Research Article

Research on the Evaluation Model of Rural Information Demand Based on Big Data

Table 6

Quantitative design of qualitative variables and its implications.

VariableVariable nameVariable valueThe meaning of variable value

X14Age{1, 2, 3, 4, 5}1 = 18 years old and below, 2 = 19 to 28 years old, 3 = 29-38 years old, 4 = 39 to 48 years old, and 5 = 49 years old and above
X15Sex{1, 2}1 = male and 2 = female
X18Educational level{1, 2, 3, 4, 5}1 = primary school and below, 2 = junior high school, 3 = high school or technical secondary school, 4 = specialist, and 5 = undergraduate and above
X20Personal income{1, 2, 3, 4, 5}1 = 1000 and below, 2 = 1000-3000, 3 = 3000-5000, 4 = 5000-7000, and 5 = 7000 above
X22Number of family members{1, 2, 3, 4, 5}, , , , and and above
X16Marital status{1, 2, 3, 4}1 = unmarried, 2 = married, 3 = divorced, and 4 = widow
X35Knowledge of information{1, 2, 3, 4, 5}1 = conflict, 2 = is unwilling, 3 = is general, 4 = is willing, and 5 = is very willing
X36Awareness of information acceptance{1, 2, 3, 4, 5}1 = is very confused, 2 = does not understand, 3 = is general, 4 = understands, and 5 = knows very well
X37The ability to receive information{1, 2, 3, 4, 5}1 = is very bad, 2 = is bad, 3 = is general, 4 = is strong, and 5 = is very strong

The original data are standardized according to different data types.