David Bimler
Biographic Data
| ID | 125638 |
|---|---|
| NAME | David Bimler |
| GIVEN NAMES | David |
| FAMILY NAME | Bimler |
| SIGNATURE | BIMLER D |
| AFFILIATIONS | Massey University |
| ORCID | 0000-0003-2405-0697 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Cognitive Space and Its Variants: Alternative Associational Structures within Three Semantic Domains
Semantic domains can be considered in the light of prototype theory, making a distinction between ‘cultural’ and ‘natural kinds’. To sample this distinction, we compared the structure of three well-studied semantic domains in Estonian, a Finno-Ugric language: musical instruments, body parts and animal names. We used the method of listing to collect data which we analyse with the method of multidimensional scaling. Points-of-view analysis provides…
Two Indices Are Better than One: Building on Robbins, Nolan, and Chen (2017)
When informants from a given culture are asked to list items from a specified semantic domain, their lists provide two indicators of each term’s prominence or salience: its frequency of appearance across lists and its mean position within the lists that include it. Smith et al. (1995), Sutrop (2001), and most recently Robbins et al. (2017) have defined salience measures that combine these two sources of information. We argue that although frequen…
From Listing Data to Semantic Maps: Cross-Linguistic Commonalities in Cognitive Representation of Colour
When a free-listing task is used to elicit verbal concepts from a given semantic domain, it provides two indicators of the salience of each word for that linguistic community. These are the proportion of the subjects who include a word in their lists, and its average ranking priority position across the lists. The data also contain cues about the cognitive representation of the semantic domain, and in particular about the conceptual closeness amo…
Applying Points-of-View Analysis to Individual Variations in Colour Sorting Data
“Points-of-View” analysis has been promoted as an appropriate analysis for similarity data collected with the Method of Sorting. It can be regarded as an extension of Cultural Consensus Analysis ( cca ). The latter assumes that subjects all base their responses on a single shared ‘model’ of the items to be sorted (while varying in the level of reliability with which they consult that model). Conversely, the titular “points-of-view” are multiple m…
Subject Variations in Sorting Data: Revisiting the Points-of-View Model
“Cultural consensus analysis” (CCA) of similarity data involves analyzing the matrix of inter-subject correlations with Factor Analysis. If the pattern of correlations can be explained by a single dominant factor, one can assume that the subjects grouped the items according to a shared mental model – a cultural consensus – and their responses can safely be merged in subsequent stages of analysis. In the negative case where no consensus exists and…
Mapping the classroom emotional environment
Progress in Colour Studies, vol. 1: Language and Culture edited by Carole P. Biggam and Christian J. Kay
From Color Naming to a Language Space: An Analysis of Data from the World Color Survey
The World Color Survey was a large-scale cross-cultural experiment in which informants used the color lexicons of 110 non-written languages to label a standard set of stimuli. Here those data are explored with a novel analysis which focuses on the averaged location of boundaries within the stimulus set, revealing the system of color categories native to each language. A quantitative index of inter-language similarity was defined, comparing these …
Considering the Prevalence of the "Stimulus Error" in Color Naming Research
In "Does the Basic Color Terms discussion suffer from the Stimulus Error?" Rolf Kuehni describes a research stumbling block known as the "stimulus error," and hints at the difficulties it causes for mainstream color naming research (Kuehni, is Issue). Among the issues intrinsic to Kuehni's "stimulus error" description is the important question of what can generally be inferred from color naming behaviors based on bounded samples of empirical stim…
Are Color Categories Innate or Internalized? Hypotheses and Implications
The considerable agreement across languages in the way they categorize the color domain, despite independent historical development, demands an explanation. One option is to postulate a universal innate representation of the color categories, 'hardwired' into each observer's brain. An alternative is that observers internalize their color categories through a process of cultural (linguistic) transmission, constrained by some kind of 'optimality hy…
School Truants and Truancy Motivation Sorted out with Multidimensional Scaling
A combination of established and novel multivariate techniques was applied to the problem of school truancy. Informants described 104 truants they were acquainted with by ranking the applicability of 73 motives and causes for absence from school. Individual rankings were analyzed in the context of a multidimensional representation of the motives, derived from sorting data provided by other informants. Each ranking was interpreted as a three-dimen…
From Listing Data to Semantic Maps: Cross-Linguistic Commonalities in Cognitive Representation of Colour
When a free-listing task is used to elicit verbal concepts from a given semantic domain, it provides two indicators of the salience of each word for that linguistic community. These are the proportion of the subjects who include a word in their lists, and its average ranking priority position across the lists. The data also contain cues about the cognitive representation of the semantic domain, and in particular about the conceptual closeness amo…
Subject Variations in Sorting Data: Revisiting the Points-of-View Model
“Cultural consensus analysis” (CCA) of similarity data involves analyzing the matrix of inter-subject correlations with Factor Analysis. If the pattern of correlations can be explained by a single dominant factor, one can assume that the subjects grouped the items according to a shared mental model – a cultural consensus – and their responses can safely be merged in subsequent stages of analysis. In the negative case where no consensus exists and…
Mapping the classroom emotional environment
School Truants and Truancy Motivation Sorted out with Multidimensional Scaling
A combination of established and novel multivariate techniques was applied to the problem of school truancy. Informants described 104 truants they were acquainted with by ranking the applicability of 73 motives and causes for absence from school. Individual rankings were analyzed in the context of a multidimensional representation of the motives, derived from sorting data provided by other informants. Each ranking was interpreted as a three-dimen…
School Truants and Truancy Motivation Sorted out with Multidimensional Scaling
A combination of established and novel multivariate techniques was applied to the problem of school truancy. Informants described 104 truants they were acquainted with by ranking the applicability of 73 motives and causes for absence from school. Individual rankings were analyzed in the context of a multidimensional representation of the motives, derived from sorting data provided by other informants. Each ranking was interpreted as a three-dimen…
Are Color Categories Innate or Internalized? Hypotheses and Implications
The considerable agreement across languages in the way they categorize the color domain, despite independent historical development, demands an explanation. One option is to postulate a universal innate representation of the color categories, 'hardwired' into each observer's brain. An alternative is that observers internalize their color categories through a process of cultural (linguistic) transmission, constrained by some kind of 'optimality hy…
From Color Naming to a Language Space: An Analysis of Data from the World Color Survey
The World Color Survey was a large-scale cross-cultural experiment in which informants used the color lexicons of 110 non-written languages to label a standard set of stimuli. Here those data are explored with a novel analysis which focuses on the averaged location of boundaries within the stimulus set, revealing the system of color categories native to each language. A quantitative index of inter-language similarity was defined, comparing these …
Considering the Prevalence of the "Stimulus Error" in Color Naming Research
In "Does the Basic Color Terms discussion suffer from the Stimulus Error?" Rolf Kuehni describes a research stumbling block known as the "stimulus error," and hints at the difficulties it causes for mainstream color naming research (Kuehni, is Issue). Among the issues intrinsic to Kuehni's "stimulus error" description is the important question of what can generally be inferred from color naming behaviors based on bounded samples of empirical stim…
Progress in Colour Studies, vol. 1: Language and Culture edited by Carole P. Biggam and Christian J. Kay
Mapping the classroom emotional environment
Subject Variations in Sorting Data: Revisiting the Points-of-View Model
“Cultural consensus analysis” (CCA) of similarity data involves analyzing the matrix of inter-subject correlations with Factor Analysis. If the pattern of correlations can be explained by a single dominant factor, one can assume that the subjects grouped the items according to a shared mental model – a cultural consensus – and their responses can safely be merged in subsequent stages of analysis. In the negative case where no consensus exists and…
Applying Points-of-View Analysis to Individual Variations in Colour Sorting Data
“Points-of-View” analysis has been promoted as an appropriate analysis for similarity data collected with the Method of Sorting. It can be regarded as an extension of Cultural Consensus Analysis ( cca ). The latter assumes that subjects all base their responses on a single shared ‘model’ of the items to be sorted (while varying in the level of reliability with which they consult that model). Conversely, the titular “points-of-view” are multiple m…
From Listing Data to Semantic Maps: Cross-Linguistic Commonalities in Cognitive Representation of Colour
When a free-listing task is used to elicit verbal concepts from a given semantic domain, it provides two indicators of the salience of each word for that linguistic community. These are the proportion of the subjects who include a word in their lists, and its average ranking priority position across the lists. The data also contain cues about the cognitive representation of the semantic domain, and in particular about the conceptual closeness amo…
Two Indices Are Better than One: Building on Robbins, Nolan, and Chen (2017)
When informants from a given culture are asked to list items from a specified semantic domain, their lists provide two indicators of each term’s prominence or salience: its frequency of appearance across lists and its mean position within the lists that include it. Smith et al. (1995), Sutrop (2001), and most recently Robbins et al. (2017) have defined salience measures that combine these two sources of information. We argue that although frequen…
Cognitive Space and Its Variants: Alternative Associational Structures within Three Semantic Domains
Semantic domains can be considered in the light of prototype theory, making a distinction between ‘cultural’ and ‘natural kinds’. To sample this distinction, we compared the structure of three well-studied semantic domains in Estonian, a Finno-Ugric language: musical instruments, body parts and animal names. We used the method of listing to collect data which we analyse with the method of multidimensional scaling. Points-of-view analysis provides…
Categorization, perception, and language (9 works) · Psychology (9 works) · Computer Science (8 works) · Mathematics (5 works) · Artificial Intelligence (4 works) · Cognitive psychology (4 works) · Linguistics (4 works) · Language, Metaphor, and Cognition (3 works) · Multidimensional scaling (3 works) · Philosophy (3 works)