Related Experiment Video
Updated: Jul 23, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Measuring injury risk factors: question reliability in a statewide sample
J Koziol-McLain1, D Brand, D Morgan
1School of Nursing, Johns Hopkins University, Baltimore, MD 21205-2110, USA. jkoziol-mclain@son.jhmi.edu
Summary
The Behavioral Risk Factor Surveillance System (BRFSS) injury questions in Colorado show high reliability. These questions accurately measure injury risks and behaviors for public health surveillance.
Area of Science:
- Public Health
- Epidemiology
- Behavioral Science
Background:
- Colorado integrated 15 injury-related questions into the Behavioral Risk Factor Surveillance System (BRFSS) between 1996-1998.
- These questions covered critical areas including bicycle safety, traffic incidents, violence exposure, suicidal ideation, and firearm storage.
Purpose of the Study:
- To assess the test-retest reliability of newly implemented injury-related questions within the BRFSS.
- To validate the consistency of data collected on injury risks and behaviors.
Main Methods:
- A subset of 229 participants from the initial 330 BRFSS respondents were re-interviewed.
- Nine selected injury-related questions were re-administered to assess reliability.
- Retest interviews were conducted within a 7 to 28-day interval following the initial survey.
Main Results:
- Excellent test-retest agreement (kappa >0.80) was observed for questions on bicycle helmet use, domestic violence incidents requiring police intervention, and gun ownership.
- Substantial agreement (kappa >0.60) was found for the remaining injury risk and behavior questions.
Conclusions:
- The injury-related questions incorporated into the Colorado BRFSS demonstrate high test-retest reliability.
- These validated questions are suitable for ongoing public health surveillance of injury risks and behaviors.
Related Concept Videos
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.
Introduction to Test of Independence
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Hypothesis Test for Test of Independence
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
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...
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...
Relative Risk
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Hazard Rate
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...