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Table 2 Bivariate analyses of dichotomous variables

From: Analyzing the impact of an MDG-Fund program on childhood malnutrition in Timor-Leste

Height-for-Age Z scores (HAZ)

Diff. means

P

Lower mean Z-score if:

Child received supplementary food

0.385

 < 0.0001

Yes

Measured in hungry season

− 0.273

 < 0.0001

No

Sex

− 0.210

 < 0.0001

Males

Bicycle or motor vehicle

− 0.240

 < 0.0001

No

Mother’s smoking status

0.286

0.0014

Yes

Respondent currently working

− 2.055

0.0242

No

Access to news media

− 0.110

0.0246

No

Owns livestock, herds or farm animals

0.238

0.0267

Yes

Sanitation facilities

− 0.107

0.0271

Non-improved

Source of drinking water

0.109

0.0309

Improved

Owns a bank account

0.217

0.0317

Yes

Weight-for-age Z scores (WAZ)

   

Child received supplementary food

0.270

 < 0.0001

Yes

Respondent currently working

0.199

 < 0.0001

Yes

Type of place of residence

0.167

 < 0.0001

Rural

Bicycle or motor vehicle

− 0.180

 < 0.0001

No

Contraception use of mother

0.207

 < 0.0001

Yes

Sex

− 0.087

0.0049

Males

Access to news media

− 0.071

0.023

No

Sanitation facilities

− 0.067

0.0285

Non-improved

Weight-for-height Z scores (WHZ)

   

Respondent currently working

− 1.101

 < 0.0001

Yes

Measured in hungry season

0.185

 < 0.0001

Yes

Type of place of residence

0.157

0.0006

Rural

Contraception use of mother

0.151

0.0004

Yes

Child received supplementary food

0.081

0.042

Yes

Cow or bull owned

− 0.090

0.0357

No

  1. Results from independent samples t tests using data from 2009–2010, indicating differences between population means (Diff. means) for HAZ-, WAZ-, and WHZ-scores for dichotomous variables, sorted by p-value (lowest) and t-value (highest)