# Navigating Integration in Mixed‐Methods: A Practical Guide for Novice Nursing Researchers

## TL;DR

This paper offers a practical guide for novice nursing researchers to effectively integrate qualitative and quantitative data in mixed-methods studies.

## Contribution

The paper introduces a step-by-step approach for integrating survey and interview data using strategies like joint displays and narrative weaving.

## Key findings

- Robust integration of mixed-methods data requires planning from the study's outset.
- Purposeful integration points and joint displays enhance understanding beyond single-method insights.
- Narrative synthesis of meta-inferences can generate deeper insights in mixed-methods research.

## Abstract

Mixed‐methods research is increasingly used in healthcare to understand complex issues, yet integration of qualitative and quantitative findings remains challenging, particularly for novice researchers. This paper provides a practical guide for nursing researchers to integrate survey and interview data effectively. Using a sequential explanatory design exemplar with an embedded quasi‐experimental component, we demonstrate key integration strategies, including joint displays and narrative weaving. The paper emphasizes that robust integration must be planned from the outset, with clear goals specifying how data types will address research questions. We illustrate how purposeful integration points, carefully constructed joint displays, and narrative synthesis of meta‐inferences can generate deeper insights than either method alone. By providing concrete examples and step‐by‐step guidance, this resource equips novice researchers with essential skills for achieving rigorous, cohesive integration in mixed‐methods studies.