Using explanatory sequential mixed methods to analyze interview data from radiation oncology professionals in SPSS and NVivo / David J. Romanofski.

Format:

Book

Author/Creator:

Romanofski, David J., author.

Language:

English

Subjects (All):

Oncology--Safety measures--Research--Methodology.

Oncology.

Mixed methods research--Methodology.

Mixed methods research.

Data sets.

Physical Description:

1 online resource

Place of Publication:

London : SAGE Publications Ltd, 2026.

Summary:

This dataset demonstrates how to apply an explanatory sequential mixed methods design to evaluate safety protocol adoption and patient safety culture in radiation oncology. The dataset includes quantitative survey responses and qualitative focus group and interview excerpts collected from healthcare professionals across the Delaware Valley. It illustrates how through analysis, quantitative data identify safety trends and how qualitative analysis provides context for those patterns. Using SPSS for descriptive statistics and NVivo for thematic coding, learners can explore relationships between professional roles, communication behaviors, and safety outcomes. The dataset supports instruction on data cleaning, coding consistency, integration of numeric and text data, and interpretation of convergent results. By working through this example, students gain practical skills in mixed methods design, statistical reasoning, and qualitative synthesis—core competencies for evidence-based research in healthcare and education. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide (Braun & Clarke, 2022, Romanofski, 2025, James, 2013, Reason, 2000).

Notes:

Description based on XML content.

ISBN:

9781036253004

OCLC:

1594889632

Publisher Number:

T303040