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Psychology Chapter 2 Key Terms and Definitions

AB
Experimenter biasThe paticipants in an experiment who receive the drug or other treatment under study - that is, those who are exposed to the charge that the independent variable represents.
Demand CharacteristicsAny aspects of a study that communicate to the participants how the experimenter wants them to behave.
Research Participant BiasIn an experiment, the influence of participants' expectations, and their thoughts on how they should behave, on their behavior.
Placebo EffectA phenomenon in which the participants' expectations,rather than an actual treatment, produce an outcome.
PlaceboIn a drug study, a harmless substance that has no physiological effect, given to participants in a control group so that they are treated identically to the experimental group except for the active agent.
Double-Blind ExperimentAn experimental design in which neither the experimenter nor the participants are aware of which participants are in the experimental group until the results are calculated.
PopulationThe entire group about which the investigator wants to draw conclusions.
SampleThe subset of the population chosen by the investigator for study.
Random SampleA sample that gives every member of the population an equal chance of being selected.
Naturalistic ObservationThe observation of behavior in a real-world setting.
Descriptive StatisticsMathematical procedures that are used to desribe and summarize sets of data in a meaningful way.
MeanA measure of central tendencythat is the average for a sample.
MedianA measure of central tendency that is the middle scorein a sample.
ModeA measure of central tendency that is the most common score in a sample.
RangeA measure of dispersion that is the difference between the highest and lowest scores.
VariableAnything that can change.
TheoryA broad idea or set closely related ideas that attempts to explain observations and to make predictions about future obseervations.
HypothesisAn educated guess that derives logically from a theory; a prediction that can be tested.
Operational DefinitionA definition that provides an objective description of how a variable is going to be measured and observed in a particular study.
Descriptive ResearchResearch that determinesthe basic dimensions of a phenomenon, defining what it is, how often it occurs, and so on.
Case Study or Case HistoryAn in-depth look at a single individual.
Correlational ResearchResearch that examines the relations between variables with the purpose of determining whether and how two variables change together.
Third Variable ProblemThe circumstance where a variable that has not been measured accounts for the relationship between two other variables.
Cross-Sectional DesignA type of correlation study in which variables are measured at a single point in time.
Longitudinal DesignA special kind of systematci observation, used by correlational researchers, that involves obtaining measures of the variable of interest in multiple waves overtime.
ExperimentA carefully regulated procedure in which the researcher manipulates one or more variables that are believed to influence some other variable.
Random AssignmentResearchers' assignment of participants to groups by chance, to reduce the likelihood that an experiment's results will be due to preexisting differences between groups.
Independent VariableA manipulated experimental factor; the variable that the experimenter changes to see what its effects are.
Dependent VariableThe outcome; the factor that can change in an experiment in response to changes in the independent variable.
ConfederateA person who is given a role to play in a study so that the social context can be manipulated.
Experimental GroupThe participants in an experiment who receive the drug or other treatment under study - that is, those who are exposed to the change that the independent variable represents.
Control GroupThe participants in an experiment who are as much like the experimental group as possible and who are treated in every way like the experimental group except for a manipulated factor, the independent variable.
External ValidityThe degree to which an experimental design actually reflects the real-world issues it is supposed to address.
Internal ValidityThe degree to which changes in the dependent variable are due to manipulation of the independent variable.
Standard DeviationA measure of dispersion that tells us how much scored in a sample differ from the mean of the sample.
Inferential StatisticsMathematical methods that are used to indicate whether results for a sample are likely to generalize to a population.


Caroline Pratt

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