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Table 4 Predictors of the certainty of the future and sustainability of VSLAs during Covid-19 using by Binary Logistic Regression Model

From: An investigation of the Sustainability of Village Savings and Loans Associations (VSLAs) amidst Covid-19 and its impact on household income levels: lessons from Malawi, Sub-Saharan Africa

Variables

β

OR

95% C. I

Gender of the respondent (1)

0.437(0.094)*

1.548

[0.928;2.582]

Age group (1)

1.317(0.000)***

3.732

[2.316;6.012]

Occupation (1)

-0.453(0.106)*

0.636

[0.367;1.101]

Education Level (1)

2.181(0.047)**

8.852

[1.033;75.888]

Are you head of the house (1)

-0.002(0.994)

0.998

[0.6;1.658]

Number of people in the house (1)

-0.174(0.481)

0.84

[0.518;1.363]

Shares contribution not on Time

1.035(0.008)***

0.355

[0.166;0.759]

Frequency of loans obtaining increasing

-0.507(0.049)***

0.602

[0.364;0.998]

Loan Repayment not on time

-0.368(0.372)

0.692

[0.309;1.553]

Meetings

0.572(0.021)***

1.773

[1.09;2.881]

Constant

-1.506(0.211)

0.222

 

Model Predicted Success

68.10%

Log-likelihood ratio

465.102

Hosmer and Lemeshow Test

(df = 8) significance test result 8.469 (P-value = 0.389)

Omnibus Tests of Model Coefficients

(df = 10) significance test result 87.387 (P-value = 0.000***)

Cox and Snell R2

0.196***

Negelkerke R2

0.262***

Sample Number (n)

420

  1. Source; Authors 2021
  2. Abbreviation: OR Odds Ratios
  3. (1): Reference Category using/based on Table 2 coding specifications
  4. *Significance at 10%
  5. **Significance at 5%
  6. ***Significance at 1%