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Conceptual Foundations of Human Factors Measurement (Human Factors and Ergonomics)
 
 

Conceptual Foundations of Human Factors Measurement (Human Factors and Ergonomics) [Hardcover]

David Meister (Author)


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Book Description

0805841350 978-0805841350 September 1, 2003 1
David Meister, in his latest volume, sets explores the uncharted depths behind the most common practices and most basic principles of Human Factors (HF) and its measurement process. Seeking to question the status quo, he asks what significant changes have occurred in the discipline since its inception and what capabilities have been developed. To what extent have HF design specialists made use of research outputs and how do these outputs contribute to system design? Neither didactic nor stodgy, this book examines the conceptual foundations of customary measurement practices and stimulates readers to ask their own questions. In a field with much unknown territory, Meister has provided a necessary exploration guide.

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Product Details

  • Hardcover: 244 pages
  • Publisher: Lawrence Erlbaum Associates; 1 edition (September 1, 2003)
  • Language: English
  • ISBN-10: 0805841350
  • ISBN-13: 978-0805841350
  • Product Dimensions: 8.7 x 6.2 x 0.8 inches
  • Shipping Weight: 1.1 pounds
  • Amazon Best Sellers Rank: #3,554,750 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
Because of the unique characteristics of the human factors (HF) discipline, its measurement also has special characteristics. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
other objective methods, human error model, conceptual researchers, individual subject differences, molecular stimuli, other measurement methods, measurement situation, judgmental methods, human performance models, predecessor system, invisible mechanisms, operational statistics, pragmatic assumptions, nontechnical factors, conceptual study, personnel performance, conceptual studies, internal status, measurement practices, research utility, research users, median rank, subjective performance
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