QuasiExperimental Designs - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

QuasiExperimental Designs

Description:

Quasi-Experimental. Designs. Chapter 11. Research in applied settings. True experiments may not be possible ... Still need to assess whether an independent ... – PowerPoint PPT presentation

Number of Views:957
Avg rating:3.0/5.0
Slides: 15
Provided by: ValuedGate883
Category:

less

Transcript and Presenter's Notes

Title: QuasiExperimental Designs


1
Quasi-ExperimentalDesigns
  • Chapter 11

2
Research in applied settings
  • True experiments may not be possible
  • Still need to assess whether an independent
    variable had an effect on a dependent variable
  • Does 3 strikes reduce crime?
  • Does D.A.R.E. work?
  • Does the new employee training program reduce
    missed work days?

3
Program Evaluation
  • Needs Assessment
  • Program Theory Assessment
  • Process Evaluation
  • Outcome Evaluation
  • Efficiency Assessment

4
Nonequivalent control group pretest-posttest
design
  • O X O
  • -----------------
  • O O
  • Treatment and control groups may not be
    equivalent no random assignment
  • Compare change in the two groups

5
Interrupted Time Series Design
  • O O O O O O X O O O O O O
  • Change from immediately before to after treatment
    is difficult to interpret
  • Allows clearer interpretation of effect of
    treatment

6
Control Series Design
  • O O O O O O X O O O O O O
  • O O O O O O O O O O O O
  • Improves on the times series design
  • Observations in control condition reduce
    ambiguities that may be present in the treatment
    observations

7
Single-subject Designs
  • N1 Design
  • Single-Person Design

8
Reversal Design
  • Establish a baseline for behavior (A)
  • At a random point, introduce treatment and
    continue observing behavior (B)
  • At a random point, withdraw the treatment (A)
  • Is there a reversal of the behavior?

9
ABAB Reversal Design
  • Improves on ABA design
  • A second treatment change in behavior is powerful
    evidence for its effect

10
Multiple Baseline Design
  • Do not withdraw treatment
  • Show evidence through multiple replications
  • Multiple subjects
  • Multiple behaviors
  • Multiple situations

11
Developmental Research
  • Studying Changes Across Age

12
Cross-Sectional
  • Study people of different ages at one time
  • Ex Compare people 30, 50, 70 years of age
  • Problem cohort effects may explain age
    differences

13
Longitudinal
  • Study the same people as they grow older
  • Ex Find the same people when they are 30, 50,
    and 70
  • Examine changes with age
  • Expensive and difficult

14
Sequential method
  • Combine cross-sectional and longitudinal
    approaches
  • Take cross-sectional approach at time 1 but
    follow up the same people for a longitudinal
    study at time 2
  • Provides immediate age difference information
Write a Comment
User Comments (0)
About PowerShow.com