TY - JOUR T1 - Using MEDYAD Macro to Test the Mediation Effect in Dyadic Data TT - Diyadik Verilerde Aracılık Etkisinin Test Edilmesinde MEDYAD Makrosunun Kullanılması AU - Örs Özdil, Selda PY - 2025 DA - August Y2 - 2025 DO - 10.30964/auebfd.1618770 JF - Ankara University Journal of Faculty of Educational Sciences (JFES) JO - JFES PB - Ankara University WT - DergiPark SN - 1301-3718 SP - 651 EP - 687 VL - 58 IS - 2 LA - en AB - Many variables studied in social and behavioral science researches inherently involve at least two individuals and the concept of dyad is used for these pairs with a certain relationship and connection between them and the concept of dyadic data is used for the data collected from these pairs. Analyzing the data obtained from these individuals (dyadic data) thinking that they are independent of each other may present misleading findings. In addition, complex models need to be established and tested to reveal how the pairs affect each other. Although programs such as LISREL, AMOS, MPLUS, R can be used to test various models established with dyadic data, many of these programs are paid or require researchers to know coding. The purpose of this article is to introduce the MEDYAD macro, which allows testing the mediation model (APIMeM) in distinguishable dyadic data without the need for coding. Within the scope of this study, the mediation model in dyadic data is first briefly explained, then the installation of the macro, preparation of the data file, and data analysis steps are given. Finally, how to interpret the analysis outputs is briefly explained. KW - Mediation in dyadic data KW - APIMeM KW - dyadic data KW - distinguishable dyadic data KW - actor-partner interdependence mediation model KW - MEDYAD N2 - Sosyal ve davranış bilimi araştırmalarında ele alınan birçok değişken doğası gereği en az iki kişiyi içerir ve aralarında belirli bir ilişki, bağlantı bulunan bu ikililer için diyad ve bu ikililerden toplanan veriler için de diyadik veri kavramı kullanılır. Bu bireylerden elde edilen verilerin (diyadik veriler) birbirinden bağımsız olduğunu düşünerek analiz etmek yanıltıcı bulgular sunabilir. Ayrıca ikilinin birbirlerini nasıl etkilediğini ortaya çıkarmak için karmaşık modellerin kurulması ve test edilmesi gerekmektedir. Diyadik verilerle kurulan çeşitli modelleri test etmek için LISREL, AMOS, MPLUS, R gibi programlar kullanılabilse de bu programların birçoğu ücretli veya araştırmacıların kodlama bilmesini gerektirmektedir. 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