Unit 2 Research Methods
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Transcript Unit 2 Research Methods
Unit 2
Research
Methods
AP Psychology
The need for psychological science
Intuition and common sense – not in psychology!!!
Hindsight bias – widespread “I knew it all along”; should’ve seen it coming
Overconfidence – leads us to overestimate our intuition
Perceiving order in random events – we want to see correlations
The Scientific Attitude & Critical thinking
Curiosity, humility & skepticism prepares us to think smarter
Generalizability – to what degree the results of a study can be applied to different
types of populations
Critical thinking – smart thinking
The Scientific Method
Hypothesis – (in psychology) a statement of relationships between or among variables.
Psychologists generate statements after researching what other scientists have learned
and observing variables in the environment.
Then test it!
Theories – generally highly researched, rigorously tested, framework that organize multiple
studies under one umbrella of ideas; they are tested, not just questions
Operational Definitions & Replication
Needs to be measurable and manageable
Most important part of study; it defines what
researchers will be observing & manipulating
Experiments are more likely to be replicated
effectively with clear operational definitions used
The more a study is replicated, the more the
findings can be applied to the general public.
Generalizability of studies helps make them
applicable to real world.
Description – case study & naturalistic observation
Case study – one of oldest methods – Freud (Anna O.), Jung, Watson &
Rayner (Baby Albert)
Naturalistic observation & case studies – describing behavior, not explaining
it – anthropology, sociology, zoology
Description - survey
Random sampling usually generates representative sampling
*Choosing participants
random from larger
population
*Taking a randomly chosen at
sample & assigning
participants at random to
*Chosen for many types
either experimental
of research including
control group
surveys, interviews,
*only applies to
experiments
experiments
or
**Best basis for generalizing is from a representative sample of cases
***Representative samples represent the population
****percent of male & female participants should match between sample
and population as well as racial/ethnic identity
*****Always be critical of survey findings!!!*****
Correlation
Scatterplots – plots are never perfect (scattered)
How closely two things are related to one another
Positive or Direct correlations – as one increases or decreases, so
does the other
Negative or Inverse correlations – as one increases, the other
decreases
Correlation coefficient - number represents strength of correlation;
sign represents direction of correlation; -.70 is stronger than .65
Correlation does not mean Causation; tells you that they are related,
not why they are related
Correlation indicates possibility of cause-effect relations but does not
prove causation
Illusory correlations are often influenced by confirmation bias; we
may notice random coincidences but forget they are random & instead
see them as correlated
Caution: media reports of experiments: are experiments actually
experiments or correlations?
Experimentation
2 main ways to group participants in a study:
1. within subject design – comparing participants to themselves (pretest v. post-test)
Less efficient but more resistant to effects of individual differences
2. between subjects design – comparing one group of participants to
another (most common set up)
Only one group (experimental group) sees independent variable
More efficient b/c you can conduct research in one sitting
*Only type of study that can determine cause & effect is experimental
*Do not assign causal conclusions for experiments only
Experimentation
Random Assignment - often need 2 sample groups – can determine if its one factor
or another
Placebo Effect – health benefit from treatment by trusted source; can be used with
any treatment not just drugs; treatment can help even if not finished
Variables
Independent variable
Dependent variable
Manipulated variables
What is measured
Its what researchers change
The expected
make dependent variable
outcome
occur
Look for this 2nd
Look for this 1st
What will cause DV
this study?
What are they
Looking for?
to
in
Confounding variables – other factors that can possibly
affect outcome of experiment
-controlling for confounding variables is goal of
experimental method
-more controlled the environment, more likely you
can tell if IV caused DV
Variables
Reliability – consistency; retesting; e.g. SAT
Validity – measure what’s supposed to measure versus outside norms e.g.
SAT/PSSA/AP/school grades
Statistical Reasoning in Everyday Life
Types of Data:
Nominal Data – data that indentifies categories
Interval Data – data falls within a number line & has a zero point
e.g. gender, class level in school, yes/no survey answers
e.g. weight, height (no weight=0)
Ratio Data – data falls in number line where zero is just another
number on the line
e.g. 0 degrees/test scores
Measures of Central Tendency – mean, median, mode
Measures of Central Tendency
Single score that represents whole set of scores
Simplest yet most often confused type of basic statistics
Central tendency refers to how the data measure the center of a
set of data
Mean, median and mode all point to where middle of data should
be
If mean, median, mode are all same #, graph of data will look like
normal curve
If mean, median mode are different, graph will be skewed or off
center in some way
Mean most susceptible to extremes in data – gets pulled up or
down depending on extreme data points
Positive and Negative Skew
Positive Skew – when scores pull mean
towards higher end; the mean is more
“positive” or greater than the rest of the
scores
Negative Skew – the opposite; the mean
is pulled down towards lower end of
scores
Standard Deviation
Can tell how much scores deviate from
one another
Knowing standard deviation for a set of
data can reveal how similar scores are –
the higher the standard deviation, the
less similar the scores are
*AP test doesn’t usually test how to
calculate standard deviation, but how to
interpret it*
**AP test tip – knowing percentage of
scores that fall 1,2,3 standard deviations
from mean is important for AP exam**
For bell curve or normal curve – 68% is
one standard deviation, 95% 2 standard
deviations, 99.8% 3 standard deviations
Inferential Statistics
Representative Samples are better
than biased samples
Less-variable observations are more
reliable than those that are more
variable
More cases are better than fewer
**Generalizations/anecdotes are
unreliable**
Statistical Significance
How 2 groups’ means are different
If you graphed data from 2 groups & the the graphs did not overlap or
only overlapped a little, the difference would be significant; if graphs
overlapped a lot, the difference would not be significance
Significance allows you to say how likely the difference in means is due to
chance
The usual goal is to get a significance level of .05 which says results are
only 5% due to chance (or 95% due to your independent variable)
Effect size (measure of strength of relationship between variables) – new
way for researchers to report results; tells more about quality of data then
significance along
Psychology Applied
General principles that help explain many behaviors most important
Psych studies have been criticized in past for using samples that are
not representative of general public e.g. not including both genders
or multiple cultures
Famous example: Kohlberg moral development
Ethics in Research
APA ethics code requires that institutions that allow animal
experimentation to take place establish an Animal Care and
Use Committee to review whether studies done on animals
follow ethical standards
Milgram’s obedience and Zimbardo’s prison guard studies
forced researchers to consider long term psychological effects
on participants who may commit acts the didn’t realize they
were capable of
Confidentiality – keep participant info private; info may not be
released and data must not be presented so individuals can
be identified through any kind of process of elimination
Anonymity – participating in study without providing identifying
info; often helps participants respond more truthfully
Drs. Kenneth & Mamie Clark
1st psychological research cited in Supreme Court decision – black children
prefer white dolls over black dolls
Highlighted the importance of examining controversial and societal issues
with scientific methodology