Results 41 to 50 of about 374,550 (337)
Individual subjects’ ratings neither are metric nor have homogeneous meanings, consequently digital- labeled collections of subjects’ ratings are intrinsically ordinal and categorical.
Emanuela Furfaro, Fushing Hsieh
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Airline Ranking Using Social Feedback and Adapted Fuzzy Belief TOPSIS
In the era of digital interconnectivity, user-generated reviews on platforms such as TripAdvisor have become a valuable source of social feedback, reflecting collective experiences and perceptions of airline services.
Ewa Roszkowska +1 more
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Residual and forecast methods in time series models with covariates [PDF]
We are dealing with time series which are measured on an arbitrary scale, e.g. on a categorical or ordinal scale, and which are recorded together with time varying covariates.
Pruscha, H.
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Determining the Factors Affecting the Psychological Distance Between Categories in the Rating Scale
In this study, the assumption of the equality of psychological distance between categories of rating scale was tested based on the number of categories and ability distributions.
Gözde SIRGANCI, Gizem UYUMAZ
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Cardiac Depression Scale: Mokken scaling in heart failure patients [PDF]
Background: There is a high prevalence of depression in patients with heart failure (HF) that is associated with worsening prognosis. The value of using a reliable and valid instrument to measure depression in this population is therefore essential.
Hare, David L. +4 more
core +4 more sources
Statistical Determination of Impact of Property Attributes for Weak Measurement Scales
Many of the property attributes are measured on weak scales (nominal and ordinal scale). For example, land allocation in the development plan is measured on a nominal scale and such categories as proximity, equipment, access to means of communication ...
Doszyń Mariusz
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Questionnaire data plays a key role in social research, especially when evaluating public attitudes using Likert-type scales. Yet, traditional analyses often merge some ordinal categories and exclude responses such as Don’t Know, No Answer, or Refused ...
Ewa Roszkowska
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Deep Ordinal Reinforcement Learning
Reinforcement learning usually makes use of numerical rewards, which have nice properties but also come with drawbacks and difficulties. Using rewards on an ordinal scale (ordinal rewards) is an alternative to numerical rewards that has received more ...
C Wirth, CJ Watkins, RS Sutton, V Mnih
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A Monte Carlo Simulation Study to Assess Estimation Methods in CFA on Ordinal Data
Likert-type scale data are ordinal data and are commonly used to measure latent constructs in the educational, social, and behavioral sciences. The ordinal observed variables are often treated as continuous variables in factor analysis, which may cause ...
Nina Fitriyati, Madona Yunita Wijaya
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Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source

