Jouni Kuha
Biographic Data
| ID | 224684 |
|---|---|
| NAME | Jouni Kuha |
| GIVEN NAMES | Jouni |
| FAMILY NAME | Kuha |
| SIGNATURE | KUHA J |
| AFFILIATIONS | London School of Economics and Political Science |
| ORCID | 0000-0002-1156-8465 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 228 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Survey Experience and Nonresponse in an Online Probability Panel
We fit discrete-time survival models to data from an online probability panel (OPP), where the outcome is the respondent’s first nonresponse to a survey invitation, following at least one previous survey completion. This approach has the advantage of utilizing information about survey experiences over multiple survey waves, while accommodating the unbalanced data structure typical of OPPs, where the number, timing, and content of survey invitatio…
Why do people cooperate with the police and criminal courts? A test of procedural justice theory in 30 countries
This article presents a cross‐national test of the portability of procedural justice theory (PJT). Drawing on nationally representative survey data from 30 diverse social, political, and legal contexts across Europe and beyond, we find that the theory travels well across national borders and that its psychological purchase is particularly pronounced in societies where fair policing is considered the norm. First, in most countries, a normative acc…
Multilevel Latent Class Analysis
Latent class (LC) analysis is a model-based clustering approach for categorical data, with a wide range of applications in the social sciences and beyond. When the data have a hierarchical structure, the multilevel LC model can be used to account for higher-level dependencies between the units by means of a further categorical LC variable at the group level. The research interest of LC analysis typically lies in the relationship between the LCs a…
Two-Step Multilevel Latent Class Analysis in the Presence of Measurement Non-Equivalence
We consider estimation of two-level latent class models for clustered data, when the measurement model for the observed measurement items includes non-equivalence of measurement with respect to some observed covariates. The parameters of interest are coefficients in structural models for the latent classes given covariates. We propose a two-step method of estimation. This extends previously proposed methods of two-step estimation for models witho…
Uncovering Digital Trace Data Biases
Digital trace data is an increasingly popular alternative to surveys, often considered as the gold standard. This study critically assesses the use of web tracking data to study online media exposure. Specifically, we focus on a critical error source of this type of data, tracking undercoverage: researchers’ failure to capture data from all the devices and browsers that individuals utilize to go online. Using data from Spain, Portugal, and Italy,…
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects
In this article, we present a two-stage estimation approach applied to multilevel latent class analysis (LCA) with covariates. We separate the estimation of the measurement and structural model. This makes the extension of the structural model computationally efficient. We investigate the robustness against misspecifications of the proposed two-stage and the classical one-stage approach for models where a direct effect exists between indicators o…
On Group Comparisons With Logistic Regression Models
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the second when models are compared between groups that have different distributions of other causes of t…
Residential segregation and the fertility of immigrants and their descendants
Measures of community population composition, such as residential segregation, are important theoretical mechanisms that have the potential to explain differences in fertility between immigrants, their descendants, and destination natives. However, only a handful of studies explore these mechanisms, and most are limited by the fact that they carry out cross‐sectional analysis. This study proposes a new approach, which focuses on community composi…
Organizational support for the workforce and employee safety citizenship behaviors
Employee safety citizenship behaviors are crucial to risk management in safety-critical industries, and identifying ways to encourage them is a priority. This study examines (i) whether safety citizenship behaviors are a product of social exchanges between employees and organizations, and (ii) the organizational exchanges (i.e. actual activities to support employees) that underlie this relationship. We studied this in the offshore oil and gas ind…
Comment on ‘What to do instead of significance testing? Calculating the “number of counterfactual cases needed to disturb a finding”’ by Stephen Gorard and Jonathan Gorard
This article refers to:What to do instead of significance testing? Calculating the ‘number of counterfactual cases needed to disturb a finding’This article is related to:Explaining the number of counterfactual cases needed to disturb a finding: a reply to Kuha and Sturgis
The mobility problem in Britain
Social mobility is now a matter of greater political concern in Britain than at any time previously. However, the data available for the determination of mobility trends are less adequate today than two or three decades ago. It is widely believed in political and in media circles that social mobility is in decline. But the evidence so far available from sociological research, focused on intergenerational class mobility, is not supportive of this …
Ethnic diversity, segregation and the social cohesion of neighbourhoods in London
The question of whether and how ethnic diversity affects the social cohesion of communities has become an increasingly prominent and contested topic of academic and political debate. In this paper we focus on a single city: London. As possibly the most ethnically diverse conurbation on the planet, London serves as a particularly suitable test-bed for theories about the effects of ethnic heterogeneity on prosocial attitudes. We find neighbourhood …
Developing European indicators of trust in justice
A social indicators approach to trust in justice recognizes that the police and criminal courts need public support and institutional legitimacy if they are to operate effectively and fairly. In order to generate public cooperation and compliance, these institutions must demonstrate to citizens that they are trustworthy and that they possess the authority to govern. In this paper we first outline the conceptual roadmap for a current comparative a…
AIC and BIC
The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike's information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed. Despite their different foundations, some similarities between the two statistics can be observed, for example, in analogous …
A Nonparametric Approach to Matched Pairs with Missing Data
The matched-pairs t-statistic on the overall ranks is extended to data with observations missing at random. Either one of the two variables is allowed to be missing. The procedure is completely nonparametric. Comparisons with the likelihood ratio test for normal data indicate that the proposed method fares well when the data are normal and outperforms it in other cases. Simulations also confirm that the proposed method has higher power than commo…
Ethnic diversity, segregation and the social cohesion of neighbourhoods in London
The question of whether and how ethnic diversity affects the social cohesion of communities has become an increasingly prominent and contested topic of academic and political debate. In this paper we focus on a single city: London. As possibly the most ethnically diverse conurbation on the planet, London serves as a particularly suitable test-bed for theories about the effects of ethnic heterogeneity on prosocial attitudes. We find neighbourhood …
The mobility problem in Britain
Social mobility is now a matter of greater political concern in Britain than at any time previously. However, the data available for the determination of mobility trends are less adequate today than two or three decades ago. It is widely believed in political and in media circles that social mobility is in decline. But the evidence so far available from sociological research, focused on intergenerational class mobility, is not supportive of this …
AIC and BIC
The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike's information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed. Despite their different foundations, some similarities between the two statistics can be observed, for example, in analogous …
Residential segregation and the fertility of immigrants and their descendants
Measures of community population composition, such as residential segregation, are important theoretical mechanisms that have the potential to explain differences in fertility between immigrants, their descendants, and destination natives. However, only a handful of studies explore these mechanisms, and most are limited by the fact that they carry out cross‐sectional analysis. This study proposes a new approach, which focuses on community composi…
On Group Comparisons With Logistic Regression Models
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the second when models are compared between groups that have different distributions of other causes of t…
Uncovering Digital Trace Data Biases
Digital trace data is an increasingly popular alternative to surveys, often considered as the gold standard. This study critically assesses the use of web tracking data to study online media exposure. Specifically, we focus on a critical error source of this type of data, tracking undercoverage: researchers’ failure to capture data from all the devices and browsers that individuals utilize to go online. Using data from Spain, Portugal, and Italy,…
Organizational support for the workforce and employee safety citizenship behaviors
Employee safety citizenship behaviors are crucial to risk management in safety-critical industries, and identifying ways to encourage them is a priority. This study examines (i) whether safety citizenship behaviors are a product of social exchanges between employees and organizations, and (ii) the organizational exchanges (i.e. actual activities to support employees) that underlie this relationship. We studied this in the offshore oil and gas ind…
A Nonparametric Approach to Matched Pairs with Missing Data
The matched-pairs t-statistic on the overall ranks is extended to data with observations missing at random. Either one of the two variables is allowed to be missing. The procedure is completely nonparametric. Comparisons with the likelihood ratio test for normal data indicate that the proposed method fares well when the data are normal and outperforms it in other cases. Simulations also confirm that the proposed method has higher power than commo…
AIC and BIC
The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike's information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed. Despite their different foundations, some similarities between the two statistics can be observed, for example, in analogous …
Developing European indicators of trust in justice
A social indicators approach to trust in justice recognizes that the police and criminal courts need public support and institutional legitimacy if they are to operate effectively and fairly. In order to generate public cooperation and compliance, these institutions must demonstrate to citizens that they are trustworthy and that they possess the authority to govern. In this paper we first outline the conceptual roadmap for a current comparative a…
Ethnic diversity, segregation and the social cohesion of neighbourhoods in London
The question of whether and how ethnic diversity affects the social cohesion of communities has become an increasingly prominent and contested topic of academic and political debate. In this paper we focus on a single city: London. As possibly the most ethnically diverse conurbation on the planet, London serves as a particularly suitable test-bed for theories about the effects of ethnic heterogeneity on prosocial attitudes. We find neighbourhood …
The mobility problem in Britain
Social mobility is now a matter of greater political concern in Britain than at any time previously. However, the data available for the determination of mobility trends are less adequate today than two or three decades ago. It is widely believed in political and in media circles that social mobility is in decline. But the evidence so far available from sociological research, focused on intergenerational class mobility, is not supportive of this …
Comment on ‘What to do instead of significance testing? Calculating the “number of counterfactual cases needed to disturb a finding”’ by Stephen Gorard and Jonathan Gorard
This article refers to:What to do instead of significance testing? Calculating the ‘number of counterfactual cases needed to disturb a finding’This article is related to:Explaining the number of counterfactual cases needed to disturb a finding: a reply to Kuha and Sturgis
Residential segregation and the fertility of immigrants and their descendants
Measures of community population composition, such as residential segregation, are important theoretical mechanisms that have the potential to explain differences in fertility between immigrants, their descendants, and destination natives. However, only a handful of studies explore these mechanisms, and most are limited by the fact that they carry out cross‐sectional analysis. This study proposes a new approach, which focuses on community composi…
Organizational support for the workforce and employee safety citizenship behaviors
Employee safety citizenship behaviors are crucial to risk management in safety-critical industries, and identifying ways to encourage them is a priority. This study examines (i) whether safety citizenship behaviors are a product of social exchanges between employees and organizations, and (ii) the organizational exchanges (i.e. actual activities to support employees) that underlie this relationship. We studied this in the offshore oil and gas ind…
On Group Comparisons With Logistic Regression Models
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the second when models are compared between groups that have different distributions of other causes of t…
Two-stage Multilevel Latent Class Analysis with Covariates in the Presence of Direct Effects
In this article, we present a two-stage estimation approach applied to multilevel latent class analysis (LCA) with covariates. We separate the estimation of the measurement and structural model. This makes the extension of the structural model computationally efficient. We investigate the robustness against misspecifications of the proposed two-stage and the classical one-stage approach for models where a direct effect exists between indicators o…
Uncovering Digital Trace Data Biases
Digital trace data is an increasingly popular alternative to surveys, often considered as the gold standard. This study critically assesses the use of web tracking data to study online media exposure. Specifically, we focus on a critical error source of this type of data, tracking undercoverage: researchers’ failure to capture data from all the devices and browsers that individuals utilize to go online. Using data from Spain, Portugal, and Italy,…
Multilevel Latent Class Analysis
Latent class (LC) analysis is a model-based clustering approach for categorical data, with a wide range of applications in the social sciences and beyond. When the data have a hierarchical structure, the multilevel LC model can be used to account for higher-level dependencies between the units by means of a further categorical LC variable at the group level. The research interest of LC analysis typically lies in the relationship between the LCs a…
Two-Step Multilevel Latent Class Analysis in the Presence of Measurement Non-Equivalence
We consider estimation of two-level latent class models for clustered data, when the measurement model for the observed measurement items includes non-equivalence of measurement with respect to some observed covariates. The parameters of interest are coefficients in structural models for the latent classes given covariates. We propose a two-step method of estimation. This extends previously proposed methods of two-step estimation for models witho…
Survey Experience and Nonresponse in an Online Probability Panel
We fit discrete-time survival models to data from an online probability panel (OPP), where the outcome is the respondent’s first nonresponse to a survey invitation, following at least one previous survey completion. This approach has the advantage of utilizing information about survey experiences over multiple survey waves, while accommodating the unbalanced data structure typical of OPPs, where the number, timing, and content of survey invitatio…
Why do people cooperate with the police and criminal courts? A test of procedural justice theory in 30 countries
This article presents a cross‐national test of the portability of procedural justice theory (PJT). Drawing on nationally representative survey data from 30 diverse social, political, and legal contexts across Europe and beyond, we find that the theory travels well across national borders and that its psychological purchase is particularly pronounced in societies where fair policing is considered the norm. First, in most countries, a normative acc…
Computer Science (8 works) · Mathematics (8 works) · Statistics (7 works) · Psychology (6 works) · Econometrics (5 works) · Artificial Intelligence (4 works) · Political science (4 works) · Social Psychology (4 works) · Statistical Methods and Bayesian Inference (4 works) · Advanced Statistical Methods and Models (3 works)