Facet Theory

Shye, Samuel

doi:10.1002/0471667196.ess1042

Cited by 5 publications

(12 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, drawing from different branched of mathematics -logic, geometry, and algebra -FAST suggests mathematical language and tools suitable for investigating systems as complex network of interactions (rather than as a heap of causal mechanisms). These mathematical procedures have been developed largely within the field of facet design and analysis proposed as a methodological paradigm for behavioral research Guttman, 1959aGuttman, , b, 1968Shye, 1978aShye, , b, 1985bShye, , 1998Shye, , 1999Shye, , 2008a.…”

Section: Discussionmentioning

confidence: 99%

“…Faceted action system theory (FAST) is a general theory, or metatheory, which, on the basis of elementary considerations, identifies the generic functioning modes of behavioral systems: conservative, integrative, adaptive, and expressive (Shye, 1985a). The application of FAST to specific system types (such as human individuals, organizations) facilitates: (a) The systematic construction/selection of observational variables for systems' functioning (b) The generation of testable hypotheses about the structure of a system (c) A theory-based measurement of systems' functioning effectiveness (systems' quality) For these purposes, FAST employs basic logical considerations, simple geometry, and elementary algebra as embodied in modern facet approach to research design and data analysis Shye, 1985bShye, , 1989Shye, , 1999.…”

Section: Definitionmentioning

confidence: 99%

“…In a proper application of ▶ Faceted SSA to system analysis, this means that not only every systemic variable is mapped into a point in the topological manifold (as in any MDS analysis) but, moreover, every point in that manifold represents a possible systemic variable, and the mapping is homeomorphic. This is the continuity principle (Shye, 1971(Shye, , 1998(Shye, , 1999. Intuitively this means that continuity in meanings of system variables is reflected by continuity in the geometric space and vice versa.…”

Section: Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

Florence, Quality of Life

Maggino

2014

Encyclopedia of Quality of Life and Well-Being Research

View full text Add to dashboard Cite

congress of psychology (pp. 130-132). Brussels, Belgium: North-Holland. Guttman, L. (1968). A general non-metric technique for finding the smallest coordinate space for a configuration of points. Psychometrika, 33, 469-506. Guttman, L. (1982). What is not what in theory construction. In R. M. Hauser, D. Mechanic, & A. Haller (Eds.), Social structure and behavior (pp. 331-348). New York: Academic Press. Guttman, L. (1991). The language of science. In In Memoriam: Chapters from an unfinished textbook on facet theory (pp.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Definitionmentioning

confidence: 99%

Section: Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Florence, Quality of Life

Maggino

2014

Encyclopedia of Quality of Life and Well-Being Research

View full text Add to dashboard Cite

show abstract

“…Work values represent an organizing construct (Lyons et al, 2010), which, unlike more focused constructs, measure a broad psychological phenomenon by examining patterns among a theoretically limitless number of work-related indicators (Pryor, 1979;Shye, Elizur, & Hoffman, 1994). In this way, it is similar to the construct of personality, which is represented by a seemingly infinite number of descriptive individual traits.…”

Section: Resultsmentioning

confidence: 99%

Work values in tourism: Past, present and future

Papavasileiou

Lyons

Shaw

et al. 2017

Annals of Tourism Research

View full text Add to dashboard Cite

Although work values are important psychological variables in organisations, little research has been done to clarify the way in which work values are conceptualised. We address the need within the field to understand and engage with wider debates within social science literature by presenting an up-to-date review of work values in tourism research and a synthesis of paradigms pertaining to established value models and theories. We reconceptualise work values as a second-order projection of intrinsic, extrinsic, prestige and social types of values in the work settings of tourism. We then test the conceptual validity of this model through exploratory and confirmatory factor analysis using data from Japanese tourism workers.

show abstract

“…As a meta-theory for multivariate behavioral research, Facet Theory (Guttman 1957;Shye, 1978;1999;Shye & Elizur, 1995) aims to improve the stability (replicability) of scientific results by acknowledging that observed variables in behavioral research typically form but a sample from an infinite, or a very large number, of variables that make up the intended domain of investigation (the content universe). Consequently, Facet Theory proposes techniques for sampling variables (from the entire content universe) and making inferences (from the sampled variables to the entire content universe) as follows:…”

Section: Facet Theory For Decision-making Researchmentioning

confidence: 99%

Challenge Theory: The Structure and Measurement of Risky Binary Choice Behavior

Shye¹,

Haber²

2020

Preprint

Self Cite

View full text Add to dashboard Cite

Challenge Theory (Shye & Haber 2015;2020) has demonstrated that a newly devised challenge index (CI) attributable to every binary choice problem predicts the popularity of the bold option, the one of lower probability to gain a higher monetary outcome (in a gain problem); and the one of higher probability to lose a lower monetary outcome (in a loss problem). In this paper we show how Facet Theory structures the choice-behavior concept-space and yields rationalized measurements of gambling behavior. The data of this study consist of responses obtained from 126 student, specifying their preferences in 44 risky decision problems. A Faceted Smallest Space Analysis (SSA) of the 44 problems confirmed the hypothesis that the space of binary risky choice problems is partitionable by two binary axial facets: (a) Type of Problem (gain vs. loss); and (b) CI (Low vs. High). Four composite variables, representing the validated constructs: Gain, Loss, High-CI and Low-CI, were processed using Multiple Scaling by Partial Order Scalogram Analysis with base Coordinates (POSAC), leading to a meaningful and intuitively appealing interpretation of two necessary and sufficient gambling-behavior measurement scales.[( 0 , 0 ), ( 1 , 1 )] = 0 | 0 | 1 | 1 | ( 0 ( 0 ) − 1 ( 1 ))

show abstract

Facet Theory

Cited by 5 publications

References 26 publications

Florence, Quality of Life

Florence, Quality of Life

Work values in tourism: Past, present and future

Challenge Theory: The Structure and Measurement of Risky Binary Choice Behavior

Contact Info

Product

Resources

About