Table 6 Group characteristics before and after matching: children’s net use
From: Impact of a mass media campaign on bed net use in Cameroon
Without matching | After matching | |||||
|---|---|---|---|---|---|---|
Exposed | Not exposed | p > |t| | Matched treated | Matched control | p > |t| | |
Gender (binary, 1 = female) | 0.64 | 0.65 | 0.689 | 0.65 | 0.72 | 0.049 |
Age (years) | 29.66 | 32.13 | 0.001 | 29.69 | 29.51 | 0.796 |
Understand French (binary) | 0.85 | 0.65 | 0.000 | 0.85 | 0.85 | 0.830 |
Understand English (binary) | 0.15 | 0.18 | 0.355 | 0.15 | 0.19 | 0.190 |
Education (scale, 0-3) | 1.82 | 1.36 | 0.000 | 1.82 | 1.82 | 0.926 |
Urban/rural (binary, 1 = rural) | 0.43 | 0.66 | 0.000 | 0.43 | 0.47 | 0.399 |
Region (binary, 1 = Adamawa, Far North, Littoral, North) | 0.48 | 0.52 | 0.237 | 0.48 | 0.57 | 0.027 |
Region (binary, 1 = North-west, South-west) | 0.11 | 0.25 | 0.000 | 0.12 | 0.10 | 0.541 |
Watch television daily (binary) | 0.87 | 0.49 | 0.000 | 0.87 | 0.84 | 0.387 |
Own a television (binary) | 0.94 | 0.66 | 0.000 | 0.94 | 0.91 | 0.157 |
Own a radio (binary) | 0.82 | 0.67 | 0.000 | 0.82 | 0.86 | 0.143 |
Own a mobile phone (binary) | 0.90 | 0.75 | 0.000 | 0.90 | 0.85 | 0.040 |
Own luxury goods (scale for number of goods) | 1.79 | 0.98 | 0.000 | 1.63 | 1.90 | 0.049 |
Number of nets per household member (ratio) | 0.64 | 0.58 | 0.005 | 0.63 | 0.62 | 0.654 |