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Table 1 Bivariate relationships in the two sample datasets

From: Simple descriptive missing data indicators in longitudinal studies with attrition, intermittent missing data and a high number of follow-ups

Missing data indicators

Last response

Retention

Dispersion

Median (percentiles 25–75%)

p

Median (percentiles 25–75%)

p

Median (percentiles 25–75%)

p

Norwegian dataset (n = 420)

 Gender

  Men (n = 153)

85 (25–100)

.43

30 (10–75)

.016

65 (18–88)

1.0

  Woman (n = 267)

90 (35–100)

 

50 (20–80)

 

50 (22–89)

 

 Parents’ country of origin

  Both western (n = 368)

95 (35–100)

.015

50 (20–80)

< .001

64 (21–90)

.050

  One or both non-western (n = 52)

53 (20–100)

 

20 (5–44)

 

43 (5–78)

 

 Smoking (n = 419)

  Never/former/sometimes (n = 279)

100 (35–100)

.005

55 (20–83)

.001

67 (22–92)

.017

  Every day (n = 140)

65 (30–100)

 

35 (10–60)

 

50 (19–76)

 

 Self–reported health

  Good/very good (n = 306)

95 (30–100)

.41

40 (15–80)

.84

54 (19–88)

.71

  Not quite good/poor (n = 114)

78 (34–100)

 

45 (20–80)

 

51 (26–88)

 

 Neck and shoulder pain last 4 weeks

  No (0–1) (n = 279)

95 (30–100)

.73

40 (15–80)

.99

58 (19–90)

.92

  Yes (2–12) (n = 141)

80 (35–100

 

50 (18–75)

 

64 (28–85)

 

Dutch dataset (n = 350)

 Gender

  Men (n = 169)

100 (56–100)

.93

56 (33–100)

.25

50 (0–100)

.42

  Woman (n = 267)

100 (56–100)

 

67 (33–100)

 

62 (0–100)

 
 

Spearman correlations

p

Spearman correlations

p

Spearman correlations

p

Biological age

− 0.140

.009

− 0.006

.92

− 0.078

.15

Social desirability

− 0.143

.008

− 0.088

.10

− 0.094

.08

Social inadequacy

− 0.104

.054

− 0.082

.13

− 0.070

.19

Physical fitness

0.174

.001

0.051

.35

0.131

.016