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ExperimentalDesign
Why Study
Causality
Conditions of
Causality
Types of
Experiments
Validity of
Experiment
Order of Occurrence
Concomitant Covariation
No other Explanation
Internal
External
Classical
Statistical
Pre-Experimental
Design
True-Experimental
Design
Quasi-Experimental
Design
One group After
Only
Types of Experiments
Classical Statistical
Completely Randomized
Randomized Block
Latin Square
Factorial
One Group
Before After
After Only with
Experimental &
Control
One Group
Before After
Time Series
Multiple Time
Series
Two Group
Before After
Two Group After
Only
Solomon Four
Group
Lab Experiment
Definition of
Lab
Experiment
A process of establishing cause and Effect relationship
by controlling the effect of confounding variables and
manipulating the value of independent variable
Controlling
Training Performance
Past Experience
Manipulation
Want to study the
effect of amount of
light
Use different amount
of light
Lab Experiment
Different experimental groups will have same value of
the confounding variables
Matching
Randomization All the groups will have randomly assigned members
Controlling the Contaminating Effect of Exogenous
Variables
Experiment or Measure
The source of effect is only the variable whose impact
we are studying
Internal Validity
External
Validity
Generalizing the results to the other settings
Internal Validity
History
Maturation
Testing
Instrumentation
Statistical
Regression
Selection Bias
Mortality
External events affect the Response
Changes because of passing Time
Effect of Taking Test on Subsequent Test
Effect of including of Extreme Cases
Change in Measuring Instrument
Experimental Group is anyway differ from
Population
Dropping out of the Respondents
Internal Validity
History External events affect the Response
Sales
Promotion Sales
Dairy
Farmer’s Ad
Independent
Variable
Dependent
Variable
Uncontrollable
Variable
t1 t2 t3
Internal Validity
Maturation Changes because of passing Time
Enhanced
Technology
Increase in
Efficiency
Independent
Variable
Dependent
Variable
Uncontrollable
Variable
t1 t2 t3
Gaining
Experience
Internal Validity
Testing Effect of Taking Test on Subsequent Test
First Measure 2nd Measure
Dependent
Variable
t1 t2 t3
Dependent
Variable
Internal Validity
Instrumentation Change in Measuring Instrument
First Measure
With Method 1
2nd Measure
with Method 2
Dependent
Variable
Dependent
Variable
t1 t2 t3
Internal Validity & External Validity
Statistical
Regression
Population
Sample
Effect of including of Extreme Cases
Internal Validity & External Validity
Selection Bias
Effect
Effect of including those who do not represent
the Population
Population
Sample
Internal Validity & External Validity
Mortality Dropping subjects from the sample overtime
Sample t1 Sample t2 Sample t3
Internal Validity
Instrumentation
Effect
Change in the Instrument from Pre to post test
Pre Test
What is the
speed of the
participant
Post Test
How well
they followed
the rules
Types of Experimental Design & Validity
Quasi Experimental
Design
Measure the effect of IV on
experimental Group
Pretest & Posttest
Experimental Group Design
Posttest Only With
Experimental & Control
Groups
Time series Design
Quasi Experimental Design
Pretest & Posttest
Experimental Group
Design
Group Pretest Treatment Posttest
Experimental O1 X O2
Control - - -
Treatment Group = (O2- O1)
Internal Validity
History Yes
Maturation Yes
Testing Yes
Instrumentation
Statistical
Regression
Selection Bias
Mortality Yes
Quasi Experimental Design
Posttest only with
Experimental &
Control Group
Group Pretest Treatment Posttest
Experimental - X O1
Control - - O2
Treatment Group = (O1- O2)
Internal Validity
History Yes
Maturation Yes
Testing
Instrumentation
Statistical
Regression
Selection Bias
Mortality Yes
Quasi Experimental Design
Time Series Design
Internal Validity
History
Maturation
Testing
Instrumentation
Statistical
Regression
Selection Bias
Mortality
O1 O2 O3 O4 O5 X O6 O7 O8 O9 O10
Types of Experimental Design & Validity
True Experimental
Design
It has both control and experimental
Group
Pre and Post Measure are taken
Pretest & Posttest Experimental & Control Group
Design
Solomon Four Group Design
Time series Design
True Experimental Design
Pretest & Posttest
with Experimental &
Control Group
Group Pretest Treatment Posttest
Experimental O1 X O2
Control O3 - O4
Treatment Group = (O2- O1) - (O4- O3)
Internal Validity
History Controlled
Maturation Controlled
Testing Controlled
Instrumentation Controlled
Statistical Regression Controlled Randomization
Selection Bias Controlled Randomization
Mortality Yes
True Experimental
Design
Solomon Four Group
Design
Group Pretest Treatment Posttest
Experimental O1 X O2
Control O3 - O4
Experimental X O5
Control O6
Treatment Group = (O2 - O1) - (O4 - O3)
Internal Validity
History Controlled
Maturation Controlled
Testing Controlled
Instrumentation Controlled
Statistical Regression Controlled Randomization
Selection Bias Controlled Randomization
Mortality Yes
E = O2 – O1
E = O2 – O4
E = O5 – O6
E = O5 – O3
E = (O2 – O1) – (O4 – O3)
If All E are similar the
Causal relation is
established
True Experimental Design
Ex Post
Facto
Design
There is no manipulation of independent
variable only the subjects who have already
been exposed to a stimulus and those who
have not been exposed to are compared.
Completely Randomized Design
Group Before Treatment After
G1 O1 X1 O2
G2 O3 X2 O4
G3 O5 X3 O6
Statistical Design
Randomized Block Design
Blocking Factor
Ind Var B1 B2 B3
V1 X1 X1 X1
V2 X2 X2 X2
V3 X3 X3 X3
Statistical Design
Latin Square Design
(Two Blocking Variables)
Blocking Factor1
Blocking
Factor2
B11 B12 B13
B21 X1 X1 X1
B22 X2 X2 X2
B23 X3 X3 X3
Statistical Design
Factorial Design
Ind Var2
Ind Var1 V21 V22 V23
V11
V12
V13
Statistical Design

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Experiementation causal research

  • 1.
  • 2. ExperimentalDesign Why Study Causality Conditions of Causality Types of Experiments Validity of Experiment Order of Occurrence Concomitant Covariation No other Explanation Internal External Classical Statistical
  • 3. Pre-Experimental Design True-Experimental Design Quasi-Experimental Design One group After Only Types of Experiments Classical Statistical Completely Randomized Randomized Block Latin Square Factorial One Group Before After After Only with Experimental & Control One Group Before After Time Series Multiple Time Series Two Group Before After Two Group After Only Solomon Four Group
  • 4. Lab Experiment Definition of Lab Experiment A process of establishing cause and Effect relationship by controlling the effect of confounding variables and manipulating the value of independent variable Controlling Training Performance Past Experience Manipulation Want to study the effect of amount of light Use different amount of light
  • 5. Lab Experiment Different experimental groups will have same value of the confounding variables Matching Randomization All the groups will have randomly assigned members Controlling the Contaminating Effect of Exogenous Variables
  • 6. Experiment or Measure The source of effect is only the variable whose impact we are studying Internal Validity External Validity Generalizing the results to the other settings
  • 7. Internal Validity History Maturation Testing Instrumentation Statistical Regression Selection Bias Mortality External events affect the Response Changes because of passing Time Effect of Taking Test on Subsequent Test Effect of including of Extreme Cases Change in Measuring Instrument Experimental Group is anyway differ from Population Dropping out of the Respondents
  • 8. Internal Validity History External events affect the Response Sales Promotion Sales Dairy Farmer’s Ad Independent Variable Dependent Variable Uncontrollable Variable t1 t2 t3
  • 9. Internal Validity Maturation Changes because of passing Time Enhanced Technology Increase in Efficiency Independent Variable Dependent Variable Uncontrollable Variable t1 t2 t3 Gaining Experience
  • 10. Internal Validity Testing Effect of Taking Test on Subsequent Test First Measure 2nd Measure Dependent Variable t1 t2 t3 Dependent Variable
  • 11. Internal Validity Instrumentation Change in Measuring Instrument First Measure With Method 1 2nd Measure with Method 2 Dependent Variable Dependent Variable t1 t2 t3
  • 12. Internal Validity & External Validity Statistical Regression Population Sample Effect of including of Extreme Cases
  • 13. Internal Validity & External Validity Selection Bias Effect Effect of including those who do not represent the Population Population Sample
  • 14. Internal Validity & External Validity Mortality Dropping subjects from the sample overtime Sample t1 Sample t2 Sample t3
  • 15. Internal Validity Instrumentation Effect Change in the Instrument from Pre to post test Pre Test What is the speed of the participant Post Test How well they followed the rules
  • 16. Types of Experimental Design & Validity Quasi Experimental Design Measure the effect of IV on experimental Group Pretest & Posttest Experimental Group Design Posttest Only With Experimental & Control Groups Time series Design
  • 17. Quasi Experimental Design Pretest & Posttest Experimental Group Design Group Pretest Treatment Posttest Experimental O1 X O2 Control - - - Treatment Group = (O2- O1) Internal Validity History Yes Maturation Yes Testing Yes Instrumentation Statistical Regression Selection Bias Mortality Yes
  • 18. Quasi Experimental Design Posttest only with Experimental & Control Group Group Pretest Treatment Posttest Experimental - X O1 Control - - O2 Treatment Group = (O1- O2) Internal Validity History Yes Maturation Yes Testing Instrumentation Statistical Regression Selection Bias Mortality Yes
  • 19. Quasi Experimental Design Time Series Design Internal Validity History Maturation Testing Instrumentation Statistical Regression Selection Bias Mortality O1 O2 O3 O4 O5 X O6 O7 O8 O9 O10
  • 20. Types of Experimental Design & Validity True Experimental Design It has both control and experimental Group Pre and Post Measure are taken Pretest & Posttest Experimental & Control Group Design Solomon Four Group Design Time series Design
  • 21. True Experimental Design Pretest & Posttest with Experimental & Control Group Group Pretest Treatment Posttest Experimental O1 X O2 Control O3 - O4 Treatment Group = (O2- O1) - (O4- O3) Internal Validity History Controlled Maturation Controlled Testing Controlled Instrumentation Controlled Statistical Regression Controlled Randomization Selection Bias Controlled Randomization Mortality Yes
  • 22. True Experimental Design Solomon Four Group Design Group Pretest Treatment Posttest Experimental O1 X O2 Control O3 - O4 Experimental X O5 Control O6 Treatment Group = (O2 - O1) - (O4 - O3) Internal Validity History Controlled Maturation Controlled Testing Controlled Instrumentation Controlled Statistical Regression Controlled Randomization Selection Bias Controlled Randomization Mortality Yes E = O2 – O1 E = O2 – O4 E = O5 – O6 E = O5 – O3 E = (O2 – O1) – (O4 – O3) If All E are similar the Causal relation is established
  • 23. True Experimental Design Ex Post Facto Design There is no manipulation of independent variable only the subjects who have already been exposed to a stimulus and those who have not been exposed to are compared.
  • 24. Completely Randomized Design Group Before Treatment After G1 O1 X1 O2 G2 O3 X2 O4 G3 O5 X3 O6 Statistical Design
  • 25. Randomized Block Design Blocking Factor Ind Var B1 B2 B3 V1 X1 X1 X1 V2 X2 X2 X2 V3 X3 X3 X3 Statistical Design
  • 26. Latin Square Design (Two Blocking Variables) Blocking Factor1 Blocking Factor2 B11 B12 B13 B21 X1 X1 X1 B22 X2 X2 X2 B23 X3 X3 X3 Statistical Design
  • 27. Factorial Design Ind Var2 Ind Var1 V21 V22 V23 V11 V12 V13 Statistical Design