# Study on the Influence of Consumers' Purchase Intention of Selenium-Rich Agricultural Products
## 5 Results  
A total of 220 questionnaires were distributed and 209 were returned. Discounting invalid questionnaires that consumers missed or had obvious problems, there were 186 valid questionnaires, with an effective sample rate of 88.99%. This basically conforms to sample size selection criteria for a social survey, so the survey results of the questionnaire are also valid. (1) Gender. From the perspective of gender distribution, there were 90 males in 186 valid samples, accounting for 48.39% of valid samples, and 96 females, accounting for 51.11% of valid samples, of which the proportion of females was basically the same. Generally, we think that in family life, women usually take main role in food purchasing, so women are also the majority of consumers purchasing selenium-rich agricultural products. However, according to a previous analysis of this paper, the impact of gender on consumers' willingness to purchase selenium-rich agricultural products is uncertain, so we did not deliberately choose women for the survey sample as some surveys did, and the gender ratio is quite meaningful. (2) Age distribution. In survey results, the range of the age distribution was large, ranging from 20 years old to over 60 years old. In the questionnaire design, respondents were divided into four age groups, including 1 person under 20 years old, accounting for 0.5% of the valid sample, 112 people between 20 and 40 years old, accounting for 60.22% of the valid sample, 70 people between 40 and 60 years old, accounting for 37.63% of the valid sample, and 3 people over 60 years old, accounting for 1.61% of the valid sample. Among them, the number of people under 20 and over 60 years old was small, and consumers under 20 years old are not mainly responsible for purchasing agricultural products in their families, so they should be avoided as much as possible in investigating the sample selection process. Due to the limitation of education level and vision, the elderly over 60 years old had difficulty in understanding the contents of the questionnaire, which investigators were required to explain item by item during the survey, which was very time-consuming and energy-consuming, so they represent a small proportion in the sample selection. (3) Education level. From perspective of education level, distribution of educational background was relatively concentrated. There were only 17 people with junior high school education or below, accounting for 9.14% of the valid sample. There were 40 people with senior high school education or technical secondary school education, accounting for 21.51% of the valid sample. There were 95 people with university education or college education, accounting for 51.1% of the valid sample. There were 34 people with a master's degree or above, accounting for 18.28% of the valid sample. On the whole, most of respondents had a high educational background, with 70.4% of respondents having a college degree or above and 29.6% of respondents having a high school education or below. (4) Marital status. In terms of marital status, the number of unmarried people was 54, accounting for 29.03% of the valid sample, and the number of married people was 132, accounting for 70.97% of the valid sample. Among them, the number of married people was significantly higher than unmarried people, because they tended to be over 20 years old in age distribution, and married people account for majority of these people. When married people assume responsibility for purchasing in the family, they will consider the health and nutrition needs of their families, which is consistent with fact. (5) Occupation.