Objective Personality Test and Statistical Techniques Quiz
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Questions and Answers

What is the purpose of Binomial Effect Size Display (BESD)?

  • To compare predicted and obtained results in a 2x2 table (correct)
  • To adjust results to remove extraneous factors
  • To analyze the effects of publication bias
  • To analyze data in various ways until the desired result is found
  • Which research practice involves deleting unusual responses and neglecting to report failed results?

  • open science
  • p-hacking
  • Questionable Research Practices (QRPs) (correct)
  • publication bias
  • What distinguishes the California Psychological Inventory (CPI) from the Minnesota Multiphase Personality Inventory (MMPI)?

  • Designed for use with normal individuals (correct)
  • Designed for employment screening
  • Used for clinical assessment of psychological difficulties
  • Used with disturbed individuals
  • What is the purpose of the Minnesota Multiphase Personality Inventory (MMPI)?

    <p>Clinical assessment of psychological difficulties</p> Signup and view all the answers

    Which research principle aims to improve the transparency of scientific research?

    <p>open science</p> Signup and view all the answers

    What does replication aim to achieve in research?

    <p>To see if study results hold up</p> Signup and view all the answers

    What type of test consists of a list of questions to be answered as True or False, Yes or No, or along a numeric scale?

    <p>Objective test</p> Signup and view all the answers

    Which statistical technique is used for finding clusters of related traits, tests, or items?

    <p>Factor analysis</p> Signup and view all the answers

    In statistical data analysis, what does the p-level represent?

    <p>Probability that the result occurred by chance</p> Signup and view all the answers

    What does a type I error in research refer to?

    <p>Incorrectly rejecting a true relationship between variables</p> Signup and view all the answers

    Which term describes the mistake of thinking that one variable has no effect on another when it actually does?

    <p>Type II error</p> Signup and view all the answers

    What does an effect size in research represent?

    <p>Magnitude of the relationship between variables</p> Signup and view all the answers

    Study Notes

    Research Practices and Statistics

    • Binomial Effect Size Display (BESD): A method used to present the size of an effect in a way that is easy to understand, such as the number of people who would need to receive a treatment for one person to benefit.

    • Questionable Research Practice: Deleting unusual responses and neglecting to report failed results is a questionable research practice that can lead to biased results.

    Personality Inventories

    • California Psychological Inventory (CPI): A personality inventory that focuses on normal, everyday personality traits and behaviors, distinguishing it from the MMPI.
    • Minnesota Multiphase Personality Inventory (MMPI): A personality inventory used to assess personality traits and psychopathology, especially in a clinical or psychiatric setting.

    Research Principles and Statistics

    • Open Research Principle: Aims to improve the transparency of scientific research by making methods, data, and results openly available.

    • Replication: A research principle that aims to verify the results of previous studies by repeating the experiment to increase confidence in the findings.

    • Rating Scales: A type of test that consists of a list of questions to be answered as True or False, Yes or No, or along a numeric scale, used to measure attitudes, opinions, or personality traits.

    • Cluster Analysis: A statistical technique used for finding clusters of related traits, tests, or items.

    • p-level: In statistical data analysis, the p-level represents the probability of obtaining the observed results by chance, with a lower p-level indicating statistical significance.

    • Type I Error: A type of error that occurs when a researcher rejects a true null hypothesis, concluding that there is an effect when there is none.

    • Type II Error: The mistake of thinking that one variable has no effect on another when it actually does.

    • Effect Size: A statistical measure that represents the magnitude or size of the difference between groups or the effect of an intervention, used to determine the practical significance of the results.

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    Test your knowledge on objective personality tests and statistical techniques like factor analysis, p-level, and type I error. Questions cover a variety of topics including test formats, statistical analysis, and common mistakes in research.

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