A Systematic Method for the Selection of Independent Variables in the Investigation of Complex Systems

Merkle, Peter Jay; Beaudet, Douglas B.; Williges, Robert C.; Herlong, David W.; Williges, Beverly H.

doi:10.1177/154193128803201712

Cited by 4 publications

(1 citation statement)

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“…Both nonexperimental and experimental procedures were used to select these independent variables. Merkle, Beaudet, Williges, Herlong, and Williges (1988) used the set of non-experimental procedures listed on this slide to reduce the 94 independent variables listed on the previous slide to a candidate subset of 16 factors.…”

Section: Sequentialmentioning

confidence: 99%

Human Factors Experimental Design and Analysis Reference

Willages¹

2007

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Approved for public release; distribution is unlimited.ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)July 2007 ARL-RP-0186 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) SPONSOR/MONITOR'S REPORT NUMBERS DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTESThe contracting officer's representative (COR) is Sam Middlebrooks, U.S. Army Research Laboratory, ATTN: AMSRD-ARL-HR-MV, Fort Hood, TX, telephone number 254-288-9379. ABSTRACTCADRE (computer-aided design reference for experiments) is a desktop computer tool for human factors and ergonomic researchers. The tool is in Acrobat 1 format for cross-platform computer use and has more than 500 bookmarks for information search. This tool provides more than 850 Power-Point 2 note pages of applied experimental design and analysis reference material. The reference material covers 25 topics and is divided into five major sections including introduction to experimental design, supplemental data collection design and analysis, basic analysis of variance (ANOVA) designs, advanced ANOVA designs, and empirical model building. References to the scientific literature are provided in each topic for supplemental reading. The CADRE tool also provides more than 200 pages explaining 40 examples of statistical analyses covered by the reference material. These examples are hyperlinked to Version 9.1.3 of the SAS 3 (2004) statistical analysis software, and the sample SAS programs can be easily modified for user-specific data.

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Section: Sequentialmentioning

confidence: 99%

Human Factors Experimental Design and Analysis Reference

Willages¹

2007

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A paradigm for sequential experimentation

Han

Williges

1997

Ergonomics

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m odel; H um an system interface.M ost human factors design problem s involve larg e data spaces with so man y factors that a single experim ent investigating all of these factors sim ultaneously is unreasonable. A n alternative is the use of sequential experim entation. In this paper, an integrated research paradigm for sequential experim entation is presented. Speci® c m ethods and procedures are described for the four steps: planning research strategy, selecting, describing and optim izing design varia bles. A hypothetical example is provided to illustrate the use of the research paradigm . The usefulness of this overall strategy for sequential experim entation in conducting ergonom ics research is discussed.

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The Role of Screening Studies in Sequential Research Designs

Beaudet

Williges

1988

Proceedings of the Human Factors Society Annual Meeting

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A screening study is an economical method for analyzing a large number of independent variables using a relatively small number of data points. The role of screening studies in sequential research designs is discussed and demonstrated. The methodology for selecting variables, choosing an experimental design, and collecting data is presented by reviewing the results of a recent study. The screening study was conducted using a Hadamard matrix to investigate the effects of 16 variables on a telephone information system which uses synthetic speech as the display modality. Only 32 data points were required to evaluate 16 factors in the screening study. The results of this study are discussed in terms of strategies to conduct efficient sequential research in human factors.

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A Systematic Method for the Selection of Independent Variables in the Investigation of Complex Systems

Cited by 4 publications

References 1 publication

Human Factors Experimental Design and Analysis Reference

Human Factors Experimental Design and Analysis Reference

A paradigm for sequential experimentation

The Role of Screening Studies in Sequential Research Designs

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