Bu çalışmada sınırlı bağımlı değişkenli modelleri açıklamada yaygın biçimde kullanılan Tobit Model incelenmiştir. Çalışmanın amacı bağımlı değişkeni sınırlı olan veri setlerinin parametre tahmin basamaklarını hem teorik olarak hem de bir uygulama ile anlatmaya çalışmaktır. Literatür tarama yöntemi kullanılarak tobit model ana çizgileri ile anlatılmış, toplanan bilgiler bir örnek ile sayısallaştırılarak daha anlaşılır hale getirilmiştir. Çalışmanın sonucunda analiz süreçlerinde sürekli ve kesikli karma veri yapısı ile karşılaşan araştırıcılara tobit regresyon modelinin teorisi sunulmuş ve istatistiksel çıkarsama sürecinde Tobit model kullanımı önerilmiştir.

Purpose This study aimed to determine the factors affecting the ORTO-R scores in individuals with T2DM and to investigate their effect on diabetes self-management. Methods The study included 373 individuals with type 2 diabetes between the ages of 18–65 who applied to Akdeniz University Hospital Endocrinology and Metabolic Diseases Polyclinic between January and May 2022. A questionnaire including sociodemographic data, information about diabetes, and nutritional habits, and the ORTO-R and Type 2 Diabetes Self-Management Scales were used to collect data. Linear regression analysis was performed to determine the factors affecting ORTO-R. Results The linear regression analysis showed that age, gender, education level, and duration of diabetes affected ORTO-R scores in patients with type 2 diabetes. Body mass index, comorbidities (cardiovascular diseases, kidney diseases and hypertension), diabetes-related complications, diabetes treatment method and dieting had no significant contribution to the model (p > 0.05). We also found that education level, comorbidities, diabetes-related complications, diabetes treatment method, dieting, and BMI can affect diabetes self-management. Conclusion It should be kept in mind that type 2 diabetes are at risk of orthorexia nervosa (ON) in terms of various aspects such as age, gender, education level and duration of diabetes. Since the factors affecting the risk of ON and the factors affecting diabetes self-management are intertwined, orthorexic tendencies should be kept under control while trying to increase self-management in these patients. In this respect, developing individual recommendations according to the psychosocial characteristics of patients may be an effective approach. Level of evidence Level V, cross-sectional study.

Purpose This study was conducted to investigate the relationship between the presence of orthorexia nervosa and diabetes self-management in individuals with type 2 diabetes. Methods The study included 373 individuals with type 2 diabetes between the ages of 18–65 who applied to Akdeniz University Hospital Endocrinology and Metabolic Diseases Polyclinic between January 2022 and May 2022. In the study, a questionnaire including sociodemographic data, information about diabetes, nutritional habits, ORTO-R and "Type 2 Diabetes Self-Management Scale" was used as a data collection tool. In addition, height and weight measurements were taken and body mass index (BMI) were calculated. Biochemical parameters were evaluated by accessing from the hospital system. Results 46.1% of the participants were men, 53.9% were women and mean age was 57.5 ± 9.6 years. Low diabetes self-management is associated with an increase in fasting glucose (p < 0,05), HbA1c (p < 0,05), BMI (p < 0,01). ORTO-R scores were significantly higher in the group with low diabetes self-management (p < 0,001). Education level, presence of non-diabetic disease and diabetes-related complication, treatment method are the factors affecting diabetes self-management and ON. While medical nutrition therapy provides better diabetes self-management, it increases the susceptibility to ON. Conclusion ON is common in people with type 2 diabetes. Although medical nutrition therapy provides better self-management, it may increase susceptibility to ON. Level of evidence: Level V, cross-sectional study

The aim of this study is to compare the robustness of Manova test statistics against Type I error rate using the Monte Carlo simulation technique. In the method, numbers are generated according to constant and increasing variance for g=3,4,5 group p=3,5,7 dependent variables n=10,30,60 sample size using the R. Numbers have been produced using these 54 combinations. Pillai Trace test statistic has been the least deviating from the nominal α =0.05 value. Wilk Lambda and Hotelling-Lawley Trace test results were close to each other. The researchers can decide according to the comparison results of the analysis's suggested decision stage.

Bu çalışmada 4 değişkenli/ölçümlü (p=4) X bağımlı değişken grubu ve 6 değişkenli/ölçümlü (q=6) Y bağımsız değişken grubu kullanılarak bu değişkenler arasındaki kanonik korelasyon katsayıları hesaplanmıştır. Bulunan bu katsayıların, korelasyon matrisi üzerinden bulunan H1 ve H2 çözüm matrisinin öz değerlerinin kareköklerine eşit olduğu teorik olarak gösterilmiştir. Ayrıca X değişken kümesi ve Y değişken kümesi arasındaki, bulunan katsayıların önem kontrolleri yapılmıştır. Paket programlarla kısa sürede hesaplanan kanonik katsayıların ve bunların önem kontrollerinin teorik olarak nasıl hesaplandığı, bu hesaplamaların matematiksel alt yapısı ve işlem basamakları da gösterilmiştir.

In this article, the 19-item information dimension of the scale, originally named "Sustainability Consciousness Questionnaire", was developed by Michalos, Creech, Swayze, Kahlke, Buckler & Rempel (2012) and updated by Gericke, Pauw, Berlung & Olsson (2018), whose factor structure was previously revealed. (latent variable) Construct validity was tested by applying it to a new data set of 307 people. IBM SPSS and AMOS statistical package programs were used in the analysis of the data. According to the results obtained in the study; It was found that the information dimension of the scale was gathered under three factors as in the original and it could explain 61.72% of the total variance. As a result of the reliability analysis, it was determined that the scale had a high level of reliability according to the Cronbach's-α coefficient (Cronbach's-α =0.923). In the confirmatory factor analysis, the improvement in the goodness of fit coefficients was examined by controlling the modification indices. In addition, the path coefficients of how much the 19 items belonging to the first level of the scale predict the latent variable are all significant. Among the items, it was found that the 13th and 14th items had the most effect (β1= 0.828, p

In the traditional growth curve or milk yield models used in animal husbandry; models such as Brody, Von Bertalanffy, Logistic, Gompertz and Richards are used based on classical regression analysis. In this study, an alternative growth curve or milk yield model was proposed with the help of sinusoidal functions based on trigonometric functions. In this model, a sinusoidal curve model fitting and parameter estimation have been made by using a numerical sample of milk yield data set. In addition, this study aims to explain the applicability of periodic features of sinusoidal functions in agriculture and animal data. It is thought that this solution which can be applied in different fields will be beneficial for researchers.