Pauliina Vuorinen, PhD

Focus group study for a Finnish organisation

Qualitative transcription
Thematic analysis Network analysis R

Mixed methods analysis to understand differences in political and ideological beliefs between demographic groups in Finland.

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How do motivations influence travel behaviour?

Clustering Classification
Factor analysis R
Questionnaire creation

A customer segmentation based on motivational theory and a classification analysis to guide a company in understanding travel behaviour

Effect of advertisements on daily item purchase intentions

Regression analysis
Multilevel modelling
Probability calculations R

Re-analysed an advertising company's existing dataset to understand how advertisements influence the probability of a sale in grocery stores.

Customer satisfaction in travel terminal services

Regression analysis Clustering R

An analysis of which sections in a travel terminal are key for customers' overall satisfaction

The effect of customers' trust on financial service use for a large Finnish bank

Structural equation modelling
Regression analyses
Multilevel modelling R

A large project to assess the effect of customers' trust on Finnish banks as a predictor of use of serices from these financial institutions

Causal relationships between brand attributes and purchase intentions

Structural equation modelling
Analysis pipeline Regression analyses R

An adaptable analysis pipeline using structural equation modelling to gain more insight from an existing dataset. See article (in Finnish)

eBook reading behaviour: the influence of motivation and electronic reading experience

Behavioural measure identification Cognitive psychology
Psychological theories
Multilevel modelling R RMarkdown Participant recruitment

A large-scale study of e-reading behaviour in over 1200 participants. Data was collected using a custom method (see e-reader system) over 11 months and analysed in R using multilevel modelling. Work presented in a seminar in University of Jyväskylä, publications currently under work, full study presented in chapter 5 of my PhD thesis: see here.

Behavioural analysis of Amazon Kindle reading behaviour

Combining datasets
Behavioural measure identification
Data cleaning Multilevel modelling RMarkdown Participant recruitment R

I collected participants Amazon Kindle user data and analysed it to understand how adults use Kindle e-readers to read within the context of their daily life. Publications under work, full study presented in chapter 6 of my PhD thesis: see here.

Tracking e-reading behavior: uncovering the effects of task context, electronic experience, and motivation

Research design
Behavioural measure identification
Data cleaning Multilevel modelling RMarkdown Participant recruitment R

A observational study of the ways in which adults read a short story in the context of their daily lives using a custom method (see e-reader system). 60 participants read a short story and their reading behaviour was observed by embedded tracking features. Publication: https://doi.org/10.3389/feduc.2023.1302701

Academic reading behaviour

Research design
Behavioural measure identification
Regression analyses R

MRes dissertation study to understand how undergraduate students read their course material and whether reading behaviours such as annotating text and rereading difficult sections contributes to grades.

Website design for a research project on ebook reading

Website design for a research project on Amazon kindle e-reading behaviour