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Su‐Young Kim
Author with expertise in Global Trends in Obesity and Overweight Research
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Understanding All Subsets Regression: Focusing on Automatic Linear Modeling in SPSS

Su‐Young KimApr 30, 2024
본 연구에서는 예측을 목적으로 회귀분석을 사용하는 연구자들을 위하여 모든 부분집합 회귀분석(all subsets regression)의 변수 선택 방법이 어떤 특징을 지니고 있는지 탐색한다. 이를 실시할 수 있는 SPSS의 자동선형모델링(automatic linear modeling) 기능을 이용하여 한국아동·청소년패널조사 2018 자료에 적용하고, 사용방법 및 결과해석에 관련된 실용적인 가이드를 연구자들에게 제공하는 것이 목표이다. 변수들의 측정규칙을 지정하고, 예측변수와 종속변수를 설정하는 방법을 설명하였고, 자동선형모델링을 실행할 때 연구자가 결정해야 할 부분을 그림과 함께 이해하기 쉽게 제공하였다. 또한 자동선형모델링 분석의 결과로서 나타나는 주요한 표와 그림을 모두 자세히 설명한다. 예를 들어, 연구의 결과는 어떤 방식으로 요약되는지, 예측변수의 중요성은 무엇을 의미하는지, 스튜던트화 잔차는 어떻게 사용할 수 있는지, 극단치 판별은 어떤 과정을 통해서 이루어지는지 등에 관련된 내용을 제공하였다. 모든 부분집합 회귀분석은 단지 종속변수를 잘 예측하는 예측변수의 조합을 결정한다는 의미를 넘어 종속변수와 모든 예측변수 간 관계의 특성에 대하여 최대한의 정보를 준다는 측면에서 그 중요성이 존재한다.