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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
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A percentage frequency distribution, in general, is a display of data that indicates the percentage of observations for each data point or grouping of data points. It is a commonly used method for expressing the relative frequency of survey responses and other data. The percentage frequency distributions are often displayed as bar graphs, pie charts, or tables.
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Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
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A relative frequency distribution is the proportion or fraction of times a value occurs in a data set. To find the relative frequencies, one can divide each frequency by the total number of data points in the sample. It is very similar to a regular frequency distribution, except that instead of reporting how many data values fall in a class, a relative frequency distribution reports the fraction of data values that fall in a class. These fractions or proportions are called relative frequencies...
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A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
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Dataset on PGA Tour tournament entry.

Inés Alegre1, Miguel A Canela1, David Pastoriza2

  • 1IESE Business School, Spain.

Data in Brief
|March 7, 2022
PubMed
Summary

Athletes

Area of Science:

  • Sports Economics
  • Behavioral Economics
  • Performance Psychology

Background:

  • Understanding athlete self-selection into tournaments is crucial for competitive dynamics.
  • Monetary prizes significantly influence participation decisions in professional sports.
  • Past performance, or momentum, is hypothesized to affect future participation choices.

Purpose of the Study:

  • To analyze the determinants and moderators of athletes' decisions to enter prize-endowed tournaments.
  • To investigate the impact of short-term and long-term performance momentum on tournament self-selection.
  • To provide a dataset for in-depth analysis of how performance trajectories influence golfer participation in PGA Tour events.

Main Methods:

  • Dataset compilation of 54,915 golfer self-selection decisions from 1996-2006.
Keywords:
GolfHeuristicsMomentumPGA TourSelf-selectionTournaments

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  • Inclusion of variables measuring short-term momentum (recent performance streaks).
  • Inclusion of variables measuring long-term momentum (performance streaks across seasons in the same tournament).

    • Main Results:

    • The dataset enables detailed examination of how past performance influences tournament entry.
    • Analysis can reveal the differential impact of recent versus historical performance on self-selection.
    • The findings can illuminate the psychological and economic factors driving elite athlete participation.

    Conclusions:

    • The dataset offers a unique resource for studying athlete decision-making in professional golf.
    • Understanding momentum's role can inform tournament organization and athlete support strategies.
    • This research contributes to the broader understanding of self-selection behavior in competitive environments.