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The Army Alpha is a group-administered test developed by Robert Yerkes and six others in order to evaluate the many U.S. military recruits during World War I. [1] It was first introduced in 1917 due to a demand for a systematic method of evaluating the intellectual and emotional functioning of soldiers.
A source is assessed for reliability based on a technical assessment of its capability, or in the case of Human Intelligence sources their history. Notation uses Alpha coding, A-F: Reliability of Source [2] A - Completely reliable: No doubt of authenticity, trustworthiness, or competency; has a history of complete reliability
The source reliability is rated between A (history of complete reliability) to E (history of invalid information), with F for source without sufficient history to establish reliability level. The information content is rated between 1 (confirmed) to 5 (improbable), with 6 for information whose reliability can not be evaluated.
The Alpha test was a verbal test for literate recruits and was divided into eight test categories, which included: following oral directions, arithmetical problems, practical judgments, synonyms and antonyms, disarranged sentences, number series completion, analogies and information, [10] whereas the Beta test was a nonverbal test used for ...
The Army Beta 1917 is the non-verbal complement of the Army Alpha—a group-administered test developed by Robert Yerkes and six other committee members to evaluate some 1.5 million military recruits in the United States during World War I. The Army used it to evaluate illiterate, unschooled, and non-English speaking army recruits.
Cronbach's alpha (Cronbach's ), also known as tau-equivalent reliability or coefficient alpha (coefficient ), is a reliability coefficient and a measure of the internal consistency of tests and measures. [1] [2] [3] It was named after the American psychologist Lee Cronbach.
Mace contends that Alpha Genesis has a history of violating federal laws and policies and questions the effectiveness of the USDA's and NIH's oversight and use of tens of millions of taxpayer dollars.
In statistics, inter-rater reliability (also called by various similar names, such as inter-rater agreement, inter-rater concordance, inter-observer reliability, inter-coder reliability, and so on) is the degree of agreement among independent observers who rate, code, or assess the same phenomenon.