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Table 2 Bivariate correlations among the sociodemographic, early life, and positive change outcome variables (n = 374)

From: Early life predictors of positive change during the coronavirus disease pandemic

Variables:

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

1. Gender

.017

.023

− .041

− .092

− .035

.005

− .068

− .043

− .034

− .111*

.047

.042

.053

.016

2. Race

 

.241***

.200***

.044

− .296***

.247***

− .376***

− .385***

− .364***

− .083

− .111*

− .035

− .099†

− .107*

3. Child SES

  

.526***

.061

− .461***

.581***

− .339***

− .389***

− .337***

− .287***

.035

.079

− .019

.023

4. Adult SES

   

− .013

− .268***

.350***

− .281***

− .372***

− .298***

− .312***

.047

.068

.033

.014

5. Neg family climate

    

.002

.015

.024

.072

.006

.001

− .074

− .091

− .063

− .024

6. NEIGH− low education

     

− .652***

.511***

.628***

.511***

.347***

.109*

.093†

.141**

.028

7. NEIGH− income

      

− .506***

− .581***

− .638***

− .335***

− .022

− .044

− .041

.023

8. NEIGH-unemployment

       

.803***

.729***

.390***

.128*

.085

.164**

.051

9. NEIGH-public assist

        

.763***

.366***

.128*

.068

.119*

.100†

10. NEIGH-poverty

         

.319***

.143**

.114*

.147**

.071

11. NEIGH-subjective

          

.110*

.113*

.100†

.047

12. POS-total

           

.666***

.762***

.810***

13. POS-perspective

            

.322***

.278***

14. POS-social

             

.422***

15. POS-health

              

  1. Gender was coded (0 = male, 1 = female); Race/ethnicity was coded (0 = non-white, 1 = white non-Hispanic); Child SES and Adult SES were coded with higher values reflecting higher SES; Neg family climate was coded with a higher value reflecting higher family dysfunction; NEIGH-low education, NEIGH-unemployment, NEIGH-public asst, NEIGH-poverty, and NEIGH-subjective were coded with higher values reflecting greater neighborhood disadvantage; NEIGH-income was coded with a higher value reflecting greater median family income; POS variables were coded with higher values reflecting a higher number of positive change events