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. 2019 Apr 5;10:342. doi: 10.3389/fpsyg.2019.00342

Table 2.

Overview of methods used to research behavioral spillover: examples from environmental behavior.

Methodological approach Data collection and analysis methods Examples from environmental behavior Strengths Weaknesses
Qualitative • Interviews or open-ended survey questions Austin et al., 2011; Boström et al., 2015; Nash et al., 2019; Uzzell and Räthzel, 2018 • Expose unexpected spillovers • Risk of presentational bias
• Thematic, content, discourse (or similar) analysis • Shed light on spillover mechanisms, drivers and barriers • Partial or selective recollection • No measurement standardization
• Self-reports or other (e.g., practitioner) accounts
• Biographical (retrospective) or evaluative (during/immediately after intervention)
Quantitative (cross-sectional) • Survey, card sort or secondary data analysis (e.g., retail data) Thøgersen, 1999; Barr et al., 2010; Whitmarsh and O’Neill, 2010; Austin et al., 2011; Gabe-Thomas et al., 2016 • Quantify strength of relationships between measured behaviors • No causal relationships identified
• Cluster or factor analysis • Measurement standardization • Limited to expected spillovers
• Correlational analysis
• Regression analysis
Quantitative (longitudinal) • Surveys at 2+ timepoints Thøgersen and Noblet, 2012; Kaida and Kaida, 2015; Poortinga et al., 2013; Thomas et al., 2016. • Quantify strength of relationships between measured behaviors • No causal relationships identified
• Repeated measures analysis or multi-level modeling • Measurement standardization • Limited to expected spillovers
• Correlational analysis
• Regression analysis (including time series, panel data, and difference-in-difference models)
Quantitative (experimental) • Online, laboratory, or field experiments Van der Werff et al., 2014a,b; Juhl et al., 2017. • Causal relationships and mechanisms identified • Limited to expected spillovers
• Self-reported or observed behavior • Measurement standardization
• Randomization to behavioral intervention
• Analysis of variance
• Regression analysis
Mixed-methods • Combination of qualitative and quantitative methods (e.g., experiment and interviews) Verfuerth, in preparation; Lede, in preparation. As above As above