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All Outputs (6)

The World Isn’t Fair, but Shouldn’t Elections Be? Evaluating Prospective Beliefs about the Fairness of Elections and Referenda (2022)
Journal Article

Almost all academic literature about the causes and consequences of fairness of elections and referenda is based on retrospective evaluations. One of the strongest findings of such studies is that nonvoting is higher among citizens who retrospectivel... Read More about The World Isn’t Fair, but Shouldn’t Elections Be? Evaluating Prospective Beliefs about the Fairness of Elections and Referenda.

Winner–loser effects in contentious constitutional referenda: Perceptions of procedural fairness and the Brexit referendum (2020)
Journal Article

This paper addresses a critical gap in the literature on winner-loser effects that consists of the lack of attention for highly contentious constitutional referenda. It uses unique multi-wave panel data of over 13,000 people that is unrivalled in siz... Read More about Winner–loser effects in contentious constitutional referenda: Perceptions of procedural fairness and the Brexit referendum.

Unintended consequences of negative campaigning: Backlash and second-preference boost effects in a multi-party context (2019)
Journal Article

This study examines effects of negative campaigning by political parties on citizens’ electoral preferences in the 2015 General Election in England. We do so by using a large Internet panel study and an operationalisation of (perceived) negative camp... Read More about Unintended consequences of negative campaigning: Backlash and second-preference boost effects in a multi-party context.

Risky business: factor analysis of survey data – assessing the probability of incorrect dimensionalisation (2015)
Journal Article

This paper undertakes a systematic assessment of the extent to which factor analysis the correct number of latent dimensions (factors) when applied to ordered categorical survey items (so-called Likert items). We simulate 2400 data sets of uni-dimens... Read More about Risky business: factor analysis of survey data – assessing the probability of incorrect dimensionalisation.