Quasi-experimental, Correlational, and Naturalistic Designs

Chapter 12 

30 cards   |   Total Attempts: 182
  

Cards In This Set

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:
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
Answer
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
Answer
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
Answer
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