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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Related Experiment Video

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Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
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Rorschach Performance Assessment System (R-PAS) Interrater Reliability in a Brazilian Adolescent Sample and

Andréia Mello de Almeida Schneider1, Denise Ruschel Bandeira1, Gregory J Meyer2

  • 1Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.

Assessment
|November 21, 2020
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Summary

This study found excellent interrater reliability for the Rorschach Performance Assessment System (R-PAS) among adolescent coders. The findings support the R-PAS

Keywords:
R-PASRorschachadolescentspersonalityreliability

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Area of Science:

  • Psychological Assessment
  • Psychometrics
  • Developmental Psychology

Background:

  • The Rorschach Performance Assessment System (R-PAS) is a widely used tool for psychological assessment.
  • Ensuring interrater reliability is crucial for the consistent application of R-PAS scores.

Purpose of the Study:

  • To evaluate the interrater reliability of the Rorschach Performance Assessment System (R-PAS) scoring in a Brazilian adolescent sample.
  • To compare reliability for commonly coded versus rare variables and across different studies.

Main Methods:

  • Examined interrater reliability using intraclass correlation coefficients (ICCs) for 60 protocol-level R-PAS scores.
  • Involved primary coding by the first author and secondary coding by seven independent R-PAS-proficient psychologists.
  • Analyzed data from 89 Brazilian adolescents (mean age = 13.2 years).

Main Results:

  • Overall excellent interrater reliability was found (mean ICC = 0.89).
  • Reliability was generally higher for common variables (mean ICC = 0.87) than rare variables (mean ICC = 0.78).
  • 78.3% of variables showed excellent reliability, and 20.0% showed good reliability.

Conclusions:

  • The R-PAS demonstrates excellent interrater reliability for most scores in adolescent populations.
  • Findings suggest clear coding guidelines, with areas for potential expansion for variables showing higher variability.
  • Results provide a strong foundation for future research on R-PAS interrater reliability.