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相关概念视频

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

353
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
353
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

23.7K
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.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
23.7K
Reliability and Validity01:29

Reliability and Validity

12.7K
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.
12.7K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K
Surveys02:16

Surveys

14.8K
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.
14.8K
Group Design02:01

Group Design

8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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相关实验视频

Updated: Jul 5, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

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其他性测量尺度:设计和验证社会科学.

Cirit Mateus1, Daladier Jabba2, Ana María Erazo3

  • 1Research Group Direction, Colciencias - Universidad del Norte Scholar, Universidad Metropolitana, Barranquilla, Colombia. cmateus@uninorte.edu.co.

BMC psychology
|January 18, 2024
PubMed
概括

这项研究验证了在社会科学研究中测量异性和共存的新尺度. 该尺度有效量化了这些概念,有助于未来的社会动态应用研究.

关键词:
共存是一种共存.仪器验证验证仪器验证仪器验证仪器验证仪器验证仪器验证仪器验证仪器验证仪器验证仪器测量尺度是指一个尺度.其他性 别样性另类程度尺度的其他程度.

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Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
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Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

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科学领域:

  • 社会科学研究 社会科学研究
  • 心理测量 心理测量 心理测量

背景情况:

  • 了解共存与异性之间的关系在社会科学中至关重要.
  • 现有的措施可能无法充分捕捉这些复杂的结构.

研究的目的:

  • 为了证明共存 (独立变量) 和异性 (依赖变量) 之间的关系.
  • 开发和统计验证用于应用社会科学研究中测量异性和共存的尺度.

主要方法:

  • 一种混合方法的方法,结合了定性和定量程序.
  • 使用了两个语义差异和33项调查问卷与600名参与者.
  • 由于SARS-CoV-2流行病,虚拟数据收集.

主要成果:

  • 确定了两个关键的异性因素:"另一个是奇怪/外国"和"另一个是平等的".
  • 最后的10项量表显示出强大的可靠性 (克朗巴赫的α=0.86).
  • 该尺度解释了58%的异性差异.

结论:

  • 经过验证的尺度提供了一种可靠和系统的方法来衡量异性和共存.
  • 该工具适用于社会科学中的应用研究.
  • 这些发现有助于对社会互动和感知的细微理解.