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Related Concept Videos

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Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation

Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
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Self-Evaluation: Self-Enhancement and Self-Verification

Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Related Experiment Video

Updated: May 13, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Evaluation models and evaluation use.

Damien Contandriopoulos1, Astrid Brousselle

  • 1University of Montreal, Canada.

Evaluation (London, England : 1995)
|March 26, 2013
PubMed
Summary
This summary is machine-generated.

Understanding evaluation use is key in research and practice. This study proposes a framework linking evaluation context, model choice, and result utilization for better outcomes.

Keywords:
evaluation modelevaluation theoryevaluation usesystematic review

Related Experiment Videos

Last Updated: May 13, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Area of Science:

  • Evaluation Theory
  • Organizational Behavior
  • Knowledge Exchange

Background:

  • Evaluation use is central to evaluation theory and practice.
  • Debates highlight the evaluator's role and process in fostering use.
  • Knowledge exchange interventions offer new perspectives on influencing outcomes.

Purpose of the Study:

  • To propose a framework for understanding evaluation use.
  • To explore the relationship between evaluation context, model choice, and result utilization.
  • To identify conditions affecting evaluation model appropriateness and use.

Main Methods:

  • Systematic review of interventions.
  • Framework development based on theoretical and empirical evidence.
  • Analysis of the interplay between context, model, and use.

Main Results:

  • Evaluation context significantly influences model appropriateness.
  • Contextual factors impact the utilization of evaluation results.
  • A proposed framework elucidates these embedded relations.

Conclusions:

  • The evaluation context is a critical determinant of both model selection and result use.
  • Understanding these contextual conditions is essential for maximizing evaluation impact.
  • The proposed framework aids in designing and implementing more effective evaluations.