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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.
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...
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.
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.

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Related Experiment Videos

Pre-employment integrity testing across multiple industries.

Saul Fine1

  • 1Midot, Ltd., 11 Ben Gurion St., Vita Towers, Bnei Brak, 51260, Israel. saul@midot.co.il

Psychological Reports
|December 2, 2010
PubMed
Summary
This summary is machine-generated.

Integrity tests effectively predict counterproductive work behaviors across various industries. These assessments show no adverse impact based on demographic factors, making them valuable for diverse organizations.

Related Experiment Videos

Area of Science:

  • Industrial-Organizational Psychology
  • Human Resource Management
  • Personnel Selection

Background:

  • Limited comparative research exists on the validity of integrity measures across different industries.
  • Previous meta-analyses confirm the general utility of integrity tests.

Observation:

  • A study examined integrity test validities within specific industries using a sample of 2456 Israeli job applicants.
  • The research focused on the correlation between integrity scores and self-reported counterproductive work behaviors.

Findings:

  • Integrity scores demonstrated significant correlations with counterproductive work behaviors across eight distinct industries.
  • No adverse impact was observed concerning gender, age, or national origin, indicating fairness in assessment.

Implications:

  • The findings offer practical guidance for organizations utilizing integrity tests in diverse workforces.
  • These results support the use of integrity measures for improving personnel selection and reducing workplace deviance.