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相关概念视频

Self-Discrepancy Theory02:45

Self-Discrepancy Theory

One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
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.
Ranks01:02

Ranks

Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Percentile01:18

Percentile

A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile. Low percentiles always correspond to lower data values. High percentiles always correspond to higher data values.Percentiles divide ordered data into hundredths. To score in the...

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相关实验视频

Updated: Jul 11, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

博士课程的声誉评级 博士课程的声誉评级

R T Hartnett, M J Clark, L L Baird

    Science (New York, N.Y.)
    |March 24, 1978
    PubMed
    概括

    博士课程教师评级显示出随着时间的推移显著的稳定性,特别是在化学和历史. 研究生产率,而不是教学质量,与这些国家声誉排名有很强的相关性.

    科学领域:

    • 高等教育 高等教育
    • 教育心理学教育心理学
    • 学术课程评估 学术课程评估

    背景情况:

    • 评估博士课程的质量对于学术进步和资源分配至关重要.
    • 美国教育委员会 (ACE) 之前的研究为计划声誉建立了基准.
    • 了解这些评估的长期稳定性对于一致的评估至关重要.

    研究的目的:

    • 在11年的时间内评估博士课程教师的同行评级的稳定性.
    • 将最近的同行评级与美国教育理事会的历史数据进行比较.
    • 探索课程声誉与各部门特点之间的关系.

    主要方法:

    • 1975年的一项全国性调查收集了化学,历史和心理学博士课程的同行评分.
    • 这些评级与6年前和11年前的ACE数据进行了比较.
    • 分析了课程排名和部门研究导向变量,教学质量和教师支持之间的相关性.

    主要成果:

    • 博士课程教师排名在11年期间表现出高度稳定性,特别是在化学和历史方面.
    • 虽然分专业评级表明了质量差异,但对于国家调查而言被认为是不切实际的.
    • 声誉排名与部门规模,研究生产率和毕业生在博士学位授予机构的安置有很强的相关性.

    更多相关视频

    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

    相关实验视频

    Last Updated: Jul 11, 2026

    Using Learning Outcome Measures to assess Doctoral Nursing Education
    10:07

    Using Learning Outcome Measures to assess Doctoral Nursing Education

    Published on: June 21, 2010

    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

  • 排名显示与学生报告的教学质量或教师对学生的关注的相关性很弱或不存在.
  • 结论:

    • 博士课程的同行声誉排名随着时间的推移而显著稳定,为课程的地位提供了可靠的衡量标准.
    • 研究生产率和机构因素是国家课程声誉的更强有力的预测因素,而不是教学质量或学生与教师的互动.
    • 专注于整体课程声誉的国家调查比试图评价子专业的调查更可行和有用.