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采用匹配混合方法设计将定性数据转化为定量值:一种新的方法学途径。

Converting qualitative data into quantitative values using a matched mixed-methods design: A new methodological approach.

机构信息

School of Nursing, Max Stern Yezreel Valley College, The Yezreel Valley, Israel.

Nursing Department, Ariel University, Ariel, Israel.

出版信息

J Adv Nurs. 2023 Nov;79(11):4398-4410. doi: 10.1111/jan.15649. Epub 2023 Mar 20.

Abstract

BACKGROUND

Quantifying qualitative data as part of mixed-methods research (MMR) can add to the study results' analysis. Comparable results may reinforce the conclusions, while differences hold an opportunity for an in-depth discussion. To date, there is little guidance for researchers seeking to quantify their qualitative data.

OBJECTIVES

Describing conversion of qualitative data to quantitative values, comparison with matched questionnaire results, discussing the benefits of this process and the matched MMR design.

METHODS

We describe in detail how qualitative data from 46 interviews were converted into quantitative values (i.e., quantitative-qualitative values, QQVs) using MMR design, enabling a comparison of results from interviews and questionnaires obtained from the same participants. This process was embedded in a larger MMR study on family-caregivers caring for people-with-end-stage-dementia conducted between the years 2020-2021.

RESULTS

A QQV was generated for three main themes and compared to the questionnaires' scores regarding the same topics. There were no significant differences between the scores regarding 'satisfaction with nurses and physicians care', and 'discussion with nurses and physicians about end-of-life care'. However, for 'burden', the QQV score was significantly higher than the questionnaires' score.

DISCUSSION

We described how to use a matched MMR design to produce and compare QQV from interviews with questionnaire scores. This methodology may allow further valuable discussion if the results are either similar or not, and for better integration and easier presentation of the results. Comparable results can reinforce the conclusions from both parts of the MMR study, while differences hold an opportunity for an in-depth discussion regarding their meaning and context. Although we claim that this methodology can be embedded in the MMR structure and contribute significantly to the discussion's depth, it by no means replaces the traditional MMR design.

PATIENT AND PUBLIC CONTRIBUTION

No patient or public contribution.

摘要

背景

作为混合方法研究(MMR)的一部分,对定性数据进行量化可以增加研究结果的分析。可比的结果可以加强结论,而差异则为深入讨论提供了机会。迄今为止,寻求量化其定性数据的研究人员几乎没有指导。

目的

描述将定性数据转换为定量值,与匹配的问卷结果进行比较,讨论该过程的好处以及匹配的 MMR 设计。

方法

我们详细描述了如何使用 MMR 设计将 46 次访谈中的定性数据转换为定量值(即定量-定性值,QQV),从而能够比较来自同一参与者的访谈和问卷的结果。这个过程嵌入在一个更大的 MMR 研究中,该研究涉及 2020 年至 2021 年期间家庭护理人员对终末期痴呆患者的护理。

结果

生成了三个主要主题的 QQV,并与同一主题的问卷得分进行了比较。在“对护士和医生护理的满意度”和“与护士和医生讨论临终关怀”方面,得分没有显著差异。然而,在“负担”方面,QQV 得分显著高于问卷得分。

讨论

我们描述了如何使用匹配的 MMR 设计从访谈中生成和比较 QQV 与问卷得分。如果结果相似或不相似,这种方法可能会允许进行进一步的有价值的讨论,并更好地整合和更轻松地呈现结果。可比的结果可以加强 MMR 研究两部分的结论,而差异则为其意义和背景提供了深入讨论的机会。虽然我们声称这种方法可以嵌入到 MMR 结构中,并为讨论的深度做出重大贡献,但它绝不能替代传统的 MMR 设计。

患者和公众贡献

无患者或公众贡献。

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