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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Types of Records II: Educational and Administrative Records01:18

Types of Records II: Educational and Administrative Records

Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned:
Reliability and Validity01:29

Reliability and Validity

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.
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...

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Related Experiment Video

Updated: Jul 10, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Reporting subscores for institutions.

Shelby Haberman1, Sandip Sinharay, Gautam Puhan

  • 1Educational Testing Service, Princeton, NJ 08541, USA. ssinharay@ets.org

The British Journal of Mathematical and Statistical Psychology
|October 17, 2007
PubMed
Summary

Reporting institutional subscores from large assessments offers little added value over total scores. This study proposes a new statistical method to evaluate subscore utility, finding minimal benefit for examinees or institutions.

Related Experiment Videos

Last Updated: Jul 10, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Statistical Analysis

Background:

  • Increasing interest in reporting subscores for components of larger assessments.
  • Focus on the aggregate level, particularly for institutions.
  • Need to evaluate the added value of subscores over total scores.

Purpose of the Study:

  • To examine the issue of reporting subscores at an aggregate institutional level.
  • To propose a new statistical approach to assess the added value of institutional subscores.
  • To determine if institutional subscores provide additional information beyond total scores.

Main Methods:

  • Development of a new statistical approach based on classical test theory.
  • Application of the proposed methods to two operational data sets.
  • Analysis to assess the added value of subscores at the institutional level.

Main Results:

  • Observed results provided little support for reporting subscores at the examinee level.
  • The study found minimal evidence favouring the reporting of subscores at the institutional level.
  • The added value of institutional subscores over total scores was found to be limited.

Conclusions:

  • Reporting subscores at the institutional level offers limited added value compared to total scores.
  • The proposed classical test theory-based approach indicates minimal benefit from institutional subscores.
  • Further research may be needed to explore alternative methods for utilizing subscore information effectively.