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Hypothesis
testable predictions
Theory
explains behaviors or events by offering ideas that organize observations
Overconfidence
when one overestimates their abilities or knowledge
Operational Definition
a very precisely worded statement of a research study’s exact procedure, exact definition of variables
Replication
repeating the same procedure with different people in different situations to see if the same conclusion is reached
Case Study
an in-depth analysis of a specific individual or group
Naturalistic Observation
recording the natural behavior of many individuals, used to describe, not explain, behavior
Survey
used to obtain self-reported attitudes or behaviors of a particular group, usually by questioning a random sample
Social Desirability Bias
people responding in ways they believe a researcher wants or wishes them to
Self-Report Bias
people report their behavior incorrectly
Sampling Bias
flawed sampling process that produces an unrepresentative sample
Random Sample
each member of the population has an equal chance of being selected for the sample
Population
the entire group of individuals or objects that share a common characteristic for a study
Correlation
the extent to which two factors vary together, how well they predict each other (not CAUSE each other)
Correlation Coefficient
a statistical measure of how closely two variables are correlated
Single-Blind Procedure
research participants don’t know if they’ve received the treatment or placebo
Double-Blind Procedure
both the research staff and research participants are blind as to whether they received the real or placebo
Placebo Effect
experimental results caused by expectations alone
Confounding/Extreneous Variable
a factor other than the factor being studied that would influence a study’s results
Experimenter Bias
researchers may unintentionally influence results to confirm their own beliefs
Validity
the experiment tests what it’s supposed to
Quantitative Research
relies on quantifiable, numerical data
Qualitative Research
in-depth descriptive data that is not reported numerically
Informed Consent
giving potential participants enough information about a study to enable them to choose if they want to participate
Debriefing
explaining the purpose and deceptions of the experiment after participationMod
Mode
the most frequently occurring value in a data set
Mean
the average of all values in a data set
Median
the middle number in a data set
Standard Deviation
a statistical calculation of how much failures in a data set vary from the mean
Normal Curve
a symmetrical data distribution where 50% of the data falls above the mean and 50% falls below
Meta-Analysis
analyzing the results of multiple studies to reach an overall conclusion
Statistical Significance
how likely it is that differences in results are a result of random chance (significant = occurred by more than chance, not significant = due to chance)