ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

定量主导的并发嵌入式混合方法设计×定量优先混合方法设计×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份2003–20072003–2009
提出者John W. Creswell & Vicki L. Plano ClarkCreswell & Plano Clark; Teddlie & Tashakkori
类型Mixed methods research designMixed methods research design
开创性文献Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications. ISBN: 978-1483344379Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
别名QUAN-dominant embedded design, concurrent embedded design (QUAN priority), quantitative-primary embedded mixed methods, QUAN+qual embedded designQUAN-dominant mixed methods, quantitative-dominant mixed methods, quan-priority design, quantitative-first mixed methods
相关56
摘要A mixed methods design in which a dominant quantitative study (survey, experiment, or other large-scale numeric inquiry) is conducted simultaneously with a smaller, embedded qualitative component. The qualitative strand serves a secondary, supporting role — such as explaining mechanisms, capturing participant experience, or monitoring implementation — while the quantitative strand drives the primary research questions and conclusions. Both strands run concurrently rather than sequentially.Quantitative-priority mixed methods design is a research approach in which quantitative data and analysis carry the primary explanatory weight, while qualitative data play a supplementary or corroborating role. The researcher collects and analyzes quantitative data first (or concurrently with greater emphasis), then uses qualitative findings to elaborate, explain, or contextualize the statistical results. Priority and sequence together define where integration occurs and how each strand informs the other.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Quantitative-dominant concurrent embedded mixed methods · Quantitative-priority mixed methods design. 于 2026-06-17 检索自 https://scholargate.app/zh/compare