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psychophysics
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one of experimental psychology's original areas of research; investigates the relationship between physical stimuli and the perception of those stimuli; studies thresholds
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quasi-experiment
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occurs whenever causal conclusions about the effect of an independent variable cannot be drawn because there is incomplete control over the variables in the study; random assignment not possible in these studies
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matching
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a procedure for creating equivalent groups in which participants are measured on some factor (a "matching variable") expected to correlate with the dependent variable; groups are then formed by taking participants who score at the same level on matching variable and randomly assigning them to groups
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experimenter bias
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occurs when an experimenter's expectations about a study affect its outcome
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partial correlation
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a multivariate statistical procedure for evaluating the effects of third variables; if the correlation between X and Y remains high, even after some third factor Z has been "partialed out," then Z can be eliminated as a third variable
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trends
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predictable patterns of events that occur over a period of time; evaluated in time series studies
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scatterplot
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a graph depicting the relationship shown by a correlation
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multivariate analysis
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any statistical analysis investigating the relationship between more than two variables
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mean
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average of a set of scores
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null hypothesis
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hypothesis that the differences between two or more population parameters are zero. used nontechnically to refer to the condition that no differences exist between groups in an experiment
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confound
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factor that systmeatically biases the research but was not purposely introduced by the experimenter
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hypothesis
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a statement or expectation developed in relation to an explicit or implicit theory concerning potential outcomes of an experiment
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discrete variable
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variable in which each level represents a distinct category that is qualitatively different from another category (e.g., males and females)
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cross-sectional study
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in developmental psychology, a design in which age is the independent variable and different groups of people are tested; each group is of a different age
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protocols
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a detailed description of the sequence of events in a research session; used by an experimenter to ensure uniformity of treatment of research participants
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repeated-measures design
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another name for a within-subject design; participants are tested in each of the experiment's conditions
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Latin square
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form of partial counterbalancing in which each condition of the study occurs equally often in each sequential position and each condition precedes and follows each other condition exactly one time
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posttest
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a measurement given to participants at the conclusion of a study after they have experienced a treatment or been in a control group; comparisons are made with pretest scores to determine if change occurred
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progressive effect
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in a within-subjects design, any sequence effect in which the accumulated effects are assumed to be the same from trial to trial (e.g., fatigue)
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event sampling
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a procedure in observational research in which only certain types of behaviors occurring under precisely defined conditions are sampled
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multiple regression
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a multivariate analysis that includes a criterion variable and two or more predictor variables; the predictors will have different weights
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sugging
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a marketing strategy in which an attempt to sell a prduct is made by disguising the sales pitch with what appears to be a legitimate survey; the term is short for Selling Under the Guise of a survey
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behavior checklist
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lists of behaviors with predefined operational definitions that researchers are trained to use in an observational study
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representative sample
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a sample with characteristics that match those same attributes as they exist in the population
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regression analysis
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in correlational research, knowing the size of a correlation and a value for variable X, it is possible to predict a value for variable Y; this process occurs through a regression analysis
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sample
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some portion or subset of the population
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directionality problem
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in correlational research, this refers to the fact that for a correlation between variables X and Y, it is possible that X is causing Y, but it is also possible that Y is causing X; the correlation alone provides no basis for deciding between the two alternatives
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affirming the consequent
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form of reverse confirmatory reasoning in which one case is used to draw the illogical conclusion relating to all similar cases.If p, then q.p.therefore q.
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confounding variables
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a variable that systematically varies with the independent variable that could provide an alternative explanation for the influence of the independent variable on the dependent variable
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deduction
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reasoning from the general to the particular, as in the case of creating an expected hypothesis for a particular experiment from a general theoretical statement. Opposite of induction.
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chance variation
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occurrence of events without any known antecedent as seen from the standpoint of the experiment
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validity
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accuracy of our ideas and our research; degree to which these are true and capable of support
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Thomas Kuhn
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science goes through series of revolutions, paradigms until another paradigm shift (revolution) takes placestable period between shifts is normal science
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standard deviation
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measure of variability calculated by taking the square root of the variance
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operational definiton
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a definition that presents a construct in terms of observable operations that can be measured and utilized in researchit redefines the concept in terms of clearly observable operations that anyone can see and repeat
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y-axis
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vertical axis of a graph also referred to as the ordinate. dependent variable plotted here
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modeling
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a procedure using either a conceptual or a mathematical model to generate data
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quantitative methods
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methods that emphasize measures using numbers and traditional statistical techniques
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random assignment
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the most common procedure for creating equivalent groups in a between-subjects design; each individual volunteering for the study has an equal probability of being assigned to any one of the groups in the study
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interaction
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in a factorial design, occurs when the effect of one independent variable depends on the level of another independent variable
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evaluation apprehension
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a form of anxiety experienced by participants that leads them to behave so as to be evaluated positively by the experimenter
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task variable
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type of independent variable in which participant are given different types to tasks to perform (e.g., mazes that differ in level of difficulty)
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carryover effect
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form of sequence effect in which systematic changes in performance occur as a result of completing one sequence of conditions rather than a different sequence
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situational variable
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type of independent variable in which subjects encounter different environmental circumstances (e.g., large vs. small rooms in a crowding study)
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block randomization
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a procedure used to accomplish random assignment and ensure an equal number of participants in each condition; ensures that each condition of the study has a subject randomly assigned to it before any condition has a subject assigned to it again; also used in within-subjects design as a counterbalancing procedure to ensure that when participants are tested in each condition more than once, they experience each condition once before experiencing any condition again
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within-subjects design
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any experimental design in which the same participants serve in each of the different conditions of the study; also called a "repeated-measures" design
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history
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a threat to internal validity of a study; occurs when some historical event that could affect participants happens between the beginning of a study and its end
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ANOVA source table
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a standardized method for displaying the results of an ANOVA; includes sources of variance, sums of squares, degrees of freedom, mean squares (variance), F ratios, and probability values
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placebo control group
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control group in which some participants believe they are receiving the experimental treatment, but they are not
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continuous variable
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variable for which an infinite number of values potentially exists (e.g. a drug's dosage level)
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needs analysis
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form of program evaluation that occurs before a program begins and determines whether the program is needed
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quota sample
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a non-probability sample in which the proportions of some subgroups in the sample are the same as those subgroup proportions in the population
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program evaluation
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a form of applied research that includes a number of research activities designed to evaluate programs from planning to completion
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predictor variable
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in a regression analysis, the variable used to predict the criterion variable (e.g., SAT scores are used to predict college grades)
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interview survey
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a survey method in which the researcher interviews the participant face to face; allows for more in-depth surveying (e.g., follow-up questions and clarification)
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convenience sample
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a non-probability sample in which the researchers requests volunteers from a group of people who meet the general requirements of the study (e.g., teenagers); used in most psychological research, except when specific estimates of population values need to be made
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self-selection problem
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in surveys, when the sample is composed of only those who voluntarily choose to respond, the result can be a biased sample
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split-half reliability
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a form of reliability in which one-half of the items (e.g., the even-numbered items) on a test are correlated with the remaining items
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random assignment
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occurs when a partcipants chances of being assigned to each group in an experiment are equal
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consequent
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the second of two propositions in a logical argument of the form It antecedent is true, then consequent follows.
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single-factor multilevel design
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any design with a single independent variable and more than two levels of the independent variable
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yoked control group
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control group in which the treatment given a member of the control group is matched exactly with the treatment given a member of the experimental group
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t test for related sample
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an inferential statistical analysis used when comparing two samples of data in either a matched groups design or a repeated-measures design
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good subject
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a form of participant bias in which participants try to guess the experimenter's hypothesis and then behave in such a way as to confirm it
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independent groups design
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a between-subjects design that uses a manipulated independent variable and has at least two groups of participants; subjects are randomly assigned to the groups
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simple random sample
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a probability sample in which each member of the population has an equal chance of being selected as a member of the sample
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criterion variable
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in a regression analysis, this is the variable that is being predicted from the predictor variable (e.g., college grades are predicted from SAT scores)
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coefficient of determination (r^2)
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for two correlated factors, the proportion of variance in one factor that can be attributed to the second factor; found by squaring Pearson's r
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Pearson's r
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measure of the size of a correlation between two variables; ranges from a perfect positive correlation of +1.00 to a perfect negative correlation of -1.00; if r=0, then no relationship exists between the variables
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biased sample
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a sample that is not representative of the population
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intraclass correlation
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a form of correlation used when pairs of scores do not come from the same individual, as when correlations are calculated for pairs of twins
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open-ended question
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a type of question found on surveys that requires a narrative response, rather than a "yes" or "no" answer
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inter-observer reliability
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the degree of agreement between two or more observers of the same event
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dependent variable
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the variable that is measured by the experimenter
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random number table
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table of numbers created so that their occurrence cannot be predicted from a mathematical formula
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statistical conclusion validity
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said to exist when the researcher uses statistical analysis properly and draws the appropriate conclusions from the analysis
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homogeneity of variance
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one of the conditions that should be in effect in order to perform parametric inferential tests such a a t test or ANOVA; refers to the fact that variability among all the conditions of a study ought to be similar
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demographic information
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any data that can serve to classify or identify individuals (e.g., gender, age, income)
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denying the antecedent
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form of reasoning in which a false premise is illogically concluded to result in a false consequentIf p, then q. Not p. Therfore, not q.
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modus ponens (confirmatory reasoning)
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reasoning that a true premise leads to a true consequentIf p,then q.ptherfore, q.
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cohort effects
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a cohort is a group of people born at about the same time; cohort effects can reduce the internal validity of cross-sectional studies because differences between groups could result from the effects of growing up in different historical eras
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regression to the mean
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if a score on a test is extremely high or extremely low, a second score taken will be closer to the mean score; can be a threat to the internal validity or a study if a pretest score is extreme and the posttest score changes in the direction of the mean
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