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Table 7 Ordinal logistic regression mixed effects models for changes in screening behavior intentions

From: Mixed methods evaluation of implementation and outcomes in a community-based cancer prevention intervention

Screening test Independent variables

Numerator df

Denominator df

F statistic

p value <

Pap test (n = 59)

 Implementation

1

42

0.05

NS

 Age

1

42

0.26

NS

 Race

1

42

0.34

NS

 Education

3

42

0.52

NS

 Health insurance

1

42

0.41

NS

 ACS presentation implementation

1

42

0.94

NS

 Screening history

1

42

1.34

NS

Mammogram (n = 76)

 Implementation

1

61

0.14

NS

 Age

1

61

0.45

NS

 Race

1

61

2.18

NS

 Education

3

61

0.72

NS

 Health insurance

1

61

0.34

NS

 ACS presentation implementation

1

61

0.27

NS

 Screening history

2

61

0.59

NS

FOBT/FIT (n = 49)

 Implementation

1

35

0.00

NS

 Age

1

35

3.20

NS

 Race

2

35

0.45

NS

 Education

3

35

0.44

NS

 Health insurance

1

35

2.37

NS

 ACS presentation implementation

1

35

5.17

0.05

 Screening history

3

35

2.87

NS

Colonoscopy (n = 59)

 Implementation

1

7

0.10

NS

 Age

1

44

0.74

NS

 Race

2

44

2.51

NS

 Education

3

44

1.18

NS

 Health insurance

1

44

0.05

NS

 ACS presentation implementation

1

6

0.14

NS

 Screening history

2

44

2.41

NS

  1. NS p-value not statistically significant (> 0.05)