Front | Back |
Closed system
|
Important factors that influence environment is controlled by the experimenter
Confident that IV causes change in DV Rule out rival hypothesis Not always possible High internal validity |
Open System
|
Participants can be influenced by a number of factors in which the researchers have little to no control
used when strong experimental designs are not possible Use common sense and reasoning to interpret data |
Quasi-experimental designs
|
Used to evaluate the impact of a variable on an ongoing process
|
Correlational designs
|
Describe the relationship between two variables
|
Naturalistic Observations
|
Describe an ongoing process in its natural setting
|
Quasi experimental designs:
Time series design |
Within-subjects design
Useful when interested in the effects of an event that has happened to all of the population being studied single-group pretest-posttest design, weak design |
Quasi experimental designs:
Interrupted time series design |
Several pretest and posttest measurements
Can add reversal of phenomenon to add confidence to results |
Quasi experimental designs:
Longitudinal designs |
Time is one of the independent variables (related to time series design)
same participants assessed over multiple time points but nothing is introduced between any of the time points Potential confounds |
Quasi experimental designs:
Nonequivalent control group posttest- only |
Exp. group X 01
Non equivalent control group O1 Used to compare effectiveness of some program when random assignment is not possible low internal validity - bc groups arent similar and don`t know how they differ because no pretest Weak design |
Quasi-experimental Designs:
Nonequivalent before after design |
Pretest provides baseline info
Very informative when random assignment is not possible Used in educational research Compare the differences between before and after scores |
Test writing productivity, u of s tests program, u of r control group. Whats happening Threats to internal validity: |
Both are increasing, so something else is affecting it
Maturation- could just be because one program is writing more than the other History`- because of pretest people want to get better, so they use feedback to write better |
|
No increase with u of r but there is an increase with u of s
Might conclude that the program is effective because of the increase Could be because of ceiling effects - u of r might already be at the top Regression effects towards the means |
|
No increase in u of r but in crease in u of s started out similar
More confidence in the effectiveness of the program Selection by maturation: no random assignment, so u of s might attract students that are stronger writers |
|
Strongest evidence that program is working
Most confidence in program |
Quasi experimental designs:
Optimizing nonequivalent before after designs |
Try to get control groups as similar as possible to experimental group
collect as much demographic info as possible knowing how groups differ increases confidence in results |