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Bu araştırmanın amacı, kariyer olgunluğunda cinsiyet farklılıklarını meta analiz yöntemiyle incelemektir. Bu amaç için, 2000-2017 yılları arasında Türkiye’de kariyer olgunluğu konusunda çalışılan lisansüstü tezler ve makaleler incelenmiştir. Tezleri incelemek için Yükseköğretim Kurulu Ulusal Tez Merkezi ve bilimsel makaleleri incelemek için de ULAKBİM Ulusal Veri Tabanı kullanılmıştır. Bu araştırmanın örneklemini cinsiyet değişkenine ve kodlama protokolüne uygun verileri içeren 17 araştırma oluşturmaktadır. Araştırmanın örneklemi 4538 (%49,7) kadın ve 4595 (%50,3) erkek olmak üzere toplam 9133 katılımcı içermektedir. Kariyer olgunluğunun cinsiyete göre etki büyüklüğü, Cohen d olarak bilinen Standardize Ortalamalar Farkı (SOF) analiz yöntemi kullanılarak belirlenmiştir. Yayın yanlılığını belirlemek için Rosenthal’ın FSN Sayısı, Huni Grafiği, Duval-Tweedie’nin Kırp-Doldur Yöntemi ile Egger testi sonuçları incelenmiş ve meta analizde yayın yanlılığı olmadığı görülmüştür. Ayrıca meta analiz sonuçlarının farklı örneklem gruplarına (ortaokul ve lise öğrencileri) göre nasıl değiştiğini belirlemek için alt grup analizi yapılmıştır. Araştırma kapsamındaki çalışmalarda heterojen bir dağılım olduğu bulunmuştur (Q=40.824 p=0.001, I²=60.807). Araştırma sonuçları rastgele etkiler modeline göre kadınlar lehine, anlamlı ve küçük düzeyde (d=0.303, [0,234 0,371], p=0.000) etki büyüklüğü göstermiştir. Ayrıca, alt grup analizi sonuçları cinsiyete göre hesaplanan etki büyüklüğünün okul kademesine göre anlamlı olarak farklılaştığını göstermiştir.
The purpose of this research is to study gender differences in career maturity using the meta-analysis method. For this purpose, graduate theses and articles studied on career maturity in Turkey between 2000-2017 years have been studied. For the study of the theses, the National Thesis Center of the Higher Education Council and the National Database of ULAKBIM were also used to study scientific articles. The sample of this study is composed of 17 studies containing data in accordance with the gender variable and the coding protocol. The study included a total of 9133 participants, including 4538 (49.7 percent) women and 4595 (50.3 percent) men. The size of the influence of career maturity according to gender was determined by using the standardized average difference (SOF) analysis method known as Cohen d. To determine the error of broadcast, Rosenthal's FSN Number, Huni Graphics, Duval-Tweedie's Crop-Fulling Method and Egger test results have been studied and there has been no error of broadcast in meta analysis. Sub-group analysis was also conducted to determine how the meta analysis results varied according to different sampling groups (secondary and high school students). The study found that there was a heterogeneous distribution (Q=40.824 p=0.001, I2=60.807). According to the random effects model, the results of the study showed the size of the effect in a meaningful and small level (d=0.303, [0.234; 0.371], p=0.000) in favour of women. Furthermore, the subgroup analysis results showed that the size of the effect calculated by gender significantly varied according to the school stage.
The aim of this study is to examine gender differences in career maturity by meta-analysis method. For this purpose, graduate theses and articles on career maturity studied in Turkey between the years 2000-2017 were examined. The National Thesis Center of the Council of Higher Education was used to examine the theses and ULAKBİM National Database was used to examine scientific articles. The sample of this study consisted of 17 studies including data on gender variable and coding protocol. The sample of the study consisted of 9133 participants, 4538 (49.7%) female and 4595 (50.3%) male. The effect size of career maturity by gender was determined using the Standardized Mean Difference (SMD) analysis method known as Cohen d. To determine the publication bias, the results of Rosenthal's FSN Number, Duval and Tweedie's Trim and Fill method, Egger test and Funnel Graph were examined and it was seen that there was no publication bias in the meta-analysis. Besides, sub-group analysis was performed to determine how meta-analysis results vary according to different sample groups (high school and secondary school students). A heterogeneous distribution was found in the studies (Q = 40.824 p = 0.001, I² = 60.807). According to the random effects model, the results showed a significant and small effect (d = 0.303, [0,234; 0,371], p = 0,000). In addition, the results of the subgroup analysis showed that the effect size calculated according to gender was significantly different from the school level.
Field : Eğitim Bilimleri
Journal Type : Uluslararası
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