Research Article

Determinants of the Use of Hermetic Storage Bags for Maize Storage among Smallholder Farmers in Northwest Ethiopia

Table 6

The maximum likelihood estimates of the binary logistic regression model.

VariablesBS.E.WaldSig.Exp. (B)95% C.I. for Exp. (B)
LowerUpper

Sex2.4390.9137.1340.0080.0870.0150.522
Age−0.0680.0581.3830.240.9350.8351.046
Education level1.5950.47911.1090.0014.9281.92912.59
Farm exp0.0180.060.0870.7691.0180.9041.146
Social responsibility2.2960.56116.7450.0009.9313.30729.822
Land size−0.3110.3340.8650.3520.7330.3811.41
Total income0.0150.0264.5480.0331.0150.8071.138
Credit access0.6440.5331.4620.2271.9040.6715.407
Extension contact0.4630.4091.280.2580.6290.2821.403
PICS training2.6290.72913.0140.00013.8543.32257.784
Chemical effect1.2360.4587.2910.0073.4411.4038.44
Awareness PICS3.3070.80516.8820.00027.3085.638132.259
PICS access3.1310.72618.6030.00022.8875.51894.931
PICS price−2.0540.8226.240.0127.7961.55639.049
Maize stored0.0130.0230.3250.5691.0130.9681.06
Constant−3.7061.9393.6530.050.025

Pearson chi-square: 395.812, −2 log likelihood: 142.029, overall prediction of the model 1: 94.85, sensitivity 2: 95.8, specificity 3: 93.9, sample size: 392 households, and indicate significance at 1% and 5% level respectively. 1: the success of prediction of the model based on a 50% probability classification table. 2: correctly predicted households that use PICS bags on a 50% probability classification. 3: correctly predicted households that did not use PICS bags based on 0.5 cut point probability table, source: binary logit model output.