Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
Errors and Mistakes in Surveying01:19

Errors and Mistakes in Surveying

Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of attention,...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparability of Structured Interview of Reported Symptoms (SIRS) and Structured Interview of Reported Symptoms-Second Edition (SIRS-2) classifications with external response bias criteria.

Psychological assessment·2018
Same author

Classification accuracy of actuarial risk assessment instruments.

Behavioral sciences & the law·2013
Same author

Evaluating constructs represented by symptom validity tests in forensic neuropsychological assessment of traumatic brain injury.

The Journal of head trauma rehabilitation·2009
Same author

The test validation summary.

Assessment·2008
Same author

On the interpretation of below-chance responding in forced-choice tests.

Assessment·2007
Same author

Improving the clinical utility of the SIRS cognitive items: preliminary reliability, validity, and normative data in pretrial and clinical samples.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists·2006

Related Experiment Video

Updated: May 9, 2026

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

Rates of computational errors for scoring the SIRS primary scales.

Elizabeth A Tyner1, Richard I Frederick

  • 1Department of Psychology.

Psychological Assessment
|July 17, 2013
PubMed
Summary

Scoring errors are common in the Structured Interview of Reported Symptoms (SIRS). Approximately 35% of tests had errors, though corrections rarely changed classifications, suggesting a need for improved scoring strategies.

More Related Videos

Operant Procedures for Assessing Behavioral Flexibility in Rats
08:30

Operant Procedures for Assessing Behavioral Flexibility in Rats

Published on: February 15, 2015

Related Experiment Videos

Last Updated: May 9, 2026

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

Operant Procedures for Assessing Behavioral Flexibility in Rats
08:30

Operant Procedures for Assessing Behavioral Flexibility in Rats

Published on: February 15, 2015

Area of Science:

  • Psychological assessment
  • Clinical psychology
  • Psychometrics

Background:

  • The Structured Interview of Reported Symptoms (SIRS) is a widely used tool for assessing symptom validity.
  • Accurate scoring is crucial for reliable interpretation of psychological assessments.
  • Previous research suggests that scoring errors on psychological tests are prevalent.

Purpose of the Study:

  • To evaluate the frequency and impact of scoring errors in the SIRS.
  • To compare computer-generated scores with hand-tallied scores.
  • To identify strategies for minimizing scoring inaccuracies in the SIRS.

Main Methods:

  • Item scores from the SIRS were entered into a spreadsheet.
  • Computed scores were compared against examiner hand-tallied scores.
  • The impact of corrected errors on SIRS classifications was analyzed.

Main Results:

  • Approximately 35% of SIRS tests contained at least one scoring error.
  • About 8% of examiner-tallied SIRS scale scores were incorrectly summed.
  • Correcting identified errors led to a change in classification for only one case.

Conclusions:

  • Scoring errors in the SIRS are frequent but generally do not significantly alter diagnostic classifications.
  • The findings highlight the need for improved methods to reduce scoring errors in the SIRS.
  • Implementing strategies to enhance scoring accuracy is recommended for clinical practice.