Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, attitudes, personality traits and educational achievement, which cannot be captured by a single variable. In this paper, we suggest a method based on the fuzzy set theory for the construction of a fuzzy synthetic index of the latent psychometric phenomenon, using the set of variables obtained with instruments such as questionnaires or tests. Criteria for assigning values to the membership function as well as criteria for defining the weights of the variables are discussed. For discrete variables, we use a fuzzy quantification method based on the sampling cumulative function. An application regarding the measurement of reading disability ...
In many fields of human activities such as economics, sustainable development, construction, human r...
In social science research, the Likert method is commonly used as a psychometric scale to measure re...
This paper deals with the construction of a fuzzy composite indicator of a latent phenomenon, using ...
Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, at...
Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, at...
Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, at...
Composite indicators should ideally identify multidimensional concepts that cannot be captured by a ...
Composite indicators should ideally identify multidimensional concepts that cannot be captured by a ...
In this paper, we suggest a method based on fuzzy set theory for te construction of fuzzy synthetic ...
In this paper, we suggest a method based on fuzzy set theory for te construction of fuzzy synthetic ...
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
This chapter develops a framework that uses fuzzy set theory in order to measure customersatisfactio...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
This chapter develops a framework that uses fuzzy set theory in order to measure customersatisfactio...
In many fields of human activities such as economics, sustainable development, construction, human r...
In many fields of human activities such as economics, sustainable development, construction, human r...
In social science research, the Likert method is commonly used as a psychometric scale to measure re...
This paper deals with the construction of a fuzzy composite indicator of a latent phenomenon, using ...
Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, at...
Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, at...
Psychometrics should ideally measure multidimensional concepts like skills, knowledge, abilities, at...
Composite indicators should ideally identify multidimensional concepts that cannot be captured by a ...
Composite indicators should ideally identify multidimensional concepts that cannot be captured by a ...
In this paper, we suggest a method based on fuzzy set theory for te construction of fuzzy synthetic ...
In this paper, we suggest a method based on fuzzy set theory for te construction of fuzzy synthetic ...
[[abstract]]In a population, when rating item is a linguistic variable, the sample mode in the fuzzy...
This chapter develops a framework that uses fuzzy set theory in order to measure customersatisfactio...
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and ...
This chapter develops a framework that uses fuzzy set theory in order to measure customersatisfactio...
In many fields of human activities such as economics, sustainable development, construction, human r...
In many fields of human activities such as economics, sustainable development, construction, human r...
In social science research, the Likert method is commonly used as a psychometric scale to measure re...
This paper deals with the construction of a fuzzy composite indicator of a latent phenomenon, using ...