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Table 1 Descriptive statistics of and Pearson and Point-biserial correlations between model variables

From: Socio-economic inequities in mental health problems and wellbeing among women working in the apparel and floriculture sectors: testing the mediating role of psychological capital, social support and tangible assets

Variable names

Mean (sd)

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

11.

12.

13.

14.

1. GHQ-12a

1.99 (.41)

1

             

2. Wellbeing

3.45 (.51)

-.273**

1

            

3. Income sufficiencyb (0 = no, 1 = yes)

-

-.231**

.261**

1

           

4. Relative SEP

2.50 (.87)

-.224**

.283**

.328**

1

          

5. PsyCap

3.90 (.40)

-.224**

.390**

.171**

.154**

1

         

6. Personal psychological support network

11.20 (12.96)

.025

.120**

.125**

.183**

-.018

1

        

7. Financial social support network

5.34 (5.47)

-.114**

.259**

.216**

.279**

.124**

.650**

1

       

8. Tangible assets

5.26 (1.74)

-.074**

.168**

.252**

.191**

.085**

.130**

.144**

1

      

9. Age

27.51 (7.93)

.046*

.013

-.020

-.041*

-.057**

-.010

-.083**

-.071**

1

     

10. Freq. Migration

.99 (.65)

.123**

-.064**

-.031

-.119**

-.022

-.033

-.012

.027

-.011

1

    

11. Ability giving financial supportb (0 = no, 1 = yes)

-

-.124**

.141**

.226**

.179**

.050*

.260**

.272**

.073**

-.065**

.043*

1

   

12. Educational level

3.56 (1.96)

-.047*

.033

.044*

-.012

.073**

.045*

.079**

.043*

-.375**

.036

.049*

1

  

13. OECD-ownershipb (0 = no, 1 = yes)

-

-.033

.002

.030

.032

-.012

-.049*

-.035

.061**

.055**

-.024

-.042*

.030

1

 

14. Sector typea,b (0 = apparel, 1 = floriculture)

-

.094

.106**

.114**

.248**

.031

.124**

.171**

-.091**

.194**

-.038

.132**

-.421**

-.040*

1

  1. **P < .01 (2-tailed)
  2. *P < .05 (2-tailed)
  3. aHigher scores indicate worse mental health
  4. bFor dichotomous variables point-biserial correlations are reported