Jonas Dalege
Biographic Data
| ID | 1663096 |
|---|---|
| NAME | Jonas Dalege |
| GIVEN NAMES | Jonas |
| FAMILY NAME | Dalege |
| SIGNATURE | DALEGE J |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0000-0002-1844-0528 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 40 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Networks of Beliefs
We present a theory of belief dynamics that explains the interplay between internal beliefs in people’s minds and beliefs of others in their external social environments. The Networks of Belief theory goes beyond existing theories of belief dynamics in three ways. First, it provides an explicit connection between belief networks in individual minds and belief dynamics on social networks. The connection, absent from most previous theories, is esta…
A Psychological Network Approach to Attitudes and Preventive Behaviors During Pandemics
Preventive behaviors are crucial to prevent the spread of the coronavirus causing COVID-19. We adopted a complex psychological systems approach to obtain a descriptive account of the network of attitudes and behaviors related to COVID-19. A survey study ( N = 1,022) was conducted with subsamples from the United Kingdom ( n = 502) and the Netherlands ( n = 520). The results highlight the importance of people’s support for, and perceived efficacy o…
Network analysis of multivariate data in psychological science
In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. In these approaches, network nodes represent variables in a data set, and edges represent pairwise conditional associations between variables in the data, while conditioning on the remaining variables. This Primer provides an anatomy of these techniques, describes the current state of the art and discu…
Theory Construction Methodology
This article aims to improve theory formation in psychology by developing a practical methodology for constructing explanatory theories: theory construction methodology (TCM). TCM is a sequence of five steps. First, the theorist identifies a domain of empirical phenomena that becomes the target of explanation. Second, the theorist constructs a prototheory , a set of theoretical principles that putatively explain these phenomena. Third, the protot…
Cognitive-Affective Inconsistency and Ambivalence
This research explored whether overall attitude is a stronger predictor of behavior when underlying cognitive-affective inconsistency or ambivalence is low versus high. Across three prospective studies in different behaviors and populations (Study 1: eating a low-fat diet, N = 136 adults, eating five fruit and vegetables per day, N = 135 adults; Study 2: smoking initiation, N = 4,933 adolescents; and Study 3: physical activity, N = 909 adults) we…
Investigating the Utility of Fixed-margin Sampling in Network Psychometrics
Steinley, Hoffman, Brusco, and Sher (2017) proposed a new method for evaluating the performance of psychological network models: fixed-margin sampling. The authors investigated LASSO regularized Ising models (eLasso) by generating random datasets with the same margins as the original binary dataset, and concluded that many estimated eLasso parameters are not distinguishable from those that would be expected if the data were generated by chance. W…
Toward an Integrative Psychometric Model of Emotions
Emotions are part and parcel of the human condition, but their nature is debated. Three broad classes of theories about the nature of emotions can be distinguished: affect-program theories, constructionist theories, and appraisal theories. Integrating these broad classes of theories into a unifying theory is challenging. An integrative psychometric model of emotions can inform such a theory because psychometric models are intertwined with theoret…
Relating teenagers’ science interest network characteristics to later science course enrolment
Recently, students’ interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International Student Assessment (PISA) 2006 and Longitudinal Surveys of Australian Youth 2008 data (N = 4758) to inves…
Integrating social and cognitive aspects of belief dynamics
Belief change and spread have been studied in many disciplines-- from psychology, sociology, economics and philosophy, to computer science and statistical physics-- but we still do not have a firm grasp on why some beliefs change and spread easier than others. To fully capture the complex social-cognitive system that give rise to belief dynamics, we need to integrate the findings of these disciplines into a single framework. Communication between…
A Network Perspective on Attitude Strength
Attitude strength is a key characteristic of attitudes. Strong attitudes are durable and impactful, while weak attitudes are fluctuating and inconsequential. Recently, the causal attitude network (CAN) model was proposed as a comprehensive measurement model of attitudes, which conceptualizes attitudes as networks of causally connected evaluative reactions (i.e., beliefs, feelings, and behavior toward an attitude object). Here, we test the central…
Investigating stereotype structure with empirical network models
In this work we present empirical network models as a new approach in the investigation of stereotype structure. We will argue that empirical network models can provide more insight into stereotype structure because they do not suffer from the inherent constraints of factor analysis and multidimensional scaling (e.g., group features interpreted homogeneously only on the basis of their shared variance, impossibility to adequately represent cogniti…
The Attitudinal Entropy (AE) Framework
Network Analysis on Attitudes
In this article, we provide a brief tutorial on the estimation, analysis, and simulation on attitude networks using the programming language R. We first discuss what a network is and subsequently show how one can estimate a regularized network on typical attitude data. For this, we use open-access data on the attitudes toward Barack Obama during the 2012 American presidential election. Second, we show how one can calculate standard network measur…
Toward a formalized account of attitudes
This article introduces the Causal Attitude Network (CAN) model, which conceptualizes attitudes as networks consisting of evaluative reactions and interactions between these reactions. Relevant evaluative reactions include beliefs, feelings, and behaviors toward the attitude object. Interactions between these reactions arise through direct causal influences (e.g., the belief that snakes are dangerous causes fear of snakes) and mechanisms that sup…
The apple does not fall far from the tree, or does it? A meta-analysis of parent-child similarity in intergroup attitudes
The apple does not fall far from the tree, or does it? A meta-analysis of parent-child similarity in intergroup attitudes
Investigating stereotype structure with empirical network models
In this work we present empirical network models as a new approach in the investigation of stereotype structure. We will argue that empirical network models can provide more insight into stereotype structure because they do not suffer from the inherent constraints of factor analysis and multidimensional scaling (e.g., group features interpreted homogeneously only on the basis of their shared variance, impossibility to adequately represent cogniti…
The apple does not fall far from the tree, or does it? A meta-analysis of parent-child similarity in intergroup attitudes
Toward a formalized account of attitudes
This article introduces the Causal Attitude Network (CAN) model, which conceptualizes attitudes as networks consisting of evaluative reactions and interactions between these reactions. Relevant evaluative reactions include beliefs, feelings, and behaviors toward the attitude object. Interactions between these reactions arise through direct causal influences (e.g., the belief that snakes are dangerous causes fear of snakes) and mechanisms that sup…
Network Analysis on Attitudes
In this article, we provide a brief tutorial on the estimation, analysis, and simulation on attitude networks using the programming language R. We first discuss what a network is and subsequently show how one can estimate a regularized network on typical attitude data. For this, we use open-access data on the attitudes toward Barack Obama during the 2012 American presidential election. Second, we show how one can calculate standard network measur…
The Attitudinal Entropy (AE) Framework
A Network Perspective on Attitude Strength
Attitude strength is a key characteristic of attitudes. Strong attitudes are durable and impactful, while weak attitudes are fluctuating and inconsequential. Recently, the causal attitude network (CAN) model was proposed as a comprehensive measurement model of attitudes, which conceptualizes attitudes as networks of causally connected evaluative reactions (i.e., beliefs, feelings, and behavior toward an attitude object). Here, we test the central…
Investigating stereotype structure with empirical network models
In this work we present empirical network models as a new approach in the investigation of stereotype structure. We will argue that empirical network models can provide more insight into stereotype structure because they do not suffer from the inherent constraints of factor analysis and multidimensional scaling (e.g., group features interpreted homogeneously only on the basis of their shared variance, impossibility to adequately represent cogniti…
Toward an Integrative Psychometric Model of Emotions
Emotions are part and parcel of the human condition, but their nature is debated. Three broad classes of theories about the nature of emotions can be distinguished: affect-program theories, constructionist theories, and appraisal theories. Integrating these broad classes of theories into a unifying theory is challenging. An integrative psychometric model of emotions can inform such a theory because psychometric models are intertwined with theoret…
Relating teenagers’ science interest network characteristics to later science course enrolment
Recently, students’ interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International Student Assessment (PISA) 2006 and Longitudinal Surveys of Australian Youth 2008 data (N = 4758) to inves…
Integrating social and cognitive aspects of belief dynamics
Belief change and spread have been studied in many disciplines-- from psychology, sociology, economics and philosophy, to computer science and statistical physics-- but we still do not have a firm grasp on why some beliefs change and spread easier than others. To fully capture the complex social-cognitive system that give rise to belief dynamics, we need to integrate the findings of these disciplines into a single framework. Communication between…
Network analysis of multivariate data in psychological science
In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. In these approaches, network nodes represent variables in a data set, and edges represent pairwise conditional associations between variables in the data, while conditioning on the remaining variables. This Primer provides an anatomy of these techniques, describes the current state of the art and discu…
Theory Construction Methodology
This article aims to improve theory formation in psychology by developing a practical methodology for constructing explanatory theories: theory construction methodology (TCM). TCM is a sequence of five steps. First, the theorist identifies a domain of empirical phenomena that becomes the target of explanation. Second, the theorist constructs a prototheory , a set of theoretical principles that putatively explain these phenomena. Third, the protot…
Cognitive-Affective Inconsistency and Ambivalence
This research explored whether overall attitude is a stronger predictor of behavior when underlying cognitive-affective inconsistency or ambivalence is low versus high. Across three prospective studies in different behaviors and populations (Study 1: eating a low-fat diet, N = 136 adults, eating five fruit and vegetables per day, N = 135 adults; Study 2: smoking initiation, N = 4,933 adolescents; and Study 3: physical activity, N = 909 adults) we…
Investigating the Utility of Fixed-margin Sampling in Network Psychometrics
Steinley, Hoffman, Brusco, and Sher (2017) proposed a new method for evaluating the performance of psychological network models: fixed-margin sampling. The authors investigated LASSO regularized Ising models (eLasso) by generating random datasets with the same margins as the original binary dataset, and concluded that many estimated eLasso parameters are not distinguishable from those that would be expected if the data were generated by chance. W…
A Psychological Network Approach to Attitudes and Preventive Behaviors During Pandemics
Preventive behaviors are crucial to prevent the spread of the coronavirus causing COVID-19. We adopted a complex psychological systems approach to obtain a descriptive account of the network of attitudes and behaviors related to COVID-19. A survey study ( N = 1,022) was conducted with subsamples from the United Kingdom ( n = 502) and the Netherlands ( n = 520). The results highlight the importance of people’s support for, and perceived efficacy o…
Networks of Beliefs
We present a theory of belief dynamics that explains the interplay between internal beliefs in people’s minds and beliefs of others in their external social environments. The Networks of Belief theory goes beyond existing theories of belief dynamics in three ways. First, it provides an explicit connection between belief networks in individual minds and belief dynamics on social networks. The connection, absent from most previous theories, is esta…
Psychology (12 works) · Computer Science (10 works) · Mental Health Research Topics (10 works) · Social Psychology (9 works) · Opinion Dynamics and Social Influence (7 works) · Complex Network Analysis Techniques (6 works) · Epistemology (6 works) · Cognitive psychology (5 works) · Mathematics (4 works) · Artificial Intelligence (3 works)