関連する実験動画

Updated: Jul 11, 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

学生の教学の評価:いくつかの評価要因の有効性

P W Frey

    Science (New York, N.Y.)
    |October 5, 1973
    PubMed
    まとめ

    大学生の微積分の授業における学生インストラクターの評価は,最終試験の成績と相関しています. これらの評価は,個々の学生の学業成績にかかわらず,クラスの成功の重要な予測要因であり続けています.

    関連する概念動画

    Reliability and Validity01:29

    Reliability and Validity

    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.
    Surveys02:16

    Surveys

    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.
    Ratio Level of Measurement00:54

    Ratio Level of Measurement

    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. For...
    Review and Preview01:10

    Review and Preview

    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...
    Friedman Two-way Analysis of Variance by Ranks01:21

    Friedman Two-way Analysis of Variance by Ranks

    Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures from...
    Theory of Attribution II: Kelley's Covariation Theory01:29

    Theory of Attribution II: Kelley's Covariation Theory

    Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus: Comparing...