(Page 29 of 41) - Learning About Presidential Primary Candidates: Campaign Advertising , Learning, and Recall authored by Rice, Laurie.

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Learning About Presidential Primary Candidates: Campaign Advertising , Learning, and Recall

Unformatted Document Text: 28 Table 1: Effects on Learning at T1 and T2 T1 Correctly identified which candidate governor Correctly identified which candidate senator Correctly identified which candidate former POW Correctly identified positions on flat tax Correctly identified positions on soft money ban Correctly identified positions on gun show checks Age .028*** (.003) .022*** (.003) .024*** (.003) .003 (.002) .003 (.002) -.007*** (.002) Education .207*** (.027) .169*** (.021) .161*** (.023) .072*** (.019) .090*** (.019) -.005 (.017) Income .224*** (.029) .199*** (.024) .232*** (.025) .090*** (.021) .129*** (.021) .023 (.020) Republican .379*** (.126) .338*** (.099) .353*** (.106) .152* (.083) .091 (.086) -.105 (.078) Very Interested in Campaign .912*** (.170) 1.225*** (.137) 1.254*** (.152) .298*** (.092) 1.238*** (.110) .388*** (.088) Weeks before primary -.023 (.034) -.051 (.034) -.144*** (.037) .207*** (.030) -.161*** (.030) -.080*** (.028) Ads .002*** (.001) .001(*) (.001) .004*** (.001) .000 (.000) .000 (.000) .000 (.000) News .005 (.020) .011 (.019) -.016 (.020) -.107*** (.025) -.000 (.025) .021 (.023) Constant -1.859*** (.429) -2.015*** (.415 -1.202 (.445) -1.544*** (.408) -.139 (.409) .544 (.384) Log Likelihood -1249.982 -1698.404 -1549.495 -2056.702 -2001.502 -2260.796 N 3333 3333 3333 3333 3333 3333 T2 Age .021*** (.004) .026*** (.003) .022*** (.004) -.003 (.002) -.005* (.003) -.012*** (.002) Education .231*** (.030) .231*** (.025) .252*** (.029) -.030(*) (.018) .110*** (.022) .016 (.018) Income .240*** (.032) .215*** (.027) .220*** (.030) .098*** (.021) .155*** (.024) .026 (.021) Republican .402*** (.145) .311*** (.114) .564*** (.141) -.028 (.081) .167* (.101) -.015 (.082) Very Interested in Campaign 1.025*** (.205) 1.158*** (.163) 1.175*** (.201) -.096 (.092) 1.304*** (.145) .259*** (.093) Weeks after primary -.014 (.109) -.215*** (.079) -.091 (.089) -.188*** (.074) -.111 (.084) -.015 (.074) Ads .000 (.004) -.003 (.004) .002 (.004) .000 (.001) .001 (.002) -.001 (.001) News .013 (.031) -.034 (.022) .004 (.025) -.041*** (.014) -.007 (.016) -.003 (.014) Constant -1.435*** (.257) -2.071*** (.209) -1.739*** (.231) -.607*** (.175) -.145 (.199) .999*** (.176) Log Likelihood -1058.877 -1422.552 -1146.425 -2149.711 -1657.674 -2145.406 N 3382 3382 3382 3382 3382 3382

Authors: Rice, Laurie.

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28

Table 1: Effects on Learning at T1 and T2

T1
Correctly

identified
which
candidate
governor

Correctly
identified
which
candidate
senator

Correctly
identified
which
candidate
former POW

Correctly
identified
positions on
flat tax

Correctly
identified
positions on
soft money
ban

Correctly
identified
positions on
gun show
checks

Age .028***

(.003)

.022***
(.003)

.024***
(.003)

.003
(.002)

.003
(.002)

-.007***
(.002)

Education .207***

(.027)

.169***
(.021)

.161***
(.023)

.072***
(.019)

.090***
(.019)

-.005
(.017)

Income .224***

(.029)

.199***
(.024)

.232***
(.025)

.090***
(.021)

.129***
(.021)

.023
(.020)

Republican .379***

(.126)

.338***
(.099)

.353***
(.106)

.152*
(.083)

.091
(.086)

-.105
(.078)

Very
Interested in
Campaign

.912***
(.170)

1.225***
(.137)

1.254***
(.152)

.298***
(.092)

1.238***
(.110)

.388***
(.088)

Weeks
before
primary

-.023
(.034)

-.051
(.034)

-.144***
(.037)

.207***
(.030)

-.161***
(.030)

-.080***
(.028)

Ads .002***

(.001)

.001(*)
(.001)

.004***
(.001)

.000
(.000)

.000
(.000)

.000
(.000)

News .005

(.020)

.011
(.019)

-.016
(.020)

-.107***
(.025)

-.000
(.025)

.021
(.023)

Constant -1.859***

(.429)

-2.015***
(.415

-1.202
(.445)

-1.544***
(.408)

-.139
(.409)

.544
(.384)

Log
Likelihood

-1249.982 -1698.404 -1549.495 -2056.702 -2001.502 -2260.796

N

3333 3333 3333 3333 3333 3333

T2
Age .021***

(.004)

.026***
(.003)

.022***
(.004)

-.003
(.002)

-.005*
(.003)

-.012***
(.002)

Education .231***

(.030)

.231***
(.025)

.252***
(.029)

-.030(*)
(.018)

.110***
(.022)

.016
(.018)

Income .240***

(.032)

.215***
(.027)

.220***
(.030)

.098***
(.021)

.155***
(.024)

.026
(.021)

Republican .402***

(.145)

.311***
(.114)

.564***
(.141)

-.028
(.081)

.167*
(.101)

-.015
(.082)

Very
Interested in
Campaign

1.025***
(.205)

1.158***
(.163)

1.175***
(.201)

-.096
(.092)

1.304***
(.145)

.259***
(.093)

Weeks after
primary

-.014
(.109)

-.215***
(.079)

-.091
(.089)

-.188***
(.074)

-.111
(.084)

-.015
(.074)

Ads .000

(.004)

-.003
(.004)

.002
(.004)

.000
(.001)

.001
(.002)

-.001
(.001)

News .013

(.031)

-.034
(.022)

.004
(.025)

-.041***
(.014)

-.007
(.016)

-.003
(.014)

Constant -1.435***

(.257)

-2.071***
(.209)

-1.739***
(.231)

-.607***
(.175)

-.145
(.199)

.999***
(.176)

Log
Likelihood

-1058.877 -1422.552 -1146.425 -2149.711 -1657.674 -2145.406

N

3382 3382 3382 3382 3382 3382

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