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Hypothesis
Tentative explanation; must be FALSIFIABLE; able to be supported or rejected
Operational definition
Clear, precise, quantifiable definition of your variables- allows replication and collection of reliable data
Qualitative data
Descriptive data (eye color)
Quantitative data
Numerical data; IDEAL and necessary for stats
Population
Everyone the research could apply to
Sample
The people (or person) specifically chosen for your study
Correlation
Identify relationship between 2 variables
Advantages of correlation
Useful when experiments are unethical
Disadvantages of correlation
Correlation does not equal causation
Directionality prolem
Which direction does the correlation go?
3rd variable problem
Different variable is responsible for relationship (ice cream and murder)
Positive correlation
Variables increase and decrease together
Negative correlation
As one variable increases the other decreases
The stronger the ____ the stronger the ____ regardless of?
The stronger the number the stronger the relationship REGARDLESS of the positive or negative sign
Cannot be < or > than 1
Stronger relationships equals?
Stronger relationships = tighter clusters on graph
Experiments
Purposefully manipulate variables to determine cause/effect
Advantages of experiements
Only type that establishes cause and effect
Disadvantages of experiments
Can be unethical, too artificial
Independent variable
Purposefully altered by researcher to look for effect
Experimental group
Received the treatment (Part of the Indep variable); can have multiple experimental groups
Control gorup
Placebo, baseline (part of indep variable); can only have 1
Dependent variable
Measured variable (is DEPENDENT on the independent variable)
Placebo effect
Any observed effect on a behavior that is “caused” by the placebo (shows effectiveness of experimental treatment)
Usually fixed with blinded studies
Double-blind
Experiment where neither the participant or the experimenter are aware of which condition people are assigned to (drug studies)
Single-blind
Only participant blind- used if experimenter can’t be blind (gender, age, etc)
Confound
Error / flaw in study that is accidentally introduced (can be called a confounding variable)
Random assignment
Assigns participants to either control or experimental groups at random- increase chance of equal representation among groups (spreads the lefties across both groups); allows you to say cause/ effect
Naturalistic observation
Observe people in their natural settings
Naturalistic Observation advantages
Real world validity
Naturalistic observation disadvantages
No cause and effect
Case study
Studies ONE person (usually) in great detail
Case study advantages
Collect lots of info
Case study disadvantages
No cause/effect
Meta-analysis
Combines multiple studies to increase sample size and examine effect sizes
Descriptive stats
Show shape of data
Measures of Central Tendency
Mean
Median
Mode
Mean
Average (use in normal distribution)
Median
Middle number (use in skewed distribution)
Mode
Occurs most often
Bimodal
Has 2 modes, usually indicates good bad scores
Skews
Created by outliers
Negative skew
Mean is to the left (negative side), mode is to the right
Positive skew
Mean is to the right
Measure of variation
Range
Standard deviation
Range
Distance between smallest and biggest numbers
Standard deviation
Average amount the scores are spread from the mean (bigger number = more spread)
Inferential statistics
Establishes significance (meaningfulness)
Statistical significance
Results not due to chance, experimental manipulation caused the difference in means
p<0.5 = statistical significance, smaller = better
Effect size
Data has practical significance - bigger = better
Ethical guidelines
Confidentiality
Informed consent
Informed assent
Debriefing
Deception
Protection from harm
Confidentiality
Names kept secret
Informed consent
Must agree to part of the study
Informed assent
Minors AND their parents must agree
Debriefing
Must be told the true purpose of the study (done after for deception)
Deception must be warranted
Protection from harm
Mental/ physical
Surveys
Usually turned into correlation
Subject to self report bias
Self report bias
Errors when collecting survey data to social desirability and wording effects
Social desirability
People lie to look good
Wording effects
How you frame the question can impact your answers
Random sample (selection)
Method for choosing participants for your study, everyone has a chance to take part, increases generalizability
Should you mix random sample and random assignment?
DO NOT MIX random sample and random assignment
Sample = generalize
Assignment = cause/ effect
Representative sample
Sample mimics the general population (ethnic, gender, age)
Convenience sample
Select participants on availability; less representative and less generalizability this way
Sampling bias
Sample isn’t representative, due to convenience sampling
Cultural norms
Behaviors of a particular group can influence research results
Experimenter bias/ participant bias
Experimenter/ participant expectations influences the outcomes
Cognitive bias
Bias in thinking/ judgement
Confirmation bias
Find info that supports our preexisting beliefs
Hindsight bias
“I knew it all along”
Overconfidence
Overestimate our knowledge/abilities
Hawthorne effect
People change behavior when watched
What does research need?
Research needs peer review when watched