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Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

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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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Nursing Evaluation01:15

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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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Comparing Experimental Results: Student's t-Test01:09

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The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
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Surveys02:16

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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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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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Related Experiment Video

Updated: Mar 26, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Prior Subject Interest, Students' Evaluations, And Instructional Effectiveness.

H W Marsh, T L Cooper

    Multivariate Behavioral Research
    |January 24, 2016
    PubMed
    Summary

    Student interest in a subject significantly predicts course ratings and perceived instructional effectiveness. This finding holds true across different university settings and instructor self-evaluations, highlighting the importance of student engagement.

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    Area of Science:

    • Educational Psychology
    • Higher Education Studies

    Background:

    • Student ratings are commonly used to evaluate instructional effectiveness.
    • Factors influencing student ratings are crucial for understanding educational outcomes.
    • Prior Subject Interest (PSI) is a potential, yet under-explored, predictor of student evaluations.

    Purpose of the Study:

    • To investigate the correlation between students' Prior Subject Interest and their ratings of instructional effectiveness.
    • To compare the predictive power of PSI against other student, course, and instructor characteristics.
    • To examine the relationship between PSI and instructor self-evaluations of teaching effectiveness.

    Main Methods:

    • Analysis of student ratings of instructional effectiveness across 1102 university classes.
    • Correlational analysis comparing PSI with 15 other student/course/instructor variables.
    • Analysis of instructor self-evaluations from 329 classes, examining correlations with PSI.

    Main Results:

    • Prior Subject Interest showed significant positive correlations with student ratings of instructional effectiveness (ranging up to .44).
    • PSI was a stronger predictor of student ratings than other considered variables like Expected Grade, Class Size, and Workload.
    • Instructor self-evaluations were also positively correlated with PSI, particularly for dimensions like Learning/Value.

    Conclusions:

    • Prior Subject Interest is a key factor influencing both student perceptions and instructor self-assessments of teaching effectiveness.
    • Student ratings appear to accurately reflect the impact of PSI on instructional quality.
    • Educational institutions should consider fostering student interest to enhance perceived and actual instructional effectiveness.