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PSYC 3016 Ch 3
| Term | Definition |
|---|---|
| objective test | A personality test that consists of a list of questions to be answered by the subject as True or False, Yes or No, or along a numeric scale (e.g., 1 to 7). |
| factory analysis | A statistical technique for finding clusters of related traits, tests, or items. |
| p level | In statistical data analysis, the probability that the obtained correlation or difference between experimental conditions would be expected by chance. |
| Type 1 error | In research, the mistake of thinking that one variable has an effect on, or relationship with, another variable, when really it does not. |
| Typer 2 error | In research, the mistake of thinking that one variable does not have an effect on or relationship with another, when really it does. |
| correlation coefficient | A number between –1 and +1 that reflects the degree to which one variable, traditionally called y, is a linear function of another, traditionally called x. |
| Binomial Effect Size Display | A method for displaying and understanding more clearly the magnitude of an effect reported as a correlation, by translating the value of r into a 2 × 2 table comparing predicted with obtained results. |
| replication | Doing a study again to see if the results hold up. Replications are especially persuasive when done by different researchers in different labs than the original study. |
| publication bias | The tendency of scientific journals preferentially to publish studies with strong results. |
| questionable research practices | Research practices that, while not exactly deceptive, can increase the chances of obtaining the result the researcher desires. These include deleting unusual responses and adjusting results to remove the influence of seemingly extraneous factors. |
| p-hacking | Analyzing data in various ways until one finds the desired result. |
| open science | A set of emerging principles intended to improve the transparency of scientific research and that encourage fully reporting all methods and variables used in a study, reporting studies that failed as well as succeeded, and sharing data among scientists. |
| effect size | A number that reflects the degree to which one variable affects, or is related to, another variable. |
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dr_toombs
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