Linear multiple regression (LMR) is among the most frequently used analyses in counseling research, yet scientific reports often underreport critical details to establish scientific rigor. We will review the importance of statistical power, measurement precision, and model assumptions in relation to LMR. We report the results of a 5-year content analysis of these features across ACA-family journals and provide guidance for testing, assessing, and addressing each to ensure defensible results.
