Attribute | Attribute level | β | SE |
ASC | ASC | Ref. (0) | |
ASC µ | 0.127 | 0.215 | |
ASC σ | −0.076 | 0.239 | |
Recognition | Recognition at community level | Ref. (0) | |
Recognition at facility µ | −0.149 | 0.202 | |
Recognition at facility σ | 1.675** | 0.296 | |
Award mechanism for best performing CHV µ | −0.781** | 0.216 | |
Award mechanism for best performing CHV σ | 1.696** | 0.267 | |
Transport | Bicycles for CHV | Ref. (0) | |
Motorcycle for CHV/CU µ | −2.618** | 0.331 | |
Motorcycle for CHV/CU σ | 2.334** | 0.347 | |
Motorcycle for CHEW and bicycle for CHV µ | 0.395 | 0.348 | |
Motorcycle for CHEW and bicycle for CHV σ | 0.817** | 0.311 | |
Tools of trade | Supplies and commodities+non-pharmaceutical+job aids/IEC materials | Ref. (0) | |
Supplies and commodities+non-pharmaceutical+job aids/IEC materials+identification µ | 1.536** | 0.216 | |
Supplies and commodities+non-pharmaceutical+job aids/IEC materials+identification σ | −0.653* | 0.323 | |
Supplies and commodities+non-pharmaceutical+job aids/IEC materials+identification+safety gears µ | 2.525** | 0.306 | |
Supplies and commodities+non-pharmaceutical+job aids/IEC materials+identification+safety gears σ | 1.206** | 0.271 | |
IGA | KES 100 000 | Ref. (0) | |
KES 150 000 µ | −0.592 | 0.587 | |
KES 150 000 σ | 0.090 | 0.322 | |
Monthly stipend (thousands of KES) | Monthly stipend µ | 1.182** | 0.290 |
Monthly stipend σ | 0.561** | 0.109 | |
Monthly stipend ##women | Monthly stipend ##women µ | −0.214 | 0.121 |
Monthly stipend ##women σ | 0.212* | 0.086 | |
Monthly stipend ##age | Monthly stipend ##age µ | −0.011* | 0.005 |
Monthly stipend ##age σ | 0.006* | 0.003 | |
IGA ##women | IGA (KES 150,000) ##women µ | 0.133 | 0.224 |
IGA (KES 150,000) ##women σ | −0.085 | 0.154 | |
IGA ##age | IGA (KES 150,000) ##age µ | 0.009 | 0.012 |
IGA (KES 150,000) ##age σ | 0.001 | 0.018 | |
Decision makers | 211 | ||
Observations | 5064 | ||
Log likelihood | −1081.439 | ||
McFadden’s R2 | 0.107 | ||
Akaike’s information criterion | 2214.877 | ||
Bayesian information criterion | 2384.655 |
## denotes interactions, age is in years, monthly stipend is in thousands of KES. All attributes were random and normally distributed except monthly stipend and its interactions with gender and with age which were restricted to a lognormal distribution. Statistical significance: **at 0.01 level, *at 0.05 level. β is the coefficient, SE is the robust SE, µ is the mean, σ is the SD and ASC is alternative specific constant for alternative. All models used 1000 Halton draws.
ASC, alternative specific constant; CHEW, community health extension worker; CHV, community health volunteer; CU, community unit; IEC, information, education and communication; IGA, income-generating activities.