Related Concept Videos
Reliability and Validity
13.3K
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.
13.3K
Surveys
16.1K
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.
16.1K
Response Surface Methodology
315
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
315
Statistical Analysis: Overview
9.3K
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...
9.3K
Self-Report Tests of Personality
495
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.
495
Measures of Intelligence
7.9K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.9K
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Sort by
Same author
Comparing Methods for Assessing Reliability.
Journal of survey statistics and methodology·2021
Related Experiment Video
Updated: Oct 9, 2025

08:27
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
7.0K
Survey Reliability: Models, Methods, and Findings.
1is with Westat Inc., Survey Methodology Unit, USA.
Summary
Assessing survey data reliability is crucial but often overlooked. This study compares methods for measuring response reliability, finding consistent determinants despite methodological differences.
Area of Science:
- Survey Methodology
- Psychometrics
- Statistical Modeling
Background:
- Reliability is essential for survey data quality.
- Few studies have assessed response reliability in national surveys.
- Diverse approaches exist for measuring survey response reliability.
Purpose of the Study:
- To contrast psychological and statistical models for estimating survey response reliability.
- To review major findings on reliability determinants.
- To examine the validity of different reliability estimation methods.
Main Methods:
- Comparison of psychological theory with statistical models (reinterview, multi-trait multi-method, panel data).
- Literature review of reliability findings.
- Correlation analysis of reliability estimates from different methods.
More Related Videos
Main Results:
- Respondent and question characteristics consistently emerge as key reliability determinants across methods.
- Sophisticated statistical models' empirical claims are not strongly supported.
- Traditional reinterview studies show some validity support.
Conclusions:
- Survey response reliability is an understudied but critical area.
- Methodological differences in reliability estimation yield convergent findings on determinants.
- Further research on survey question reliability is needed.

