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Related Concept Videos

Surveys02:16

Surveys

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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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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Social Foundations of Self III: Self-Evaluation01:30

Social Foundations of Self III: Self-Evaluation

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Self-evaluation is the process by which individuals assess their abilities, behaviors, and characteristics based on feedback from others. Charles H. Cooley observed that a person’s self-perception is primarily influenced by how others see and judge them. He suggested that individuals form their identities based on their interpretations of others' reactions. As a result, social interactions play a crucial role in shaping self-esteem and personal identity. These external evaluations often...
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Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

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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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Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

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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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Ratio Level of Measurement00:54

Ratio Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
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Structure of the Teaching Analysis by Students (Tabs).

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Related Experiment Video

Updated: Mar 8, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Structure of Student-Based Evaluation Ratings.

Gerald M Meredith1

  • 1a University of Hawaii , USA.

The Journal of Psychology
|February 1, 2017
PubMed
Summary

This study explored faculty-course evaluation using a 64-item instrument with 2301 students. Factor analysis revealed eight dimensions related to learning, instructor, course, and outcomes, supporting a systems approach to higher education evaluation.

Area of Science:

  • Educational Assessment
  • Higher Education Research
  • Psychometrics

Background:

  • Faculty-course evaluations are crucial for academic quality.
  • Understanding the underlying structure of evaluation data is essential for accurate interpretation.
  • Previous research has explored various dimensions, but a clear dimensionality remains debated.

Purpose of the Study:

  • To clarify the dimensionality of faculty-course evaluation.
  • To identify the key factors influencing student perceptions of courses and instructors.
  • To provide empirical evidence for a systems approach to higher education assessment.

Main Methods:

  • Administered a 64-item appraisal instrument to 2301 university students.
  • Conducted intercorrelation and factor analysis on the 64 variables.

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  • Utilized a quantitative research design to analyze student responses.

    • Main Results:

    • Identified an eight-factor solution from the factor analysis.
    • Grouped the identified factors around four core concepts: learning context, instructor, course, and outcomes of instruction.
    • Demonstrated distinct, yet related, dimensions within faculty-course evaluations.

    Conclusions:

    • The study successfully clarified the dimensionality of faculty-course evaluation.
    • The findings support a multidimensional view of evaluation, encompassing various aspects of the educational process.
    • A systems approach is recommended for a comprehensive understanding of higher education evaluation.