• No results found

CAUSAL MEDIATION ANALYSIS

N/A
N/A
Protected

Academic year: 2021

Share "CAUSAL MEDIATION ANALYSIS"

Copied!
24
0
0

Loading.... (view fulltext now)

Full text

(1)

CAUSAL MEDIATION

ANALYSIS

Guanglei Hong

(2)

RESEARCH QUESTIONS

(A) Does the new science curriculum improve student learning?

(3)

RESEARCH QUESTIONS

(B) Does the impact of the new science curriculum on student

learning depend on the effectiveness of professional development?

Curriculum

Student learning

A question about

“moderation”

(4)

RESEARCH QUESTIONS

(C) Does the new science curriculum improve student learning

through improving teachers’ practice?

Curriculum

Student learning Teachers’ practice

(5)

RESEARCH QUESTIONS

(D) Does the new curriculum improve science achievement

through improving teachers’ practice only if teachers have

received effective professional development?

Curriculum

Student learning Teachers’ practice

(6)

PERSISTING CONFUSION ABOUT

Moderation

vs.

Mediation

(7)

WHAT IS

MODERATION

?

A moderation analysis examines for

WHOM

and

under

WHAT CONDITIONS

an intervention

works

It reveals HETEROGENEITY in a relationship, when

a moderator affects its direction or strength

(8)

WHAT IS

MEDIATION

?

A mediator explains an intermediate process that

transmits the intervention impact on an outcome,

A mediation analysis answers the theoretical question of

WHY

Intervention

Intermediate

Outcome

(9)

CAUSAL MEDIATION ANALYSIS

Curriculum

Student learning

Instruction

THEORY (inside the black box)

The new curriculum is designed to improve student learning

through providing additional opportunities during the instruction

for teachers to engage students in the process of scientific inquiry

rather than delivering the scientific content simply as given.

(10)

CAUSAL MEDIATION ANALYSIS

Explicate your theoretical hypotheses for empirical investigation:

o Would the new science curriculum potentially transform instruction?

Curriculum

Student learning

(11)

Potential student learning under new

curriculum with transformed instruction

Potential student learning under current

curriculum with untransformed instruction

Total Effect

(12)

Potential student learning under new curriculum with transformed instruction

Potential student learning under current curriculum

Indirect Effect

Potential student learning under new curriculum yet counterfactually with untransformed

instruction

Direct Effect

(13)

Transformed Untransformed Qu al ity o f In str u ction Untransformed

(14)

TOTAL EFFECT

al ity o f In str u ction

(15)

INDIRECT EFFECT

THROUGH TRANSFORMING INSTRUCTION

Transformed Qu al ity o f In str u ction Untransformed

(16)

DIRECT EFFECT

WITHOUT TRANSFORMING INSTRUCTION

al ity o f In str u ction

(17)

IDENTIFICATION THROUGH POOLING

CONDITIONAL MEAN DIFFERENCE

Transformed Untransformed Qu al ity o f In str u ction Direct Effect Direct Effect Direct Effect Direct Effect Direct Effect

(18)

IDENTIFICATION THROUGH WEIGHTING

al ity o f In str u ction

Direct Effect

• Unconstrained by the scale of measurement • No need to specify an outcome model

(19)

DOES TREATMENT RANDOMIZATION

GUARANTEE CAUSALLY VALID

MEDIATION ANALYSIS?

NO, because the mediator-outcome relationship can be confounded by…

Curriculum

Student learning

Instruction

Teacher motivation and

content knowledge for teaching

Essential to adjust for

selection bias through pooling conditional mean difference or weighting

(20)

SHOULD THE TOTAL EFFECT BE

NONZERO?

Mediation could occur even when the total effect is zero.

The hypothesized mechanism might be offset by unexpected side

effects (e.g., teacher burnout), leading to a cancellation of the

indirect effect and the direct effect

The treatment might be beneficial to some but detrimental to

Curriculum Student learning

(21)

SHOULD THE MEDIATOR-OUTCOME

RELATIONSHIP BE CONSTANT?

• Conventional methods assume that the treatment-mediator relationship “ ” and the mediator-outcome relationship “ ” are both constant; and thus “ ” and “ ” are independent

• This behavioral assumption may not hold because teachers who are more ready to use the new curriculum to transform instruction (a higher value of “ ”) are likely to be the ones who believe transformed instruction

Curriculum Student learning

(22)

SHOULD THE MEDIATOR-OUTCOME

RELATIONSHIP BE CONSTANT?

Conventional methods also assume a constant mediator-outcome

relationship across the treatment conditions

Yet the new curriculum may not only raise the quality of

instruction but also enhance the impact of instruction on learning

Curriculum Student learning

Instruction new curriculum

(23)

MULTISITE CAUSAL MEDIATION ANALYSIS

Curriculum

learning

Instruction

• Composition • Context • Contrast

Between-site variation

in mediation mechanism

(24)

HONG, G. (2015). C AUSALITY IN A SOCIAL WORLD:

MODERATION, MEDIATION AND SPILL -OVER.

References

Related documents

The optimization was based on three figures of merit extracted from measurements on a Jaszczak phantom, the RC of spheres of various diameters, the signal-to- background-noise

Dependent variable, in this study, was tax morale where the variables of religiosity, national pride, and importance of religion, importance of politics,

Jackson Athena Career Academy Adrienne Gurney School Nurse Fall Semester 2014-2015 School Year Jennifer. Jaros Athena Career Academy Adrienne Gurney School Nurse

Communications and technology Cultural differences Language Time zones Long-distance relationships Costs of support Control..

During the 4 years spent monitoring 19 ships, 1074 microbiological samples, 108 before the first course, 168 after the first course, 390 during the period of refresher

A large number of robotic applications are currently using a variant of P systems called Enzymatic Numerical P systems (ENPS) for reactive controlling, but there is a lack of

Escherichia coli, Pseudomonas aeruginosa, Salmonella typhi, Shigella flexineri and Staphylococcus aureus Formulation and standardization of a health drink and a salad.. The

This multi-layer approach has been justified by showing that with enough hidden units and correct initialization, increasing the number of layers improves the lower bound of the