KARMAŞIK FTMM ALANLARINA İLGİLERİN ÖNCÜL DEĞİŞKENLER VE MESLEKİ UYUM ÖLÇÜTLERİ ARASINDA ARACI ROLÜ

Kişi ve meslek arasındaki uyuşma geleneksel olarak Holland'ın mesleki kişilik kuramı çerçevesinde çalışılmış, ancak bu bağlamda geliştirilen ölçeklerle ölçütlerde açıklanan varyans kısıtlı kalmıştır. Fen bilimleri, Teknoloji, Mühendislik ve Matematik (FTMM) alanlarında mesleki ilgi envanterlerinin iyileştirilmesi için ilgili mesleklerin karmaşıklık (zorluk) düzeylerinin de dahil edildiği "FTMM Meslek Alanlarında Karmaşıklık Düzeyine İlgi" envanteri geliştirilmiş (Toker ve Ackerman 524) ve ölçütlerde daha çok varyans açıkladığı bulunmuştur. Bu çalışmanın amacı, yapısal eşitlik modellemesi kullanarak, karmaşık FTMM alanlarına ilgilerin öncül değişkenler ve mesleki uyum ve başarı ölçütleri arasındaki aracı değişken rolünü test etmektir. Üniversitede bir FTMM alanında okuyan 122 öğrenci üzerinde test edilen modelin veriye uyduğu bulunmuştur. Sayısal yetenek, matematik-fen benlik algısı ve tipik entelektüel eğilim karmaşık FTMM alanlarına ilgileri yordamaktadır. FTMM ilgileri akademik alandan doyumu, karmaşık bir FTMM mesleği seçme niyetini ve FTMM not ortalamasını yordamaktadır. Sayısal yetenek de not ortalamasını doğrudan yordamaktadır. Bu model erkek örneklemi verisine de uymakta, ancak kadın örnekleminde matematik-fen benlik algısının akademik alandan duyulan doyum üzerindeki rolü ön plana çıkmaktadır. Araştırmanın bulguları, karmaşıklık düzeyi dahil edilmiş olan bir ölçümün mesleki ölçütleri açıklarken oynadığı aracı role dikkat çekmektedir

THE MEDIATING ROLE OF INTERESTS TOWARDS COMPLEX STEM AREAS BETWEEN ANTECEDANTS AND VOCATIONAL FIT CRITERIA

Person-occupation t has traditionally been studied within Holland's six occupational interest types framework; however the variance explained in t criteria with assessments derived from this framework has remained limited. In order to improve assessments in the elds of Science, Technology, Engineering, and Mathematics (STEM), a new scale named STEM Interest Complexity was developed by integrating occupational complexity levels (Toker and Ackerman 524). This scale proved useful by explaining more variance in criteria. The aim of the present investigation was to test the mediating role of STEM interest complexity between antecedents and vocational t criteria, by means of structural equation modeling. The model, which was tested on 122 university students enrolled in STEM majors, revealed good t to the data. Quantitative abilities, math-science selfconcept, and typical intellectual engagement predicted STEM interests. STEM interests predicted academic domain satisfaction, intentions to work in a highly-complex STEM occupation, and STEM grade point average. Quantitative abilities also directly predicted STEM grades. The model also t the data of men; however the predictive role of mathscience self-concept on academic domain satisfaction came forth in the sample of women. Study ndings highlight the mediating role of an interest measure that includes assessing interests towards complex STEM tasks

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