1 Unweighted responses

These sample sizes are larger because the questions were at the beginning of the survey.

All respondents-registration status
Var1 Freq
No 93
Yes 594
All respondents
Var1 Freq
No 0.1353712
Yes 0.8646288
All respondents-registration mode
Var1 Freq
I’m not sure 47
I am not registered to vote 90
I registered in-person at a state or local election office 102
I registered online 356
I registered through the mail 63
I was registered through the automatic voter registration program 30
All respondents
Var1 Freq
I’m not sure 0.0683140
I am not registered to vote 0.1308140
I registered in-person at a state or local election office 0.1482558
I registered online 0.5174419
I registered through the mail 0.0915698
I was registered through the automatic voter registration program 0.0436047
All respondents-voting intention
Var1 Freq
Certain to vote/Already voted 376
Do not know 36
Will not vote 22
Will probably not vote 46
Will probably vote 206
All respondents
Var1 Freq
Certain to vote/Already voted 0.5481050
Do not know 0.0524781
Will not vote 0.0320700
Will probably not vote 0.0670554
Will probably vote 0.3002915

2 Voting Questions-weighted responses

The data set used for these tables contains 547 responses. Students who did not report their county, sex, or race were filtered out, as they could not have their responses weighted.

mean SE
REGNo 0.1135746 0.016065
REGYes 0.8864254 0.016065
mean SE
AUTOI’m not sure 0.0628579 0.0113210
AUTOI am not registered to vote 0.1067812 0.0152793
AUTOI registered in-person at a state or local election office 0.1576482 0.0172340
AUTOI registered online 0.5367985 0.0234268
AUTOI registered through the mail 0.0859134 0.0133521
AUTOI was registered through the automatic voter registration program 0.0500006 0.0107173
mean SE
ADDRESSSome other address 0.0414495 0.0111479
ADDRESSWhere I live at school 0.1032490 0.0148845
ADDRESSWhere I live permanently 0.8553015 0.0178115
mean SE
MODEBy mail: I will mail (or have already mailed) in my ballot, or I will submit my mail ballot in person at an Election Center. 0.3398226 0.0227103
MODEIn person: I will visit a polling place on Election Day. 0.6601774 0.0227103
mean SE
PARTYDemocrat 0.4906753 0.0233995
PARTYDemocratic Socialist 0.0999777 0.0129568
PARTYGreen 0.0114776 0.0056555
PARTYLibertarian 0.0081731 0.0040916
PARTYNone (no affiliation) 0.2009139 0.0196370
PARTYOther 0.0353452 0.0084094
PARTYRepublican 0.1534371 0.0160545
mean SE
IDEOConservative 0.1442580 0.0166759
IDEOLiberal 0.5953551 0.0239996
IDEOModerate 0.2603869 0.0219821
mean SE
VOTENOVCertain to vote/Already voted 0.5906880 0.0230020
VOTENOVDo not know 0.0398274 0.0084365
VOTENOVWill not vote 0.0228161 0.0072572
VOTENOVWill probably not vote 0.0458714 0.0090842
VOTENOVWill probably vote 0.3007971 0.0216643
mean SE
VOTEGOVDo not know 0.1615934 0.0176387
VOTEGOVJosh Shapiro (D) 0.7150281 0.0212571
VOTEGOVOther 0.0273937 0.0089386
VOTEGOVStacy Garrity (R) 0.0959848 0.0128448
##        counts SE
## counts    550  0
mean SE
VOTEGOVDo not know 0.1321346 0.0173707
VOTEGOVJosh Shapiro (D) 0.7376714 0.0218730
VOTEGOVOther 0.0260573 0.0088908
VOTEGOVStacy Garrity (R) 0.1041367 0.0142235
##        counts SE
## counts    492  0
mean SE
LEANGOVI really don’t know 0.6265142 0.0568925
LEANGOVJosh Shapiro (D) 0.2869223 0.0530718
LEANGOVStacy Garrity (R) 0.0865635 0.0310678
mean SE
VOTECONDemocratic candidate 0.7070546 0.0211330
VOTECONDo not know 0.1304419 0.0159809
VOTECONOther 0.0272084 0.0085463
VOTECONRepublican candidate 0.1352951 0.0150125

3 Polarization (feelings thermometer)

Favorability toward Republicans
mean POL_1
POL_1 33.23045 1.387887
Favorability toward Democrats
mean POL_2
POL_2 55.72771 1.222851
Favorability toward U.S. Congress
mean POL_3
POL_3 33.50318 0.9401312
Favorability toward U.S. President
mean POL_4
POL_4 23.80785 1.831353
Favorability toward SCOTUS
mean POL_5
POL_5 35.9188 1.200127
mean SE
RATEGOVA poor job 0.0844388 0.0132020
RATEGOVDo not know 0.1343787 0.0166005
RATEGOVExcellent job 0.1229937 0.0150103
RATEGOVGood job 0.4335238 0.0231335
RATEGOVOnly a fair job 0.2246651 0.0195217
mean SE
RATEPRESA poor job 0.8389495 0.0162622
RATEPRESDo not know 0.0066936 0.0037108
RATEPRESExcellent job 0.0180525 0.0056228
RATEPRESGood job 0.0549071 0.0094321
RATEPRESOnly a fair job 0.0813974 0.0124488

4 Extremism questions

Confidence in free and fair election
mean SE
EXTSCALE_1Neither agree nor disagree 0.1618299 0.0174407
EXTSCALE_1Somewhat agree 0.3441429 0.0221636
EXTSCALE_1Somewhat disagree 0.2483427 0.0199366
EXTSCALE_1Strongly agree 0.1212019 0.0146904
EXTSCALE_1Strongly disagree 0.1244826 0.0166532
Decisions without consulting others
mean SE
EXTSCALE_2Neither agree nor disagree 0.0451877 0.0096455
EXTSCALE_2Somewhat agree 0.0289187 0.0082511
EXTSCALE_2Somewhat disagree 0.1118899 0.0139120
EXTSCALE_2Strongly agree 0.0042455 0.0024766
EXTSCALE_2Strongly disagree 0.8097582 0.0178809
Non-democratic govt
mean SE
EXTSCALE_3Neither agree nor disagree 0.1997211 0.0179110
EXTSCALE_3Somewhat agree 0.1541114 0.0170211
EXTSCALE_3Somewhat disagree 0.1872513 0.0186898
EXTSCALE_3Strongly agree 0.0361923 0.0084532
EXTSCALE_3Strongly disagree 0.4227238 0.0233212
Power concentration guarantees order
mean SE
EXTSCALE_4Neither agree nor disagree 0.1211055 0.0150470
EXTSCALE_4Somewhat agree 0.0470093 0.0099017
EXTSCALE_4Somewhat disagree 0.1341555 0.0158311
EXTSCALE_4Strongly agree 0.0051047 0.0030884
EXTSCALE_4Strongly disagree 0.6926249 0.0214601
close media outlets
mean SE
EXTSCALE_5Neither agree nor disagree 0.1298764 0.0154994
EXTSCALE_5Somewhat agree 0.0258784 0.0069773
EXTSCALE_5Somewhat disagree 0.0766719 0.0118566
EXTSCALE_5Strongly agree 0.0105454 0.0040495
EXTSCALE_5Strongly disagree 0.7570280 0.0195556
violence to maintain order
mean SE
EXTSCALE_6Neither agree nor disagree 0.1018583 0.0139694
EXTSCALE_6Somewhat agree 0.0693066 0.0118322
EXTSCALE_6Somewhat disagree 0.1618185 0.0169653
EXTSCALE_6Strongly agree 0.0228324 0.0068001
EXTSCALE_6Strongly disagree 0.6441842 0.0222686

5 Issues

Abortion
mean SE
ISSUES_1Not at all important 0.0488640 0.0110260
ISSUES_1Not too important 0.0742496 0.0133898
ISSUES_1Somewhat important 0.1984607 0.0188485
ISSUES_1Very important 0.6784257 0.0224059
Economy
mean SE
ISSUES_2Not at all important 0.0060880 0.0035572
ISSUES_2Not too important 0.0164140 0.0050718
ISSUES_2Somewhat important 0.1982311 0.0179878
ISSUES_2Very important 0.7792669 0.0186579
Climate Change
mean SE
ISSUES_3Not at all important 0.0447530 0.0092535
ISSUES_3Not too important 0.0852754 0.0128561
ISSUES_3Somewhat important 0.2049693 0.0186685
ISSUES_3Very important 0.6650023 0.0218648
Healthcare
mean SE
ISSUES_4Not at all important 0.0069599 0.0041265
ISSUES_4Not too important 0.0307412 0.0082918
ISSUES_4Somewhat important 0.1480793 0.0158833
ISSUES_4Very important 0.8142195 0.0177030
Racial/Ethnic Issues
mean SE
ISSUES_5Not at all important 0.0690541 0.0128614
ISSUES_5Not too important 0.0727638 0.0118327
ISSUES_5Somewhat important 0.2001063 0.0181631
ISSUES_5Very important 0.6580758 0.0221014
Education
mean SE
ISSUES_6Not at all important 0.0031436 0.0022229
ISSUES_6Not too important 0.0143564 0.0057625
ISSUES_6Somewhat important 0.1415878 0.0162915
ISSUES_6Very important 0.8409123 0.0171023
Immigration
mean SE
ISSUES_7Not at all important 0.0229219 0.0065525
ISSUES_7Not too important 0.1305624 0.0164056
ISSUES_7Somewhat important 0.2649094 0.0205176
ISSUES_7Very important 0.5816063 0.0231325
Gun Policy
mean SE
ISSUES_8Not at all important 0.0227643 0.0067506
ISSUES_8Not too important 0.0967644 0.0139555
ISSUES_8Somewhat important 0.3318493 0.0219388
ISSUES_8Very important 0.5486220 0.0232620
SCOTUS Appointments
mean SE
ISSUES_9Not at all important 0.0361820 0.0088449
ISSUES_9Not too important 0.1599945 0.0174229
ISSUES_9Somewhat important 0.4124024 0.0230224
ISSUES_9Very important 0.3914211 0.0228540
Energy Policy
mean SE
ISSUES_10Not at all important 0.0124790 0.0047650
ISSUES_10Not too important 0.1003596 0.0135381
ISSUES_10Somewhat important 0.3952879 0.0230905
ISSUES_10Very important 0.4918734 0.0233857
Violent Crime
mean SE
ISSUES_11Not at all important 0.0141282 0.0067138
ISSUES_11Not too important 0.0764883 0.0121685
ISSUES_11Somewhat important 0.3300484 0.0220600
ISSUES_11Very important 0.5793350 0.0231740
Election Laws/Policies
mean SE
ISSUES_12Not at all important 0.0147147 0.0063565
ISSUES_12Not too important 0.0796255 0.0114121
ISSUES_12Somewhat important 0.3505184 0.0225126
ISSUES_12Very important 0.5551415 0.0232981
Electoral College
mean SE
ISSUES_13Not at all important 0.0632206 0.0109127
ISSUES_13Not too important 0.1666377 0.0176032
ISSUES_13Somewhat important 0.4206330 0.0230776
ISSUES_13Very important 0.3495086 0.0226075
LGBTQIA+ Issues
mean SE
ISSUES_14Not at all important 0.1417335 0.0165732
ISSUES_14Not too important 0.1128816 0.0143550
ISSUES_14Somewhat important 0.2109698 0.0193978
ISSUES_14Very important 0.5344151 0.0233637
Foreign Policy
mean SE
ISSUES_15Not at all important 0.0131763 0.0058524
ISSUES_15Not too important 0.0998428 0.0137146
ISSUES_15Somewhat important 0.3905397 0.0227644
ISSUES_15Very important 0.4964411 0.0234233

6 Demographics

Var1 Freq
Adams 0.0054545
Allegheny 0.0363636
Armstrong 0.0109091
Beaver 0.0072727
Bedford 0.0018182
Berks 0.0418182
Blair 0.0018182
Bradford 0.0163636
Bucks 0.0400000
Butler 0.0309091
Cambria 0.0090909
Carbon 0.0090909
Centre 0.0200000
Chester 0.1272727
Clarion 0.0072727
Clearfield 0.0145455
Clinton 0.0072727
Columbia 0.0218182
Crawford 0.0127273
Cumberland 0.0181818
Dauphin 0.0090909
Delaware 0.0490909
Elk 0.0036364
Erie 0.0218182
Fayette 0.0218182
Franklin 0.0054545
Fulton 0.0018182
Greene 0.0036364
Huntingdon 0.0036364
Indiana 0.0218182
Jefferson 0.0018182
Juniata 0.0036364
Lackawanna 0.0090909
Lancaster 0.0400000
Lawrence 0.0090909
Lebanon 0.0127273
Lehigh 0.0290909
Luzerne 0.0127273
Lycoming 0.0109091
McKean 0.0018182
Mercer 0.0036364
Mifflin 0.0072727
Monroe 0.0127273
Montgomery 0.0600000
Montour 0.0054545
Northampton 0.0181818
Northumberland 0.0127273
Perry 0.0036364
Philadelphia 0.0236364
Pike 0.0109091
Schuylkill 0.0018182
Snyder 0.0018182
Somerset 0.0018182
Susquehanna 0.0018182
Tioga 0.0090909
Union 0.0036364
Venango 0.0163636
Washington 0.0127273
Wayne 0.0036364
Westmoreland 0.0236364
Wyoming 0.0018182
York 0.0509091
Var1 Freq
No 0.6593807
Yes 0.3406193
Var1 Freq
Female 0.5636364
Gender Variant/Non-conforming 0.0545455
Male 0.3272727
Not listed 0.0109091
Prefer not to answer 0.0127273
Transgender Female 0.0090909
Transgender Male 0.0218182
Var1 Freq
Female 0.64
Male 0.36
Var1 Freq
Asian 0.0127273
Black or African American 0.0636364
Hispanic 0.0490909
Other 0.0327273
White 0.8418182
Var1 Freq
Allegheny 0.0363636
Central 0.2072727
Dutch 0.1872727
Northeast 0.1109091
Philadelphia 0.0236364
Southeast 0.2763636
West 0.1581818
Var1 Freq
I’m still thinking about it. 0.0327869
I am already registered to vote. 0.8743169
No, I do not want to register. 0.0218579
Yes! I will register to vote. 0.0710383
Var1 Freq
Allegheny 0.0363636
Central 0.2072727
Dutch 0.1872727
Northeast 0.1109091
Philadelphia 0.0236364
Southeast 0.2763636
West 0.1581818
Var1 Freq
Commonwealth-Bloomsburg 48
Commonwealth-Lock Haven 21
Commonwealth-Mansfield 16
East Stroudsburg 24
Indiana 54
Kutztown 51
Millersville 53
PennWest-California 24
PennWest-Clarion 15
PennWest-Edinboro 13
Shippensburg 11
Slippery Rock 62
West Chester 155

7 Extremism by Sex

Confidence in free and fair election
Female Male
Neither agree nor disagree 0.189 0.123
Somewhat agree 0.317 0.380
Somewhat disagree 0.275 0.210
Strongly agree 0.089 0.166
Strongly disagree 0.130 0.117
NA 0.000 0.004
Decisions with consulting others
Female Male
Neither agree nor disagree 0.034 0.061
Somewhat agree 0.033 0.023
Somewhat disagree 0.098 0.131
Strongly agree 0.002 0.007
Strongly disagree 0.832 0.773
NA 0.002 0.004
Non-democratic govt
Female Male
Neither agree nor disagree 0.264 0.106
Somewhat agree 0.149 0.159
Somewhat disagree 0.175 0.202
Strongly agree 0.026 0.050
Strongly disagree 0.382 0.474
NA 0.004 0.008
Power concentration guarantees order
Female Male
Neither agree nor disagree 0.145 0.087
Somewhat agree 0.048 0.045
Somewhat disagree 0.097 0.186
Strongly agree 0.002 0.010
Strongly disagree 0.709 0.667
NA 0.000 0.004
close media outlets
Female Male
Neither agree nor disagree 0.189 0.047
Somewhat agree 0.024 0.029
Somewhat disagree 0.081 0.070
Strongly agree 0.009 0.012
Strongly disagree 0.695 0.839
NA 0.002 0.004
violence to maintain order
Female Male
Neither agree nor disagree 0.081 0.130
Somewhat agree 0.046 0.101
Somewhat disagree 0.152 0.175
Strongly agree 0.004 0.049
Strongly disagree 0.717 0.537
NA 0.000 0.008

8 Issues by Party

abortion
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.028 0.000 0.000 0.234 0.103 0.000 0.081
Not too important 0.039 0.016 0.614 0.000 0.116 0.087 0.130
Somewhat important 0.159 0.128 0.136 0.255 0.291 0.188 0.250
Very important 0.774 0.857 0.251 0.511 0.489 0.638 0.539
NA 0.000 0.000 0.000 0.000 0.000 0.087 0.000
economy
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.009 0.000 0.000 0.00 0.000 0.045 0.000
Not too important 0.015 0.038 0.000 0.00 0.021 0.000 0.007
Somewhat important 0.196 0.226 0.245 0.52 0.195 0.106 0.192
Very important 0.780 0.736 0.755 0.48 0.785 0.849 0.801
climate
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.005 0.000 0 0.234 0.031 0.172 0.182
Not too important 0.038 0.000 0 0.000 0.038 0.086 0.365
Somewhat important 0.186 0.048 0 0.255 0.295 0.042 0.302
Very important 0.772 0.952 1 0.511 0.636 0.700 0.150
heathcare
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.000 0.00 0.000 0.234 0.000 0.000 0.033
Not too important 0.021 0.00 0.000 0.000 0.016 0.054 0.102
Somewhat important 0.094 0.05 0.245 0.255 0.122 0.090 0.418
Very important 0.885 0.95 0.755 0.511 0.862 0.856 0.447
racial issues
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.014 0.000 0.000 0.234 0.058 0.181 0.274
Not too important 0.034 0.034 0.000 0.000 0.058 0.039 0.258
Somewhat important 0.139 0.180 0.749 0.255 0.286 0.132 0.266
Very important 0.809 0.785 0.251 0.511 0.598 0.648 0.203
NA 0.004 0.000 0.000 0.000 0.000 0.000 0.000
Education
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.000 0.000 0 0.000 0.008 0.000 0.010
Not too important 0.008 0.000 0 0.234 0.017 0.054 0.020
Somewhat important 0.090 0.019 0 0.000 0.142 0.045 0.426
Very important 0.902 0.981 1 0.766 0.832 0.901 0.543
immigration
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.009 0.061 0.245 0.000 0.041 0.045 0.000
Not too important 0.148 0.161 0.369 0.000 0.128 0.089 0.057
Somewhat important 0.238 0.222 0.000 0.255 0.303 0.173 0.368
Very important 0.606 0.556 0.386 0.745 0.529 0.648 0.574
NA 0.000 0.000 0.000 0.000 0.000 0.045 0.000
gun policy
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.017 0.021 0.000 0.000 0.026 0.054 0.034
Not too important 0.066 0.102 0.365 0.255 0.071 0.173 0.179
Somewhat important 0.262 0.403 0.369 0.234 0.404 0.434 0.392
Very important 0.655 0.474 0.266 0.511 0.499 0.339 0.395
SCOTUS appts
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.029 0.044 0.000 0.000 0.056 0.000 0.040
Not too important 0.129 0.101 0.136 0.255 0.235 0.167 0.188
Somewhat important 0.401 0.373 0.489 0.745 0.363 0.362 0.513
Very important 0.430 0.482 0.376 0.000 0.346 0.471 0.259
NA 0.010 0.000 0.000 0.000 0.000 0.000 0.000
energy policy
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.005 0.000 0 0.000 0.027 0.000 0.030
Not too important 0.082 0.049 0 0.000 0.080 0.141 0.223
Somewhat important 0.411 0.259 0 0.774 0.448 0.207 0.416
Very important 0.502 0.692 1 0.226 0.445 0.652 0.331
violent crime
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.016 0.000 0.000 0.000 0.023 0.045 0.000
Not too important 0.071 0.156 0.245 0.000 0.091 0.086 0.010
Somewhat important 0.330 0.523 0.369 0.489 0.256 0.234 0.307
Very important 0.577 0.321 0.386 0.511 0.630 0.636 0.683
NA 0.006 0.000 0.000 0.000 0.000 0.000 0.000
election laws
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.005 0.000 0.000 0.000 0.046 0.000 0.020
Not too important 0.078 0.067 0.000 0.234 0.057 0.039 0.127
Somewhat important 0.326 0.272 0.749 0.285 0.382 0.435 0.384
Very important 0.581 0.661 0.251 0.480 0.516 0.526 0.470
NA 0.010 0.000 0.000 0.000 0.000 0.000 0.000
Electoral college
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.060 0.030 0.136 0.234 0.066 0.099 0.066
Not too important 0.163 0.182 0.000 0.000 0.196 0.112 0.160
Somewhat important 0.425 0.296 0.365 0.511 0.439 0.331 0.469
Very important 0.352 0.474 0.499 0.000 0.299 0.458 0.298
NA 0.000 0.018 0.000 0.255 0.000 0.000 0.007
LGBTQ
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.042 0.019 0.000 0.234 0.106 0.220 0.577
Not too important 0.078 0.016 0.000 0.000 0.161 0.204 0.219
Somewhat important 0.198 0.186 0.749 0.226 0.322 0.103 0.106
Very important 0.683 0.779 0.251 0.540 0.411 0.473 0.098
foreign policy
Democrat Democratic Socialist Green Libertarian None (no affiliation) Other Republican
Not at all important 0.016 0.000 0.000 0.000 0.019 0.000 0.010
Not too important 0.084 0.117 0.000 0.234 0.146 0.045 0.090
Somewhat important 0.386 0.379 0.256 0.285 0.439 0.223 0.401
Very important 0.511 0.505 0.744 0.480 0.396 0.732 0.499
NA 0.003 0.000 0.000 0.000 0.000 0.000 0.000

9 Top issues

Republicans
mean SE
feel_cat1Very cool 0.3203974 0.0252965
feel_cat1Cool 0.2824390 0.0238966
feel_cat1Neutral 0.2152769 0.0220180
feel_cat1Warm 0.1214620 0.0163739
feel_cat1Very warmly 0.0604247 0.0117634
Democrats
mean SE
feel_cat2Very cool 0.0728808 0.0128653
feel_cat2Cool 0.1480784 0.0173255
feel_cat2Neutral 0.2428528 0.0206931
feel_cat2Warm 0.4258651 0.0239143
feel_cat2Very warmly 0.1103229 0.0150248
US Congress
mean SE
feel_cat3Very cool 0.2040582 0.0215265
feel_cat3Cool 0.3194075 0.0234248
feel_cat3Neutral 0.3798357 0.0241349
feel_cat3Warm 0.0904259 0.0137292
feel_cat3Very warmly 0.0062726 0.0031762
President
mean SE
feel_cat4Very cool 0.5554432 0.0331712
feel_cat4Cool 0.1594085 0.0259311
feel_cat4Neutral 0.1114608 0.0191226
feel_cat4Warm 0.1357559 0.0216105
feel_cat4Very warmly 0.0379316 0.0111847
SCOTUS
mean SE
feel_cat5Very cool 0.2451560 0.0227676
feel_cat5Cool 0.2673019 0.0231313
feel_cat5Neutral 0.3060200 0.0236830
feel_cat5Warm 0.1512792 0.0179449
feel_cat5Very warmly 0.0302429 0.0088195
Governor by Region
Do not know Josh Shapiro (D) Other Stacy Garrity (R)
Allegheny 0.1165066 0.8305647 0.0000000 0.0529287
Central 0.1821916 0.6314895 0.0099482 0.1763708
Dutch 0.1523508 0.7018272 0.0462152 0.0996067
Northeast 0.1211638 0.8074789 0.0123471 0.0590103
Philadelphia 0.1638012 0.7678612 0.0683376 0.0000000
Southeast 0.1654378 0.7170716 0.0328130 0.0846776
West 0.2034371 0.6649070 0.0250191 0.1066368
Congress by Region
Democratic candidate Do not know Other Republican candidate
Allegheny 0.8941426 0.0529287 0.0529287 0.0000000
Central 0.6055990 0.1513843 0.0109109 0.2321058
Dutch 0.6842258 0.1226165 0.0409330 0.1522247
Northeast 0.8116814 0.0541993 0.0000000 0.1341193
Philadelphia 0.6723976 0.3276024 0.0000000 0.0000000
Southeast 0.7344476 0.1272774 0.0436929 0.0945821
West 0.6359179 0.1713758 0.0250191 0.1676872
Voting mode by Party
By mail: I will mail (or have already mailed) in my ballot, or I will submit my mail ballot in person at an Election Center. In person: I will visit a polling place on Election Day.
Democrat 0.3920791 0.6079209
Democratic Socialist 0.3576643 0.6423357
Green 0.5042324 0.4957676
Libertarian 0.0000000 1.0000000
None (no affiliation) 0.3276125 0.6723875
Other 0.2049204 0.7950796
Republican 0.2105795 0.7894205
---
title: "Ram Poll 2026"
author: ""
date: ""
output:
  html_document: 
    toc: yes
    toc_depth: 4
    toc_float: yes
    number_sections: yes
    toc_collapsed: yes
    code_folding: hide
    code_download: yes
    smooth_scroll: yes
    theme: lumen
  pdf_document: 
    toc: yes
    toc_depth: 4
    fig_caption: yes
    number_sections: yes
    fig_width: 3
    fig_height: 3
  word_document: 
    toc: yes
    toc_depth: 4
    fig_caption: yes
    keep_md: yes
editor_options: 
  chunk_output_type: inline
---

```{css, echo = FALSE}
#TOC::before {
  content: "Table of Contents";
  font-weight: bold;
  font-size: 1.2em;
  display: block;
  color: navy;
  margin-bottom: 10px;
}


div#TOC li {     /* table of content  */
    list-style:upper-roman;
    background-image:none;
    background-repeat:none;
    background-position:0;
}

h1.title {    /* level 1 header of title  */
  font-size: 22px;
  font-weight: bold;
  color: DarkRed;
  text-align: center;
  font-family: "Gill Sans", sans-serif;
}

h4.author { /* Header 4 - and the author and data headers use this too  */
  font-size: 15px;
  font-weight: bold;
  font-family: system-ui;
  color: navy;
  text-align: center;
}

h4.date { /* Header 4 - and the author and data headers use this too  */
  font-size: 18px;
  font-weight: bold;
  font-family: "Gill Sans", sans-serif;
  color: DarkBlue;
  text-align: center;
}

h1 { /* Header 1 - and the author and data headers use this too  */
    font-size: 20px;
    font-weight: bold;
    font-family: "Times New Roman", Times, serif;
    color: darkred;
    text-align: left;
}

h2 { /* Header 2 - and the author and data headers use this too  */
    font-size: 18px;
    font-weight: bold;
    font-family: "Times New Roman", Times, serif;
    color: navy;
    text-align: left;
}

h3 { /* Header 3 - and the author and data headers use this too  */
    font-size: 16px;
    font-weight: bold;
    font-family: "Times New Roman", Times, serif;
    color: navy;
    text-align: left;
}

h4 { /* Header 4 - and the author and data headers use this too  */
    font-size: 14px;
  font-weight: bold;
    font-family: "Times New Roman", Times, serif;
    color: darkred;
    text-align: left;
}

/* Add dots after numbered headers */
.header-section-number::after {
  content: ".";

body { background-color:white; }

.highlightme { background-color:yellow; }

p { background-color:white; }

}
```


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = F)

#Ram Poll 2026

#Read in .csv file 
library(dplyr)
library(survey)
library(kableExtra)
setwd("C:/Users/75LPYOTT/OneDrive - West Chester University of PA/Desktop/RP 2026")
surveydata=read.csv("RP2026 with weights.csv", header=T)
unweighted_data=read.csv("26RP10.20.csv", header=T, na.strings=c("","NA"))


#Create the survey design with the weights
RP2026_design = svydesign(ids=~1, weights=~weights_posttrim, data=surveydata)

```

# Unweighted responses

These sample sizes are larger because the questions were at the beginning of the survey. 

```{r unweighted, include=T}
  
#Calculates proportion estimators and 95% CI


T1=table(unweighted_data$REG)
kable(T1, caption="All respondents-registration status")
kable(prop.table(T1), caption="All respondents")

T2=table(unweighted_data$AUTO)
kable(T2, caption="All respondents-registration mode")
kable(prop.table(T2), caption= "All respondents")

T3=table(unweighted_data$VOTENOV)
kable(T3, caption="All respondents-voting intention")
kable(prop.table(T3), caption= "All respondents")

```


# Voting Questions-weighted responses

The data set used for these tables contains 547 responses. Students who did not report their 
county, sex, or race were filtered out, as they could not have their responses weighted.
``` {r weighted} 

#kable(sapply(RP2026_design$variables, function(x) sum(is.na(x))),
 #     caption="Missing values")
#kable(sapply(RP2026_design$variables, function(x)
 # mean(is.na(x)) * 100),
  #caption="Proportion of missing values")


kable(svymean(~REG, design=RP2026_design, na.rm=TRUE))
kable(svymean(~AUTO, design=RP2026_design, na.rm=TRUE))
kable(svymean(~ADDRESS,  design=RP2026_design, na.rm=TRUE))
kable(svymean(~MODE,  design=RP2026_design, na.rm=TRUE))
kable(svymean(~PARTY, design=RP2026_design, na.rm=TRUE))
kable(svymean(~IDEO, design=RP2026_design, na.rm=TRUE))
kable(svymean(~VOTENOV, design=RP2026_design, na.rm=TRUE))

kable(svymean(~VOTEGOV,  design=RP2026_design, na.rm=TRUE))
unwtd.count(~VOTEGOV, RP2026_design,na.rm=TRUE)
kable(svymean(~VOTEGOV,  subset(RP2026_design, REG=="Yes"),na.rm=TRUE))
unwtd.count(~VOTEGOV, subset(RP2026_design, REG=="Yes"),na.rm=TRUE)
kable(svymean(~LEANGOV,  design=RP2026_design, na.rm=TRUE))
kable(svymean(~VOTECON,  design=RP2026_design, na.rm=TRUE))
```

# Polarization (feelings thermometer)

``` {r polarization}

kable(svymean(~POL_1,  design=RP2026_design, na.rm=TRUE),
      caption="Favorability toward Republicans")
kable(svymean(~POL_2,  design=RP2026_design, na.rm=TRUE),
      caption="Favorability toward Democrats")
kable(svymean(~POL_3,  design=RP2026_design, na.rm=TRUE),
      caption="Favorability toward U.S. Congress")
kable(svymean(~POL_4,  design=RP2026_design, na.rm=TRUE),
      caption="Favorability toward U.S. President")
kable(svymean(~POL_5,  design=RP2026_design, na.rm=TRUE),
      caption="Favorability toward SCOTUS")

kable(svymean(~RATEGOV,  design=RP2026_design, na.rm=TRUE))
kable(svymean(~RATEPRES,  design=RP2026_design, na.rm=TRUE))
```

# Extremism questions

``` {r extremism}
kable(svymean(~EXTSCALE_1,  design=RP2026_design, na.rm=TRUE),
      caption="Confidence in free and fair election")
kable(svymean(~EXTSCALE_2,  design=RP2026_design, na.rm=TRUE),
            caption="Decisions without consulting others")
kable(svymean(~EXTSCALE_3,  design=RP2026_design, na.rm=TRUE),      
            caption="Non-democratic govt")
kable(svymean(~EXTSCALE_4,  design=RP2026_design, na.rm=TRUE),
            caption="Power concentration guarantees order")
kable(svymean(~EXTSCALE_5,  design=RP2026_design, na.rm=TRUE),
            caption="close media outlets")
kable(svymean(~EXTSCALE_6,  design=RP2026_design, na.rm=TRUE),
            caption="violence to maintain order")



```

# Issues

```{r issues, include=T}
kable(svymean(~ISSUES_1, design =RP2026_design, na.rm=TRUE), caption = "Abortion", full_width=F)
kable(svymean(~ISSUES_2, design =RP2026_design, na.rm=TRUE), caption = "Economy", full_width=F)
kable(svymean(~ISSUES_3, design =RP2026_design, na.rm=TRUE), caption = "Climate Change", full_width=F)
kable(svymean(~ISSUES_4, design =RP2026_design, na.rm=TRUE), caption = "Healthcare", full_width=F)
kable(svymean(~ISSUES_5, design =RP2026_design, na.rm=TRUE), caption = "Racial/Ethnic Issues", full_width=F)
kable(svymean(~ISSUES_6, design =RP2026_design, na.rm=TRUE), caption = "Education", full_width=F)
kable(svymean(~ISSUES_7, design =RP2026_design, na.rm=TRUE), caption = "Immigration", full_width=F)
kable(svymean(~ISSUES_8, design =RP2026_design, na.rm=TRUE), caption = "Gun Policy", full_width=F)
kable(svymean(~ISSUES_9, design =RP2026_design, na.rm=TRUE), caption = "SCOTUS Appointments", full_width=F)
kable(svymean(~ISSUES_10, design =RP2026_design, na.rm=TRUE), caption = "Energy Policy", full_width=F)
kable(svymean(~ISSUES_11, design =RP2026_design, na.rm=TRUE), caption = "Violent Crime", full_width=F)
kable(svymean(~ISSUES_12, design =RP2026_design, na.rm=TRUE), caption = "Election Laws/Policies", full_width=F)
kable(svymean(~ISSUES_13, design =RP2026_design, na.rm=TRUE), caption = "Electoral College", full_width=F)
kable(svymean(~ISSUES_14, design =RP2026_design, na.rm=TRUE), caption = "LGBTQIA+ Issues", full_width=F)
kable(svymean(~ISSUES_15, design =RP2026_design, na.rm=TRUE), caption = "Foreign Policy", full_width=F)

```


# Demographics

```{r demog, include=T}

kable(prop.table(table(surveydata$COUNTY)))
kable(prop.table(table(surveydata$FIRSTGEN)))
kable(prop.table(table(surveydata$GENDID)))
kable(prop.table(table(surveydata$SEX)))
kable(prop.table(table(surveydata$RACE)))
kable(prop.table(table(surveydata$REGION)))
kable(prop.table(table(surveydata$NUDGE)))
kable(prop.table(table(surveydata$REGION)))
kable(table(surveydata$CAMPUS))
  
```


# Extremism by Sex

``` {r}
X1=prop.table(svytable(~EXTSCALE_1+SEX, design=RP2026_design, addNA=T), margin=2)
kable(round(X1, 3), caption="Confidence in free and fair election")

X2=prop.table(svytable(~EXTSCALE_2+SEX, design=RP2026_design, addNA=T), margin=2)
kable(round(X2, 3), caption="Decisions with consulting others")

X3=prop.table(svytable(~EXTSCALE_3+SEX, design=RP2026_design, addNA=T), margin=2)
kable(round(X3, 3), caption="Non-democratic govt")

X4=prop.table(svytable(~EXTSCALE_4+SEX, design=RP2026_design, addNA=T), margin=2)
kable(round(X4, 3), caption="Power concentration guarantees order")

X5=prop.table(svytable(~EXTSCALE_5+SEX, design=RP2026_design, addNA=T), margin=2)
kable(round(X5, 3), caption="close media outlets")

X6=prop.table(svytable(~EXTSCALE_6+SEX, design=RP2026_design, addNA=T), margin=2)
kable(round(X6, 3), caption="violence to maintain order")




```


# Issues by Party

```{r issuesxparty, include=T}
X1=prop.table(svytable(~ISSUES_1+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X1, 3), caption="abortion")
X2=prop.table(svytable(~ISSUES_2+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X2, 3), caption="economy")
X3=prop.table(svytable(~ISSUES_3+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X3, 3), caption="climate")
X4=prop.table(svytable(~ISSUES_4+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X4, 3), caption="heathcare")
X5=prop.table(svytable(~ISSUES_5+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X5, 3), caption="racial issues")
X6=prop.table(svytable(~ISSUES_6+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X6, 3), caption="Education")
X7=prop.table(svytable(~ISSUES_7+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X7, 3), caption="immigration")
X8=prop.table(svytable(~ISSUES_8+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X8, 3), caption="gun policy")
X9=prop.table(svytable(~ISSUES_9+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X9, 3), caption="SCOTUS appts")
X10=prop.table(svytable(~ISSUES_10+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X10,3), caption="energy policy")
X11=prop.table(svytable(~ISSUES_11+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X11, 3), caption="violent crime")
X12=prop.table(svytable(~ISSUES_12+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X12, 3), caption="election laws")
X13=prop.table(svytable(~ISSUES_13+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X13, 3), caption="Electoral college")
X14=prop.table(svytable(~ISSUES_14+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X14, 3), caption="LGBTQ")
X15=prop.table(svytable(~ISSUES_15+PARTY, design=RP2026_design, addNA=T), margin=2)
kable(round(X15, 3), caption="foreign policy")

```

# Top issues

``` {r top issues}

#weighted estimates for top three issues
R1=svymean(~RANK_0_GROUP_01, design = RP2026_design, na.rm=TRUE)
R2=svymean(~RANK_0_GROUP_02, design =RP2026_design, na.rm=TRUE)
R3=svymean(~RANK_0_GROUP_03, design = RP2026_design, na.rm=TRUE)

#Top ranked issues
R1=as.data.frame(R1)
R2=as.data.frame(R2)
R2$mean2=R2$mean
R3=as.data.frame(R3)
R3$mean3=R3$mean
Ranks=cbind(R1, R2, R3)
Ranks$total=Ranks$mean+Ranks$mean2+Ranks$mean3
Ranks=round(Ranks, 2)
#kable(Ranks)
```
``` {r feelings}
#Republicans
RP2026_design <- update(
  RP2026_design,
  feel_cat1 = cut(
    POL_1,
    breaks = c(-1, 19, 39, 50, 80, 100),
    labels = c("Very cool", "Cool", "Neutral", "Warm", "Very warmly")
  ))

kable(svymean(~feel_cat1, RP2026_design, na.rm = TRUE), 
      caption="Republicans")

#Democrats
RP2026_design <- update(
  RP2026_design,
  feel_cat2 = cut(
    POL_2,
    breaks = c(-1, 19, 39, 50, 80, 100),
    labels = c("Very cool", "Cool", "Neutral", "Warm", "Very warmly")
  ))


kable(svymean(~feel_cat2, RP2026_design, na.rm = TRUE), 
      caption="Democrats")

# US Congress
RP2026_design <- update(
  RP2026_design,
  feel_cat3 = cut(
    POL_3,
    breaks = c(-1, 19, 39, 50, 80, 100),
    labels = c("Very cool", "Cool", "Neutral", "Warm", "Very warmly")
  ))

kable(svymean(~feel_cat3, RP2026_design, na.rm = TRUE), 
      caption="US Congress")

#US President
RP2026_design <- update(
  RP2026_design,
  feel_cat4 = cut(
    POL_4,
    breaks = c(-1, 19, 39, 50, 80, 100),
    labels = c("Very cool", "Cool", "Neutral", "Warm", "Very warmly")
  ))

kable(svymean(~feel_cat4, RP2026_design, na.rm = TRUE), 
      caption="President")

#SCOTUS
RP2026_design <- update(
  RP2026_design,
  feel_cat5 = cut(
    POL_5,
    breaks = c(-1, 19, 39, 50, 80, 100),
    labels = c("Very cool", "Cool", "Neutral", "Warm", "Very warmly")
  ))

kable(svymean(~feel_cat5, RP2026_design, na.rm = TRUE), 
      caption="SCOTUS")

```


``` {r gov_by_region}

kable(prop.table(svytable(~REGION+VOTEGOV, design=RP2026_design, addNA=T), margin=1),
        caption="Governor by Region")

kable(prop.table(svytable(~REGION+VOTECON, design=RP2026_design, addNA=T), margin=1),
        caption="Congress by Region")

kable(prop.table(svytable(~PARTY+MODE, design=RP2026_design, addNA=F), margin=1),
        caption="Voting mode by Party")


```