Constructing a Cross Lagged Network Structure Model for School Belongingness,Social Anxiety,and Psychological Symptoms of Flying College Students Based on R Language
Starting from the principle of cross lag,data was collected from 188 male students majoring in flight technology at the Civil Aviation University of China using the school belongingness questionnaire,social anxiety questionnaire,and SCL90 scale,with an 8-month practical training period for flying college students as the time series.The network structure model was constructed using R language with various dimensions of the scale as variables.The results indicate that the model has a good fit and high practical value,and can provide useful model materials for information management of the mental health of flying college students.
school belongingnesssocial anxietypsychological symptomscross lagged network modelR language
NETL
NSTL
万方数据
