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Flashcards for Unit Zero - Research Design Basic Vocabulary, including hypothesis, operational definition, qualitative data, quantitative data, population, and sample.
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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 (e.g., eye color).
Quantitative data
Numerical data; ideal and necessary for statistics.
Population
Everyone the research could apply to.
Sample
The people (or person) specifically chosen for your study.
Correlation
A type of research design that identifies relationships between two variables but does not determine causation.
Positive Correlation
Variables increase & decrease together.
Negative Correlation
As one variable increases, the other decreases.
Experiments
Purposely manipulate variables to determine cause /effect.
Independent Variable
Purposefully altered by researcher to look for effect.
Experimental Group
Received the treatment (part of the IV); can have multiple exp groups.
Control Group
Placebo, baseline (part of the IV); can only have 1.
Dependent Variable
Measured variable (is DEPENDENT on the independent variable).
Placebo Effect
Any observed effect on a behavior caused by the placebo (shows effectiveness of exp. Treatment).
Double-Blind
Experiment where neither the participant nor the experimenter are aware of which condition people are assigned to.
Single-Blind
Only participant is blind – used if experimenter can’t be blind.
Confound
Error/flaw in study that is accidentally introduced.
Random Assignment
Assigns participants to either control or experimental group at random –increase chance of equal representation among groups
Naturalistic Observation
Observe people in their natural settings.
Case Study
Studies ONE person (usually) in great detail
Meta-Analysis
Combines multiple studies to increase sample size and examine effect sizes.
Descriptive Stats
Show shape of the data.
Mean
Average. Use in normal distribution.
Median
Middle number - use in skewed distribution.
Mode
Occurs most often.
Bimodal
Has two modes – usually indicates good bad scores.
Skew
Created by outliers.
Neg Skew
Mean is to the left (neg side), mode is to the right.
Pos Skew
Mean is to the right.
Range
Distance between smallest and biggest number.
Standard deviation
Average amount the scores are spread from the mean (bigger # = more spread).
Inferential Statistics
Establishes significance (meaningfulness).
Statistical Significance
Results not due to chance; exp. manipulation caused the difference in means.
Effect Size
Data has practical significance – bigger = better.
Confidentiality
Names kept secret.
Informed Consent
Must agree to be part of study.
Informed Assent
Minors AND their parents must agree.
Debriefing
Must be told the true purpose of the study (done after for deception).
Surveys
Usually turned into correlation. Subject to self report bias. Errors when collect survey data.
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.
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 conv. sampling.
Cultural Norms
Behaviors of a particular group can influence research results.
Experimenter bias / Participant bias
Experimenter/participant expectations influences the outcome.
Cognitive Bias
Bias in thinking/judgment.
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.