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Table 2 Regression Coefficients from Four Missing Data Methods

From: Principled missing data methods for researchers

  Complete data LD MI FIML EM
(a) Overall missing rate = 20% a
GENDER -0.434*** -0.412*** -0.414*** -0.421*** -0.421***
  (0.082) (0.091) (0.086) (0.087) (0.083)
DROPOUT 1.172*** 1.237*** 1.266*** 1.263*** 1.263***
  (0.125) (0.142) (0.132) (0.132) (0.126)
ESTEEM -0.191*** -0.213*** -0.215*** -0.212*** -0.212***
  (0.041) (0.046) (0.044) (0.044) (0.041)
FAMSTR 0.367*** 0.377*** 0.365*** 0.366*** 0.366***
  (0.087) (0.101) (0.096) (0.092) (0.088)
Actual N 432 349 432 N/A 414
(b) Overall missing rate = 60% b
GENDER -0.434*** -0.39** -0.414*** -0.413*** -0.413***
  (0.082) (0.131) (0.1) (0.104) (0.086)
DROPOUT 1.172*** 1.557*** 1.559*** 1.532*** 1.562***
  (0.125) (0.209) (0.17) (0.158) (0.131)
ESTEEM -0.191*** -0.193** -0.217*** -0.214** -0.215***
  (0.041) (0.065) (0.063) (0.06) (0.043)
FAMSTR 0.367*** 0.479* 0.302* 0.3** 0.3**
  (0.087) (0.192) (0.116) (0.111) (0.091)
Actual N 432 171 432 N/A 367
  1. Note. Standard error estimates in parentheses. MI results were based on 60 imputations. FIML results were obtained with EMORISK as an auxiliary variable in the model.
  2. aThe actual overall missing rate was 19.21%. bThe actual overall missing rate was 60.42%.
  3. * p < .05. ** p < .01. ***p < .001.