mixed-mode probability

Siena College Research Institute

Siena College New York State Poll, April 2024 · Apr 15–17, 2024 · US: New York

Methodology

Pollster
Siena College Research Institute academic
Sponsor
Siena College Research Institute
Fielded
Apr 15–17, 2024
Population
registered voters
Sample size
806
Sample frame
mixed-mode probability
Panel
Cint (proprietary online panel component)
Mode
mixed mode - dual-frame landline and cell phone telephone with live interviewer, some cell interviews initiated by text to a furnished URL, plus proprietary online panel (Cint)
Margin of error
+/- 4.1 percentage points including the design effects resulting from weighting
Weighting
weighted to match estimates for New York State's population using the Census Bureau's 2023 American Community Survey on age, region, race/ethnicity, education and gender, and weighted to match current patterns of party registration using data from the New York State Board of Elections
Geography
US: New York
Base notes
517 respondents contacted through a dual-frame landline and cell phone mode (including 50 cell interviews initiated via text and completed through a furnished URL); 289 respondents drawn from a proprietary online panel (Cint)

Sources

Verification note. Question wording, preamble and rotation note copied verbatim from the Siena crosstab PDF (Q29); strongly/somewhat support and oppose figures and all party, gender, ideology, region, age and income breaks read directly from the same crosstab table. Topline and party figures independently cross-checked against the narrative text of the Siena press release (66-27% overall; Democrats 52-38, Republicans 83-15, independents 77-16). Note Siena reposted this release and crosstab in July 2025 under an updated-methodology filename; the fielding is unchanged.

Figures below are transcribed from these documents. Where they disagree with the source, the source governs.

Questions asked (1)

Sports4-point scalein a trend series
requiring high school athletes to compete only with others of the sex they were assigned at birth

Now, I'm going to mention some proposals that are being discussed in Congress and some state legislatures. For each, I'd like you to tell me if you strongly support, somewhat support, somewhat oppose or strongly oppose each of the proposals. {Q29-Q35 ROTATED]

Requiring high school athletes to only compete with others of the same sex that they were assigned at birth

Support 66%27% Oppose

Wording notes: item is a bare policy label with no counter-argument or opposing frame | does not use the word 'transgender' anywhere in the item | restriction is the thing being supported, so 'support' is the restrictive direction | asked within a rotated battery of seven unrelated proposals

tilts_restrictive — The item never names transgender people, so respondents endorse an abstract 'same sex assigned at birth' rule rather than an exclusion applied to an identified group; the single-statement support/oppose format supplies no opposing consideration, and the restrictive policy occupies the agree side, both of which tend to inflate measured support relative to a two-sided forced choice such as the OVBC or Ipsos constructions.

Subgroup figures (51)

party

GroupStrongly supportSomewhat supportTotal supportSomewhat opposeStrongly opposeTotal opposeDon't know/Refused
Democrat34%18%52%17%21%38%10%
Republican73%10%83%8%7%15%2%
Independent/Other63%14%77%9%7%16%7%

ideology

GroupTotal supportTotal oppose
Liberal40%50%
Moderate72%20%
Conservative85%12%

gender

GroupTotal supportTotal oppose
Men71%24%
Women62%29%

age

GroupTotal supportTotal oppose
18-3457%36%
35-5467%24%
55+69%24%

race

GroupTotal supportTotal oppose
White68%25%
Black/African American58%31%
Latino62%35%

region

GroupTotal supportTotal oppose
New York City64%29%
Suburbs66%24%
Upstate67%26%

other

GroupTotal support
Union household68%
Non-union household64%

Every figure on this page is transcribed from the source linked above. How to read this data →