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Etkili Beden Ölçülerinin İstatistiksel Seçimi: Bel Çevresi Ölçüsü Örneği

Year 2023, Volume: 4 Issue: 2, 50 - 67, 31.12.2023

Abstract

Bu araştırmada beden ölçülerinin normallik varsayımları; beş kriter kullanılarak, Boxplot, Kolmogorov-Smirnov ve Shapiro-Wilk testleri ile gerçekleştirilmiş ve beden ölçülerinin normal dağılım gösterdiği kanıtlanmıştır. Ayrıca, etkili beden ölçülerinin istatistiksel seçimi ile diğer beden ölçülerine ulaşmak için kısa, hassas, zaman ve maliyet tasarruflu bir yöntem önerilmiştir. Bu öneriyi desteklemek için korelasyon katsayıları ve çok değişkenli çoklu regresyon analizleri (MMRA) yapılmıştır. Etkili beden ölçülerinin istatistiksel seçilmesi, yüksek korelasyon katsayılı beden ölçüsü çiftlerinin tespiti temeline dayanmaktadır. MMRAlar ise, üç farklı bakış açışıyla; birinci, bir beden ölçüsü bağımlı değişken ve diğer beden ölçüleri bağımsız değişken enter metodu; ikinci, aynısı stepwise metodu; üçüncü, bir beden ölçüsü bağımlı değişken ve istatistiksel seçilen etkili beden ölçüleri bağımsız değişken enter metodu; olacak şekilde yapılmış ve bunların Adj.r2'leri karşılaştırılmıştır. Her bir beden ölçüsü ayrı ayrı çalışılmış ancak bu çalışmada sadece bel çevresi ölçüsü örnek olarak verilmiştir. Enter ve stepwise metodları en yüksek ve benzer sonuçları vermiş, beklenenin aksine, önerilen en etkili beden ölçülerinin istatistiksel seçimi en düşük sonuçları vermiştir. İleriki çalışmalarda daha derin matematik bilimleri uygulanacaktır.

Ethical Statement

Bizim kullandığımız veriler, sorumlu yazarın önceden yaptığı başka bir çalışmaya aittir.

References

  • Eğri Ş. A. Problems Encountered in The Sample Review on a Threedimensional Body Scanner Systems (Kardem and Ima example), Master's thesis, Gazi University, Dressing Industry and Arts of Dressing Main Science Branch, Ankara, 2011.
  • Şener H. F. Developing a method for drawing patterns suitable for women's body characteristics. PhD thesis, Gazi University, Institute of Social Sciences, Ankara, 1995.
  • Kurt Ç. Müller Pattern System 36-42 Size, Examination and Development of Anthropometric and Ergonomic Compatibility of Basic Body and Basic Sleeve Patterns, Master's thesis, Selçuk University Institute of Social Sciences, Konya, 2007.
  • Seyhun G. Modeling from A to Z. Clothing Pattern Obtaining Techniques, Published personally, İstanbul, 1993.
  • Taylor J. P., Shoben M.M. Serialization Rules and Practice for the Apparel Industry. (Translated by: H. Bal & R. Akay), Gaye Filmcilik Printing Industry. Tic. Inc., Ankara, 1995.
  • Vural T., Çileroğlu B., Çoruh E. Body Size Standardization in Terms of Underwear Production of Women of 60 Years and Above, Textile and Apparel, 18(2), 149-153, 2008.
  • Kılınç N., Bor A. Examination of the Variance of Other Anthropometric Measurements of Lower Body in Respect to the Hip Size of the Women over the Age of Fifty: an Example of a Application, International Journal of Sport Culture and Science, 4(Special Issue 3), 744-761, 2016.
  • Liu K., Wang J., Tao X., Zeng X., Bruniaux P., Kamalha E. Fuzzy classification of young women's lower body based on anthropometric measurement, International Journal of Industrial Ergonomics, 55, 60-68, 2016.
  • Tsakalidou M. Analysing Anthropometric Measurement and Body Shape Data to Incorporate Body Asymmetry, due to Scoliosis, into Improved Clothing Sizing Systems, Fashion Practice, 9(3), 398-424, 2017. DOI: 10.1080/17569370. 2017.1368164
  • Pargas P. R., Staples J. N., Davis J. S. Automatic Measurement Extraction for Apparel from a 3 Dimensional Body Scan, Elsevier Science Limited, USA, 157–172, 1997.
  • Lin Y. L., Wang M. J. Automated body feature extraction from 2D images, Expert Systems with Applications, 38, 2585–2591, 2011.
  • Şengöz N. G., Zeybek F. Sharp Silhouettes for Obtaining 3D Body Measurements from 2D Images, Necmettin Erbakan University Journal of Science and Engineering, 4(2), 8-25, 2022.
  • Şengöz N. G., Zeybek F. Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images, Textile and Apparel, (Accepted on April 28, 2023, being published). DOI: 10.32710/tekstilvekonfeksiyon.1201436.
  • Eren R. C., Güngör A. A Different Method for Reaching Body Measurements, Graduation Project, Uşak University, Faculty of Engineering, Department of Textile Engineering, Uşak, Supervisor: Doctoral Lecturer N. G. Şengöz (Received support from TÜBİTAK 2209-A-2012-1), 2013.
  • Şengöz N. G., Eren R. C., Güngör A. Initiation of a Method for Obtaining Body Measurements from Two-Dimensional Images, XIV. International Textile and Apparel Symposium (IITAS-2017), 26-28 October, İzmir, TÜRKİYE, 109-112, 2017.
  • Bayraktar F. Setting the standardization for body size to be employed in the production of ready-made apparel for plus size women, PhD thesis, Gazi University, Institute of Educational Sciences, Department of Clothing Industry and Fashion Design Education, Ankara, 2007.
  • Cevahir E. Guide to Quantitative Data Analysis with SPSS, Kibele Publications No: 116 Review Research Series: 23, İstanbul, 2020.
  • Demir E., Saatçioğlu Ö., İmrol F. Examination of educational researches published in international journals in terms of normality assumptions, Current Research in Education, 2(3), 130-148, 2016.
  • Terzi Y., Basic Statistics-2 Lecture Notes, Ondokuz Mayıs University, Faculty of Science and Letters, Department of Statistics, Samsun, 1-90, 2018.
  • Dattalo P. Multivariate Multiple Regression, https://academic.oup.com/book/11361/chapter-abstract/160012687?redirec ted From= fulltext#, (Access date: November 18, 2023).

Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise

Year 2023, Volume: 4 Issue: 2, 50 - 67, 31.12.2023

Abstract

In this research, normality assumptions of body measurements are conducted according to five criteria, boxplots, and Kolmogorov-Smirnov and Shapiro-Wilk tests and proved normal. Besides, statistical selection of effective body measurements to define other body measurements is proposed for shorter, precise, time-cost saving. To support this proposel, correlation coefficients and multivariate multiple regression analyses (MMRAs) are conducted. Statistical selection of effective body measurements depend upon high correlation coefficient pairs of body measurements bases. MMRAs are handled from three different points of view; first, one body measurement being the dependent variable and other body measurements being independent variables enter Method; second, the same stepwise Method; and third, one body measurement being the dependent variable and statistically selected effective body measurements being independent variables enter Method; finally their Adj.r2’s are compared. This research progressed by working on each body measurement, but the waist circumference measurement is only presented here. Enter and stepwise methods concluded the highest and similar results, unexpectedly proposing the least statistical selection of effective body measurements. More profound work with different mathematical sciences will be implemented further.

Ethical Statement

Bizim kullandığımız veriler, sorumlu yazarın önceden yaptığı başka bir çalışmaya aittir.

Thanks

The authors greatly acknowledge the Leather Textile and Ceramics Design Application and Research Center of Uşak University located in Uşak, TÜRKİYE.

References

  • Eğri Ş. A. Problems Encountered in The Sample Review on a Threedimensional Body Scanner Systems (Kardem and Ima example), Master's thesis, Gazi University, Dressing Industry and Arts of Dressing Main Science Branch, Ankara, 2011.
  • Şener H. F. Developing a method for drawing patterns suitable for women's body characteristics. PhD thesis, Gazi University, Institute of Social Sciences, Ankara, 1995.
  • Kurt Ç. Müller Pattern System 36-42 Size, Examination and Development of Anthropometric and Ergonomic Compatibility of Basic Body and Basic Sleeve Patterns, Master's thesis, Selçuk University Institute of Social Sciences, Konya, 2007.
  • Seyhun G. Modeling from A to Z. Clothing Pattern Obtaining Techniques, Published personally, İstanbul, 1993.
  • Taylor J. P., Shoben M.M. Serialization Rules and Practice for the Apparel Industry. (Translated by: H. Bal & R. Akay), Gaye Filmcilik Printing Industry. Tic. Inc., Ankara, 1995.
  • Vural T., Çileroğlu B., Çoruh E. Body Size Standardization in Terms of Underwear Production of Women of 60 Years and Above, Textile and Apparel, 18(2), 149-153, 2008.
  • Kılınç N., Bor A. Examination of the Variance of Other Anthropometric Measurements of Lower Body in Respect to the Hip Size of the Women over the Age of Fifty: an Example of a Application, International Journal of Sport Culture and Science, 4(Special Issue 3), 744-761, 2016.
  • Liu K., Wang J., Tao X., Zeng X., Bruniaux P., Kamalha E. Fuzzy classification of young women's lower body based on anthropometric measurement, International Journal of Industrial Ergonomics, 55, 60-68, 2016.
  • Tsakalidou M. Analysing Anthropometric Measurement and Body Shape Data to Incorporate Body Asymmetry, due to Scoliosis, into Improved Clothing Sizing Systems, Fashion Practice, 9(3), 398-424, 2017. DOI: 10.1080/17569370. 2017.1368164
  • Pargas P. R., Staples J. N., Davis J. S. Automatic Measurement Extraction for Apparel from a 3 Dimensional Body Scan, Elsevier Science Limited, USA, 157–172, 1997.
  • Lin Y. L., Wang M. J. Automated body feature extraction from 2D images, Expert Systems with Applications, 38, 2585–2591, 2011.
  • Şengöz N. G., Zeybek F. Sharp Silhouettes for Obtaining 3D Body Measurements from 2D Images, Necmettin Erbakan University Journal of Science and Engineering, 4(2), 8-25, 2022.
  • Şengöz N. G., Zeybek F. Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images, Textile and Apparel, (Accepted on April 28, 2023, being published). DOI: 10.32710/tekstilvekonfeksiyon.1201436.
  • Eren R. C., Güngör A. A Different Method for Reaching Body Measurements, Graduation Project, Uşak University, Faculty of Engineering, Department of Textile Engineering, Uşak, Supervisor: Doctoral Lecturer N. G. Şengöz (Received support from TÜBİTAK 2209-A-2012-1), 2013.
  • Şengöz N. G., Eren R. C., Güngör A. Initiation of a Method for Obtaining Body Measurements from Two-Dimensional Images, XIV. International Textile and Apparel Symposium (IITAS-2017), 26-28 October, İzmir, TÜRKİYE, 109-112, 2017.
  • Bayraktar F. Setting the standardization for body size to be employed in the production of ready-made apparel for plus size women, PhD thesis, Gazi University, Institute of Educational Sciences, Department of Clothing Industry and Fashion Design Education, Ankara, 2007.
  • Cevahir E. Guide to Quantitative Data Analysis with SPSS, Kibele Publications No: 116 Review Research Series: 23, İstanbul, 2020.
  • Demir E., Saatçioğlu Ö., İmrol F. Examination of educational researches published in international journals in terms of normality assumptions, Current Research in Education, 2(3), 130-148, 2016.
  • Terzi Y., Basic Statistics-2 Lecture Notes, Ondokuz Mayıs University, Faculty of Science and Letters, Department of Statistics, Samsun, 1-90, 2018.
  • Dattalo P. Multivariate Multiple Regression, https://academic.oup.com/book/11361/chapter-abstract/160012687?redirec ted From= fulltext#, (Access date: November 18, 2023).
There are 20 citations in total.

Details

Primary Language English
Subjects Manufacturing and Industrial Engineering (Other)
Journal Section Research Articles
Authors

Nefise Şengöz 0000-0001-8688-1141

Fatih Zeybek 0000-0002-1866-197X

Publication Date December 31, 2023
Submission Date December 10, 2023
Acceptance Date December 29, 2023
Published in Issue Year 2023 Volume: 4 Issue: 2

Cite

APA Şengöz, N., & Zeybek, F. (2023). Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 4(2), 50-67.
AMA Şengöz N, Zeybek F. Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. December 2023;4(2):50-67.
Chicago Şengöz, Nefise, and Fatih Zeybek. “Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise”. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 4, no. 2 (December 2023): 50-67.
EndNote Şengöz N, Zeybek F (December 1, 2023) Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 4 2 50–67.
IEEE N. Şengöz and F. Zeybek, “Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise”, Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 4, no. 2, pp. 50–67, 2023.
ISNAD Şengöz, Nefise - Zeybek, Fatih. “Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise”. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 4/2 (December 2023), 50-67.
JAMA Şengöz N, Zeybek F. Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2023;4:50–67.
MLA Şengöz, Nefise and Fatih Zeybek. “Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise”. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 4, no. 2, 2023, pp. 50-67.
Vancouver Şengöz N, Zeybek F. Statistical Selection of Effective Body Measurements: Waist Circumference Measurement Exercise. Muş Alparslan Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2023;4(2):50-67.