Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a...

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Moderation: Interpretation David A. Kenny

Transcript of Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a...

Page 1: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Moderation: Interpretation

David A. Kenny

Page 2: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

The Moderated Regression Equation

• Y = aX + bM + cXM + Ea = “main effect” of Xb = “main effect” of Mc = interaction between X and

M • Important to include both X and M

in the model.

Page 3: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Interpretation of the Two Main Effects

a: “main effect” of XThe effect of X when M is zero.

b: “main effect” of MThe effect of M when X is zero.

For these effects to be meaningful, zero must be a meaningful value.

Page 4: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Centering

• Make sure zero in interpretable for X and M.

• If not then center: Compute the grand mean of X and M and subtract it (or something close).

Page 5: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Interpretation of the Interaction Effect (Moderation)

c = the effect of XM

For every one unit change of M, the effect of X (i.e., increases (or decreases) by c units.

Path c represents then how much a changes.

Page 6: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

The Moderated Effect of X on Y

• Y = aX + bM + cXM + E• Y = (a + cM)X + bM + E• The effect of X on Y is equal to a +

cM.• If we set a + cM to zero, then X has

no effect on Y when M = -a/c.

Page 7: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Brief Examplestress level or Shappiness or Hsocio-economic status (C)

H = -2S + 1C + 0.1SC + E

For every one unit change of socioeconomic status, the effect of Stress levels on Happiness weakens by 0.1 units. Note that for C = 20, the effect of stress on happiness is zero.

Page 8: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Other Strategies for Interpretation

•Computing simple effects•Graphing the moderation

Page 9: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Simple Effects

• The effect that X has on Y at different levels of M.

• Sometimes called “pick a point.”• Two ways to compute:• Plug into a + cM the value for M

and solve.• Complicated to obtain a standard

error for this value.

Page 10: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Re-centering

• Mʹ is desired value of M for which a simple effect is desired.

• Re-estimate the moderated regression equation using M - Mʹ for M.

• The new value of a will be the simple effect of X when M = Mʹ.

• Note this gives a p value and a confidence interval.

Page 11: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

What To Do If M Is Continuous?

• Pick two values• Typically one standard deviation

above and below the mean of M.• Make sure the values are possible

values.

Page 12: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

GraphingBetter than simple effects because it displays all of the effects.How?

Compute the least-squares means for each of the four combinations of

two values of Xtwo values of M

Place in the graph.Connect the sets of two points with

a common value of M.

Page 13: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.
Page 14: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Graphing Programs

Paul Jose’s ModGraph http://www.victoria.ac.nz/psyc/paul-jose-files/modgraph/

Andrew Hayes’s ModProbehttp://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html#modprobe

Page 15: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Regions of Significance

• Johnson-Neyman• Potthoff extension

Page 16: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

Regions of Significance

• Useful if M is measured at the interval level of measurement.

• Tells you at what intervals of M is the X Y effect significant.

• It might tell you the when M is at least 5, the effect is positive and significant, but when M is less than 3, the effect is negative and significant.

• Can flip X and M.

Page 17: Moderation: Interpretation David A. Kenny. The Moderated Regression Equation Y = aX + bM + cXM + E a = “main effect” of X b = “main effect” of M c = interaction.

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Additional Webinars

• Assumptions• Effect Size and Power• ModText