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Demographic differences in coping with uncertainty about the future

P C van der Sijde1, W Tomic, F W Snel

  • 1Chiron Foundation, The Netherlands.

The Journal of Social Psychology
|April 1, 1996
PubMed
Summary
This summary is machine-generated.

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Younger Dutch adults express greater confidence in predicting future events compared to older adults. Regional and gender differences also emerged in belief in prediction methods.

Area of Science:

  • Psychology
  • Social Psychology

Background:

  • The Prediction of Future Events Scale (PFES) is a tool used to assess beliefs about predicting future occurrences.
  • Previous research established the factor structure of the PFES in a U.S. population.

Purpose of the Study:

  • To explore age, gender, and regional variations in responses to the PFES within a Dutch population.
  • To compare the factor structure of the PFES in a Dutch sample to the original U.S. findings.

Main Methods:

  • Administered the Prediction of Future Events Scale to a Dutch population sample.
  • Conducted factor analysis to examine the scale's structure.
  • Analyzed demographic data (age, gender, region) to identify differences in scale responses.

Main Results:

Related Experiment Videos

  • The factor structure of the PFES in the Dutch sample was identical to the U.S. study.
  • The Dutch study accounted for a higher percentage of variance (63.1%) compared to the U.S. study (40.6%).
  • Only 3 out of 7 identified factors were deemed reliable.
  • Younger participants showed higher confidence in future prediction methods than older participants.
  • Participants from the western Netherlands scored significantly lower on all scales compared to other regions.
  • Women scored higher than men on prediction methods involving psi (extrasensory perception).

Conclusions:

  • Age is a significant demographic factor influencing beliefs about predicting future events.
  • Regional and gender differences exist in the Dutch population's beliefs regarding future prediction methods.
  • While the factor structure is consistent, reliability of factors may vary across populations.