Mixed methods research Part 2: Designing an online experimental survey from prior qualitative research and using one-way ANOVA in SPSS for data analysis

Dineva, Denitsa ORCID: https://orcid.org/0000-0003-0451-9021 2023. Mixed methods research Part 2: Designing an online experimental survey from prior qualitative research and using one-way ANOVA in SPSS for data analysis. SAGE Publications.

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Abstract

This dataset article explains the second stage of a mixed methods research design set within an overall quantitative piece of research. It provides a step-by-step guide on designing, collecting, and analysing quantitative data based on prior qualitative research via the methods of experimental survey design and one-way Analysis of Variance (ANOVA). Experimental design is a common research method that seeks to provide a scientific explanation for the impact of one (independent) variable on another (dependent) variable. ANOVA, in turn, uncovers whether there are any statistical differences between the means of three or more independent groups on the dependent variable. This dataset article contains data collected from an online experiment assessing the impact of six brand conflict management strategies (independent variable) on consumer attitudes and Corporate Social Responsibility (CSR) perceptions (dependent variables).

Item Type:	Other
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	SAGE Publications
Last Modified:	26 Oct 2023 13:17
URI:	https://orca.cardiff.ac.uk/id/eprint/158919

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