Chapter 10 Simple Experiments Flashcards
basic definition of an experiment
a study where at least 1 variable is manipulated and others are measured
control variables are also known as what?
extraneous variables or confounds
extraneous variable vs confound vs third variable
extraneous: variables that are not the focus of the research but may impact the variables being studied
confound: extraneous variable in EXPERIMENTAL RESEARCH that provides an alternative explanation
third variable: extraneous variable in CORRELATIONAL RESEARCH that provides an alternative explanation
how are confounds and third variables related to the variables of interest in their respective studies?
confounds vary systematically with the IV and MAY impact the DV
third variables are associated with both IV and DV (could be a spurious correlation)
what does “treatment” refer to in experiments?
the manipulated condition that researchers are most interested in; not necessarily medicine
IV levels vary. what are 3 types of groups seen in experimental studies?
treatment groups, comparison groups and control groups
comparison group
level of IV that differs from the treatment in a meaningful way
control group
neutral/no treatment condition
main type of control group
placebo group: group receives an inert treatment
true or false: every experiment needs a control condition
false
true or false: every experiment needs a comparison group
true
adding a control condition to an experiment may help tell what?
the direction of effects
confounds threaten which validity?
internal
what may be the cause of design confounds?
the IV operationalization/aspects of experimental procedure
systematic variability
the levels of a third variable vary alongside IV variation/dif levels of the IV
unsystematic variability
the levels of a variable vary independently of experimental groups
selection effects
characteristics of participants in one level of the IV are systematically different than that of participants in the other levels of the IV
2 ways to avoid selection effects
random assignment & matched groups
2 types of confounds
design confounds and selection effects
blocked random assignment
ensuring equal numbers of people are in each condition
goal of matched groups
ensuring groups are as equal as possible on important variables
3 steps to attaining matched groups
- measure an important participant variable
- put people with comparable scores in pairs
- within each pair, randomly assign 1 person to each condition
how is control of the IV obtained in experiments?
manipulation of the IV
how is control of extraneous variables and confounds obtained?
random assignment & holding variables constant on purpose