Replication data for: Understanding Interaction Models: Improving Empirical Analyses (doi:10.7910/DVN/B8YKU3)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Replication data for: Understanding Interaction Models: Improving Empirical Analyses

doi:10.7910/DVN/B8YKU3

Harvard Dataverse

2007-11-28

1

Thomas Brambor; William Clark; Matt Golder, 2007, "Replication data for: Understanding Interaction Models: Improving Empirical Analyses", https://doi.org/10.7910/DVN/B8YKU3, Harvard Dataverse, V1, UNF:3:nTWHG8IKZkTzi/aOkRkjgg== [fileUNF]

Replication data for: Understanding Interaction Models: Improving Empirical Analyses

doi:10.7910/DVN/B8YKU3

Thomas Brambor (New York University)

William Clark (University of Michigan)

Matt Golder (Florida State University)

2006

Harvard Dataverse

Matt Golder

2007-07

2007

https://doi.org/10.7910/DVN/B8YKU3

Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress in our understanding of the political world can occur if scholars follow the simple checklist of dos and don’ts for using multiplicative interaction models presented in this article. Only 10% of the articles in our survey followed the checklist.

1998-2002

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Thomas Brambor, William Roberts, Matt Golder. 2004. "Electoral System Choice." Unpublished replication, New York University. <a href= "http://dvn.iq.harvard.edu/dvn/dv/mgolder/faces/study/StudyPage.jsp?studyId=16815" target= "_new">dataverse available here</a> <br /><br /> Thomas Brambor, William Roberts Clark, Matt Golder. 2004. "Gubernatorial and Presidential Coattails in Brazil." Unpublished replication, New York University. <a href= "http://dvn.iq.harvard.edu/dvn/dv/mgolder/faces/study/StudyPage.jsp?studyId=16814" target= "_new">dataverse available here</a>

Thomas Brambor, William Clark, Matt Golder. 2006. "Understanding Interaction Models: Improving Empirical Analyses." Political Analysis 14: 63-82. doi:10.1093/pan/mpi014. <a href="http://homepages.nyu.edu/%7Emrg217/pa_final.pdf" target= "_new">article available here</a>

Thomas Brambor, William Clark, Matt Golder. 2006. "Understanding Interaction Models: Improving Empirical Analyses." Political Analysis 14: 63-82. doi:10.1093/pan/mpi014. <a href="http://homepages.nyu.edu/%7Emrg217/pa_final.pdf" target= "_new">article available here</a>

• Number of cases: 169

• No. of variables per record: 14

• Type of File: text/tab-separated-values

UNF:3:nTWHG8IKZkTzi/aOkRkjgg==

Complete list of articles found by authors that employed interaction models of one variety or another

• year
• journal
• issue
• authors
• omitted_term
• interactionterm - interaction term
• omission
• omissionpage
• interpretconstitutive
• unconditionaleffect
• unconditionaleffectpage
• range
• standarderror - standard error
• nomention

f648862 Location:

Variable Format: numeric

Notes: UNF:3:6QTFotJrYJSJ0HeBSJ7Q1Q==

f648862 Location:

Variable Format: character

Notes: UNF:3:EWwcKLlgTK6vPUPy6Zl3ig==

f648862 Location:

Variable Format: character

Notes: UNF:3:k/ZsxAj/JF2baIh75UPMVg==

f648862 Location:

Variable Format: character

Notes: UNF:3:2oj4DQSQCcyRdCnJs0EtOw==

f648862 Location:

Variable Format: character

Notes: UNF:3:Rs8K2cgto8mWa146wfTggA==

f648862 Location:

Variable Format: character

Notes: UNF:3:WuRx5CowVsKXTdpy77oa7Q==

f648862 Location:

Variable Format: character

Notes: UNF:3:afVk6YNspCR2cs1A5OFMJA==

f648862 Location:

Variable Format: character

Notes: UNF:3:h9JQBa6Lv9qGVbvu7p32MQ==

f648862 Location:

Variable Format: character

Notes: UNF:3:Sp+7PA0AWql8q3EItP6mdw==

f648862 Location:

Variable Format: numeric

Notes: UNF:3:CSodwdVjecOHgzZAYUmrRw==

f648862 Location:

Variable Format: character

Notes: UNF:3:NvGd06jcB1H2nvi17Dw2/w==

f648862 Location:

Variable Format: numeric

Notes: UNF:3:hN7zGMdXRofbkfdp2olQRA==

f648862 Location:

Variable Format: numeric

Notes: UNF:3:Cw9JNaUGowgwcNnfVmyoUQ==

f648862 Location:

Variable Format: numeric

Notes: UNF:3:H3b79nHArssrmmt+0w9frA==

Label:

Interactionterms3.zip

Text:

Data file in spss file format

application/zip

Label:

Limited.do

Text:

Limited Dependent Variable with Single Modifying Variable computer code

text/x-stata-syntax; charset=US-ASCII

Label:

Limited.pdf

Text:

Detailed description of the 'Limited Dependent Variable with Single Modifying Variable' computer code

application/pdf

Label:

Readme.pdf

Text:

Important information about this study

application/pdf

Label:

Singlemodifyingvariable.do

Text:

Continuous Dependent Variable with Single Modifying Variable computer code

text/x-stata-syntax; charset=US-ASCII

Label:

Singlemodifyingvariable.pdf

Text:

Detailed description of 'Continuous Dependent Variable with Single Modifying Variable' computer code

application/pdf

Label:

Standarderrors.pdf

Text:

Two tables illustrating a variety of multiplicative interaction models, marginal effects, and variances. The tables are based on those in Aiken and West (1991)

application/pdf

Label:

Twomodifyingvariables.do

Text:

Continuous Dependent Variable with Two Modifying Variables

text/x-stata-syntax; charset=US-ASCII

Label:

Twomodifyingvariables.pdf

Text:

Detailed description of 'Continuous Dependent Variable with Two Modifying Variables' computer code

application/pdf