scientific research methods Flashcards
(46 cards)
Independent Variable
The variable that is manipulated or varied by the experimenter. When applied in research, this variable is said to cause the results
Dependent Variable
The variable which is being observed or measured in the experimental situation to see the effect of the independent variable.
Operational Variable
States how the variables will be observed, manipulated and measured.
experimental hypothesis
a broad general prediction about whether the IV will effect the DV
research hypothesis
explains how the IV will be manipulated and how it’s effect will be measured on the DV
True Value
The value (or range of values) that would be found if the quantity could be measured perfectly.
Accuracy
The closeness of a measurement to the true value.
Precision
How close a set of measurements are to each other (not necessarily to the true value).
Repeatability
When a test is carried out under the same conditions (i.e. repeated) and the results match.
Reproducibility
When a test produces similar results under changed or different conditions
Internal Validity
When the test carried out measures what it intends to measure.
External Validity:
When the results of a study can be applied to similar individuals in a different setting
Extraneous Variables
ANY variable other than the independent variable (IV) that can cause a change in the dependent variable (DV) and therefore affects the results of the experiment in an unwanted way.
Confounding Variables
when an extraneous variable is not controlled for or held constant its effect can become confused with the effects of the independent variable.
Placebo Effect
There is a change in the results simply because a treatment has been given.
Boredom effect
doing a task a second time and performing worse than the first time due to fatigue or boredom
Practice effect
doing a task a second time and performing better than the first time simply because you have done it before
Non-Standardised Instructions and Procedures
Treating the groups of the experiment differently from one another, having multiple experimenters interacting with different participants and conducting the experiment in different ways.
Individual Participant Differences
People in different groups of the experiment are different from one another on important characteristics, meaning the groups are not equal.
Experimenter Effect
The expectations of the experimenter influence the participants’ results.
Double-Blind Procedure
Neither the participants nor the researcher know who is in the control or experimental conditions.
population
refers to the group that the researcher wishes to find out about
Random Sample
Every member of the population has an equal chance of selection
Stratified Random Sample:
Dividing the population into categories and selecting at random in proportions equivalent to population.