对复发早期预警信号的适应管理问卷:有效性和可靠性
1Assistant Professor, Psychiatric Nursing, School of Nursing, University of Jordan-Aqaba Campus, Aqaba, Jordan.
Archives of psychiatric nursing
|August 6, 2023
概括
对复发的早期预警迹象的自我管理对于降低复发率至关重要. 调整后的问卷有效地评估了患者的情况.
科学领域:
- 精神病学和行为科学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 对复发的早期预警信号进行有效的自我管理对于降低复发率至关重要.
- 开发强大的方法来处理和管理这些症状对于患者的结果至关重要.
结论:
- 调整后的问卷是一个有效和可靠的工具,用于评估复发早期预警信号的自我管理.
- 该工具可用于评估旨在提高复发自我管理技能的干预措施的有效性.
相关概念视频
Reliability and Validity
12.8K
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.
12.8K
Self-Report Tests of Personality
381
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.
381
Psychological and Sociocultural Causes of Schizophrenia
139
Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
139
Assumptions of Survival Analysis
155
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
155


