Term
|
Definition
When an experiment finds an effect of the IV on the DV when there actually isn't one. |
|
|
Term
|
Definition
When an experiment fails to find an effect of the IV on the DV when there actually is one. |
|
|
Term
|
Definition
Research technique with random assignment in which the researcher manipulates the IV and measures the DV. |
|
|
Term
|
Definition
a nuisance variable that varies non-randomly with the IV. |
|
|
Term
|
Definition
occurs when the DV is so high or so low that it is impossible to show an effect of the IV on the DV |
|
|
Term
|
Definition
Any variable other than the IV that can affect the DV. Not fatal. |
|
|
Term
|
Definition
When a relationship exists between two variables in which a change in one results in a change in the other. |
|
|
Term
|
Definition
The variable the researcher measures to determine the effect of the Independent Variable. |
|
|
Term
|
Definition
The variable the researcher manipulates/chooses values for. |
|
|
Term
levels of the Independent Variable |
|
Definition
specific values of the IV that a researcher chooses to study. |
|
|
Term
|
Definition
An IV whose levels were chosen non-randomly. Results cannot be generalized beyond the levels used. |
|
|
Term
|
Definition
An IV whose levels were chosen randomly from a population of possible values. If a reliable effect of a random factor is found it may be generalized to all other levels in the population |
|
|
Term
Factors determining statistical power |
|
Definition
1)alpha level 2)Effect Size 3) Variability in the DV 4)Sample Size 5) (W/in Subjects Design only) correlation between the IV levels |
|
|
Term
|
Definition
Probability of making a Type I error. |
|
|
Term
|
Definition
Research technique that manipulates a a IV but lacks random assignment. |
|
|
Term
|
Definition
Probability of making a Type II error. |
|
|
Term
|
Definition
research technique in which the researcher simply observes and describes behavior. Used for answering simple questions and generate research ideas |
|
|
Term
|
Definition
research technique that attempts to determine the relationship between variables without manipulating them. |
|
|
Term
|
Definition
research design in which there is more than one IV and every IV level is present at all levels of the other IVs |
|
|
Term
|
Definition
The independent effect of one IV on the DV in a factorial design. |
|
|
Term
|
Definition
A statistic used to indicate the direction and strength of linear relationship between two variables measured on an interval or ratio scale. |
|
|
Term
correlation cannot be used to determine causation because: |
|
Definition
1)Directionality Problem Sometimes unclear which variable is cause and which is effect 2)Third Variable Problem A third unmeasured variable may be causing the relationship |
|
|
Term
Mathmatical limitations of correlations |
|
Definition
1)poor at capturing non-linear relationships 2)Greatly effected by extreme scores 3)can be lowered by range-restriction (floor or ceiling effect) |
|
|
Term
|
Definition
a description of the behavior and abilities of a single, usually exceptional, individual. Best used to generate hypothesis testable by other methods |
|
|
Term
Experimental Single Subject Design |
|
Definition
Effect of IV on the DV are examined using one subject. |
|
|
Term
|
Definition
Experimental Single Subject Design where subjects behavior is recorded prior to the treatment. Then the treatment is introduced and behavior is measured again. The treatment is withdrawn to see if thebehavior reverts to pre-treatment levels. Then the treatment is reintroduced. |
|
|
Term
|
Definition
Type of Experimental Single Subject Design where a)several different behaviors of one subject are measured. b)Treatment is applied to only one of the behaviors. c)research determines if the treated behavior changes relative to the other behaviors. d) process is repeated for each other behavior |
|
|
Term
Proportion of Variance Accounted for |
|
Definition
The amount of variability in one variable that can be predicted by knowing the values of another variable |
|
|
Term
|
Definition
research design in which there is more than one IV and every IV level is present at all levels of the other IVs. |
|
|
Term
|
Definition
occurs when the effects of one IV on the DV change depending on level of another IV |
|
|
Term
|
Definition
Research technique in which the researcher manipulates the IV but which fails to have random assignment. |
|
|
Term
|
Definition
Within subjects design in which the performance of a single group of subjects is measured both before and after some experimental treatment |
|
|
Term
Single group pre-test/post-test design |
|
Definition
Time-series design in which only one measurement of DV is made before treatment and only one measurement is made after the treatment |
|
|
Term
Interrupted time-series design |
|
Definition
time-series design in which more than one measurement is made of the DV before IV manipulation and more than one measurement is made afterwards. |
|
|
Term
Non-Equivalent Before-After Design |
|
Definition
Pre-test and post test assigned groups of subjects (non-randomly). The difference between the pre and post test scores serves as the DV. |
|
|
Term
|
Definition
researcher uses archival data to study an event that occurred in the past. |
|
|
Term
|
Definition
A tentative statement about the possible relationship between observable variables |
|
|
Term
|
Definition
Explanation for phenomenon that can be falsified and that involves entities that cannot be directly observed |
|
|
Term
|
Definition
each participant receives all levels of the IV |
|
|
Term
Circumstances when the experimental approach cannot be used |
|
Definition
Unethical, difficult/impossible, no random assignment not possible |
|
|
Term
|
Definition
The extent to which a study provides a valid test of the relationship between the IV and DV |
|
|
Term
|
Definition
The extent to which the results can be applied outside the research situation. |
|
|
Term
possible values of the correlation co-efficient |
|
Definition
|
|
Term
Advantages of the experimental technique |
|
Definition
able to infer causal relationships. |
|
|
Term
Properties of scales of measurment |
|
Definition
Identity: different entities receive different scores Magnitude:ordering of values on the scale reflects the order of the trait being measured Equal Intervals: occurs when a difference of 1 on the scale is the same amount of the trait being measured everywhere on the scale |
|
|
Term
|
Definition
occurs when subjects change their behavior because they realize what the manipulations are in the study~fatal |
|
|
Term
|
Definition
occurs when effects of one treatment persist when another treatment is introduced. Can only be corrected by use of between subjects design. |
|
|
Term
|
Definition
occur when the subjects performance on the experimental changes either for better or worse as a result of experience with tasks |
|
|
Term
|
Definition
method of assigning subjects to treatment orders so that across subjects practice effects are even. |
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
Tendency for extreme values to fall closer to the group mean when retested. |
|
|
Term
|
Definition
as one variable increases the other variable also tends to go up. |
|
|
Term
|
Definition
When one variable goes up the other variable tends to go down. |
|
|
Term
Function of a latin square |
|
Definition
To balance practice effects. |
|
|
Term
|
Definition
a demand characteristic that occurs when subjects change there behavior as a result of their expectation that change should occur. |
|
|
Term
|
Definition
aspects of a study that indicate to the subjects how they are to respond |
|
|
Term
Rosenthal Effect (Experimenter Expectancy Effect) |
|
Definition
Demand Characteristic that occurs when subjects change their behavior due to unintentional cues from the researcher. |
|
|
Term
|
Definition
Demand Characteristic occurs when subjects change their behavior because they know they are being watched. |
|
|
Term
|
Definition
occurs when the IV influences the DV only because its new. |
|
|