Linda L Golden
Biographic Data
| ID | 216735 |
|---|---|
| NAME | Linda L Golden |
| GIVEN NAMES | Linda L |
| FAMILY NAME | Golden |
| SIGNATURE | GOLDEN L L |
| AFFILIATIONS | The University of Texas at Austin |
| ORCID | 0000-0001-9481-0386 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
Check (it) yourself before you wreck yourself: The benefits of online health information exposure on risk perception and intentions to protect oneself
The current study contributes to a better understanding of health information acquisition (HIA) and ongoing public policy debates about the usefulness of online health information. We distinguish between types of health knowledge (i.e., objective vs. subjective knowledge) and health information sources (information on the Internet vs. information from a Health Professional's office visit), to examine risk perceptions and health behavior outcomes …
Apridit Unsupervised Classification with Asymmetric Valuation of Variable Discriminatory Worth
Sometimes one needs to classify individuals into groups, but there is no available grouping information due to social desirability bias in reporting behavior like unethical or dishonest intentions or unlawful actions. Assessing hard-to-detect behaviors is useful; however it is methodologically difficult because people are unlikely to self-disclose bad actions. This paper presents an unsupervised classification methodology utilizing ordinal catego…
An Information Theoretic Approach for Identifying Shared Information and Asymmetric Relationships Among Variables
Behavioral researchers are often faced with the need to identify complex multivariate relationships. Statistical information theory provides a framework for quantifying in a single value the proportion of total information in one set of measures (Y) explained by another set of measures (X). It also quantifies the amount of redundant information and allows for asymmetry of explained information between variables. The general information theoretic …
The effect of alternative scoring methods on the analysis of rank order categorical data
The purpose of this article is to examine the effects of five univariate scoring techniques for rank order categorical data and the results of analyses using each of the techniques for five‐ and ten‐point bi‐polar adjective scales. The effect of scoring method and scale length is assessed for the resultant distance to multivariate normality, inter‐item reliability, discriminant analysis, least squares regression and logistic regression. For these…
The Attribution Process in Consumer Decision Making
Attribution, as a process, is related to consumer decision making by a descriptive model. Published papers that have applied attributional approaches to consumer scenarios are analyzed to highlight both existing problems and opportunities for enhanced understanding. An assessment of the potential for attribution theory in consumer research is offered
The Attribution Process in Consumer Decision Making
Attribution, as a process, is related to consumer decision making by a descriptive model. Published papers that have applied attributional approaches to consumer scenarios are analyzed to highlight both existing problems and opportunities for enhanced understanding. An assessment of the potential for attribution theory in consumer research is offered
The effect of alternative scoring methods on the analysis of rank order categorical data
The purpose of this article is to examine the effects of five univariate scoring techniques for rank order categorical data and the results of analyses using each of the techniques for five‐ and ten‐point bi‐polar adjective scales. The effect of scoring method and scale length is assessed for the resultant distance to multivariate normality, inter‐item reliability, discriminant analysis, least squares regression and logistic regression. For these…
The Attribution Process in Consumer Decision Making
Attribution, as a process, is related to consumer decision making by a descriptive model. Published papers that have applied attributional approaches to consumer scenarios are analyzed to highlight both existing problems and opportunities for enhanced understanding. An assessment of the potential for attribution theory in consumer research is offered
The effect of alternative scoring methods on the analysis of rank order categorical data
The purpose of this article is to examine the effects of five univariate scoring techniques for rank order categorical data and the results of analyses using each of the techniques for five‐ and ten‐point bi‐polar adjective scales. The effect of scoring method and scale length is assessed for the resultant distance to multivariate normality, inter‐item reliability, discriminant analysis, least squares regression and logistic regression. For these…
An Information Theoretic Approach for Identifying Shared Information and Asymmetric Relationships Among Variables
Behavioral researchers are often faced with the need to identify complex multivariate relationships. Statistical information theory provides a framework for quantifying in a single value the proportion of total information in one set of measures (Y) explained by another set of measures (X). It also quantifies the amount of redundant information and allows for asymmetry of explained information between variables. The general information theoretic …
Apridit Unsupervised Classification with Asymmetric Valuation of Variable Discriminatory Worth
Sometimes one needs to classify individuals into groups, but there is no available grouping information due to social desirability bias in reporting behavior like unethical or dishonest intentions or unlawful actions. Assessing hard-to-detect behaviors is useful; however it is methodologically difficult because people are unlikely to self-disclose bad actions. This paper presents an unsupervised classification methodology utilizing ordinal catego…
Check (it) yourself before you wreck yourself: The benefits of online health information exposure on risk perception and intentions to protect oneself
The current study contributes to a better understanding of health information acquisition (HIA) and ongoing public policy debates about the usefulness of online health information. We distinguish between types of health knowledge (i.e., objective vs. subjective knowledge) and health information sources (information on the Internet vs. information from a Health Professional's office visit), to examine risk perceptions and health behavior outcomes …
Computer Science (4 works) · Psychology (4 works) · Advanced Statistical Methods and Models (3 works) · Mathematics (3 works) · Social Psychology (3 works) · Statistics (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Categorical variable (2 works) · Econometrics (2 works)