9.8.15 Health notes
9.8.15 Health notes PSY 382 - M001
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This 6 page Class Notes was uploaded by Alexis Hanford on Friday September 11, 2015. The Class Notes belongs to PSY 382 - M001 at Syracuse University taught by L. Gellis in Fall 2015. Since its upload, it has received 31 views. For similar materials see Health Psychology in Psychlogy at Syracuse University.
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Date Created: 09/11/15
98 15 9 10 15 Tuesday September 8 2015 1100 AM Goals Research within health psychology Prospective and Crosssectional and experimental design Questions and Exercises review from research methods class Epidemiological research Why would we want to know this information Why would knowing the frequency and causes of diseases be helpful A It would help prevent the diseases all together or help make clinics for specific areas where diseases are high risk CrossSectional Design Ex Surveys Interviews collecting of public records we gain this information through the prevalence Ex HSD Prevalence34 HSD 3x more likely to have insomnia than College Graduates Crosssectional Design is a type of correlational research which studies the relationship between 2 or more variables ex what happens to a variable if another l ria Envycacao Val ICIIJIC II ILI CGDCD What is the highest correlation that 2 variables can have A 1 What is the lowest correlation that 2 variables can have A 1 What we look at while doing research by correlation The relationship between 2 or more variables Direction and strength of association Whether the correlation is Positive or Negative The Range from 1 to 1 The correlation is Expressed as r 067 What does each individual point on a scatterplot signify A Each individual studied What do clustered dots moving upward on a scatterplot mean A That the variables are related What is the importance of the line on a scatterplot A It is called the line of best fit and it captures the average along the slope A correlation of 1 means that you could perfectly predict one variable through the correlation of another variable The higher the correlation the less scatter you will have along the line of best fit Limitations of research by correlation Correlation vs Causation Dual or Reverse Causation Problem Third Variable Problem Just because two variables go together does not mean you can cause a change of a particular variable Prospective Design ex complete surveys at time one then complete surveys a year later You can observe changes over time and examine what behaviors now predict events in the future We CAN eliminate dual or reverse causality problem Which of the following correlations between height and blood pressure would enable you to most accurately predict a persons blood pressure from his or her height 81 67 1 0 What is true about prospective designs 91015 Experimental Design Experiments Independent variable lVManipulated variable to see its effect on the Dependent variable DV outcome of interest Ex the effect of a TV ad IV on rates of childhood obesity DV Experimental design within group Aifhin cuhiprfc Prp Pncfl mmprimpnf 39Ibl IIII UVIMJVVBU I I I VUBI vl PI vl IIII Iln Evaluate changes before and after manipulation of the IV in the same group of people The weakest experimental design Limitations and the within group approach What else could have caused the change in our DV A Placebo Effect Effect of time Both Groups are subject to the effect of time and the placebo effect We are interested in the difference between the groups on dependent variable Potential issues A Group differences on client characteristics Placebo Effect Corrections of limitations Random assignment Double blind experiment Active control group blind or comparison group True experiment manipulation of the IV and random assignment to at least 2 groups Advantage can attribute causality between 2 variables Disadvantages expensive some variables cannot be manipulated Determining Causal relationships without true experiments 1 findings must be consistent and correlations strong 2 cause must precede the disease how is this known 3 relationship must make sense causeeffect relationship must be plausible 4 a dose response relationship the higher the dose the higher the rates Examples Does a high consumption of trans fat lead to heart disease Follow 500 people without previous heart disease and measure the type and frequency of food intake during a 6 month period every month participants will come to the lab and complete health measures What type of study is this A Prospective What is a disadvantage of this design A3rd variable effect What is an advantage A Ethical low cost Healthy participants are confined to a hospital for 6 months with each participants are forced to maintain similar lifestyle behaviors except for one participants are randomly assigned to eat With chipotle McDonalds or a low fat vegan diet every day for 6 months health measures on heart disease and trans fat accumulation are take before and after the 6 months What is the independent variable A Types of food What is the dependent variable A Heart disease What is an advantage A You are able to control every aspect What is a disadvantage A The amount of participants 500 participants take surveys and the same time the surveys involve self report ratings of health status including important heart disease measures and food intake measure You conduct correlations between the extent of high fat content foods and reports of heart disease
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