Diyadik Verilerde Aracılık Etkisinin Test Edilmesinde MEDYAD Makrosunun Kullanılması

Abstract

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. Bu makalenin amacı kodlama bilmeye gerek kalmadan ayırt edilebilir diyadik verilerde aracılık modelini (APIMeM) test etmeyi sağlayan MEDYAD makrosunu tanıtmaktır. Bu çalışma kapsamında, öncelikle kısaca diyadik verilerde aracılık modeli açıklanmış, ardından makronun kurulumu, veri dosyasının hazırlanması ve veri analiz adımlarına yer verilmiştir. Son olarak analiz çıktılarının nasıl yorumlanacağı kısaca açıklanmıştır.

Keywords

• İkili verilerde aracılık
• APIMeM
• diyadik veri
• ayırt edilebilir ikili veri
• aktör partner karşılıklı bağımlılık aracılık modeli
• MEDYAD

Using MEDYAD Macro to Test the Mediation Effect in Dyadic Data

Abstract

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.

Keywords

• Mediation in dyadic data
• APIMeM
• dyadic data
• distinguishable dyadic data
• actor-partner interdependence mediation model
• MEDYAD

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