ranges of four key dimensions - height, bust, waist and hip-of normal sizes were identified through analyzing Rohrer index and percentile. The selected sizes within the ranges were grouped by the drop which was the subtraction of bust girth from hip girth. In conclusion, there was the most frequent drop for each age group; 9cm drop for the $18{\sim}24$ years old group, the 6cm drop for the $25{\sim}34$ years old and $35{\sim}49$ years old and 3cm drop for $50{\sim}59$ years old. The upper body garment sizes of the same drop and target ages could be merged to 10 to 12 sizes, which were remarkably smaller than the Female Adult garment sizing system, and further to 2-5 sizes, considering the percentile importance. However, $50{\sim}59$ years old group needed to be analyzed in different ways, because the number of subjects of normal size in the age decreased rapidly, that the normal sizes for them were very limited. In addition, the reference body sizes of each garment size were apparently different when they were compared to each age groups. These basic data for garment size specification could be usefully adapted for the apparel companies' own sizing system according to their age target and body shapes, to achieve efficient production and better fit.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.9
• /
• pp.1049-1059
• /
• 2011

This study investigates the current state of companies that manufacture and sell outdoor wear. A survey was conducted to identify what problems they had and what aspects they needed to supplement through a comparison and analysis of their block patterns. Companies that manufactured outdoor wear and those that sold them were separately surveyed to understand their current state. The manufactures included 4 companies and 14 sellers. The survey used interviews to cover the areas of target consumers, development patterns, production lines, body size, nominal size, production size, and functional materials for each item, and aspects that need improvement. The survey period was from September $3^{rd}$ to $10^{th}$ 2008. There were three block patterns for jackets, T-shirts, and pants. The investigator collected the patterns used by three outdoor clothing manu-facturers for comparison and assessment. As a result, the mean age of the target consumers set by the outdoor clothing manufacturers and sellers was 25.3-50.7 and 29.2-42.5, respectively, which shows that the outdoor clothing had a wider distribution of target consumers than the sellers. It is imperative for them to segment and differentiate the target consumers and concepts. The basic body measurements the companies used to draw the upper and lower garment patterns were the bust circumference for the upper garment patterns and the waist circumference for the lower garment patterns. The basic nominal size was 95 for the upper garment and 70 for the lower garment. Also analyzed were the block patterns according to the items to understand the pattern characteristics of each of the companies. There were a total of 35, 36, and 30 items for the jackets, T-shirts, and pants, respectively, to measure size. The items were then compared with one another in mean and standard deviation. The analysis indicate that the block patterns were not fit for women in their twenties or thirties to wear and required revisions in the length of the upper garment, the height of sleeve cap, bust circumference, hip length, and pant length.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.2
• /
• pp.230-243
• /
• 2009

The purpose of this study was to analyse the body sizes of $7{\sim}12$ years elementary school girls and also to categorize KS size dimensions by the detailed information of ages and body shapes. For the study, the data of SizeKorea(2004) was analysed. Height, bust, waist, hip, the ratio of waist to height and hip to height were significant between age groups, but the ratio of bust to height was not. Therefore, the increase of bust size was resulted in growth of bust circumference, instead of bust volume. In the same height group, over 11 year girls had smaller waist, while over 12 year girls had bigger hip. For Grouping girls by ages and body shapes, the ages were divided into 2 groups, under 10 years old and 11 to 12 years old. The body shapes classified into 3 groups 'Stout-shape', 'Middle-shape', and 'slim-shape', by the ratios of bust to height and hip to height. 'Stout-shape' was significantly big at the almost sizes, but 'Middle-shape' was significantly big at only circumferences, not lengths. In addition, drop(the difference between bust and hip) and lower-drop(the difference between waist and hip) were in inverse proportion to the ratios of bust to height and hip to height. It meant the increases of bust-ratio and hip-ratio of 'Stout-shape' were resulted in overweight, rather than female matureness. The distribution of sizes over 0.5% were grouped for grading system and the subtotal percentiles of each group were calculated for industrial data. The groups which covered more than 10% of consumers were 2 to 6 and the 1 or 2 groups for 'Stout-shape' were also observed, so that children's ready-to wear companies could use them efficiently for their own consumer target.

• Science of Emotion and Sensibility
• /
• v.6 no.1
• /
• pp.17-26
• /
• 2003

With rapid expansion in e-retailing of apparel business, the virtual fitting model is used for comparing fit of the selected garments. The researchers experimented women's perceived body size for developing virtual fitting model. 50 women who were 20's in age were participated in the experiment They were graduate students with clothing & textile major. The results of this study showed that the subjects perceived themselves with fuller figure at waist or hips and with shorter figure at waist height than their actual body site. Many subjects believed that their body sizes were close to the average site. Especially, subjects whose abdomen girth of hip girth was much larger than average thought that they have relatively flat abdomen. It was concluded that not only the user's body measurements but also user's perception on their figure type are needed to be considered in the process of developing virtual fitting model for e-retailing of apparel. It was expected that the virtual fitting model of extraordinary size body would not be accepted by the female consumers even though they are extra large or small size person in reality.

• The Journal of Advanced Prosthodontics
• /
• v.4 no.1
• /
• pp.7-12
• /
• 2012

PURPOSE. Articulation paper mark size is widely accepted as an indicator of forceful tooth contacts. However, mark size is indicative of contact location and surface area only, and does not quantify occlusal force. The purpose of this study is to determine if a relationship exists between the size of paper marks and the percentage of force applied to the same tooth. MATERIALS AND METHODS. Thirty dentate female subjects intercuspated into articulation paper strips to mark occlusal contacts on their maxillary posterior teeth, followed by taking photographs. Then each subject made a multi-bite digital occlusal force percentage recording. The surface area of the largest and darkest articulation paper mark (n = 240 marks) in each quadrant (n = 60 quadrants) was calculated in photographic pixels, and compared with the force percentage present on the same tooth. RESULTS. Regression analysis shows a bi-variant fit of force % on tooth (P<.05). The correlation coefficient between the mark area and the percentage of force indicated a low positive correlation. The coefficient of determination showed a low causative relationship between mark area and force ($r^2$ = 0.067). The largest paper mark in each quadrant was matched with the most forceful tooth in that same quadrant only 38.3% of time. Only 6 2/3% of mark surface area could be explained by applied occlusal force, while most of the mark area results from other factors unrelated to the applied occlusal force. CONCLUSION. The findings of this study indicate that size of articulation paper mark is an unreliable indicator of applied occlusal force, to guide treatment occlusal adjustments.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.37 no.8
• /
• pp.1117-1129
• /
• 2013

The sizing system for Korean Standard of Disposable Protective Coveralls (DPC) uses the ISO sizing system without modification even though the user suitability for Koreans is unverified. This study provides useful information to improve the size standard of Korean DPC by analyzing measurement DPC data from Korean men and women. The distribution of Korean measurements shows that the size sections were unsuitable for Korean men and women for a protective clothing size standard. Body types were categorized into five types based on a cluster analysis of representative men's and women's measurement factors. Two clusters mostly consisted of men, two other clusters mostly consisted of women, and the other cluster relatively evenly consisted of men and women. Therefore, characteristic body measurements and measurement distribution differences were identifiable for men and women. In conclusion, an unmodified ISO protective clothing size standard is unsuitable for Korean men and women and may cause fit problems. This study shows that a Korean Standard of protective clothing is beneficial for protective clothing manufacturers and wearers if smaller size intervals are added for women and the difference in the distribution of men and women is reflected in the current sizing system. ISO is appropriate to use a Korean Standard in this global era, however, it should be reviewed to provide improved Korean data.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.23 no.2
• /
• pp.133-146
• /
• 2021

It is important to conduct an anthropometric study to develop garment patterns to accommodate the changes found in the body size and type of men in their 30s, to effectively address fit dissatisfaction. Thus, this study aims to explore changes in the lower body sizes and body types of men in their 30s, and provide basic measurements for designing pants patterns. For this purpose, key anthropometric dimensions for the lower body of men in their 30s, which were acquired by the 6th (2010) and 7th (2015) survey conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major lower body sizes to track changes over time. Factor and cluster analyses were used to classify lower body types. From the comparison of the 6th (2010) and 7th (2015) surveys, it was found that the overall lower body size of men in their 30s were increasing in the height-related aspects, circumference, thickness, and width-as well as body weight and BMI. The five factors were derived to determine the typical lower body types of men in their 30s and the body types were classified into three categories through cluster analysis: (1) those with the largest body size, body volume, and obesity, (2) those with smallest body size, lower body volume, and obesity degree, visually the most skinny type, (3) those with BMI and weight that are the smallest, like Type 2, but the main circumference of the lower body is lower. In order to visually look at the statistical analysis, results were presented by producing a avatar based on the main lower body values.

• Asia pacific journal of information systems
• /
• v.19 no.4
• /
• pp.47-75
• /
• 2009

Recently, researches on Management Information Systems (MIS) have laid out theoretical foundation and academic paradigms by introducing diverse theories, themes, and methodologies. Especially, academic paradigms of MIS encourage a user-friendly approach by developing the technologies from the users' perspectives, which reflects the existence of strong causal relationships between information systems and user's behavior. As in other areas in social science the use of structural equation modeling (SEM) has rapidly increased in recent years especially in the MIS area. The SEM technique is important because it provides powerful ways to address key IS research problems. It also has a unique ability to simultaneously examine a series of casual relationships while analyzing multiple independent and dependent variables all at the same time. In spite of providing many benefits to the MIS researchers, there are some potential pitfalls with the analytical technique. The research objective of this study is to provide some guidelines for an appropriate use of SEM based on the assessment of current practice of using SEM in the MIS research. This study focuses on several statistical issues related to the use of SEM in the MIS research. Selected articles are assessed in three parts through the meta analysis. The first part is related to the initial specification of theoretical model of interest. The second is about data screening prior to model estimation and testing. And the last part concerns estimation and testing of theoretical models based on empirical data. This study reviewed the use of SEM in 164 empirical research articles published in four major MIS journals in Korea (APJIS, ISR, JIS and JITAM) from 1991 to 2007. APJIS, ISR, JIS and JITAM accounted for 73, 17, 58, and 16 of the total number of applications, respectively. The number of published applications has been increased over time. LISREL was the most frequently used SEM software among MIS researchers (97 studies (59.15%)), followed by AMOS (45 studies (27.44%)). In the first part, regarding issues related to the initial specification of theoretical model of interest, all of the studies have used cross-sectional data. The studies that use cross-sectional data may be able to better explain their structural model as a set of relationships. Most of SEM studies, meanwhile, have employed. confirmatory-type analysis (146 articles (89%)). For the model specification issue about model formulation, 159 (96.9%) of the studies were the full structural equation model. For only 5 researches, SEM was used for the measurement model with a set of observed variables. The average sample size for all models was 365.41, with some models retaining a sample as small as 50 and as large as 500. The second part of the issue is related to data screening prior to model estimation and testing. Data screening is important for researchers particularly in defining how they deal with missing values. Overall, discussion of data screening was reported in 118 (71.95%) of the studies while there was no study discussing evidence of multivariate normality for the models. On the third part, issues related to the estimation and testing of theoretical models on empirical data, assessing model fit is one of most important issues because it provides adequate statistical power for research models. There were multiple fit indices used in the SEM applications. The test was reported in the most of studies (146 (89%)), whereas normed-test was reported less frequently (65 studies (39.64%)). It is important that normed- of 3 or lower is required for adequate model fit. The most popular model fit indices were GFI (109 (66.46%)), AGFI (84 (51.22%)), NFI (44 (47.56%)), RMR (42 (25.61%)), CFI (59 (35.98%)), RMSEA (62 (37.80)), and NNFI (48 (29.27%)). Regarding the test of construct validity, convergent validity has been examined in 109 studies (66.46%) and discriminant validity in 98 (59.76%). 81 studies (49.39%) have reported the average variance extracted (AVE). However, there was little discussion of direct (47 (28.66%)), indirect, and total effect in the SEM models. Based on these findings, we suggest general guidelines for the use of SEM and propose some recommendations on concerning issues of latent variables models, raw data, sample size, data screening, reporting parameter estimated, model fit statistics, multivariate normality, confirmatory factor analysis, reliabilities and the decomposition of effects.

• Journal of Distribution Science
• /
• v.8 no.3
• /
• pp.27-35
• /
• 2010

As the population, buying power, and intensity of self-expression of the elderly generation increase, its importance as a market segment is also growing. Therefore, the mass marketing strategy for the elderly generation must be changed to a micro-marketing strategy based on the results of sub-segmentation that suitably captures the characteristics of this generation. Furthermore, as a customer access strategy is decided by sub-segmentation, proper segmentation is one of the key success factors for micro-marketing. Segments or sub-segments are different from sectors, because segmentation or sub-segmentation for micro-marketing is based on the homogeneity of customer needs. Theoretically, complete segmentation would reveal a single voice. However, it is impossible to achieve complete segmentation because of economic factors, factors that affect effectiveness, etc. To obtain a single voice from a segment, we sometimes need to divide it into many individual cases. In such a case, there would be a many segments to deal with. On the other hand, to maximize market access performance, fewer segments are preferred. In this paper, we use the term "sub-segmentation" instead of "segmentation," because we divide a specific segment into more detailed segments. To sub-segment the elderly generation, this paper takes their lifestyles and life stages into consideration. In order to reflect these aspects, various surveys and several rounds of expert interviews and focused group interviews (FGIs) were performed. Using the results of these qualitative surveys, we can define six sub-segments of the elderly generation. This paper uses five rules to divide the elderly generation. The five rules are (1) mutually exclusive and collectively exhaustive (MECE) sub-segmentation, (2) important life stages, (3) notable lifestyles, (4) minimum number of and easy classifiable sub-segments, and (5) significant difference in voices among the sub-segments. The most critical point for dividing the elderly market is whether children are married. The other points are source of income, gender, and occupation. In this paper, the elderly market is divided into six sub-segments. As mentioned, the number of sub-segments is a very key point for a successful marketing approach. Too many sub-segments would lead to narrow substantiality or lack of actionability. On the other hand, too few sub-segments would have no effects. Therefore, the creation of the optimum number of sub-segments is a critical problem faced by marketers. This paper presents a method of evaluating the fitness of sub-segments that was deduced from the preceding surveys. The presented method uses the degree of homogeneity (DoH) to measure the adequacy of sub-segments. This measure uses quantitative survey questions to calculate adequacy. The ratio of significantly homogeneous questions to the total numbers of survey questions indicates the DoH. A significantly homogeneous question is defined as a question in which one case is selected significantly more often than others. To show whether a case is selected significantly more often than others, we use a hypothesis test. In this case, the null hypothesis (H0) would be that there is no significant difference between the selection of one case and that of the others. Thus, the total number of significantly homogeneous questions is the total number of cases in which the null hypothesis is rejected. To calculate the DoH, we conducted a quantitative survey (total sample size was 400, 60 questions, 4~5 cases for each question). The sample size of the first sub-segment-has no unmarried offspring and earns a living independently-is 113. The sample size of the second sub-segment-has no unmarried offspring and is economically supported by its offspring-is 57. The sample size of the third sub-segment-has unmarried offspring and is employed and male-is 70. The sample size of the fourth sub-segment-has unmarried offspring and is not employed and male-is 45. The sample size of the fifth sub-segment-has unmarried offspring and is female and employed (either the female herself or her husband)-is 63. The sample size of the last sub-segment-has unmarried offspring and is female and not employed (not even the husband)-is 52. Statistically, the sample size of each sub-segment is sufficiently large. Therefore, we use the z-test for testing hypotheses. When the significance level is 0.05, the DoHs of the six sub-segments are 1.00, 0.95, 0.95, 0.87, 0.93, and 1.00, respectively. When the significance level is 0.01, the DoHs of the six sub-segments are 0.95, 0.87, 0.85, 0.80, 0.88, and 0.87, respectively. These results show that the first sub-segment is the most homogeneous category, while the fourth has more variety in terms of its needs. If the sample size is sufficiently large, more segmentation would be better in a given sub-segment. However, as the fourth sub-segment is smaller than the others, more detailed segmentation is not proceeded. A very critical point for a successful micro-marketing strategy is measuring the fit of a sub-segment. However, until now, there have been no robust rules for measuring fit. This paper presents a method of evaluating the fit of sub-segments. This method will be very helpful for deciding the adequacy of sub-segmentation. However, it has some limitations that prevent it from being robust. These limitations include the following: (1) the method is restricted to only quantitative questions; (2) the type of questions that must be involved in calculation pose difficulties; (3) DoH values depend on content formation. Despite these limitations, this paper has presented a useful method for conducting adequate sub-segmentation. We believe that the present method can be applied widely in many areas. Furthermore, the results of the sub-segmentation of the elderly generation can serve as a reference for mature marketing.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.6
• /
• pp.860-868
• /
• 2009

To provide adequate fit for women over a range of sizes, the grading process should reflect their body dimensions. Current methods of creating sized garments are not addressing the need for a good or even an adequate fit for the easy-order system. This study suggests a grading rule allocating system that can improve the appropriateness of clothing for uniform easy-order system. Also, the study proposes a bi-directional grading method subdivided to horizontal and vertical direction. The grading rule allocating system suggested the size increments which improve the fitness of uniform. Using the 5th Size Korea data, the crosstabulation was conducted with 1305 females in the age group $20{\sim}49$ years, and the size increments including $155\sim165$ of height section and $79\sim94$ of bust section, was selected for easy-order system. Also, the bi-directional grading method subdivided in horizontal and vertical direction was followed by factor analysis based on the circumference and height. And the grading rules were calculated by regression analysis.