Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-moderation-1359-en_vufsw-moderation-1359-en |
name | vufsw-moderation-1359-en |
section | inferential statistics/regression/multiple linear regression/moderation |
type | schoice |
solution | FALSE, TRUE, FALSE, FALSE |
Type | interpreting output |
Program | NA |
Language | English |
Level | statistical reasoning |
Field describes a study on the growing interest in cosmetic surgical treatments. He collected data on the quality of life among a sample of respondents some of whom some had undergone cosmetic surgery and some were still on the waiting list for it. waiting list for it (variable: surgery: 0 = waiting list, 1 = cosmetic surgery). It measured the quality of life at registration for the cosmetic surgery, the “baseline” quality of life (variable: Base_Qol, scale 0-1, a higher score means higher quality of quality of life) and after a while, after the surgery had taken place for those who underwent the surgery immediately, but also at the same time for the group who were still on the waiting list (variable: Post_Qol, scale 0-100, a higher score means a higher quality of life).
Below are the results of a regression analysis with the post-measurement of quality of life as the dependent variable (Post-QOL), and in which having or not having undergone the cosmetic surgery (Surgery) and the “baseline” quality of life (Base_Qol) in the model are included. Moreover, in model 2, the interaction between ‘surgery’ and ‘baseline’ quality of life were added to the model (Base_Qol_surgery).
What statements can we make about the population?
1: For those still on the waiting list, the effect of ‘baseline’ quality of life on quality of life during the post-measurement is smaller than for those who have undergone cosmetic surgery undergone.
2: The impact of cosmetic surgery on quality of life is less positive (or even negative) the greater the ‘baseline’ quality of life is greater