Table 5 Group characteristics before and after matching: adult 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) | 0.49 | 0.53 | 0.113 | 0.49 | 0.49 | 0.886 |
Age (years) | 28.41 | 31.77 | 0.000 | 28.41 | 28.17 | 0.635 |
Have child(ren) in household (binary) | 0.55 | 0.53 | 0.417 | 0.55 | 0.54 | 0.533 |
Understand French (binary) | 0.83 | 0.65 | 0.000 | 0.84 | 0.79 | 0.009 |
Understand English (binary) | 0.19 | 0.19 | 0.841 | 0.19 | 0.18 | 0.422 |
Education (scale, 0-3) | 1.84 | 1.45 | 0.000 | 1.85 | 1.86 | 0.485 |
Urban/rural (binary, 1 = rural) | 0.40 | 0.62 | 0.000 | 0.40 | 0.41 | 0.662 |
Region (binary, 1 = Adamawa, Far North, Littoral, North) | 0.46 | 0.49 | 0.116 | 0.46 | 0.47 | 0.632 |
Region (binary, 1 = North-west, South-west) | 0.12 | 0.23 | 0.000 | 0.12 | 0.13 | 0.350 |
Watch television daily (binary) | 0.86 | 0.52 | 0.000 | 0.86 | 0.86 | 0.836 |
Own a television (binary) | 0.93 | 0.68 | 0.000 | 0.93 | 0.87 | 0.000 |
Own a radio (binary) | 0.84 | 0.69 | 0.000 | 0.84 | 0.85 | 0.646 |
Own a mobile phone (binary) | 0.89 | 0.76 | 0.000 | 0.89 | 0.86 | 0.051 |
Own luxury goods (scale for number of goods) | 1.87 | 1.03 | 0.000 | 1.87 | 1.83 | 0.738 |
Number of nets per household member (ratio) | 0.73 | 0.67 | 0.002 | 0.73 | 0.66 | 0.001 |