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How people think about competition and winning

Source reportMethodology

Overview

Adults separated competition as a way to test ability from a more absolute belief that winning matters no matter what.


Roughly 63% agreed at least somewhat that they enjoy competition because it helps them discover their abilities. About 60% disagreed at least somewhat that winning is the most important thing no matter what.

Crosstab view

63% agreed that competition helps them discover ability, while 23% agreed that winning matters no matter what.

I enjoy competition as it allows me to discover my abilities.

I enjoy competition as it allows me to discover my abilities.

Somewhat Agree
28.5%
Agree
21.8%
Neither Agree nor Disagree
21.1%

The most important thing is winning, no matter what.

Strongly Disagree
26.7%
Disagree
20.5%
Neither Agree nor Disagree
16.7%

2023 · base n 1,000 · +/- 3.6%

MPSA 2023 Omnibus Survey #2023-032

View source data

Competition as self-discovery drew agreement

Roughly 29% somewhat agreed, 22% agreed, and 13% strongly agreed that they enjoy competition because it helps them discover their abilities.

Combined, about 63% agreed at least somewhat with the statement. Roughly 16% disagreed at least somewhat, and 21% neither agreed nor disagreed.

Stacked breakdown

60% disagreed at least somewhat that winning is the most important thing no matter what.

The most important thing is winning, no matter what.

Strongly Disagree
26.7%
Disagree
20.5%
Somewhat Disagree
13.0%
Neither Agree nor Disagree
16.7%
Somewhat Agree
12.0%
Agree
5.5%
Strongly Agree
5.6%

2023 · base n 1,000 · +/- 3.6%

MPSA 2023 Omnibus Survey #2023-032

View source data

Winning at any cost drew disagreement

About 27% strongly disagreed and 21% disagreed that the most important thing is winning, no matter what. Another 13% somewhat disagreed.

The agreement side was smaller. Roughly 23% agreed at least somewhat, while 17% neither agreed nor disagreed.

The paired items point to a boundary

The two results are not opposites. Adults were open to competition when it was framed as learning about ability, but they were less accepting of a statement that made winning the overriding goal.

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Population
United States adults who completed both waves of the survey
Field dates
2023-04-19 → 2023-04-27
Base (unweighted)
1,000
Margin of error
+/- 3.6%
Module
MPSA 2023 Omnibus Survey #2023-032
Sponsor
Verasight
Weight variable
weight
Weighting targets
age, race/ethnicity, sex, income, education, region, metropolitan status

Sources

[2]
  • 01
    Please rate the extent to which you agree or disagree with the following statement: I enjoy competition as it allows me to discover my abilities.Anchors the topic in a positive competition framing.reports.verasight.io/reports/mpsa-2023-omnibus-survey-2023-032
  • 02
    Please rate the extent to which you agree or disagree with the following statement: The most important thing is winning, no matter what.Contrasts competition as self-discovery with winning at any cost.reports.verasight.io/reports/mpsa-2023-omnibus-survey-2023-032

Citation

MPSA 2023 Omnibus Survey #2023-032, fielded April 19-27, 2023, N=1,000 United States adults who completed both waves of the survey, +/- 3.6%.

https://reports.verasight.io/reports/mpsa-2023-omnibus-survey-2023-032#please-rate-the-extent-to-which-you-agree-or-disagree-with-the-following-statement-i-enjoy-competition-as-it-allows-me-to-discover-my-abilities

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
AAPOR transparency standards.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.