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Frank J Carmone

Biographic Data

ID103650
NAMEFrank J Carmone
GIVEN NAMESFrank J
FAMILY NAMECarmone
SIGNATURECARMONE F J
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1971
LATEST PUBLICATION YEAR1977
H-INDEX1
  • Segment Congruence Analysis

    Paul E Green, Frank J Carmone•ARTICLE•Journal of Consumer Research•1977•Cited by: 1

    Multidimensional contingency table analysis is applied to questions of which set of variables should constitute the distinguished base from which segments are formed. Empirical applications that illustrate a general analytical approach and possible uses of the methodology in segmentation studies of consumer behavior are also discussed

  • Consumer Segmentation via Latent Class Analysis

    Paul E Green, Frank J Carmone et al.•ARTICLE•Journal of Consumer Research•1976•Cited by: 1

    A nontechnical description of latent class analysis and a discussion of the CANDECOMP procedure and its application to consumer adoption of a new telecommunications service is presented with some suggestions for other areas in consumer and market research where latent class analysis might be of use

  • The Effect of Task on Intra-Individual Differences in Similarities Judgments

    Paul Green, Frank J Carmone•ARTICLE•Multivariate Behavioral Research•1971

    In a recent MBR article (1969), Fenker and Brown discuss the relationship between task spaces and conceptual space in the multidimensional scaling of similarities judgments. This article extends some of their research to the case of multiple judges and real stimuli: a set of 20 bakery-type food items. In addition, we examine the relationship between overall similarities judgments and task-specified similarities judgments

  • Segment Congruence Analysis

    Paul E Green, Frank J Carmone•ARTICLE•Journal of Consumer Research•1977•Cited by: 1

    Multidimensional contingency table analysis is applied to questions of which set of variables should constitute the distinguished base from which segments are formed. Empirical applications that illustrate a general analytical approach and possible uses of the methodology in segmentation studies of consumer behavior are also discussed

  • Consumer Segmentation via Latent Class Analysis

    Paul E Green, Frank J Carmone et al.•ARTICLE•Journal of Consumer Research•1976•Cited by: 1

    A nontechnical description of latent class analysis and a discussion of the CANDECOMP procedure and its application to consumer adoption of a new telecommunications service is presented with some suggestions for other areas in consumer and market research where latent class analysis might be of use

  • The Effect of Task on Intra-Individual Differences in Similarities Judgments

    Paul Green, Frank J Carmone•ARTICLE•Multivariate Behavioral Research•1971

    In a recent MBR article (1969), Fenker and Brown discuss the relationship between task spaces and conceptual space in the multidimensional scaling of similarities judgments. This article extends some of their research to the case of multiple judges and real stimuli: a set of 20 bakery-type food items. In addition, we examine the relationship between overall similarities judgments and task-specified similarities judgments

  • Consumer Segmentation via Latent Class Analysis

    Paul E Green, Frank J Carmone et al.•ARTICLE•Journal of Consumer Research•1976•Cited by: 1

    A nontechnical description of latent class analysis and a discussion of the CANDECOMP procedure and its application to consumer adoption of a new telecommunications service is presented with some suggestions for other areas in consumer and market research where latent class analysis might be of use

  • Segment Congruence Analysis

    Paul E Green, Frank J Carmone•ARTICLE•Journal of Consumer Research•1977•Cited by: 1

    Multidimensional contingency table analysis is applied to questions of which set of variables should constitute the distinguished base from which segments are formed. Empirical applications that illustrate a general analytical approach and possible uses of the methodology in segmentation studies of consumer behavior are also discussed

Computer Science (3 works) · Tensor decomposition and applications (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Business (2 works) · Machine learning (2 works) · Psychology (2 works) · Segmentation (2 works) · Social Psychology (2 works) · Advertising (1 work)

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