Liliana Rodriguez-Campos
Biographic Data
| ID | 5740480 |
|---|---|
| NAME | Liliana Rodriguez-Campos |
| GIVEN NAMES | Liliana |
| FAMILY NAME | Rodriguez-Campos |
| SIGNATURE | RODRIGUEZ-CAMPOS L |
| AFFILIATIONS | University of South Florida, Tampa, FL, USA |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 1 |
Bayesian Posterior Odds Ratios: Statistical Tools for Collaborative Evaluations
To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices more defensible. This article describes how evaluators and stakeholders could combine their expertise …
Collaborative, Participatory, and Empowerment Evaluation: Building a Strong Conceptual Foundation for Stakeholder Involvement Approaches to Evaluation (A Response to Cousins, Whitmore, and Shulha, 201…
Defining, compartmentalizing, and differentiating among stakeholder involvement approaches to evaluation, such as collaborative, participatory, and empowerment evaluation, enhance conceptual clarity. It also informs practice, helping evaluators select the most appropriate approach for the task at hand. This view of science and practice is presented in response to the argument of Cousins, Whitmore, and Shulha (2013) that efforts to differentiate a…
Do teachers, principals, and superintendents perceive leadership the same way: A structural equation modeling test of the equivalence of a multi-dimensional construct across groups
Characteristics of Urban Principalship: A National Trend Study
Collaborative, Participatory, and Empowerment Evaluation: Building a Strong Conceptual Foundation for Stakeholder Involvement Approaches to Evaluation (A Response to Cousins, Whitmore, and Shulha, 201…
Defining, compartmentalizing, and differentiating among stakeholder involvement approaches to evaluation, such as collaborative, participatory, and empowerment evaluation, enhance conceptual clarity. It also informs practice, helping evaluators select the most appropriate approach for the task at hand. This view of science and practice is presented in response to the argument of Cousins, Whitmore, and Shulha (2013) that efforts to differentiate a…
Characteristics of Urban Principalship: A National Trend Study
Do teachers, principals, and superintendents perceive leadership the same way: A structural equation modeling test of the equivalence of a multi-dimensional construct across groups
Collaborative, Participatory, and Empowerment Evaluation: Building a Strong Conceptual Foundation for Stakeholder Involvement Approaches to Evaluation (A Response to Cousins, Whitmore, and Shulha, 201…
Defining, compartmentalizing, and differentiating among stakeholder involvement approaches to evaluation, such as collaborative, participatory, and empowerment evaluation, enhance conceptual clarity. It also informs practice, helping evaluators select the most appropriate approach for the task at hand. This view of science and practice is presented in response to the argument of Cousins, Whitmore, and Shulha (2013) that efforts to differentiate a…
Bayesian Posterior Odds Ratios: Statistical Tools for Collaborative Evaluations
To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices more defensible. This article describes how evaluators and stakeholders could combine their expertise …
Psychology (3 works) · Computer Science (2 works) · Evaluation and Performance Assessment (2 works) · Mathematics (2 works) · Mathematics education (2 works) · Sociology (2 works) · Statistics (2 works) · Argument (complex analysis (1 works) · Artificial Intelligence (1 works) · Bayesian inference (1 works)