Home

  1. Introduction
  2. Graphing Distributions
  3. Summarizing Distributions
  4. Describing Bivariate Data
  5. Probability
  6. Research Design
  7. Normal Distribution
  8. Advanced Graphs
  9. Sampling Distributions
  10. Estimation
  11. Logic of Hypothesis Testing
  12. Tests of Means
  13. Power
  14. Regression
  15. Analysis of Variance
  16. Transformations
  17. Chi Square
  18. Distribution Free Tests
  19. Effect Size

  20. Case Studies
    1. Contents
      Standard
    2. Angry Moods
      Standard
    3. Flatulence
      Standard
    4. Physicians Reactions
      Standard  
    5. Teacher Ratings
      Standard
    6. Diet and Health
      Standard
    7. Smiles and Leniency
      Standard
    8. Animal Research
      Standard
    9. ADHD Treatment
      Standard
    10. Weapons and Aggression
      Standard
    11. SAT and College GPA
      Standard
    12. Stereograms
      Standard
    13. Driving
      Standard
    14. Stroop Interference
      Standard
    15. TV Violence
      Standard
    16. Obesity and Bias
      Standard
    17. Shaking and Stirring Martinis
      Standard
    18. Adolescent Lifestyle Choices
      Standard
    19. Chocolate and Body Weight
      Standard
    20. Bedroom TV and Hispanic Children
      Standard
    21. Weight and Sleep Apnea
      Standard
    22. Misusing SEM
      Standard
    23. School Gardens and Vegetable Consumption
      Standard
    24. TV and Hypertension
      Standard
    25. Dietary Supplements
      Standard
    26. Young People and Binge Drinking
      Standard
    27. Sugar Consumption in the US Diet
      Standard
    28. Nutrition Information Sources and Older Adults
      Standard
    29. Mind Set Exercise and the Placebo Effect
      Standard
    30. Predicting Present and Future Affect
      Standard
    31. Exercise and Memory
      Standard
    32. Parental Recognition of Child Obesity
      Standard
    33. Educational Attainment and Racial, Ethnic, and Gender Disparity
      Standard

  21. Calculators
  22. Glossary
  Physicians' Reactions to Patient Size



Research conducted by: Mikki Hebl and Jingping Xu

Case study prepared by: Emily Zitek

Overview
Obese people face discrimination on a daily basis in employment, education, and relationship contexts. Past research has shown that even doctors, who are trained to treat all their patients warmly and have access to literature suggesting uncontrollable and hereditary aspects of obesity, believe obese individuals are undisciplined and suffer from controllability issues. This case study examines how doctors treat overweight as compared to normal weight patients.

Various doctors at one of three major hospitals in the Texas Medical Center of Houston participated in the study. These doctors were sent a packet containing a medical chart similar to the one they view upon seeing a patient. This chart portrayed a patient who was displaying symptoms of a migraine headache but was otherwise healthy. This chart also contained a measure of the patient's weight. Doctors were randomly assigned to receive the chart of a patient who was overweight or the chart of a patient who was of normal weight. After reviewing the chart, the doctors then had to indicate how much time they believed they would spend with the patient.



Questions to Answer
Do doctors discriminate against overweight patients? Specifically, do the doctors who review charts of overweight patients say they would spend the same amount of time with their patients as the doctors who review charts of normal weight patients?

Design Issues
The method and data described here are only a small part of a larger study. See the reference below for a full description of the study.

Descriptions of Variables
Variable Description
Patient weight 1 = average weight, 2 = overweight
Time represents how long the doctors said they would spend with the patient


References

Hebl, M., & Xu, J., "Weighing the care: Physicians' reactions to the size of a patient," International Journal of Obesity, 25 (2001): 1246-1252


Links
Exercises
  1. Create box plots comparing the time expected to be spent with the average-weight and overweight patients.
  2. What is the mean expected time spent for the average- weight patients? What is the mean expected time spent for the overweight patients?
  3. What is the difference in means between the groups? Approximately how many standard deviations do the means differ?
  4. Plot histograms of the time spent with the average-weight and overweight patients.
  5. To which group does the patient with the highest expected time belong?
  6. Perform an independent samples t test comparing the time spent with the average-weight patients as compared to the time spent with the overweight patients. Is this difference statistically significant?
  7. What is the confidence interval on the difference between mean time spent with each group?