6. Findings and interpretations

5.1. Method of data collection

122 Corn - Production and Human Health in Changing Climate

5.2. GIS technique

5.3. Data analysis

5.4. Model specification

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

the mean response thus:

3. Equation for multiple linear regressions

standard error, X = independent variable, p ≥ 2.

2. Mean estimation

Explicit.

statistic was also applied to the study.

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

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

<sup>3</sup> = 2.0

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

Primary data were collected with well validated open and close ended questionnaire by the

The aim of the GIS technology applied in this present study is provide maps of climate variability, degree of climate change adaptation and level of acceptability among the samples sites. The input data were from outcome of the questionnaire approach and GPS coordinates.

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

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

where β<sup>0</sup> = the intercept, β<sup>1</sup> = slope (regression coefficient), Y<sup>0</sup> = dependent variable, ei =

Y<sup>0</sup> ¼ β<sup>0</sup> þ β<sup>1</sup> X1<sup>i</sup> þ β<sup>2</sup> X2<sup>i</sup> þ … þ β<sup>p</sup> Xpi þ ei (1)

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

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).

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

researcher. Questionnaire construction was based on the objectives of this study.
