Random Events Knowledge Test (REKT)

Abstract

The Random Events Knowledge Test (REKT) is a specialized psychometric instrument designed to assess an individual’s understanding of fundamental concepts of probability and randomness. Developed primarily within the context of prevention research for problem gambling, the scale measures the degree to which respondents harbor common misconceptions and cognitive biases regarding chance occurrences, such as the belief in streaks or the inverse, commonly known as the Gambler’s Fallacy. The REKT is utilized to gauge the effectiveness of educational interventions aimed at improving mathematical reasoning and critical thinking skills related to games of chance.

Keywords

Random Events Knowledge Test, REKT, probability, randomness, cognitive biases, mathematical reasoning, critical thinking, gambling prevention, problem gambling

Authors

Nigel E. Turner, John Macdonald, Eva Liu, Nina Littman-Sharp, Maryam Zengeneh, Wendy Spence, Matthew Somerset

Purpose

The primary purpose of the Random Events Knowledge Test (REKT) is to quantify an individual’s knowledge base concerning the principles governing chance and random processes. This assessment tool is crucial for educational programs, particularly those focused on the prevention of problem gambling, as misconceptions about chance are strongly linked to faulty decision-making and increased engagement in risky gambling behaviors. By identifying specific areas of misunderstanding, educators can tailor curricula to address common errors in mathematical and probabilistic reasoning.

The scale serves as both a diagnostic tool and an outcome measure, allowing researchers and practitioners to evaluate the efficacy of interventions designed to promote life skills, critical thinking, and a realistic understanding of odds and independent events in various contexts, including lotteries, slot machines, and coin flips.

Construct

The REKT measures the psychological construct of Random Events Knowledge, which encompasses the accurate understanding of how independent events operate. This construct is essentially the inverse of susceptibility to common gambling-related cognitive errors. Key areas assessed include:

  • Independence of Events: Understanding that past outcomes (e.g., losing streak) do not influence future outcomes (e.g., next game result).
  • Misconceptions of Randomness: Identifying the belief that “random-looking” sequences are inherently more probable than orderly sequences.
  • Law of Large Numbers: Recognizing the difference between short-run fluctuations and long-run theoretical probability (e.g., coin flips eventually averaging 50% heads/tails).
  • Mathematical Reality of Gambling: Assessing the acceptance of the fundamental principle that games of chance are designed with an inherent house advantage, making long-term winning unlikely.

Validity

Although specific psychometric validation studies yielding coefficients are often detailed in specialized reports, the REKT demonstrates strong Content Validity. The items were developed by experts in psychology and mathematics (Turner & Liu, 1999; Macdonald & Turner, 2008) specifically to target known cognitive errors associated with gambling behavior, such as the Gambler’s Fallacy and the illusion of control. Its use within problem gambling prevention curricula suggests significant Face Validity, as the questions directly relate to high-risk beliefs about lotteries, slot machines, and general probability.

Furthermore, the scale’s utility is tied to its Criterion Validity, as scores reflecting poor knowledge of randomness are hypothesized to correlate positively with higher levels of gambling involvement or vulnerability to developing problem gambling behaviors, making it a valuable tool for early identification and intervention planning.

Reliability

Reliability estimates for the REKT, while not explicitly detailed in the provided references, are typically assessed using measures of Internal Consistency (e.g., Cronbach’s Alpha), given its application as a single-factor knowledge test. Given its use in pre-post intervention studies, it is expected to demonstrate sufficient stability and consistency (Test-Retest Reliability) to accurately measure changes in knowledge following educational interventions focusing on mathematical reasoning and critical thinking.

Factor Analysis

Based on the scale’s purpose—to measure a single, coherent construct (knowledge of random events)—it is likely designed to be unidimensional. A Factor Analysis would typically be employed to confirm that all 22 items load onto a single factor representing the overall understanding of probability and independence of events. Alternatively, analysis might reveal sub-factors related to specific types of cognitive errors, such as those related to machine-based gambling versus lottery/card-based gambling, but the core design points toward a unified measure of probabilistic literacy related to chance.

Instrument

Test Type: Knowledge/Aptitude Test

Format: True/False (22 items)

Language Available: English (Primary)

Population Group: Educational and Clinical Populations

Age Group: Adolescents and Adults (Used primarily in school-based prevention curricula, suggesting middle school through high school/early college age ranges)

Population Details: Individuals participating in educational programs focused on life skills, mathematical reasoning, and the prevention of problem gambling.

Test Methodology: The respondent indicates whether each statement is True (T) or False (F). Scoring involves assigning points for correct answers that reflect an accurate understanding of random processes and probabilistic outcomes. Higher scores indicate a better understanding of randomness and lower susceptibility to related cognitive biases.

Keywords

Gambler’s fallacy, true/false instrument, mathematical reasoning, critical thinking, prevention curriculum, cognitive error, chance, slot machines, lotteries

Authors

Author ORCID Identifier: Not provided in source content.

Affiliation Email addresses: Not provided in source content.

Correspondence Address: Correspondence is often directed through the Centre for Addiction and Mental Health (CAMH) or the authors’ affiliated university departments, as noted in the reference section.

Permissions & Fee and Test Year

The instrument was developed and presented in academic contexts starting in 1999 (Turner & Liu) and fully integrated into the “Life Skills, Mathematical Reasoning and Critical Thinking: Curriculum for the Prevention of Problem Gambling” published in 2008. The scale is publicly referenced within academic literature related to prevention programs.

The original instrument can be found on page 37 of the 2008 report by Macdonald, Turner, & Somerset, which was a Final Report to the Ontario Problem Gambling Research Centre. The reference to this resource is available via PubMed: http://www.ncbi.nlm.nih.gov/pubmed/18095146. Permissions for academic or non-commercial use should be sought from the primary authors or the Centre for Addiction and Mental Health.

Reference’s

The following references document the development, application, and context of the Random Events Knowledge Test (REKT):

  • Turner, N.E. & Liu, E. (1999, Aug). The naïve human concept of random events. Paper presented at the 1999 conference of the American Psychological Association, Boston.
  • Macdonald, J. & Turner, N.E. (2000, Oct) The prevention of problem gambling using education, modeling and drama. Paper presented at the conference of the National Council on Problem Gambling, Pennsylvanian, Oct.
  • Macdonald, J. & Turner, N.E. (2001, April). The development and testing of an experimental approach to preventing problem gambling. Paper presented at the 2001b, conference of the Canadian Foundation on Compulsive Gambling.
  • Macdonald, J. & Turner, N.E. (2002, Oct). The prevention of problem gambling using education, modeling and drama. Paper presented to the 14th National Conference on Problem Gambling. Philadelphia, PA.
  • Turner, N., Littman-Sharp, N., Zengeneh, M. & Spence, W. (2002). Winners: Why do some develop gambling problems while others do not? Available at www.gamblingresearch.org
  • Macdonald. John, Turner. Nigel, Somerset. Matthew. (2008). Life Skills, Mathematical Reasoning and Critical Thinking: Curriculum for the Prevention of Problem Gambling. Final Report to the Ontario Problem Gambling Research Centre. Centre for Addiction and Mental Health.

Items of the Random Events Knowledge Test (REKT)

IMPORTANT: The following scale items must be preserved in their original language and must not be changed in any way.

T F 1) Knowledge of math can help you to win at lotteries.
T F 2) Staying at the same slot machines improves your chances of winning.
T F 3) It is possible to get an A on a test by guessing.
T F 4) Betting the same numbers for every lottery draw will not help you win.
T F 5) If you lose several times in a row you are most likely to win if you keep playing
T F 6) If you win three times in a row while gambling‚ you are less likely to win again if you keep playing.
T F 7) If you buy a 649 lottery ticket every day‚ you would most likely win the jackpot within the next 40 years.
T F 8) If you have lost at several games in a row‚ your likelihood of winning or losing does not change.
T F 9) A random looking number (e.g.‚ 12 – 5 – 23 – 7 – 19 – 34) is more likely to win than a number that has a sequence in it (e.g.‚ 1- 2- 3- 4 – 5 – 6).
T F 10) The likelihood of winning does not increase if you bet on numbers that come up very often.
T F 11) If numbers are drawn randomly‚ repeated numbers often occur.
T F 12) If a student gets perfect on a test they are most likely to get a lower mark on the next test.
T F 13) If every 649 draw for the past year had 2 numbers between 31 and 39‚ it would probably indicate that the lottery numbers weren’t truly random.
T F 14) It would be foolish to bet on the number 18 if 18 had come up recently.
T F 15) If you flip a coin 5 times and you get heads 5 times in a row‚ you are most likely to get tails if you flip the coin again.
T F 16) If you flip a coin thousands of times‚ on average‚ you’ll get same number of heads and tails.
T F 17) Suppose you flip a coin and get 10 heads in a row. If you keep flipping the coin‚ you will eventually get exactly the same number of heads and tails.
T F 18) You have a better chance of becoming rich by gambling than by running a business.
T F 19) A longer test gives a more accurate measure of a student’s ability than a short test.
T F 20) Looking for a slot machine that has not paid out in a while will help you win.
T F 21) You cannot predict the winning numbers in a lottery by studying past winning numbers.
T F 22) In a lottery‚ all numbers have the same chance of winning.

Cite this article

Mohammed looti (2025). Random Events Knowledge Test (REKT). Psychological Scales & Instruments Database. Retrieved from https://db.arabpsychology.com/scales/random-events-knowledge-test-rekt/

Mohammed looti. "Random Events Knowledge Test (REKT)." Psychological Scales & Instruments Database, 14 Oct. 2025, https://db.arabpsychology.com/scales/random-events-knowledge-test-rekt/.

Mohammed looti. "Random Events Knowledge Test (REKT)." Psychological Scales & Instruments Database, 2025. https://db.arabpsychology.com/scales/random-events-knowledge-test-rekt/.

Mohammed looti (2025) 'Random Events Knowledge Test (REKT)', Psychological Scales & Instruments Database. Available at: https://db.arabpsychology.com/scales/random-events-knowledge-test-rekt/.

[1] Mohammed looti, "Random Events Knowledge Test (REKT)," Psychological Scales & Instruments Database, vol. X, no. Y, ص Z-Z, October, 2025.

Mohammed looti. Random Events Knowledge Test (REKT). Psychological Scales & Instruments Database. 2025;vol(issue):pages.

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