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3 types of research in psychology
experimental, correlational, and clinical
Experiment
An investigation seeking to understand the relations of cause and effect
Independent Variable
manipulated variable
Dependent Variable
what is measured
control variable
A variable that is kept constant during a controlled experiment
population
a group of interest
representative sample
randomly selected sample of subjects from a larger population of subjects
Representativeness
the degree to which a sample reflects the diverse characteristics of the population that is being studied
Random Sampling
ensures maximum representativeness
Sampling Bias
a flawed sampling process that produces an unrepresentative sample
Bias of Selection
systematic difference in the enrollment of participants in a study that leads to an incorrect result (e.g., risk ratio or odds ratio) or inference.
Self-Selection Bias
A bias that occurs because people who feel strongly about a subject are more likely to respond to survey questions than people who feel indifferent about it.
Pre-screening/Advertising
Researchers select who they want in their study based on populations
Healthy user bias
When the study population tends to be in better shape than the general population
Correlational Research
The degree of association between two or more variables or characteristics that occur naturally
Longitudinal Studies
over long periods of time with the same subjects
Cross-Sectional Studies
test a wide array of subjects from different backgrounds to increase generalizability
Confounding/third/extraneous variable
a factor other than the independent variable that might produce an effect in an experiment
Clinical Research
case studies
Conceptual Definition
the theory or issue being studied
Operational Definition
the way that a theory or issue will be directly observed and measured
Operational Definitions have to be
internally and externally valid
Internal validity
The certainty with which the results of an experiment can be attributed to the manipulation of the independent variable instead of the third variable
External Validity
The extent to which the findings of a study can be generalized to other contexts in the real world
reliability
whether or not the same results appear if the experiment is repeated under similar conditions
Inter-rater reliability
The degree to which different raters agree on their observations of the same data
naturalistic observation
observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation
Descriptive Statistics
summarize data
Inferential Statistics
allows researchers to test hypotheses about data and determine how confident they can be in their inferences about data
Central Tendency
mean, median, mode (characterizes a typical value)
Normal Curve
median=mode=mean
Variability
How much do the numbers in the set differ from one another
Positive Skew
means most of the values are on the lower end but there are some exceptionally large values
Negative Skew
Most values are on the higher end, but there are some exceptionally small values
Correlation Coefficient
how much two things relate to each other
Pearson correlation coefficient
The most common statistical measure of the strength of linear relationships among variables
Stanley Milgram
obedience to authority; had participants administer what they believed were dangerous electrical shocks to other participants; wanted to see if Germans were an aberration or if all people were capable of committing evil actions
Institutional Review Boards
An organization that must assess research plans before the research is approved to ensure that it meets all ethical standards
Alpha
the accepted probability that the result of an experiment can be attirbuted to chance rather than the manipulation of the independent variable
Type 1 Error
a conclusion that a difference exists when this difference doesn't exist
Type 2 Error
refers to the conclusion that there is no difference when there is a difference
p-value
The probability of making a Type I error and it indicates that the results are statistically significant (if p=.05 then 5%of making a type 1 error)