Dawn Iacobucci
Biographic Data
| ID | 633192 |
|---|---|
| NAME | Dawn Iacobucci |
| GIVEN NAMES | Dawn |
| FAMILY NAME | Iacobucci |
| SIGNATURE | IACOBUCCI D |
| AFFILIATIONS | Vanderbilt University |
| ORCID | 0000-0001-9761-6642 |
| VERIFIED | Yes |
| TOTAL WORKS | 26 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 25 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 1987 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 2 |
Continuing to Broaden the Marketing Concept: Making the World A Better Place
Review of Marketing Research is a publication covering the important areas of marketing research with a more comprehensive state-of-the-art orientation. The chapters in this publication review the literature, offer a critical commentary, develop an innovative framework and discuss future developments, as well as present specific empirical studies.
Impact of religiosity and culture on salesperson job satisfaction and performance
This research is a multinational study of the effect of religiosity on salespeople’s attitudes about their jobs, even after controlling for cross-cultural differences and the particular management practices in their sales organizations. We theorize moderator effects between religiosity and the salespeople’s traits and attitudes, as well as interactive effects between organizational factors and the cultures in which the firms are embedded. We test…
Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures
Among the many centrality indices used to detect structures of actors’ positions in networks is the use of the first eigenvector of an adjacency matrix that captures the connections among the actors. This research considers the seeming pervasive current practice of using only the first eigenvector. It is shows that, as in other statistical applications of eigenvectors, subsequent vectors can also contain illuminating information. Several small ex…
Mean centering helps alleviate “micro” but not “macro” multicollinearity
Creating Highly Reliable Health Care: How Reliability-Enhancing Work Practices Affect Patient Safety in Hospitals
Hospitals are increasingly looking to new work practices and processes to reduce the epidemic of medical errors. The authors examine one such innovative approach emulating high-reliability organizations (e.g., nuclear power plants) that use a combination of specific work practices and behavioral processes to detect and adapt to unexpected events to operate in a nearly error-free manner. They explore whether and how reliability-enhancing work prac…
Toward a more nuanced understanding of the statistical properties of a median split
The median split: Robust, refined, and revived
Social networks among auction bidders: The role of key bidders and structural properties on auction prices
Mediation analysis and categorical variables: The final frontier
Structural equations modeling: Fit Indices, sample size, and advanced topics
Brand Attachment and Brand Attitude Strength: Conceptual and Empirical Differentiation of Two Critical Brand Equity Drivers
Research has not verified the theoretical or practical value of the brand attachment construct in relation to alternative constructs, particularly brand attitude strength. The authors make conceptual, measurement, and managerial contributions to this research issue. Conceptually, they define brand attachment, articulate its defining properties, and differentiate it from brand attitude strength. From a measurement perspective, they develop and val…
Mediation Analysis
"This book covers mediation analysis--the examination of whether an effect of one variable on another is direct or indirect or both. Author Dawn Iacobucci offers thorough coverage of introductory and advanced material as well as conceptual and statistical information. The book begins by introducing arguments of causality, and proceeds to examine current options for analyzing data patterns purported to exhibit meditational structures. Iacobucci sh…
A Meditation on Mediation: Evidence That Structural Equations Models Perform Better Than Regressions
In this paper, we suggest ways to improve mediation analysis practice among consumer behavior researchers. We review the current methodology and demonstrate the superiority of structural equations modeling, both for assessing the classic mediation questions and for enabling researchers to extend beyond these basic inquiries. A series of simulations are presented to support the claim that the approach is superior. In addition to statistical demons…
Advancing Alpha: Measuring Reliability With Confidence
In this research, we present the inferential statistics for Cronbach's coefficient alpha. This index of reliability is extremely important in consumer research. The estimation of alpha and its confidence intervals are described and an analytical demonstration illustrates the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. SAS and SPSS programs are offered for easy implem…
Investments in Consumer Relationships: A Cross-Country and Cross-Industry Exploration
This research, investigating retailer–consumer relationships, has three distinct intended contributions: (1) It shows that different relationship marketing tactics have a differential impact on consumer perceptions of a retailer's relationship investment; (2) it demonstrates that perceived relationship investment affects relationship quality, ultimately leading to behavioral loyalty; and (3) it reveals that the effect of perceived relationship in…
Measurement quality issues in dyadic models of relationships
Detection of experimental effects in social network analysis
The relationship between the Scheiblechner model and the Holland-Leinhardt “p1” model
Derivation of subgroups from dyadic interactions
Derivation of subgroups from dyadic interactions
This article presents a simulation study that compares several methods for deriving empirical subgroups from sociometric data. The Monte Carlo study was used to investigate how well the methods recovered the subgroup structure that had been built into the actors' and partners' modes. Forty-eight sociomatrices were generated using a 2 4 ×3 factorial design. The factors included the number of individuals in the network, the true number of subgroups…
Analysis of attribution data: Theory testing and effects estimation
Statistical models arc presented for the analysis of attribution data (Kelley, 1967, 1973; McArthur, 1972) that are more appropriate than previously used methods and that enable researchers to address a broader range of theoretical issues. These new models allow researchers to determine the separate and joint influence of consensus, distinctiveness, and consistency information on attributions to the person, stimulus, and circumstance. The techniq…
The Structure of Affect and Trait Judgments of Political Figures
The roles of affective and cognitive processes in judgment have been the focus of much recent research and theoretical debate. This study was designed to investigate the structure of voters' affective reactions and trait attributions to national political figures. Three-mode factor analysis was used to determine the structure of the affect and trait scales. Politician factors and subject types were also derived, as were the interrelationships amo…
Modeling multivariate sequential dyadic interactions
A general framework for the statistical analysis of sequential dyadic interaction data
A general framework for the statistical analysis of sequential dyadic interaction data
Recent interest in sequential dyadic interactions has motivated researchers to develop methods appropriate for the analysis of such data. After briefly reviewing a series of methodological papers focusing on the analysis of discrete-valued observations, we present a general framework for studying many substantive effects, including dominance and autodependencies, in social interactions measured on dyads. We show how this framework allows a resear…
A general framework for the statistical analysis of sequential dyadic interaction data
Recent interest in sequential dyadic interactions has motivated researchers to develop methods appropriate for the analysis of such data. After briefly reviewing a series of methodological papers focusing on the analysis of discrete-valued observations, we present a general framework for studying many substantive effects, including dominance and autodependencies, in social interactions measured on dyads. We show how this framework allows a resear…
Analysis of attribution data: Theory testing and effects estimation
Statistical models arc presented for the analysis of attribution data (Kelley, 1967, 1973; McArthur, 1972) that are more appropriate than previously used methods and that enable researchers to address a broader range of theoretical issues. These new models allow researchers to determine the separate and joint influence of consensus, distinctiveness, and consistency information on attributions to the person, stimulus, and circumstance. The techniq…
Dyadic social interactions
Creating Highly Reliable Health Care: How Reliability-Enhancing Work Practices Affect Patient Safety in Hospitals
Hospitals are increasingly looking to new work practices and processes to reduce the epidemic of medical errors. The authors examine one such innovative approach emulating high-reliability organizations (e.g., nuclear power plants) that use a combination of specific work practices and behavioral processes to detect and adapt to unexpected events to operate in a nearly error-free manner. They explore whether and how reliability-enhancing work prac…
Modeling multivariate sequential dyadic interactions
Dyadic social interactions
A general framework for the statistical analysis of sequential dyadic interaction data
A general framework for the statistical analysis of sequential dyadic interaction data
Recent interest in sequential dyadic interactions has motivated researchers to develop methods appropriate for the analysis of such data. After briefly reviewing a series of methodological papers focusing on the analysis of discrete-valued observations, we present a general framework for studying many substantive effects, including dominance and autodependencies, in social interactions measured on dyads. We show how this framework allows a resear…
The Structure of Affect and Trait Judgments of Political Figures
The roles of affective and cognitive processes in judgment have been the focus of much recent research and theoretical debate. This study was designed to investigate the structure of voters' affective reactions and trait attributions to national political figures. Three-mode factor analysis was used to determine the structure of the affect and trait scales. Politician factors and subject types were also derived, as were the interrelationships amo…
Modeling multivariate sequential dyadic interactions
Derivation of subgroups from dyadic interactions
Derivation of subgroups from dyadic interactions
This article presents a simulation study that compares several methods for deriving empirical subgroups from sociometric data. The Monte Carlo study was used to investigate how well the methods recovered the subgroup structure that had been built into the actors' and partners' modes. Forty-eight sociomatrices were generated using a 2 4 ×3 factorial design. The factors included the number of individuals in the network, the true number of subgroups…
Analysis of attribution data: Theory testing and effects estimation
Statistical models arc presented for the analysis of attribution data (Kelley, 1967, 1973; McArthur, 1972) that are more appropriate than previously used methods and that enable researchers to address a broader range of theoretical issues. These new models allow researchers to determine the separate and joint influence of consensus, distinctiveness, and consistency information on attributions to the person, stimulus, and circumstance. The techniq…
The relationship between the Scheiblechner model and the Holland-Leinhardt “p1” model
Detection of experimental effects in social network analysis
Measurement quality issues in dyadic models of relationships
Investments in Consumer Relationships: A Cross-Country and Cross-Industry Exploration
This research, investigating retailer–consumer relationships, has three distinct intended contributions: (1) It shows that different relationship marketing tactics have a differential impact on consumer perceptions of a retailer's relationship investment; (2) it demonstrates that perceived relationship investment affects relationship quality, ultimately leading to behavioral loyalty; and (3) it reveals that the effect of perceived relationship in…
Advancing Alpha: Measuring Reliability With Confidence
In this research, we present the inferential statistics for Cronbach's coefficient alpha. This index of reliability is extremely important in consumer research. The estimation of alpha and its confidence intervals are described and an analytical demonstration illustrates the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. SAS and SPSS programs are offered for easy implem…
A Meditation on Mediation: Evidence That Structural Equations Models Perform Better Than Regressions
In this paper, we suggest ways to improve mediation analysis practice among consumer behavior researchers. We review the current methodology and demonstrate the superiority of structural equations modeling, both for assessing the classic mediation questions and for enabling researchers to extend beyond these basic inquiries. A series of simulations are presented to support the claim that the approach is superior. In addition to statistical demons…
Mediation Analysis
"This book covers mediation analysis--the examination of whether an effect of one variable on another is direct or indirect or both. Author Dawn Iacobucci offers thorough coverage of introductory and advanced material as well as conceptual and statistical information. The book begins by introducing arguments of causality, and proceeds to examine current options for analyzing data patterns purported to exhibit meditational structures. Iacobucci sh…
Structural equations modeling: Fit Indices, sample size, and advanced topics
Brand Attachment and Brand Attitude Strength: Conceptual and Empirical Differentiation of Two Critical Brand Equity Drivers
Research has not verified the theoretical or practical value of the brand attachment construct in relation to alternative constructs, particularly brand attitude strength. The authors make conceptual, measurement, and managerial contributions to this research issue. Conceptually, they define brand attachment, articulate its defining properties, and differentiate it from brand attitude strength. From a measurement perspective, they develop and val…
Mediation analysis and categorical variables: The final frontier
Social networks among auction bidders: The role of key bidders and structural properties on auction prices
Toward a more nuanced understanding of the statistical properties of a median split
The median split: Robust, refined, and revived
Mean centering helps alleviate “micro” but not “macro” multicollinearity
Creating Highly Reliable Health Care: How Reliability-Enhancing Work Practices Affect Patient Safety in Hospitals
Hospitals are increasingly looking to new work practices and processes to reduce the epidemic of medical errors. The authors examine one such innovative approach emulating high-reliability organizations (e.g., nuclear power plants) that use a combination of specific work practices and behavioral processes to detect and adapt to unexpected events to operate in a nearly error-free manner. They explore whether and how reliability-enhancing work prac…
Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures
Among the many centrality indices used to detect structures of actors’ positions in networks is the use of the first eigenvector of an adjacency matrix that captures the connections among the actors. This research considers the seeming pervasive current practice of using only the first eigenvector. It is shows that, as in other statistical applications of eigenvectors, subsequent vectors can also contain illuminating information. Several small ex…
Impact of religiosity and culture on salesperson job satisfaction and performance
This research is a multinational study of the effect of religiosity on salespeople’s attitudes about their jobs, even after controlling for cross-cultural differences and the particular management practices in their sales organizations. We theorize moderator effects between religiosity and the salespeople’s traits and attitudes, as well as interactive effects between organizational factors and the cultures in which the firms are embedded. We test…
Psychology (22 works) · Mathematics (13 works) · Computer Science (12 works) · Statistics (11 works) · Econometrics (8 works) · Social Psychology (8 works) · Political science (7 works) · Business (5 works) · Complex Network Analysis Techniques (5 works) · Opinion Dynamics and Social Influence (5 works)