Exam 1

  1. Metainformation

    Tag Value
    fileInferential_Statistics_vufsw-moderation-1358-en_vufsw-moderation-1358-en
    namevufsw-moderation-1358-en
    sectioninferential statistics/regression/multiple linear regression/moderation
    typeschoice
    solutionFALSE, FALSE, FALSE, TRUE
    Typetest choice
    ProgramNA
    LanguageEnglish
    Levelstatistical thinking

    Question

    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).

    Which causal model best represents the hypothesized relationship in the population between the post-measurement quality of life (Post_Qol = Y), “baseline” quality of life (Base_Qol = X1), and whether or not having undergone cosmetic surgery (Surgery = X2)?


    1. FALSE:
    2. FALSE:
    3. FALSE:
    4. TRUE:

    1. False
    2. False
    3. False
    4. True