Browsing by Author "Eyduran, Ecevit"

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Adaptation of Eight American Blackberry (Rubus Fructicosus L.) Cultivars for Central Anatolia
(Academic Journals, 2008) Eyduran, S. Peral; Eyduran, Ecevit; Khawar, Khalid Mahmood; Agaoglu, Y. Sabit
Blackberry is an important fruit plant cultivated for its delicious fruit throughout Europe and America. Although the fruit has wide acceptance in Turkey, it is not cultivated on large scale. The study aimed to evaluate the performance of Arapaho, Black Satin, Cherokee, Chester Thornless, Dirksen Thornless, Jumbo, Navaho and Loch Ness cultivars of American origin for adaptation under Central Anatolian conditions at Ankara during 2002-06. The results showed that changes in the environmental conditions affected yield, performance of number of canes, cane length, cane diameter, yield per plant, fruit weight and total acid content (g/l) significantly. Overall comparison of the results showed that cv. Chester Thornless is most suitable for the environmental conditions of Central Anatolia.
Analysis of Random Intercept and Slope Model (Rism) for Data of Repeated Measures From Hy-Line White Laying Hens
(Zoological Soc Pakistan, 2016) Eyduran, Ecevit; Ser, Gazel; Cinli, Harun; Tirink, Cem; Yakar, Yasin; Duru, Metin; Tariq, Mohammad Masood
In animal science, sequential variation on quantitative traits during a certain time period should be precisely identified for regulating managerial conditions in animal experimental data. This study was conducted in order to investigate the effect of including some covariates on performance of covariance structures, fixed and random effects on the scope of random intercept and slope model (RISM) in order to improve model quality criteria. In repeated measurement data of laying hens, cumulative egg weight (CEW) per hen as a dependent variable was recorded per week, and treatment, time and treatment x time interaction effects were added as independent variables. Time effect was considered as a continuous variable in RISM. For better improving quality of RISM, feed intake (FT), feed conversation ratio (FCR), and egg mass (EGGM) per week were also included as covariates. Model quality criteria like-2 Res Log Likelihood, Akaike's Information Criterion (AIC), Bayesian Information Criterion (BIC), and Corrected Akaike's Information Criterion (AICC) criterion were used to identify best covariance structure among Compound Symmetry (CS), Heterogeneous Compound Symmetry (CSH), Unstructured (UN), First-Order Autoregressive (AR(1)), Unstructured correlation (UNR), Heterogeneous First-Order Autoregressive (ARH(1)), Toeplitz (TOEP) and Heterogeneous Toeplitz (TOEPH) with/without adding covariates. The explanation proportion of 90% in the dependent variable (CEW) was estimated for CSH, UNR, ARH(1), TOEPH, and UN as an outcome of adding covariates, which was prominently higher than the RISM without adding covariates. The significant differences in parameter estimates of fixed and random effects were recorded between the RISM with and without covariates. In repeated measures design, adding covariates in improving quality criteria of RISM could be recommended for data of laying hens
Ayaş Koşullarında Yetiştirilen Böğürtlen Çeşitlerinin Bazı Pomolojik Özelliklerinin Karşılaştırılması
(2007) Ağaoğlu, Y.sabit; Eyduran, Ecevit; Eyduran, S. Peral
Öz: Ankara (Ayaş) ekolojisinde 5 yıl boyunca yetiştirilen 11 böğürtlen çeşidinin (Arapaho, Black Satin, Bursa 1, Bursa 2, Bursa 3, Cherokee, Chester, Dirksen Thornless, Jumbo, Navaho ve Ness) pomolojik özelliklerinden; meyve ağırlığı, toplam asit ve suda çözünebilen kuru madde miktarları mukayese edilmiştir. Her pomolojik özellik için çalışmada elde edilen verilere “Tekrarlanan Tesadüf Parselleri Deneme Deseni”nde varyans analizi (11x5x3) uygulanmıştır. Yapılan analizlerde, pomolojik özellikleri üzerine yıl, çeşit ve çeşit x yıl interaksiyon faktörlerinin etkileri oldukça önemli bulunmuştur (P<0.0001). İnteraksiyona ilişkin alt-grup karşılaştırmalarında, aynı yıl içinde çeşitler arasındaki farklar değerlendirmeye alınmıştır. Bunun sonucunda, meyve ağırlığı bakımından Chester, Dirksen Thornless ve Jumbo çeşitlerinin en fazla meyve ağırlığına sahip çeşitler; toplam asitlik bakımından Dirksen Thornless, Bursa 2 ve Ness çeşitlerinin en fazla asitliğe sahip çeşitler olduğu; suda çözünebilen kuru madde miktarı açısından Bursa 2, Navaho ve Chester çeşitlerinin en fazla suda çözünebilen kuru madde miktarına sahip oldukları bulunmuştur. Sonuç olarak, pomolojik özelliklerde oluşan farklılık; i) çeşitler arasındaki farklılıktan, ii) yıllar boyunca oluşan ekolojik farklılıktan ve iii) çeşit ile yıllar boyunca oluşması muhtemel ekolojik etkiler arasındaki interaksiyondan kaynaklanmaktadır.
Carcass Weight Estimation From Some Morphological Traits of Capoeta Capoeta Capoeta (Guldenstadt, 1772) Using Factor Scores in Multiple Regression Analysis
(Isoss Publ, 2012) Eyduran, Ecevit; Topal, Mehmet; Sonmez, Adem Yavuz; Keskin, Siddik
The aim of this study is to predict carcass weight from some morphological traits (total length, fork length, standard length, head length, body height and weight) by using jointly factor and multiple regression analyses. A total of 91 Capoeta capoeta capoeta fish was used to estimate carcass weight. The suitability of factor analysis was determined with Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (0.87) and Bartlett's test of sphericity (P < 0.01). VARIMAX rotation was used to facilitate interpretation of factor loadings (L-ik). Other morphological traits (total length, fork length, standard length, head length, body height, and weight) except for carcass weight were exposed to factor analysis. As a result of factor analysis, three latent variables were obtained from six morphological traits and considered as independent variables in multiple regression analysis. Additionally, carcass weight was used as a dependent variable in multiple regression analysis. The developed model was determined as CW = 0.484 FS1 - 0.324 FS2 + 0.755 FS3. The obtained results shown that, the three selected factors had significant effects (P < 0.01) and explained 95.3% of variation in carcass weight. With using factor scores in the multiple regression analysis, carcass weight was predicted successfully by using these morphological traits. According to these results, it could be suggested that carcass weight might be increased by improving these morphological traits. The developed model might allow us to obtain beneficial clues for selection programs to be conducted on other fish species.
Çoklu Doğrusal Bağlantı Durumunda Ridge ve Temel Bileşenler Regresyon Analiz Yöntemlerinin Kullanımı
(2010) Sonmez, Adem Yavuz; Yağanoğlu, A. Mutlu; Topal, Mehmet; Eyduran, Ecevit; Keskin, Sıddık
Ridge ve temel bileşenler regresyon analiz yöntemleri, çok değişkenli regresyon verilerini analiz etmek için kullanılan istatistik analiz yöntemleridir. Çoklu bağlantı ortaya çıktığında en küçük kareler tahminleri sapmasız olmasına karşın tahminlerin varyansları büyük olduğundan gerçek değerlerinden oldukça uzakta olabilmektedirler. Bir derece yanlı regresyon tahminlerine izin vermek suretiyle ridge ve temel bileşenler regresyon standart hataları indirgenir. Dolayısıyla çoklu bağlantı durumu mevcut olduğunda en küçük kareler metoduna alternatif olarak ridge ve temel bileşenler regresyon metotları kullanılabilir. Bu araştırmada farklı yaşlara sahip 91 adet sazan balığından elde edilen çeşitli vücut ölçüleri kullanılarak karkas ağırlığını tahminleyen bir modelin geliştirilmesi amaçlanmıştır. Vücut ölçüleri arasında çoklu bağlantı durumu ortaya çıkmasından dolayı en küçük kareler regresyonuna alternatif olan ridge ve temel bileşenler regresyon analiz yöntemleri uygulanmış ve aynı veri seti için bu üç metot karşılaştırılmıştır. Karşılaştırma kriteri olarak belirleme katsayısı (R2), hata kareler ortalamasının karekökü (S), hata kareler ortalaması ve modellerin varyasyon katsayısı kullanılmıştır. Bu kriterlere göre, en iyi uyumu sırasıyla en küçük kareler (R2=0.905, S=19.587), ridge (R2=0.898, S=20.2563) ve temel bileşenler regresyon (R2=0,878 S=22.127) metotlarının verdiği gözlenmiştir. Sonuç olarak, çoklu doğrusal bağlantı durumunda en küçük kareler metodu kullanmak yerine Ridge ve temel bileşenler regresyon yöntemlerinin kullanılmasının daha doğru olabileceği kanaatine varılmıştır.
Comparison of Different Approaches Used for Analyzing Experiments With Repeated Measurement
(2009) Eyduran, Ecevit; Akbaş, Yavuz
Bu çalışma, tekrarlanan ölçümlü denemelerin analizinde kullanılan tek ve çok değişkenli yaklaşımlarının performanslarını karşılaştırmak ve veri setleri için en iyi kovaryans yapısını belirlemek amacıyla gerçekleştirilmiştir.Araştırma materyali olarak 1982-1999 yıllarında Türkiye'deki 7 coğrafi bölgede bulunan 65 ile ait buğday üretim (ton) verileri kullanılmıştır. Toplam 1170 üretim değeri elde edilmiştir. Eksik gözlem içeren veri seti iki farklı şekilde oluşturulmuştur. Birincisi, toplam gözlem sayısının sırasıyla; %10'unun, %20'sinin ve %30'unun çıkarılması ile eksik gözlemli veri setleri oluşturulmuştur. İkincisi, her bölgede bulunan il sayısının belirli sayıda olması (3 ve 6) ve belirli oranlarda (%25 ve %50) azaltılması suretiyle elde edilmiştir.Genel doğrusal modellerde, 9 farklı kovaryans yapısı kullanılmıştır. Bunlar, CS, CSH, UN, HF, AR(1), ARH(1), ANTE(1), TOEP ve TOEPH'dir. En iyi kovaryans yapısı, AIC ve AICC uyum ölçütlerini kullanarak belirlenmiştir.Genel doğrusal modelde kullanılan Containment, Satterthwaite, ve Kenward Roger yaklaşımlar için;Eksik gözlem olmayan veri seti, %10 eksik gözlem, %20 eksik gözlem ve % 30 eksik gözlem içeren veri setleri için en iyi kovaryans yapısı CS'dir.Her bölgedeki deney ünitesi sayısının % 25 azaltılması ile suretiyle oluşturulan veri setinde en iyi kovaryans yapısı HF olmasına rağmen, deney ünitesi sayısının % 50 azaltılması ile suretiyle oluşturulan veri seti için ise CS'dir.Her bölgede 3 ve 6 deney ünitesi (il) olan dengeli veri setleri için en iyi kovaryans yapılarının CSH ve HF olduğu görülmüştür.Eksik gözlemden etkilememesinden ve veri setlerine ait gözlem sayılarının yeterli olmasından dolayı Containment, Satterthwaite ve Kenward Roger yaklaşımlarının oldukça iyi sonuçlar verdiği söylenebilir.Anahtar Kelimeler: Containment, Genel Doğrusal Model, Kenward-Roger, Profil Analizi, Satterthwaite, Tekrarlanan ölçümlü ANOVA.
Comparison of Some Pomological Characteristics of Blackberry Cultivars Growth in Ayas Conditions
(Ankara Univ, Fac Agr, 2007) Agaoglu, Y. Sabit; Eyduran, S. Peral; Eyduran, Ecevit
The aim of this study was to compare each other in place of fruit weight, total acid and soluble solid contents of pomological characteristics of 11 blackberry cultivars (namely, Arapaho, Black Satin, Bursa 1, Bursa 2, Bursa 3, Cherokee, Chester, Dirksen Thornless, Jumbo, Navaho and Ness) cultivated in Ankara (Ayas) ecology during 2002-2006. Analyses of Variance at Repeated Random Complete Design (11x5x3) were applied for data regarding each pomological characteristics. According to the analyses, the effects of year, cultivar, and cultivar by year interaction on the pomological characteristics were much more significant (P<0.0001). Comparisons of sub-group for cultivar by year interaction were evaluated between cultivars in the same year. As to the study results, it were suggest that Chester, Dirksen Thornless and Jumbo were found having the largest fruit weight; Dirksen Thornless, Bursa 2 and Ness were cultivars having the largest total acid; Bursa 2, Navaho ve Chester were cultivars that had soluble solid contents. As a result, variation in pomological characteristics resulted from i) variation between cultivars ii) ecological variation during years iii) likely ecological effects consisted of cultivar by year interaction.
Defining Associations Between Berry Features of Wild Red Currant Accessions Utilizing Various Statistical Methods
(Springer, 2022) Akin, Meleksen; Eyduran, Sadiye Peral; Gazioglu Sensoy, Ruhan Ilknur; Eyduran, Ecevit
This research was performed to define genetic diversity of wild red currant accessions native to Eastern Anatolia region of Turkey by revealing associations between physicochemical berry characteristics through various statistical methods including Explanatory factor analysis, hierarchical cluster analysis (single linkage-Euclidian distance) and fuzzy clustering (Manhattan distance). The factor analysis explained 89% of the data variability on the tested berry features by four factors. The first factor was called berry color and showed positive loadings on A (0.947), B (0.925) and negative loading on L (- 0.909). The second factor was named organoleptic which had positive loadings on aroma (0.993) and taste (0.993). The third factor was called pomology and pH and demonstrated positive loadings on fruit weight (0.903) and fruit length (0.824), but negative loading on pH (- 0.583). The fourth factor was named soluble solid content and exhibited positive loading of 0.928. The hierarchical cluster analyses resulted with seven clusters showing 83.89 (%), 83.33 (%), 80.71 (%), 88.21 (%), 91.28 (%), 95.12 (%) and 90.37 (%) similarity for the first, second, third, fourth, fifth, sixth and seventh clusters, respectively. The largest values of average silhouette and Dunn's partition coefficient, as well as the smallest value of the normalized partition coefficient of fuzzy clustering analysis resulted in five clusters. Furthermore, a hybrid approach combining fuzzy clustering and decision tree algorithms was established to better characterize the phenotypical profile of red currants. We can conclude that the statistical methods utilized in this research could be a useful tool in revealing phenotypic similarities and differences among red currant accessions, and the knowledge on berry feature associations could be helpful in plant breeding programs.
Determination of Factors Influencing Birth Weight Using Regression Tree (Rt) Method
(Garuda Scientific Publications, 2008) Eyduran, Ecevit; Karakus, Kadir; Keskin, Siddik; Cengiz, Firat
This study was conducted to evaluate the effects of genotype, sex, birth type and year and dam age on birth weight by applying regression tree method using 101 Karakas and 103 Norduz lambs raised at Research and Application Farm of the Faculty of Agriculture, Yuzuncu Yil University, Van, Turkey. The effect of sex on single-lambs was significant, whereas, genotype had a significant effect on twin-lambs. The heaviest mean birth weight was obtained by single-male lambs, but twin-lambs born by dam of 2, 3 and 6 years age in the Norduz breed had the lowest mean birth weight.
Determination of the Best Growth Curve and Measurement Interval in Norduz Male Lambs
(Medwell online, 2008) Karakus, Kadir; Eyduran, Ecevit; Kum, Derya; Ozdemir, Tenar; Cengiz, Firat
The aim of this study, was to determine the best non-linear model and measure interval (biweekly or monthly) in explaining the body weight-age relationship in Norduz male lambs born in 2004. For this aim, Brody, Logistic, Gompertz and Richards non-linear models were fitted to the average body weight-age data with 15 (biweekly) days and 30 (monthly) days of measure intervals. Although, Logistic model become equal to Richards model (99.8%) for two intervals, Logistic model had lower RMSE than Richards model. Therefore, the best non-linear model for 2 intervals was Logistic model having the highest coefficient of determination (R-2) but the lowest Root of Means Square Error (RMSE). Contrary to Brody non-linear model, the usage of 30 days of measure intervals performed positive effect on Logistic, Gompertz and Richards non-linear models instead of 15 days of measure interval. As a result, it was concluded that the best non-linear model for Norduz male lambs was Logistic model and the appropriate measure interval for Norduz male lambs was monthly interval.
The Effect of Gender, Genotype, Dam Age, Birth Year and Birth Type on Birth Weight: Norduz and Karakas Lambs
(Medwell online, 2008) Karakus, Kadir; Budag, Cemal; Tuncer, S. Seckin; Ozdemir, Taner; Eyduran, Ecevit
The present study was conducted to determine the effects of several environmental factors on 572 lambs (229 Karakas and 343 Norduz) raised at Research and Application Farm of Agricultural Faculty, Yuzuncu Yil University, Van, Turkey. In this study, birth type (single and twin), gender (male and female), dam age at lambing (1, 2, 3, 4, 5, 6 and 7) and birth year (2004, 2005, 2006 and 2007) and birth weights (kg) of Norduz and Karakas Lambs were recorded. According to results obtained from the present study, genotype factor on birth weight of Norduz lambs was non-significant, the influences of gender (p<0.001), dam age (p<0.01), birth type (p<0.001) and birth year (p<0.001) on it were found significant. As a result, the birth weight trait provides useful information for early selection criteria in breeding program.
Environmental Factors Influencing Birth Weights of Norduz and Karakas Lambs
(Medwell online, 2008) Karakus, Kadir; Eyduran, Ecevit; Bolacali, Memis; Ozdemir, Taner
The aim of this study was to compare birth weights of Norduz and Karakas genotypes and determine the effects of gender, birth type, dam age and genotype on birth weight. The data were composed of a total of 204 (103 Norduz and 101 Karakas) lambs born in 2003 in Van, in located region of the Eastern Anatolia, Turkey. The effects of gender (p<0.05), birth type (p<0.05) and dam age (p<0.05) on birth weight were found to be significant, whereas difference among averages of birth weight of breeds was found to be non-significant. As a result, using of birth weight as crucial criterion for early selecting animal is based on determination and elimination of some factors affecting the trait.
Estimation of Fruit Weight by Cane Traits for Eight American Blackberries (Rubus Fructicosus L.) Cultivars
(Academic Journals, 2008) Eyduran, S. Peral; Eyduran, Ecevit; Agaoglu, Y. Sabit
The present paper aimed to estimate fruit weight by their cane traits (the number of cane, cane height, cane diameter, and cane yield) for eight American blackberry cultivars (namely, Ness, Cherokee, Arapaho, Chester Thornless, Navaho, Black Satin, Dirksen Thornless and Cv. Jumbo) grown in Central Anatolia during 2002 - 2006. For this aim, average of fruit weight (dependent variable) for each cultivar was estimated by independent variables such as the number of cane, cane height, cane diameter, and cane yield in Multiple Regression Analysis (MRA). With respect to determination coefficients for each cultivar, it is clear that cultivars having the best fit (giving the best R-2 values) in MRA were found to be Black Satin (99.40%), Ness (99.16%), Navaho (96.46%), Dirksen Thornless (96.22%), Chester Thornless (91.92%), and Cv. Jumbo (91.26%), which meant that most (almost 100%) variation in fruit weight for these cultivars was explained by the number of cane, cane height, cane diameter, and cane yield. However, corresponding values for Arapaho and Cherokee cultivars was estimated as 2.88% and 33.2% of the total variation in fruit weight. It was concluded that number of canes had positive-significant effect on fruit weights of Dirksen Thornless (P < 0.001) and Cv. Jumbo (P < 0.01), but negative-significant effect on that of Black Satin (P < 0.001). Cane height had positive-significant effect on fruit weights of Black Satin (P < 0.001) and Ness (P < 0.001) cultivars, but negative-significant effect on cv. Chester Thornless (P < 0.001) and Dirksen Thornless (P < 0.01). Cane diameter had positive-significant effect on fruit weights of Black Satin (P < 0.001) and Chester Thornless (P < 0.01), Navaho (P < 0.05), Ness (P < 0.01) cultivars, whereas it had negative-significant effect on cv. Jumbo (P < 0.05). Cane yield had positive-significant effect on fruit weight of only Cv. Jumbo, but negative-significant effect on cv. Black Satin (P < 0.001), Chester Thornless (P < 0.01), Dirksen Thornless (P < 0.001), Navaho (P < 0.001) and Ness (P < 0.001). It was concluded that cane traits with the positive and negative effect on fruit weight provide useful clues for breeding proposes to improve fruit weight.
Estimation of Fruit Weight by Cane Traits for Various Raspberries (Rubus Ideaus L.) Cultivars
(Academic Journals, 2008) Eyduran, S. Peral; Eyduran, Ecevit; Agaoglu, Y. Sabit
Raspberries are an important commercial fruit crop, widely grown in all temperate regions of the world. The raspberries contain significant amounts of polyphenol antioxidants such as anthocyanin pigments linked to potential health protection against several human diseases. The aim of this study was to estimate fruit weight by their cane traits (the number of canes, cane height, cane diameter, and cane yield) for Aksu Red, Canby, Heritage I, Heritage II, Holland Dwarf, Nuburg, Rubin, Summit, Tulameen, and Willamette cultivars grown in Central Anatolia region during 2002 - 2006. For this aim, average fruit weight (dependent variable) for each cultivar was estimated by independent variables such as the number of cane, cane height, cane diameter, and cane yield using Multiple Regression Analysis (MRA). The results clearly show that cultivars having the best fit (giving the best R-2 values and the lowest RMSE) in MRA were: Holland Dwarf (99.64%), followed by Heritage I (99.06%), Summit (98.6%) Aksu Red (92.82%), Willamette (92.68%), Heritage I (90.46%), Rubin (90.28%) and Canby (85.45%). Multiple Regression Modeling gave good results for these cultivars. However, R2 values of these cultivars were found higher (better fit) than those of Nuburg and Tulameen cultivars. It was concluded that the number of canes had significant negative effect on fruit weights of Heritage (P < 0.05) and Summit (P < 0.001) cultivars, but significant positive effect on only fruit weight of Rubin cultivar (P < 0.05). Cane height had significant positive effect on fruit weights of Aksu Red (P < 0.001), and Summit (P < 0.001) cultivars, while it had significant negative effect on fruit weights of Canby (P < 0.05) and Heritage I (P < 0.05). Cane diameter had significant positive effect on fruit weights of Aksu Red (P < 0.001), Heritage I (P < 0.001), and Tulameen (P < 0.05) cultivars. Cane yield had significant positive effect on fruit weights of Canby (P < 0.05), Heritage I (P < 0.001), Heritage II (P < 0.05), Holland Dwarf (P < 0.001), Summit (P < 0.001) and Willamette (P < 0.01) cultivars, but significant negative effect on only fruit weight of Aksu Red cultivar (P < 0.01). The effects of cultivar, year, and cultivar by year interaction for fruit weight and all cane traits were statistically significant (P < 0.001). As a result, cane traits with the positive and negative effect on fruit weight for each cultivar might provide valuable clues for breeding proposes to improve fruit weight.
Hayvancılıkta Kategorik Verilerde Ki-kare ve G Testi
(2005) Küçük, Mürsel; Eyduran, Ecevit; Özdemir, Taner
Bu çalışmada kategorik hale dönüştürülen kirli yapağı verimi, transferin tipi, hemoglobin tipi ve cinsiyet özellikleri arasındaki ilişkiler, G ve Ki-kare istatistikleri ile belirlenmeye çalışılmıştır. Kirli yapağı verimi ile transferin tipi özelikleri G istatistiğine göre birbirine bağımlı (P<0.05) bulunurken, ki-kare istatistiğine göre birbirinden bağımsız bulunmuştur. Diğer özellikler için ki-kare ve G istatistiği aynı sonuçları vermiştir. Sonuç olarak, iki yönlü tablolarda beklenen frekansların 5’ten az olması durumunda ki-kare istatistiğine ilaveten, G istatistiğinin de hesaplanarak buna göre karar vermenin daha uygun olacağı vurgulanmıştır.
Öğretmen Adaylarının Eğitimde Teknolojiyi Kullanabilme Özgüvenlerinin Tespiti
(2009) Erdemir, Naki; Bakırcı, Hasan; Eyduran, Ecevit
Yüksek Öğretim Kurumlarında öğretim amaçlı teknoloji kullanımı son on yılda artmıştır, ancak eğitim ve öğretimde ilgili problemler hala gündemdedir. Araştırmanın amacı, öğretmen adaylarının öğretimde interneti, bilgisayarı ve öğretim amaçlı teknolojiyi faklı değişkenlere göre kullanabilme ve hazırlayabilme beceri düzeyleri hakkındaki görüşlerini tespit etmektir. Çalışma iki eğitim fakültesinde öğrenim gören ilköğretim matematik, fen bilgisi, sosyal bilgiler, okulöncesi, sınıf ve Türkçe öğretmenliği Anabilim Dalında öğrenim gören 325 öğretmen adayı ile yürütülmüştür. Ölçek olarak, 29 maddelik Likert tipi Teknoloji Tutum Ölçeği kullanılmıştır. Veriler bilgisayar ortamında SPSS 15.50 paket programı kullanılarak; ortalama, ANOVA ve Chi- Square istatistiği ile analiz edilmiştir. Öğretmen adayları, interneti ve bilgisayarı öğretim amaçlı kullanabilmede kendilerini yeterli hissetmezken, arama motorlarını kullanmada yeterli olduklarını, öğretim amaçlı basit materyalleri hazırlayabildiklerini, karmaşık ve çok amaçlı öğretim cihazlarını hazırlayamadıklarını belirtmişleridir. Öğretim amaçlı teknolojiyi kullanabilme özgüveninde, kadın öğretmen adayları erkek öğretmen adaylarından daha iyi seviyede oldukları sonucuna varılmıştır. Adaylara bilgisayar ve öğretim amaçlı teknoloji kullanmayı gerektiren bireysel araştırma ve proje ödevleri ile bu fark giderilebilir.
Siyah Alaca İnek Sütündeki Somatik Hücre Sayısına Laktasyon Sırası ve Dönemin Etkisi
(2005) Keskin, Sıddık; Özdemir, Taner; Eyduran, Ecevit; Yazgan, Kemal
Bu çalışmada amac, Siyah-Alaca ineklerin sütlerinde bulunan somatik hücrelerin miktarını belirlemekle birlikte süt verimi, laktasyon sırası ve dönem (Ağustos-Kasım) gibi faktörlerle olan ilişkilerini ortaya koymaktır. Süt örnekleri, 2001 Kasım ve Ağustos dönemleri olmak üzere akşam sağımlarında iki defa alınmıştır. Somatik hücre sayımı “direkt sayım metodu” ile yapılmıştır. Bağımsız tesadüfi hatadan kaynaklanan heterojenliği minimize etmek için aylık SHS değerlerine logaritmik transformasyon yapılmıştır. Ağustos ve Kasım ayı için ortalama SHS değeri, sırasıyla 1311761 ± 239631 SHS/ml ve 732810 146264 SHS/ml bulunmuştur.LOGSHS’nin laktasyon sıralarına göre değişimi incelendiğinde, Ağustos ayındaki gözlenen LOGSHS, Kasım ayında gözlenenden çok daha yüksektir. Tekrarlanan ölçümlü deneme deseninde, LOGSHS’ ye göre hem laktasyon sıraları hem de dönem ortalamaları arasındaki fark önemli bulunmuştur( P<0.05 ). Sonuç olarak, laktasyon sırası ve mevsim faktörlerinin SHS üzerine negatif etkili olduğu söylenebilir.
Usage of Penalized Maximum Likelihood Estimation Method in Medical Research: an Alternative To Maximum Likelihood Estimation Method
(Isfahan Univ Med Sciences, 2008) Eyduran, Ecevit
The paper was to reduce biased estimation using new approach (Penalized Maximum Likelihood Estimation (PMLE) Method) in Logistic Regression. For this aim, unreal four small data sets were randomly generated. Maximum Likelihood Estimation (MLE) and PMLE Methods were applied and compared for separation case including biased estimation in Logistic Regression when one of the cells in 2 x 2 tables becomes equal to zero (separation problem). Parameters beta(1) and their standard error obtained by using MLE for four data sets were 12.56 +/- 257.8, 13.46 +/- 264.3, 13.42 +/- 210.3, and 13.41 +/- 180.4, respectively, meaning that MLE's are biased estimates. Corresponding values for PMLE method were found 2.28 +/- 1.81, 3.05 +/- 1.59, 3.45 +/- 1.53, and 3.45 +/- 1.53, respectively, meaning that PMLE's was unbiased estimates. It is clear that standard error value for data set I reduced from 257.8 to 1.81 when using PMLE method for separation problem. According to PMLE Method, the odds of being coronary heart disease risk for smokers were increased 21.08 times than that for non-smokers smoking in data set 2, which is significant at 1% level. The odds of being coronary heart disease risk for smokers were increased 31.63 times than that for non-sinokers in data set 3 (P < 0.001). The odds of being coronary heart disease risk for smokers were increased 41.93 times than that for non-smokers in data set 4. When one of the cells in 2 x 2 contingency tables becomes equal to zero, PMLE was more superior to MLE Method because PMLE Method may be perrormed unbiased (reliable) estimation.
Utilization of Profile Analysis in Animal Science
(Medwell online, 2008) Eyduran, Ecevit; Yazgan, Kemal; Ozdemir, Taner
The aim of this study was to examine Profile Analysis by using a sample from Animal Science. Profile Analysis, a multivariate approach to Repeated Analysis is an alternative to MANOVA due to ensuring different information to a researcher such as comparison of levels of treatment, repeated measurement and treatment by time interaction. Besides, PA is an advantageous because it doesn't require spherity assumption in MANOVA. As a result, PA has been widely used in social and psychology fields except from animal science. Because of these reasons, in the future it was suggested and based on our results that PA could be used for studies regarding animal science containing repeated measurement.