Using Timed Event Sequential Data in Nursing Research

• Autores: Kristen E. Pecanac, Barbara Doherty-King, Ju Young Yoon, Roger Brown, Tony Schiefelbein
• Localización: Nursing research: An AJN Company publication, ISSN 0029-6562, Vol. 64, Nº. 1, 2015, págs. 67-71
• Idioma: inglés
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• Resumen

  • Background: Measuring behavior is important in nursing research, and innovative technologies are needed to capture the “real-life” complexity of behaviors and events.

    Purpose: The purpose of this article is to describe the use of timed event sequential data in nursing research and to demonstrate the use of this data in a research study.

    Discussion: Timed event sequencing allows the researcher to capture the frequency, duration, and sequence of behaviors as they occur in an observation period and to link the behaviors to contextual details. Timed event sequential data can easily be collected with handheld computers, loaded with a software program designed for capturing observations in real time.

    Conclusion: Timed event sequential data add considerable strength to analysis of any nursing behavior of interest, which can enhance understanding and lead to improvement in nursing practice.