Need Help with SPSS--Discovering Statistics using SPSS

timer Asked: May 1st, 2013

Question description

Recent research has shown that lecturers are among the most stressed workers.  A researcher wanted to know exactly what it was about being a lecturer that created this stress and subsequent burnout.  She took 467 lecturers and administered several questionnaires to them that measured:  burnout (burnt out or not), perceived control (high score=low perceived control), coping style (high score=high ability to cope with stress), stress from teaching (high score=teaching creates a lot of stress for the person), stress from research (high score=research creates a lot of stress for the person), and stress from providing pastoral care (high
score=providing pastoral care creates a lot of stress for the person).  The outcome of interest was burnout, and Cooper, Sloan, Williams’ (1988) model of stress indicates that perceived
control and coping style are important predictors of this variable.  The remaining predictors were measured to see the unique contribution of different aspects of a lecturer’s work to their
burnout.  Can you help her out by conducting a logistic regression to see which factors predict burnout?  The data is in Burnout.sav. Include only Burnout as the independent variable and Coping Style and Stress from Teaching as the two dependent variables. Report the odds ratio ONLY.

Complete the logistic multiple regression analysis exercise. Report your findings in APA

A health psychologist interested in research into HIV wanted to know the factors that influenced condom use with a new partner (relationship less than 1 month old). The outcome measure was whether a condom was used (use: condom use=1, not used=0).  The predictor variables were mainly scales from the Condom Attitude Scale (CAS) by Sacco, Levine, Reed, and Thompson (Psychological Assessment: A Journal of Consulting and Clinical Psychology, 1991): Gender (gender of the person); Safety (relationship safety, measured out of 5, indicates the degree to which the person views this relationship as safe from sexually transmitted disease); Sexexp (sexual experience, measured out of 10, indicated the degree to which previous experience influences attitudes towards condom use); Previous (a measure not from the CAS, this variable measures whether or not the couple used a condom in their previous encounter, 1=condom used, 0=not used, 2=no previous encounter with this partner); selfcon (self-control, measured out of 9, indicates the degree of self-control that a person has when it comes to condo use, i.e. do they get carried away with the heat of the moment, or do they exert control?); Perceive (perceived risk, measured out of 6, indicates the degree to which a person feels at risk from
unprotected sex).  Previous research (Sacco, Rickman, Thompson, Levine, and Reed, 1993) has shown that Gender, relationship safety, and perceived risk predict condom use.  Carry out an appropriate analysis to verify these previous findings, and to test whether self-control, previous usage and sexual experience can predict any of the remaining variance in condom use.  (1) Interpret all important parts of the SPSS output.  (2) How reliable is the final model?  (3)  What are the probabilities that participants 12, 53, and 75 will use a condom?  (4) A female who used a condom in her previous encounter with her new partner scores 2 on all variables except perceived risk (for which she scores 6).  Use the model to estimate the probability that she will use a condom in her next encounter.  Date is in the file condom.sav.

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