5.3. Data analysis

Descriptive statistics such as mean, frequency distribution and percentage were made to visualize and analyze the distribution of field data using box plots. Ordinal regression model statistic was also applied to the study.

#### 5.4. Model specification

1. To get the mean score using three-point Likert scale

High extent = 3, Moderate extent = 2, Low extent =1.

Strongly aware = 3, Aware = 2, Not aware = 1.

Mean score = <sup>3</sup> <sup>þ</sup> <sup>2</sup> <sup>þ</sup> <sup>1</sup> <sup>3</sup> = 2.0

2. Mean estimation

Each of the total responses from all the respondents is calculated to get their individual mean response. The code of each of the responses is multiplied, and thereafter added to get the mean response thus:

For high extent (3), assuming total response to be 90: (90/128)\*3 = 2.109.

For moderate extent (2), assuming total response to be 22: (22/128)\*2 = 0.344.

For low extent (1), assuming total response to be 16: (16/128)\*1 = 0.125.

Total mean score = 2.578 (thus, decision rule for this is high extent).

3. Equation for multiple linear regressions

$$Y\_0 = \beta\_0 + \beta\_1 \, X\_{1i} + \beta\_2 \, X\_{2i} + \dots + \beta\_p \, X\_{pi} + e\_i \tag{1}$$

Explicit.

where β<sup>0</sup> = the intercept, β<sup>1</sup> = slope (regression coefficient), Y<sup>0</sup> = dependent variable, ei = standard error, X = independent variable, p ≥ 2.

Where X1 = age (years), X2 = sex, X3 = house hold size (No), X4 = educational level (no of years), X5 = farming years (No), X6 = farming size (No), X7 = labor source (Manday), X8 = membership organization (No), X9 = average income ( ₦ ), X10 = average yield (kg).
