Many questionnaires related to Social Sciences, Medical Diagnosis, Control Engineering, etc. are based on the well-known Likert scales. For its statistical data analysis each categorical response is usually encoded by an integer number. In this paper the convenience of allowing respondents to reply by using a free-response format based on the scale of fuzzy numbers is discussed by developing a comparative study through the mean 1-norm error on the representativeness of the corresponding median for the fuzzy and the integer-encoded Likert scales cases. © Springer-Verlag 2013.status: publishe
International audienceThis paper presents how a representation with fuzzy subsets of symbols can be ...
Vougiouklis & Vougiouklis have proposed the replacement of Likert scales, usually used in questionna...
The measuring of individuals' perceptions, attitudes and opinions using rating scales is a core appr...
The ohjective of this article is to suggest the application of fuzzy set theory to issues in scale d...
In social science research, the Likert method is commonly used as a psychometric scale to measure re...
The fuzzy TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) is an attra...
Schwarz N, Bless H, Bohner G, Harlacher U, Kellenbenz M. Response scales as frames of reference: the...
In this contribution we describe a novel procedure to represent uncertainty in rating scales in term...
Argues that the selection of response categories for summated rating (Likert) scales is often made a...
Modeling fuzziness and imprecision in human rating data is a crucial problem in many research areas,...
In several research areas, ratings data and response times have been successfully used to unfold the...
Background: The fuzzy rating scale was introduced to cope with the imprecision of human thought and ...
Social scientists around the world commonly use the Likert scale. The scale has some limitations; in...
In psychological research, many questionnaires use verbal response scales with vague linguistic term...
Hedonic point scales are widely used in food preference studies. However, in this type of scale, the...
International audienceThis paper presents how a representation with fuzzy subsets of symbols can be ...
Vougiouklis & Vougiouklis have proposed the replacement of Likert scales, usually used in questionna...
The measuring of individuals' perceptions, attitudes and opinions using rating scales is a core appr...
The ohjective of this article is to suggest the application of fuzzy set theory to issues in scale d...
In social science research, the Likert method is commonly used as a psychometric scale to measure re...
The fuzzy TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) is an attra...
Schwarz N, Bless H, Bohner G, Harlacher U, Kellenbenz M. Response scales as frames of reference: the...
In this contribution we describe a novel procedure to represent uncertainty in rating scales in term...
Argues that the selection of response categories for summated rating (Likert) scales is often made a...
Modeling fuzziness and imprecision in human rating data is a crucial problem in many research areas,...
In several research areas, ratings data and response times have been successfully used to unfold the...
Background: The fuzzy rating scale was introduced to cope with the imprecision of human thought and ...
Social scientists around the world commonly use the Likert scale. The scale has some limitations; in...
In psychological research, many questionnaires use verbal response scales with vague linguistic term...
Hedonic point scales are widely used in food preference studies. However, in this type of scale, the...
International audienceThis paper presents how a representation with fuzzy subsets of symbols can be ...
Vougiouklis & Vougiouklis have proposed the replacement of Likert scales, usually used in questionna...
The measuring of individuals' perceptions, attitudes and opinions using rating scales is a core appr...