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Table 3 Results of Multinomial Logistic Regression Predicting Class Membership

From: Typologies of stress appraisal and problem-focused coping: associations with compliance with public health recommendations during the COVID-19 pandemic

 

Latent Class

1

2

3

Low SA/ Low PFC

Low SA/ High PFC

High SA/ High PFC

Prevalence

22.26%

39.52%

38.22%

Unadjusted Odds Ratio

 Agea

Ref

1.046*

1.010

 Genderb

Ref

0.927

0.594**

 Racec

Ref

1.114

1.231

 Employmentd

Ref

1.589*

0.953

 Living with Familye

Ref

1.141

0.741

 Living with Roommatef

Ref

0.865

1.324

 Education – Earned Degreeg

Ref

1.450†

1.374

 Education – Some Schoolingh

Ref

1.053

0.667

 Recruitment Methodi

Ref

1.626

1.689†

Adjusted Odds Ratio

 Age

Ref

1.037

1.016

 Gender

Ref

0.914

0.582*

 Race

Ref

1.062

1.220

 Employment

Ref

1.457†

0.874

 Living with Family

Ref

1.197

0.677

 Living with Roommate

Ref

1.039

1.002

 Education – Earned Degree

Ref

1.441

1.339

 Education – Some Schooling

Ref

1.411

0.788

 Recruitment Method

Ref

2.298*

1.824†

  1. Ref Reference class
  2. aContinuous variable
  3. bWoman = 0, Man = 1
  4. cNon-White (including Latino/Latina/Latinx/Hispanic) = 0, White = 1
  5. dNot employed = 0, employed = 1
  6. eLiving alone = 0, living with family = 1
  7. fLiving alone = 0, living with non-family roommate(s) = 1
  8. gBeing in college = 0, having a postsecondary degree = 1
  9. hBeing in college = 0, having limited or no postsecondary education = 1
  10. iBeing recruited through MTurk = 0, being recruited through snowball method = 1
  11. Assignment to class is based on the most likely latent class membership, using the latent class posterior distribution
  12. †p < .10, *p < .05, **p < .01, ***p < .001