相关实验视频
Updated: Jul 12, 2025

10:32
Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
18.5K
在护士中修订的土耳其版本死亡抑郁量表的可靠性和有效性研究
Ömer Ödek1,2, Mümin Savas2,3, Filiz Özkan4
1Kayseri City Training and Research Hospital, Kayseri, Turkey.
Omega
|October 30, 2023
概括
这项研究验证了针对护士的土耳其死亡抑郁量表 (DDS-R),证实了其可靠性和有效性. DDS-R是评估护理专业人员死亡抑郁症的可靠工具.
科学领域:
- 心理测量 心理测量
- 护理研究 护理研究
- 心理测量 心理测量 心理测量
背景情况:
- 评估死亡抑郁症在护理中至关重要.
- 修订的死亡抑郁量表 (DDS-R) 是一个关键的工具.
- 验证土耳其版本 (DDS-R) 对本地研究至关重要.
研究的目的:
- 确定土耳其版本的死亡抑郁量表修订版 (DDS-R) 的可靠性和有效性.
- 在土耳其护士样本中评估DDS-R的心理测量特性.
主要方法:
- 这项研究涉及284名护士.
- 使用克朗巴赫的α系数和测试-重试系数来评估可靠性.
- 通过内容有效性指数 (CVI),探索因素分析 (EFA) 和确认因素分析 (CFA) 检查了有效性.
主要成果:
- 发现了高的内部一致性 (克朗巴赫的α = .909).
- 测试复试可靠性很强 (r = .880).
- 因子分析支持一个四维结构,解释了62.254%的方差,在CFA中很好地适合模型.
结论:
- 土耳其版本的DDS-R是一个可靠和有效的测量工具.
- 它适用于在土耳其的护士中确定死亡抑郁水平.
相关概念视频
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
Kubler Ross's Stages of Dying
79
Elisabeth Kübler-Ross significantly advanced psychology's understanding of the process of dying with her influential book, On Death and Dying (1969). She focused on studying terminally ill individuals and outlined five stages commonly experienced when coping with death: denial, anger, bargaining, depression, and acceptance.
In denial, individuals reject the reality of their condition, often thinking, "This isn't true; I feel fine," as a way to protect themselves from...
In denial, individuals reject the reality of their condition, often thinking, "This isn't true; I feel fine," as a way to protect themselves from...
79
Depressive Disorders: Etiology
104
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
104
Formulating and Validating Nursing Diagnosis II
2.8K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
2.8K
Nursing Evaluation
3.3K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.3K
Data Validation
5.1K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
5.1K

