Michael Y Hu
Biographic Data
| ID | 6031423 |
|---|---|
| NAME | Michael Y Hu |
| GIVEN NAMES | Michael Y |
| FAMILY NAME | Hu |
| SIGNATURE | HU M Y |
| AFFILIATIONS | Kent State University |
| ORCID | 0000-0002-3718-7169 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Bigger is not always better
When trained to place high probability on a training corpus, neural network language models can learn a surprising amount about language. Recent work has demonstrated that large performance improvements can arise from simply increasing, i.e., scaling, the size of the corpora they are trained on and the number of parameters in those models. Accordingly, many contemporary systems are trained on trillions of words. While largely beneficial to perfor…
Cultural differences in vertical brand extension evaluations
Purpose The paper examines the cultural differences in consumers' evaluations of vertical brand extensions. Design/methodology/approach A 2 (extension types: upward, downward) × 2 (nationality: USA, China) × 2 (ownership: owner, non-owner) between-subjects design with thinking styles as a covariate was employed to test consumers' evaluations of vertical brand extensions. A total of 228 subjects from the US and 194 from China participated in the t…
Toward a General Theory of Diary Panels 1
This article represents an integration of findings reported in seven articles on diary panels that the authors have published, based on the AT&T database. There are four major issues involved with diary panels, to wit: respondent noncooperation involving item nonresponse and attrition, bias leading to estimation errors, mathematical artifacts involving regression toward the mean, and the conditioning effect of being observed. An integrated concep…
Toward a General Theory of Diary Panels
This article represents an integration of findings reported in seven articles on diary panels that the authors have published, based on the AT&T database. There are four major issues involved with diary panels, to wit: respondent noncooperation involving item nonresponse and attrition, bias leading to estimation errors, mathematical artifacts involving regression toward the mean, and the conditioning effect of being observed. An integrated concep…
Measurement of Self-Evaluative Motives
To develop measures of consumers' self-evaluative motives of Self-verification, Self-enhancement, and Self-improvement within the context of a mall shopping environment, an initial set of 49 items was generated by conducting three focus-group sessions. These items were subsequently converted into shopping-dependent motive statements. 250 undergraduate college students responded on a 7-point scale to each statement as these related to the acquisit…
Averaging to Minimize or Eliminate Regression toward the Mean to Measure Pure Experimental Effects
This paper explains how regression toward the mean can contaminate diary data, making it difficult to measure the pure effects of an experimental variable over time. Using a large scale real-life database collected by AT&T, a method of measuring this mathematical artifact is advanced. It is shown to manifest very quickly as a result of a spontaneous reaction toward happenstance, with the most extreme initial values gravitating most toward the mea…
Social Desirability Bias in Diary Panels is Evident in Panelists' Behavioral Frequency
The purpose was to analyze a large-scale database, a national sample of 1108 heads of households collected by AT&T, to show that behavioral frequencies of the activities of consumer diary panelists may regress toward the population mean during the diary-keeping period given social desirability bias produced by the conditioning effect of keeping diaries. This effect is distinguished from regression toward the mean, a statistical phenomenon reflect…
Revisiting the Factor Structure of the Kirton Adaption-Innovation Inventory
The original Kirton Adaption-Innovation Inventory, used to measure innovative (as opposed to adaptive) individual cognitive styles, has been reported to have three factors: Sufficiency of Originality, Efficiency, and Rule/Group Conformity. In exploring the construct validity of the Kirton Adaption-Innovation Inventory, findings from a 2003 study by Im, Hu, and Toh showed the existence of two subdimensions of the Sufficiency of Originality factor—…
Empirical Tests on Regressive Estimations
Using a large real-life corporate database initially consisting of 3,990 heads of households stratified on the basis of various demographic and geographic variables, and whose communication activities (long distance telephone calls, letters, cards, and visits) were surveyed and monitored, this study investigated the direction as well as magnitude of estimation errors in survey responses and diary entries. Supporting the 1994 Fiedler and Armbruste…
Exploring the Dimensionality of the Originality Subscale of the Kirton Adaption-Innovation Inventory
The Kirton Adaption-Innovation Inventory, which is a widely used measure of innovative (as opposed to adaptive) cognitive individual style, is believed to have three dimensions: Sufficiency of Originality, Efficiency, and Rule/Group Conformity. Several studies have raised concerns regarding its construct validity, specifically with respect to the Sufficiency of Originality subscale. Within this subscale, exploratory factor analysis identified two…
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Exploring the Dimensionality of the Originality Subscale of the Kirton Adaption-Innovation Inventory
The Kirton Adaption-Innovation Inventory, which is a widely used measure of innovative (as opposed to adaptive) cognitive individual style, is believed to have three dimensions: Sufficiency of Originality, Efficiency, and Rule/Group Conformity. Several studies have raised concerns regarding its construct validity, specifically with respect to the Sufficiency of Originality subscale. Within this subscale, exploratory factor analysis identified two…
Empirical Tests on Regressive Estimations
Using a large real-life corporate database initially consisting of 3,990 heads of households stratified on the basis of various demographic and geographic variables, and whose communication activities (long distance telephone calls, letters, cards, and visits) were surveyed and monitored, this study investigated the direction as well as magnitude of estimation errors in survey responses and diary entries. Supporting the 1994 Fiedler and Armbruste…
Revisiting the Factor Structure of the Kirton Adaption-Innovation Inventory
The original Kirton Adaption-Innovation Inventory, used to measure innovative (as opposed to adaptive) individual cognitive styles, has been reported to have three factors: Sufficiency of Originality, Efficiency, and Rule/Group Conformity. In exploring the construct validity of the Kirton Adaption-Innovation Inventory, findings from a 2003 study by Im, Hu, and Toh showed the existence of two subdimensions of the Sufficiency of Originality factor—…
Social Desirability Bias in Diary Panels is Evident in Panelists' Behavioral Frequency
The purpose was to analyze a large-scale database, a national sample of 1108 heads of households collected by AT&T, to show that behavioral frequencies of the activities of consumer diary panelists may regress toward the population mean during the diary-keeping period given social desirability bias produced by the conditioning effect of keeping diaries. This effect is distinguished from regression toward the mean, a statistical phenomenon reflect…
Measurement of Self-Evaluative Motives
To develop measures of consumers' self-evaluative motives of Self-verification, Self-enhancement, and Self-improvement within the context of a mall shopping environment, an initial set of 49 items was generated by conducting three focus-group sessions. These items were subsequently converted into shopping-dependent motive statements. 250 undergraduate college students responded on a 7-point scale to each statement as these related to the acquisit…
Averaging to Minimize or Eliminate Regression toward the Mean to Measure Pure Experimental Effects
This paper explains how regression toward the mean can contaminate diary data, making it difficult to measure the pure effects of an experimental variable over time. Using a large scale real-life database collected by AT&T, a method of measuring this mathematical artifact is advanced. It is shown to manifest very quickly as a result of a spontaneous reaction toward happenstance, with the most extreme initial values gravitating most toward the mea…
Toward a General Theory of Diary Panels 1
This article represents an integration of findings reported in seven articles on diary panels that the authors have published, based on the AT&T database. There are four major issues involved with diary panels, to wit: respondent noncooperation involving item nonresponse and attrition, bias leading to estimation errors, mathematical artifacts involving regression toward the mean, and the conditioning effect of being observed. An integrated concep…
Toward a General Theory of Diary Panels
This article represents an integration of findings reported in seven articles on diary panels that the authors have published, based on the AT&T database. There are four major issues involved with diary panels, to wit: respondent noncooperation involving item nonresponse and attrition, bias leading to estimation errors, mathematical artifacts involving regression toward the mean, and the conditioning effect of being observed. An integrated concep…
Cultural differences in vertical brand extension evaluations
Purpose The paper examines the cultural differences in consumers' evaluations of vertical brand extensions. Design/methodology/approach A 2 (extension types: upward, downward) × 2 (nationality: USA, China) × 2 (ownership: owner, non-owner) between-subjects design with thinking styles as a covariate was employed to test consumers' evaluations of vertical brand extensions. A total of 228 subjects from the US and 194 from China participated in the t…
Bigger is not always better
When trained to place high probability on a training corpus, neural network language models can learn a surprising amount about language. Recent work has demonstrated that large performance improvements can arise from simply increasing, i.e., scaling, the size of the corpora they are trained on and the number of parameters in those models. Accordingly, many contemporary systems are trained on trillions of words. While largely beneficial to perfor…
Psychology (10 works) · Statistics (7 works) · Mathematics (6 works) · Social Psychology (6 works) · Social Psychology (6 works) · Behavioral Health and Interventions (5 works) · Computer Science (5 works) · Econometrics (4 works) · Consumer Behavior in Brand Consumption and Identification (3 works) · Estimation (3 works)