research strategies in psychology. descriptive research strategies: the case study
TRANSCRIPT
Research Strategies in Psychology
Descriptive Research Strategies:
The Case Study
Descriptive Research Strategies:
The Case Study
• “Given a thimbleful of [dramatic] facts we rush to make generalizations as large as a tub” - Psychologist Gordon Allport
» Fears after school shootings or kidnappings» The contradictory case: e.g. “My
grandfather smoked until he was 102” » Unreliability of anecdotal evidence
Descriptive Research Strategies:
The Survey• Used in both
descriptive and correlational studies
• Asks people to report on behaviour and opinions.
The Survey:
Wording Effects• Should cigarette ads or pornography be
allowed on television?• People prefer “not allowing” to “forbidding” or
“censoring”• Only 27% of Americans approved of “government
censorship” of media sex and violence, while 66% approved of “more restrictions on what is shown on television”
• People prefer “aid the needy” to “welfare”• EI instead of UI
The Survey:
Sampling• False consensus affect
• A “sample” is a small group selected randomly to represent the larger population
• The larger the sample the more accurately it represents the larger population
- Top of pg26
Descriptive Research Strategies:
Naturalistic Observations• Not just about
chimpanzees in nature.
Correlational Research Strategies:
Correlation• The Correlation coefficient is a statistical measure of
relationship. • Is there a relationship between stress and illness?
• Is there a relationship between test scores and school success?
• Scatter plots: pg 28
Correlational Research Strategies:
Correlation and Causation• Correlation is not causation
• For example:– Low self esteem and depression have a
positive correlation• Low self-esteem could cause depression• Depression could cause low self esteem• Distressing events or biological disposition could
cause both depression and low self esteem.
Correlational Research Strategies:
Illusory Correlation• When we believe there is a relationship between
two things, we are likely to notice and recall instances that confirm our belief.
– Full moon correlations– Getting cold and wet makes one catch a cold– Sugar makes kids hyperactive
Correlational Research Strategies:
Perceiving Order in Random Events
• Shown random data, scientists and psychics alike can often “see” an interesting pattern.
• If I flip a coin 9 times and ‘heads’ comes up each time, is it more likely that the tenth time will be ‘tails’?
• When no ones wins a given lottery draw, the prize of the subsequent draw increases and more people buy tickets. How does this affect the chances of a single ticket winning?
• Do professional athletes go on “streaks” or develop “hot hands” – pg 32
Experimental Research Strategies:
• Experiments enable a researcher to focus on the possible effects of one or more factors by:
1. Manipulating the factors of interest
2. Holding constant (“controlling”) other factors
• E.g. There is a strong positive correlation between breast feeding and later intelligence. Is the later intelligence caused by breast feeding? Pg 33
Experimental Research Strategies:
Evaluating Therapies• If we get better 3 days after taking a
certain pill we tend to think that pill is the reason we got better.
• 1700’s bloodletting seemed to be very effective.
• To find if something is actually effective we need to experiment
Experimental Research Strategies:
Evaluating Therapies• The Placebo Effect …fake pills often
work because people believe they do.• Double-blind procedure creates an
experimental condition in which people receive the treatment and a contrasting control condition without the treatment. By randomly assigning people to these conditions the two groups should otherwise be identical.
Experimental Research Strategies:
Evaluating Therapies• The independent variable: the experimental
factor that is manipulated; the variable whose effects are being studied
• The dependent variable: the variable that may change in response to manipulations of the independent variable (e.g. behaviour or mental process)
• “Experiments aim to manipulate an independent variable, measure the dependent variable, and control all other variables” –pg35
• Can Subliminal Tapes Improve Your Life? –pg 35
Statistical Reasoning:
• Bombarded by numbers
• Harper’s Index
Statistical Reasoning:
Measures of Central Tendency• Mode – the most frequently occuring
score in distribution
• Mean – the average
• Median – the middle score in a distribution; half the scores above and half are below it.
Statistical Reasoning:
Measures of Variation• Averages based on scores with low
variability are more reliable than averages based on scores with high variability
• Range: the difference between the highest and lowest scores in a distribution
• Standard Deviation: a computed measure of how much scores vary around the mean score
Statistical Reasoning:
Making Inferences• When is an observed difference
reliable?1. Representative samples are better than
biased samples
2. Less-variable observations are more reliable than those that are more variable.
3. More cases are better than fewer
Statistical Reasoning:
Making Inferences
• When is a difference significant?– Statistical significance: a statistical
statement of how likely it is that an obtained result occurred by chance.
– Occurs when the sample averages are reliable and the difference between them is relatively large.