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70 Cards in this Set

  • Front
  • Back
Archival research
The use of existing sources of information for research. Sources include statistical records, survey archives, and written records.
Experimenter bias
Any intentional/ unintentional influence on subjects by the experimenter to induce a result
Coding system
A set of rules used to categorize observations.
Content analysis
Systematic analysis of recorded communications.
Contrived observation
"Set up" observation
Positive bias
Tends to exist rather than explicitly seeking out those occurrences that are NOT predicted by the working hypothesis
Narrative records
Full descriptions of a participant's behavior
Negative case analysis
In field observation, an examination of observations that do not fit with the explanatory structure devised by the researcher.
Psychobiography
A type of case study in which the life of an individual is analyzed using psychological theory.
Reactivity
A problem of measurement in which the measure changes the behavior being observed.
Reliability
The degree to which a measure is consistent.
Systemic observation
Observations of one or more specific variables, usually made in a precisely defined setting.
External validity
The degree to which the results of an experiment may be generalized.
Subjectivity
Being open minded in observation
Confidence interval
An interval of values within which there is a given level of confidence (e.g., 95%) where the population value lies.
Graphic rating scale
(______________________)
Non-verbal rating scale
:-) :-| :-(
Likert rating scale
Strongly Agree -- Strongly Disagree
Guttman rating scale
Cumulative items presuppose prior are true
Interviewer bias
Intentional or unintentional influence exerted by an interviewer in such a way that the actual or interpreted behavior of respondents is consistent with the interviewer's expectations.
Response rate
The percentage of people selected for a sample who actually completed a survey.
Response set
A pattern of response to questions on a self-report measure that is not related to the content of the questions.
Cluster sampling
A probability sampling method in which existing groups or geographic areas, called clusters, are identified. Clusters are randomly sampled and then everyone in the selected clusters participates in the study.
Nonprobability sampling
Type of sampling procedure in which one cannot specify the probability that any member of the population will be included in the sample.
Probability sampling
Type of sampling procedure in which one is able to specify the probability that any member of the population will be included in the sample.
Purposive sampling
A type of haphazard sample conducted to obtain predetermined types of individuals for the sample.
Quota sampling
A sampling procedure in which the sample is chosen to reflect the numerical composition of various subgroups in the population. A haphazard sampling technique is used to obtain the sample.
Simple random sampling
A sampling procedure in which each member of the population has an equal probability of being included in the sample.
Stratified random sampling
A probability sampling method in which a population is divided into subpopulation groups called strata; individuals are then randomly sampled from each of the strata.
Sampling frame
The individuals or clusters of individuals in a population who might actually be selected for inclusion in the sample.
Confound
A variable that is not controlled in a research investigation.
Counterbalancing
A method of controlling for order effects in a repeated measures design by either including all orders of treatment presentation or randomly determining the order for each subject.
Internal validity
The certainty with which results of an experiment can be attributed to the manipulation of the independent variable rather than to some other, confounding variable.
Independent groups
An experiment in which different subjects are assigned to each group. Also called between-subjects design.
Repeated measures
An experiment in which the same subjects are assigned to each group. Also called within-subjects design.
Matched pairs design
A method of assigning subjects to groups in which pairs of subjects are first matched on some characteristic and then individually assigned randomly to groups.
Mortality (Attrition)
The loss of subjects who decide to leave an experiment.
Posttest Only Design
A true experimental design in which the dependent variable (posttest) is measured only once, after manipulation of the independent variable.
Pretest -posttest
A true experimental design in which the dependent variable is measured both before (pretest) and after (posttest) manipulation of the independent variable.
Solomon 4 group design
Experimental design in which the experimental and control groups are studied with and without a pretest.
Carryover effect
A problem that may occur in repeated measures designs if the effects of one treatment are still present when the next treatment is given.
Contrast effect
Orange juice and toothpaste; effects of one experiment influence another
Ceiling effect
Failure of a measure to detect a difference because it was too easy
Floor effect
Failure of a measure to detect a difference because it was too difficult
Confederate
A person posing as a participant in an experiment who is actually part of the experiment.
Demand characteristics
Cues that inform the subject how he or she is expected to behave.
Double blind
A procedure wherein both the experimenter and the participant are unaware of whether the participant is in the experimental (treatment) or the control condition.
Electroencephalogram
A measure of the electrical activity of the brain.
Functional MRI
Magnetic resonance imaging uses a magnet to obtain scans of structures of the brain.
Galvanic skin response
The electrical conductance of the skin, which changes when sweating occurs.
Expectancy / Experimenter bias
Any intentional or unintentional influence that the experimenter exerts on subjects to confirm the hypothesis under investigation.
Filler items
Items included in a questionnaire measure to help disguise the true purpose of the measure.
Manipulation check
A measure used to determine whether the manipulation of the independent variable has had its intended effect on a subject.
Pilot study
A small-scale study conducted prior to conducting an actual experiment; designed to test and refine procedures.
Placebo control
In drug research, a group given an inert substance to assess the psychological effect of receiving a treatment.
Sensitivity
The ability of a measure to detect differences between groups.
Factor levels
Multiple levels of the IV can be used to determine the shape of the relationship between the IV and the DV
Participant variable
A characteristic of the research participant such as gender, age, personality, or ability.
IV x DV design
A factorial design that includes both an experimental independent variable (IV) and a nonexperimental participant variable (PV).
Factorial design
A design in which all levels of each independent variable are combined with all levels of the other independent variables. A factorial design allows investigation of the separate main effects and interactions of two or more independent variables.
Main effect
The direct effect of an independent variable on a dependent variable.
Interaction
Situation in which the effect of one independent variable on the dependent variable changes, depending on the level of another independent variable.
Simple main effect
In a factorial design, the effect of one independent variable at a particular level of another independent variable.
Within subject design
An experiment in which the same subjects are assigned to each group. Also called repeated measures design.
Between subject design
An experiment in which different subjects are assigned to each group. Also called independent groups design.
Mixed design
A design that includes both independent groups (between-subjects) and repeated measures (within-subjects) variables.
Moderator variables
A variable that influences the nature of the relationship between two other variables (an independent variable and a dependent variable). In a factorial design, the effect of the moderator variable is revealed as an interaction.
Qualitative research
Focuses on the qualities of the interaction; tends to involve natural settings
Quantitative research
Focuses on measured quantities; measurement of behaviors
High frequency scale
Best ever, top 1%, top 5%, top 10%...