Collaborative Evaluations

Rodríguez-Campos, Liliana; Rincones-Gómez, Rigoberto

doi:10.1515/9780804784856

Cited by 11 publications

(18 citation statements)

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“…Identifying the situation considers the combination of formal and informal circumstances determined by the relationships that surround and sustain the collaborative evaluation. It sets the foundation for everything that follows in the evaluation (Rodríguez‐Campos & Rincones‐Gómez, ). The stakeholders, particularly the CMs, helped identify the evaluation situation.…”

Section: Implementation Of the Mce In The Ide Projectmentioning

confidence: 99%

“…By clarifying expectations, everyone understands which issues must be addressed and what are the best ways to achieve desired results (Rodríguez‐Campos & Rincones‐Gómez, ). Because several CMs were new to formal evaluations, it was especially important to discuss how the operational procedures functioned.…”

Section: Implementation Of the Mce In The Ide Projectmentioning

confidence: 99%

“…The MCE as a collaborative framework, is part of the use branch of evaluation (Alkin & Christie, )—it focuses on how the information generated will be used by stakeholders. Since it was first introduced in 2005 (Rodríguez Campos, ), the framework has matured through discussions with other members of the collaborative community, particularly those in the American Evaluation Association's (AEA) Collaborative, Participatory, and Empowerment Topical Interest Group, as well as reflection upon scores of implementations, which has led to modest refinements of the model (Rodríguez‐Campos & Rincones‐Gómez, ). The MCE is flexible and scalable, and has been applied to evaluations in the business, nonprofit, and education sectors.…”

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confidence: 99%

“…There are six components that guide evaluators to ensure all appropriate actions are conducted. The six components of the MCE (Figure ) include Identify the situation, Clarify the expectations, Ensure open communication, Encourage effective practices, and Follow specific guidelines (Rodríguez‐Campos & Rincones‐Gómez, ). The components are based on theory and reflection of prior practice.…”

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confidence: 99%

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confidence: 99%

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Model for Collaborative Evaluations as a Framework to Foster a Community of Collaborators

Rodríguez-Campos

Mitchell

Rincones-Gómez

2020

New Drctns Evaluation

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The Model for Collaborative Evaluations (MCE) denotes an evaluation framework that supports a collaborative community. The six components of the MCE were designed to identify the situation, clarify the expectations, establish a collective commitment, ensure open communication, encourage effective practices, and follow specific guidelines to support collaboration. These six components instill strong relationships and trust among the stakeholders, fostering a community of collaborators that ensures the evaluation will be effective. The MCE uses a systems engineering approach to ensure the collaborative processes of the evaluation run optimally. As an exemplar of the applicability of the MCE, this chapter describes an evaluation of a grant‐funded project, Increasing Diversity in Engineering (IDE), an effort to increase female industrial engineering students’ motivation to complete their programs of study and promote their interest in healthcare engineering. The authors employed two conceptually related phases of the MCE. The formative phase provided feedback to the clients early in the evaluation process, affording an increased chance of achieving a positive outcome at the completion of the project. The summative phase of the evaluation provided information about the value of the project. Professors created a new course, entitled “Healthcare Engineering” and reconfigured the curricula of two existing courses to include material that highlighted healthcare engineering and case studies. In addition, workshops were offered to raise awareness of opportunities in the healthcare engineering field, and a seminar series was produced to focus upon women engineers from local healthcare agencies. The MCE and its application to this project provides lessons learned for evaluators working with collaborative communities and coalitions.

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Section: Implementation Of the Mce In The Ide Projectmentioning

confidence: 99%

Section: Implementation Of the Mce In The Ide Projectmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Model for Collaborative Evaluations as a Framework to Foster a Community of Collaborators

Rodríguez-Campos

Mitchell

Rincones-Gómez

2020

New Drctns Evaluation

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Navigating the awkward, challenging social context of evaluation

Moretti

2021

Evaluation Journal of Australasia

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Evaluation practice takes place in a particularly awkward and challenging social context due to the fear, resistance and anxiety that is often associated with evaluation. Navigating this social context is taxing for evaluators and has the potential to negatively impact their well-being. This article begins with an exploration of the positioning of qualitative and relational approaches within the evaluation field over time, showing that they have been increasingly acknowledged and now widely accepted as crucial to the practice of evaluation. More recent literature is then used to identify six social competencies that are essential to on-the-ground evaluation practice. These competencies are in allaying fear and anxiety, establishing rapport, building and maintaining professional credibility, recognising tacit social dynamics, preventing and managing coercion attempts, and preventing and managing hostility. The article then explores the implications of working in this social context for evaluator well-being. Difficulties around self-assessing competency levels, contending with a poor reputation, emotional labour and self-care, and limited research specific to these matters are discussed. This article posits that practising evaluators should routinely reflect and take active steps to not only improve their social competence but also maintain their own well-being.

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Bayesian Posterior Odds Ratios

Hicks

Rodríguez-Campos

Choi

2017

American Journal of Evaluation

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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 to select rigorous priors for analysis. The article first introduces Bayesian testing, then situates it within a collaborative framework, and finally illustrates the method with a real example.

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Collaborative Evaluations

Cited by 11 publications

References 0 publications

Model for Collaborative Evaluations as a Framework to Foster a Community of Collaborators

Model for Collaborative Evaluations as a Framework to Foster a Community of Collaborators

Navigating the awkward, challenging social context of evaluation

Bayesian Posterior Odds Ratios

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