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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.