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Bimodal distribution
Two peaks in data set
Hindsight bias
Believing outcome was predictable
Positive Correlation
Variables increase together consistently
Case study
Detailed analysis of individual
Hypothesis
Testable prediction about variables
Positive skew
Tail extends toward higher values
Central tendency
Middle value of distribution
Independent variables
Manipulated factor in experiment
Protection from harm
Safeguard participants from injury
Confidentiality
Keep participants’ data private
Informed consent
Participants agree after information
Qualitative research/measures
Describes qualities not numbers
Confirmation bias
Favoring info supporting beliefs
Institutional review
Ethics committee for research
Quantitative research/measures
Uses numerical data analysis
Confounding variables
Uncontrolled factors affecting results
Likert scales
Measures attitudes with statements
Random assignment
Equal chance for conditions
Control group
Group without independent variable
Mean
Average of all values
Random sampling
Equal chance selection method
Convenience sampling
Easily accessible participants chosen
Median
Middle value in data
Range
Difference between highest and lowest
Correlation
Relationship between two variables
Meta-analysis
Combines results from studies
Regression toward the mean
Extreme scores move closer average
Correlation coefficient
Numeric strength of correlation
Mode
Most frequent data value
Replication
Repeating study for reliability
Cultural norms
Shared societal expectations rules
Naturalistic observation
Observe behavior without interference
Representation of participants
Sample reflects target population
Debriefing
Explain study after participation
Negative Correlation
One variable increases
Representative sample
Reflects population characteristics accurately
Deception
Misleading participants about study
Negative skew
Tail extends toward lower values
Sample
Subset of larger population
Dependent variables
Measured effect in experiment
Normal curve
Bell-shaped symmetrical distribution
Scatterplot
Graph showing variable relationships
Directionality problem (in correlation)
Cannot tell cause direction
Operational definitions
Specific definition for measurement
Single-blind study
Participants unaware of conditions
Double-blind study
Participants and researchers unaware
Overconfidence
Overestimating accuracy of knowledge
Social desirability bias
Answering to look favorable
Effect size
Magnitude of research result
Peer review
Experts evaluate before publication
Standard deviation
Spread of scores around mean
Experimental group
Receives independent variable treatment
Percentile rank
Position relative to others
Statistical significance
Results unlikely by chance
Experimenter bias
Researcher influences study results
Placebo
Inactive substance or treatment
Structured interviews
Standardized questions for participants
Potential Falsifiability
Can be proven false
Placebo effect
Improvement from believing treatment
Third variable problem (in correlation)
Unknown factor affects relationship
Generalizability
Apply findings to population
Population
Entire group being studied
Variance
Measure of score dispersion
Variation
Differences among data points