验证阿根廷版本的认识论信任,不信任和轻信问卷的验证
Andrea Rodriguez Quiroga1, Juan Segundo Peña Loray1, Laura Bongiardino1
1Fundación Turning Point para la Salud y la Sostenibilidad, Barcelona, España.
PloS one
|October 3, 2024
概括
这项研究验证了阿根廷的认识论信任,不信任和信任调查问卷 (ETMCQ). 经过验证的ETMCQ可靠地测量了非临床人群中的认识论立场及其与心理因素的联系.
科学领域:
- 心理学 心理学 心理学
- 社会心理学 社会心理学
背景情况:
- 认识的信任,对传达的知识的信任,在心理学中被理论上探讨.
- 认识论信任措施的经验验证是必要的,特别是在不同的文化背景下.
研究的目的:
- 在阿根廷的样本中测试 Epistemic 信任,不信任和信任问卷 (ETMCQ) 的因数有效性和可靠性.
- 探索认识论立场与社会人口统计学变量之间的关联,低心态化,依恋,创伤和精神病理学.
主要方法:
- 两项研究 (N=1018,N=559) 检查了ETMCQ的因数结构和内部一致性.
- 评估了因数结构,测试-重新测试可靠性和跨性别测量不变性.
- 分析了与心理变量和社会人口统计学因素调节的相关性.
主要成果:
- 在这两项研究中都证实了ETMCQ的15项,三因素解决方案.
- 认识态度与焦虑/恐惧的依恋,低心态化,创伤和精神病理学有显著的相关性.
- 性别,经济和教育水平调节了虚构化和认识论立场之间的关系.
结论:
- 阿根廷版本的ETMCQ是评估非临床人群的认识体系信任,不信任和轻信的有效和可靠措施.
- 这些发现支持ETMCQ对知识信任和相关心理因素的临床和理论研究的实用性.
相关概念视频
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.
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.
Confirmation Biases
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
Social Proof
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
Accuracy and Errors in Hypothesis Testing
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Self-Report Tests of Personality
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.


