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Related Concept Videos

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.
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.
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

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.
Measures of Intelligence01:29

Measures of Intelligence

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; it...

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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Effects of validity screening items on adolescent survey data.

Dewey Cornell1, Jennifer Klein, Tim Konold

  • 1Curry School of Education, University of Virginia, Charlottesville 22904-4270, USA. dcornell@virginia.edu

Psychological Assessment
|August 10, 2011
PubMed
Summary

Validity screening items improve adolescent survey data quality. Removing invalid responses significantly lowers reported risk behaviors and enhances school climate data accuracy.

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Development of a Virtual Reality Assessment of Everyday Living Skills
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Area of Science:

  • Psychology
  • Educational Research
  • Survey Methodology

Background:

  • Adolescent survey data quality is crucial for accurate research.
  • Validity screening items are used to identify inattentive or untruthful respondents.
  • Previous research has not fully explored the impact of these screeners on adolescent data.

Purpose of the Study:

  • To examine the effectiveness of validity screening items in adolescent surveys.
  • To assess the impact of removing invalid responders on prevalence rates and factor structures.
  • To compare the perceptions of valid versus invalid responders regarding school climate.

Main Methods:

  • Two studies involving adolescent survey respondents.
  • Inclusion of direct questions about truthfulness and attention.
  • Statistical analyses including confirmatory factor analysis, multigroup factor analysis, and bootstrap resampling.

Main Results:

  • Screening out invalid responders significantly reduced reported student risk behaviors in Study 1.
  • Factor structures of school climate scales differed significantly between valid and invalid responders.
  • Valid responders reported more positive views of school conditions and yielded higher correlations with teacher perceptions in Study 2.

Conclusions:

  • Validity screening items are valuable tools for enhancing the quality of adolescent survey data.
  • Excluding invalid responses leads to more accurate estimates of behaviors and perceptions.
  • The findings support the routine use of validity screening items in research with adolescent populations.