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J Gabriel Molina

Biographic Data

ID7124345
NAMEJ Gabriel Molina
GIVEN NAMESJ Gabriel
FAMILY NAMEMolina
SIGNATUREMOLINA J G
AFFILIATIONSUniversitat de València
ORCID0000-0001-9982-2933
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1993
LATEST PUBLICATION YEAR2009
H-INDEX0
  • Further Examination of the Organizational Culture Scale of Artifacts

    Open Access•Tomás Bonavía, J Gabriel Molina et al.•ARTICLE•Psychological Reports•2009

    The construct validity of a 10-item scale oriented to measure traditional culture, the Organizational Culture Scale of Artifacts, was analyzed under the hypothesis of unidimensionality. Confirmatory factor analysis took into account the method effects associated with reverse-worded items. Based on the data from one-half of a sample of 926 participants (79.8% male; M age = 33.4 yr., SD = 12.8), working in different companies supported a unidimensi…

  • Computing Sum of Products about the Mean with Pairwise Algorithms

    Open Access•J Gabriel Molina, Pedro Valero et al.•ARTICLE•Psychological Reports•1997

    We discuss pairwise algorithms, a kind of computational algorithm which can be useful in dynamically updating statistics as new samples of data are collected. Since test data are usually collected through time as individual data sets, these algorithms would be profitably used in computer programs to treat this situation. Pair-wise algorithms are presented for calculating the sum of products of deviations about the mean for adding a sample of data…

  • A Basic Program for Calculating Scale Values Using Four Unidimensional Scaling Methods in Random Subsamples

    Open Access•J Gabriel Molina, Jose L Melia et al.•ARTICLE•Educational and Psychological…•1993

    This MS BASIC program calculates and stores for further analysis scale values obtained from random subsamples using four unidimensional scaling methods: Dunn-Rankin's variance stable rank sums, Thurstone's case V (paired comparisons), Thurstone-Chave's IAI, and Green's successive categories

No prominent works on this page.

  • A Basic Program for Calculating Scale Values Using Four Unidimensional Scaling Methods in Random Subsamples

    Open Access•J Gabriel Molina, Jose L Melia et al.•ARTICLE•Educational and Psychological…•1993

    This MS BASIC program calculates and stores for further analysis scale values obtained from random subsamples using four unidimensional scaling methods: Dunn-Rankin's variance stable rank sums, Thurstone's case V (paired comparisons), Thurstone-Chave's IAI, and Green's successive categories

  • Computing Sum of Products about the Mean with Pairwise Algorithms

    Open Access•J Gabriel Molina, Pedro Valero et al.•ARTICLE•Psychological Reports•1997

    We discuss pairwise algorithms, a kind of computational algorithm which can be useful in dynamically updating statistics as new samples of data are collected. Since test data are usually collected through time as individual data sets, these algorithms would be profitably used in computer programs to treat this situation. Pair-wise algorithms are presented for calculating the sum of products of deviations about the mean for adding a sample of data…

  • Further Examination of the Organizational Culture Scale of Artifacts

    Open Access•Tomás Bonavía, J Gabriel Molina et al.•ARTICLE•Psychological Reports•2009

    The construct validity of a 10-item scale oriented to measure traditional culture, the Organizational Culture Scale of Artifacts, was analyzed under the hypothesis of unidimensionality. Confirmatory factor analysis took into account the method effects associated with reverse-worded items. Based on the data from one-half of a sample of 926 participants (79.8% male; M age = 33.4 yr., SD = 12.8), working in different companies supported a unidimensi…

Mathematics (3 works) · Statistics (3 works) · Advanced Statistical Methods and Models (2 works) · Computer Science (2 works) · Geography (2 works) · Psychology (2 works) · Sample (material (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)

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