Paulina Pankowska
Biographic Data
| ID | 889281 |
|---|---|
| NAME | Paulina Pankowska |
| GIVEN NAMES | Paulina |
| FAMILY NAME | Pankowska |
| SIGNATURE | PANKOWSKA P |
| AFFILIATIONS | Utrecht University |
| ORCID | 0000-0001-6226-6814 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Beyond the ideal type
Noting widespread disenchantment with representative actors and institutions, a growing field of research has investigated public support for decision-making by alternative actors, such as ordinary citizens and independent experts. However, previous research has mainly focused on ideal-type models of government centred on a single actor, rather than considering that citizens may hold ‘mixed preferences’ for multiple actors. Through a latent profi…
The effect of measurement error on clustering
Clustering is a set of statistical techniques widely applied in the social sciences. While an important and useful tool, traditional clustering techniques tend to assume that the data are free from measurement error, which is often an unrealistic assumption. In this paper, we perform a Monte Carlo study to investigate the sensitivity of different clustering techniques to measurement error. We focus on three commonly used approaches: latent profil…
Using hidden Markov models to assess and correct for measurement error in digital trace data
Digital trace data are increasingly used across the social and behavioral sciences. They allow researchers to access large volumes of highly detailed and continuous information. Such scale and speed cannot be achieved when using traditional sources, such as surveys. Digital traces are also believed to overcome some of the limitations that surveys are criticized for. However, while their use undoubtedly presents researchers with new possibilities,…
Comparing political participation profiles in four Western European countries
Most studies of political participation have either focused on specific political behaviours or combined several behaviours into additive scales of institutional versus non‐institutional participation. Through a multi‐group latent class analysis of participation in 15 different political actions, conducted among citizens from four Western European countries, we identified five empirically grounded participant types that differ in their political …
Financial retirement planning processes in the Netherlands
The solo self‐employed workforce is growing across Europe, a group which often faces greater individual responsibility for retirement preparation than employees. Using a situational strength framework, this study investigates psychological mechanisms behind retirement planning among employees and three types of solo self‐employed workers: voluntary, natural, and forced. Based on survey data from 3,450 Dutch workers aged 40–67, a multi‐group struc…
Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model
Digital trace data are receiving increased attention as a potential way to capture human behavior. Nevertheless, this type of data is far from perfect and may not always provide better data compared to traditional social surveys. In this study we estimate measurement quality of survey and digital trace data on smartphone usage with a MultiTrait MultiMethod (MTMM) model. The experimental design included five topics relating to the use of smartphon…
The potential of benchmark challenges in the social sciences
Social scientists aim to create explanations of the world. For each social phenomenon, scientists have proposed a myriad of theories to explain its working mechanisms. Traditionally, these theories are tested by generating hypotheses, translating them into a statistical model, and assessing the significance of the model's coefficients. Such an approach, however, often leads to the specification of a large number of (at times contradictory) models…
Do You Have Two Minutes to Talk about Your Data? Willingness to Participate and Nonparticipation Bias in Facebook Data Donation
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook users asking them to donate two data packages. While around 80% of participants were willing to donate t…
Do You Have Two Minutes to Talk about Your Data? Willingness to Participate and Nonparticipation Bias in Facebook Data Donation
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook users asking them to donate two data packages. While around 80% of participants were willing to donate t…
Comparing political participation profiles in four Western European countries
Most studies of political participation have either focused on specific political behaviours or combined several behaviours into additive scales of institutional versus non‐institutional participation. Through a multi‐group latent class analysis of participation in 15 different political actions, conducted among citizens from four Western European countries, we identified five empirically grounded participant types that differ in their political …
Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model
Digital trace data are receiving increased attention as a potential way to capture human behavior. Nevertheless, this type of data is far from perfect and may not always provide better data compared to traditional social surveys. In this study we estimate measurement quality of survey and digital trace data on smartphone usage with a MultiTrait MultiMethod (MTMM) model. The experimental design included five topics relating to the use of smartphon…
The potential of benchmark challenges in the social sciences
Social scientists aim to create explanations of the world. For each social phenomenon, scientists have proposed a myriad of theories to explain its working mechanisms. Traditionally, these theories are tested by generating hypotheses, translating them into a statistical model, and assessing the significance of the model's coefficients. Such an approach, however, often leads to the specification of a large number of (at times contradictory) models…
Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model
Digital trace data are receiving increased attention as a potential way to capture human behavior. Nevertheless, this type of data is far from perfect and may not always provide better data compared to traditional social surveys. In this study we estimate measurement quality of survey and digital trace data on smartphone usage with a MultiTrait MultiMethod (MTMM) model. The experimental design included five topics relating to the use of smartphon…
The potential of benchmark challenges in the social sciences
Social scientists aim to create explanations of the world. For each social phenomenon, scientists have proposed a myriad of theories to explain its working mechanisms. Traditionally, these theories are tested by generating hypotheses, translating them into a statistical model, and assessing the significance of the model's coefficients. Such an approach, however, often leads to the specification of a large number of (at times contradictory) models…
Do You Have Two Minutes to Talk about Your Data? Willingness to Participate and Nonparticipation Bias in Facebook Data Donation
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook users asking them to donate two data packages. While around 80% of participants were willing to donate t…
The effect of measurement error on clustering
Clustering is a set of statistical techniques widely applied in the social sciences. While an important and useful tool, traditional clustering techniques tend to assume that the data are free from measurement error, which is often an unrealistic assumption. In this paper, we perform a Monte Carlo study to investigate the sensitivity of different clustering techniques to measurement error. We focus on three commonly used approaches: latent profil…
Using hidden Markov models to assess and correct for measurement error in digital trace data
Digital trace data are increasingly used across the social and behavioral sciences. They allow researchers to access large volumes of highly detailed and continuous information. Such scale and speed cannot be achieved when using traditional sources, such as surveys. Digital traces are also believed to overcome some of the limitations that surveys are criticized for. However, while their use undoubtedly presents researchers with new possibilities,…
Comparing political participation profiles in four Western European countries
Most studies of political participation have either focused on specific political behaviours or combined several behaviours into additive scales of institutional versus non‐institutional participation. Through a multi‐group latent class analysis of participation in 15 different political actions, conducted among citizens from four Western European countries, we identified five empirically grounded participant types that differ in their political …
Financial retirement planning processes in the Netherlands
The solo self‐employed workforce is growing across Europe, a group which often faces greater individual responsibility for retirement preparation than employees. Using a situational strength framework, this study investigates psychological mechanisms behind retirement planning among employees and three types of solo self‐employed workers: voluntary, natural, and forced. Based on survey data from 3,450 Dutch workers aged 40–67, a multi‐group struc…
Beyond the ideal type
Noting widespread disenchantment with representative actors and institutions, a growing field of research has investigated public support for decision-making by alternative actors, such as ordinary citizens and independent experts. However, previous research has mainly focused on ideal-type models of government centred on a single actor, rather than considering that citizens may hold ‘mixed preferences’ for multiple actors. Through a latent profi…
Computer Science (4 works) · Mathematics (3 works) · Statistics (3 works) · Business (2 works) · Econometrics (2 works) · Electoral Systems and Political Participation (2 works) · Empirical research (2 works) · Political science (2 works) · Privacy-Preserving Technologies in Data (2 works) · Social Media and Politics (2 works)