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Journal of International Humanitarian Action

Table 1 Effects/association of social capital on/with coping strategies in Kawangware and Kibera slums

From: Social capital undergirds coping strategies: evidence from two informal settlements in Nairobi

Social capital determinants (independent variables)

Use of adaptive coping strategies

Kawangware

Kibera

Coefficientsa (95% CI)

Coefficients (95% CI)

Sex of household head

 Female (reference category)

1

1

 Male

0.141 (− 0.38, 0.66)

0.058 (− 0.28, 0.39)

Household-level dependence

 Low (reference category)

1

1

 High

0.229 (− 0.21, 0.67)

0.67 (0.30, 1.04)***

Number of income earners in the household

 None (reference category)

1

1

 1 person

− 0.311 (− 2.18, 1.55)

− 1.142 (− 3.28, 1.00)

 2+ people

− 0.698 (− 2.61, 1.21)

− 0.71 (− 2.87, 1.44)

Illness in the household

 None (reference category)

1

1

 1–2 people

0.311 (− 0.01, 0.63)

0.679 (0.37, 0.99)***

 3+ people

0.585 (− 0.39, 1.56)

1.38 (0.73, 2.03)***

Interpersonal relationship

 Good (reference category)

1

1

 Poor

0.265 (− 0.07, 0.60)

0.328 (− 0.01, 0.67)*

Primary income earner education

 Not educated (reference category)

1

1

 Primary

0.24 (− 1.46,1.94)

0.849 (− 1.15, 2.85)

 Secondary

− 0.104 (− 1.80, 1.59)

0.526 (− 1.46, 2.51)

 University

− 0.14 (− 1.94, 1.66)

0.08 (− 1.95, 2.11)

Source of income

 Other (reference category)

1

1

 Casual labour

0.097 (− 0.88, 1.07)

0.998 (0.10, 1.89)*

 Business

− 0.227 (− 1.35, 0.89)

0.801 (− 0.21, 1.81)

 Monthly salary

0.028 (− 0.95, 1.00)

0.676 (− 0.24, 1.59)

Number of observations

375

360

Prob > F

0.000

0.000

R-squared

0.1487

0.2558

Adj R-squared

0.1032

0.2142

  1. Source: IDSUE Baseline Survey, 2015
  2. Note: CI (confidence interval in parenthesis); *p-value ≤ 0.05; **p-value ≤ 0.01; ***p-value ≤ 0.001; refreference category (A “reference category” is a response identified as a category of comparison for the other categories. By default, Stata uses the alpha-numerically first category as the reference category, for example “a” with letters, “0” with numbers. For the analysis of this study the reference category was assigned a value of 1 to allow Stata to pick the preferred category as a reference for comparison.)
  3. aCoefficient of correlation is a method that examines the relationship between two variables. It examines three aspects: presences or absence, direction and strength of the relationship. In general, coefficients range from − 1 to + 1. A zero value indicates absence of relationship. The closer the coefficient is to 1 (+1 or − 1), the stronger the correlation and the closer it is to 0 the weaker the correlation. The sign stands for direction, when positive (+) it means that the variables change in the same direction while negative sign (-) means that the variables move in an opposite direction. In summary, very low correlation has a coefficient value under 0.20, low correlation has a coefficient value between 0.21 and 0.40, moderate correlation has a coefficient value between 0.41 and 0.70, high correlation has a coefficient value between 0.71 and 0.91, and very high correlation has a coefficient value over 0.91 (for more details, see Sarantakos 2005 page 377)
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