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"A design in which there are two levels of each of two independent variables, yielding four conditions" |
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A counterbalancing technique in which the treatment orders are randomized in successive blocks of presenting those conditions |
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When the effect of one independent variable on a dependent variable reverses at different levels of a second independent variable |
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"A message, signal, or pertinent fact that makes you doubt the accuracy or credibility of a persuasive message" |
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An experimental design in which each level of every independent variable occurs with all levels of the other independent variable |
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Experimental results that occur when the effects of one independent variable depend on the levels of other independent variables |
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When the effect of one independent variable is the same at all levels of another independent variable |
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Experimental design in which subjects are matched on some variable assumed to be correlated with the dependent variable and then randomly assigned to conditions |
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An experimental design that contains both between-subjects and within-subjects manipulations of the independent variables |
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A device that simulates only a portion of a system; see simulator |
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When subjects are randomly assigned to conditions in a between-subjects design |
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The process of unbiased assignment of subjects to conditions or unbiased variation of condition order |
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"Several measures are taken on the same participant, such as several learning trials or numerous psychophysical judgments; a type of within-subjects experiment" |
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A device that duplicates the functions of a real system to allow controlled experiments to be performed |
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An improvement in the effect of a persuasive message with the passage of time |
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Treatment x treatment x subjects |
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A within-subjects factorial design with two independent variables |
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A frequently used design in which a therapy (B) is instituted after measuring a particular behavior (A); a poor research design |
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See reversal (ABA) design |
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Alternating-treatments design |
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A small-n design in which two or more independent variables alternate |
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Changing-criterion design |
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A small-n design in which the criterion behavior needed to produce an outcome changes |
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An analysis of the antecedents and consequences of a particular behavior; usually undertaken before the implementation of a behavioral treatment |
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Designs in which inferential statistics are used to determine whether two or more groups differ reliably |
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A small-n design in which different behaviors (or different participants) receive baseline periods of varying lengths prior to the introduction of the independent variable |
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"Small-n design in which a participant’s behavior is measured under a baseline (A) condition, then an experimental treatment is applied during the B phase and any changes in behavior are observed; finally, the original baseline (A) conditions are reinstituted to ensure that the experimental treatment was responsible for any observed change during the B phase" |
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Research design using a small number of subjects |
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why can't observation treatment observation be reversed? |
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the teatment is not under the experimeters control most natural treatments are likely to have carryover effects |
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what are two threats to interal validty that occur naturally in treatments |
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history of the participants any changes in the participant that occur over time |
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The comparison case in DV case study is a ____because |
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"nonequivalen control because it was selected, not randomly assigned" |
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"in matching, be alert for" |
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synergism regression artifacts |
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confounds time of treatment or testing (can't know what caused the change in participant) |
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confound cohort of the participants with the target variable |
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"if you text effects of age both longitudinally and sectionally, and they are the same, what conclusions can be drawn?" |
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Ruling out cohorts an time of testing as important confoundings. |
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the effects of one variable are dependent on the level of the other variable |
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when using age and a independent variable will expect a____ |
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enhance internal validity with age as a variable |
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"cross sequential design and the search for interactions, convergining operations." |
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quasi experiments are similar to ex post facto for 2 reasons |
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they can have: naturally occuring variables subject variables |
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"In natural treatments, what can confound the results" |
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history maturation selection bias nonequivalent control groups
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what are two quasi-experimental procedures with low internal validity |
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one-shot case studies intterupted time series design |
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threats to internal validity on the two worst forms of quasi? |
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mortality and delayed effects |
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characterisitcs in matching can… |
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regresses towards mean interacts with the matched variables |
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whats a problem that comes from nonequivalent control group design? |
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One shot cases don't have? |
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baseling observations control condition |
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why is quasi better than ex post facto? |
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statements about causation are prefered to correlation |
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A benefit from interrupted time series? |
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use several depedent variables and can be examined like a case study |
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difficulties of inerrupted time series 2 |
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effects of treatment are: delayed masked by other variables |
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improve internal validity in case studies |
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deviant case analysis nonequivalent control mulitple depedent variables |
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improve internal validity in interrupted time series? |
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non equivalent control multiple dependent variables |
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multiple independent variables every subjects receives all combinations of levels of all IV's need counterbalancing |
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"Variables that covary with a target in statistical analyses, such as regression, that are accounted for in the analysis of the target" |
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Taking a large sample of the population of various ages at one time and testing them; contrast with longitudinal method |
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A quasi-experimental design used when age is a subject variable to try to control for cohort and time-of-testing effects; involves testing several different age groups at several different time periods; see longitudinal method and cross-sectional method |
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A possible confound in research that inadvertently takes place between measurements because of historical changes in the participant |
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Experimental results that occur when the effects of one independent variable depend on the levels of other independent variables |
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Interrupted-time-series design |
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A quasi-experiment that involves examination of a naturally occurring treatment on the behavior of a large number of participants |
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Testing one group of people repeatedly as they age; contrast with cross-sectional method |
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See subject variable and matched-groups design |
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Changes in people over time because of growth and other historical factors; may be a source of confounding in quasi-experiments |
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A possible source of confounding in research resulting from participants dropping out either because they will not participate or because they cannot participate |
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A type of regression analysis that uses more than one predictor variable |
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Nonequivalent control group |
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"In quasi-experiments, a control group that is not determined by random assignment but is usually selected after the fact and is supposed to be equivalent to the naturally treated group" |
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Observation-treatment-observation |
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A quasi-experimental design; usually includes a nonequivalent control group |
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A quasi-experiment in which the behavior of a single individual is studied and “explained” in terms of life events; see case study and deviant-case analysis |
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An experiment in which the independent variable occurs naturally and is not under direct control of the experimenter; see ex post facto |
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An artifact in the measurement of change on a variable when groups of subjects who scored at the extremes on the variable are tested again; see regression to the mean |
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"Tendency for extreme measures on some variable to be closer to the group mean when remeasured, due to unreliability of measurement" |
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Occurs when subjects are not selected randomly; see subject attrition and matching |
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"Some characteristics of people that can be measured or described but cannot be varied experimentally (e.g., height, weight, sex, IQ)" |
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A term used in medical research to describe an interaction; see interactions |
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"A quasi-experimental design used when age is a subject variable in order to control time of testing effects; subjects of a particular age (e.g., 19-year-olds) are tested at different time periods" |
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unbiased assignment of subjects to conditions |
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multi factor experiments have ___ and they have____ |
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- one independent variable
- may have more than two levels |
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what happens when more than two indep variables are varied? |
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it's a factorial design in which all possible combination of the levels of the independent variables are examined |
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what is the primary reason for using multifactor designs? |
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when there are two indep variables there are.... |
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two main effects, each associated with each variable, and there can be an interaction |
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one or more variables are varied within subjects; one or more variables are varied between subjects |
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why is AB an invalid way to evaluate therapy? |
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because changes occurring during treatment in the b phase may be cause by other factors that confounded with the factor of interest |
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the functional relation between what leads to the target behavior and the consequences that it produces |
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multiple baseline design with several behaviors is? |
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multiple baseline design with several people is? |
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the case study is a ____design |
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the small-n design assumes that valid conclusions can be made by... |
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making large numbers of observations on few subjects in a controlled situation |
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What is the indepedent variable in ABA? |
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interspersed between baseline periods are independent variable phases |
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What is an alternating treatments design? |
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a reversal design, involving numerous baseline periods and more than two levels of the independent variable. ACABCBCB |
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when is the multiple baseline design useful? |
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when the independent variable has carryover
behaviors to be altered are not independent of each other |
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