| As an important content of fertility research,fertility intention is not only an important indicator to predict fertility behavior,but also an important indicator to adjust fertility level.Existing studies have found that there are certain differences between people’s fertility intentions and fertility behaviors,and people’s fertility intentions tend to be negative.Research evidence shows that there may not be a high degree of consistency between people’s expressed desire to bear children and their actual childbearing behavior.Because the existing survey of fertility intentions used to predict fertility behaviors may not reflect people’s real fertility intentions well,and it cannot predict people’s actual fertility behaviors well.In order to better understand the willingness to bear children of married people with children,and their relationship with childbearing behavior,this study started from the dual attitude model theory of social psychology,using questionnaire survey,one-class implicit association test,in-depth interview and Grounded theory and other methods are used to study the fertility intentions of married people with children,in order to better understand people’s fertility intentions,and to further explore the factors that lead to differences in fertility intentions and behaviors.Study 1 uses quantitative research methods to investigate the implicit and explicit fertility intentions of people who have had children,and to analyze the relationship between implicit and explicit fertility intentions and reproductive behavior.The research selected 92 people who have had children,and used the ideal number of children,the degree of love for children,the intensity of childbearing intentions,and the one-class implicit association test to investigate the explicit and implicit childbearing intentions of the childbearing population.and the number of children to investigate the reproductive behavior of the population with children.The results of correlation analysis found that there was no statistically significant correlation between the D value of the implicit willingness to bear children and the ideal number of children,but there was a significant positive correlation with the degree of love for children and the intensity of willingness to have another child;There is a significant positive correlation,and there is a significant negative correlation between the intensity of rebirth and the number of existing children.The results of regression analysis found that the ideal number of children can positively predict the number of existing children.Study 2 conducted in-depth interviews with 16 people who have had children,with the purpose of comprehensively understanding the important factors that affect their fertility intentions and behaviors,and further exploring and constructing a model of influencing factors for their fertility intentions and behaviors.Through the research of grounded theory,it is found that the external environment,social factors,family factors and personal factors affect people’s fertility intention and behavior;the difference between fertility intention and fertility behavior is the result of the interaction and interaction of various factors,and is also affected by Influence of individual needs and individual cognition.In summary,this study mainly draws the following conclusions:(1)There is a significant positive correlation between explicit fertility intention and implicit fertility intention.(2)There is no significant correlation between implicit fertility intention and fertility behavior,but there is a significant positive correlation between explicit fertility intention and fertility behavior,and explicit fertility intention can positively predict fertility behavior.(3)The external environment,social factors,family factors and personal factors are the main influencing factors of fertility intention and behavior.(4)The difference between fertility intention and fertility behavior is the result of the interaction and interaction of multiple factors,and is also affected by individual needs and cognition. |