The Constant-Sum Method Applied to Scaling Subjective Dimensions

Dudek, Frank J.; Baker, Katherine

doi:10.2307/1419084

Cited by 13 publications

(5 citation statements)

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“…The relation between the ratio scale and the category scale was typical of the relation found on prothetic continua. (For these first results, see Stevens, 1961a; for an earlier related study, see Dudek & Baker, 1956. ) The next study was an exercise in which two students, C. S. Harris and J. P. McMahon,asked 12 Os to judge the smoothness of the stimuli instead of the roughness.…”

mentioning

confidence: 95%

The scaling of subjective roughness and smoothness.

Stevens¹,

Harris²

1962

Journal of Experimental Psychology

167

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mentioning

confidence: 95%

The scaling of subjective roughness and smoothness.

Stevens¹,

Harris²

1962

Journal of Experimental Psychology

167

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“…Quantitative and qualitative data can be processed on a ratio scale, which makes the method useful for verifying objectivity through the process of secondary processing of data [27,28]. CSS provides a consistent fixed total score to respondents and divides the score according to the relative importance of the attributes within the total score [29]. The score used for the total fixed scale is usually 10 or 100 based on the number of factors and indicators.…”

Section: Methodology For Assigning Weightsmentioning

confidence: 99%

A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA)

et al. 2019

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Floods are natural disasters that should be considered a top priority in disaster management, and various methods have been developed to evaluate the risks. However, each method has different results and may confuse decision-makers in disaster management. In this study, a flood risk assessment method is proposed to integrate various methods to overcome these problems. Using factor analysis and principal component analysis (PCA), the leading indicators that affect flood damage were selected and weighted using three methods: the analytic hierarchy process (AHP), constant sum scale (CSS), and entropy. However, each method has flaws due to inconsistent weights. Therefore, a Bayesian network was used to present the integrated weights that reflect the characteristics of each method. Moreover, a relationship is proposed between the elements and the indicators based on the weights called the Integrated Index for Flood Risk Assessment (InFRA). InFRA and other assessment methods were compared by receiver operating characteristics (ROC)-area under curve (AUC) analysis. As a result, InFRA showed better applicability since InFRA was 0.67 and other methods were less than 0.5.

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“…Scaling method. The constant-sum method has been utilized with some success in connection with the scaling of various kinds of subjective and psychophysical dimensions (Baker & Dudek, 1955, 1957Dudek & Baker, 1956). Details of the procedure are reported by Baker and Dudek (1955, pp.…”

Section: Methodsmentioning

confidence: 99%

Scaling preferences for television shows.

Dudek¹,

Thoman²

1964

Journal of Applied Psychology

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The constant-sum method of psychological scaling was applied to the problem of determining scale values for the dimension of liking for 18 television shows. 2 groups (N = 376 and 384) of relatively homogeneous Ss were employed. Groups came from different geographic areas. Stability of stimulus scale values is demonstrated when each group is divided into 2 samples and scales determined for each sample. Scales from the 2 groups are compared, and correlations are determined between CSM scale values and commercial survey ratings.

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The Constant-Sum Method Applied to Scaling Subjective Dimensions

Cited by 13 publications

References 0 publications

The scaling of subjective roughness and smoothness.

The scaling of subjective roughness and smoothness.

A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA)

Scaling preferences for television shows.

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