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psychometric network analysi

In a 10-day daily-diary survey, we utilize the cutting-edge technique of directed-graph psychometric network analysis to test our hypotheses.

The balancing act of performance: Psychometric networks and the causal interplay of organizational citizenship and counterproductive work behaviors

psychometric network analysi

Objective Psychometric network analysis has led to new possibilities to assess the structure and dynamics of psychiatric disorders.

The psychometric network structure of mental health in eating disorder patients

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psychometric network modeling

(2017) and compared two modeling approaches: LVM (Study 1) and psychometric network modeling (Study 2).

Psychometric models of individual differences in reading comprehension: A reanalysis of Freed, Hamilton, and Long (2017)

psychometric network modeling

Psychometric network modeling is an alternative methodology that can address both direct and indirect relationships among the observed variables.

Age and Sex Invariance of the Woodcock-Johnson IV Tests of Cognitive Abilities: Evidence from Psychometric Network Modeling

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psychometric network model

Applying undirected psychometric network models, we found that 1) ritualist cognitions showed a smallworld network structure with highly interconnected nodes, 2) five robust clusters of cognitions that 3) can be organized along two major dimensions (positive vs negative valence, uncertainty beliefs vs uncertainty management) and 4) associations between clusters through linking nodes allow integration of previous theories of ritual and help to identify core cognition during ritual.

Mapping the Minds of Spectators During Extreme Ritual: A Psychological Network Perspective

psychometric network model

This current issue contains nine articles and three commentaries on new methodology, critiques, and the evaluation of current techniques surrounding psychometric network models.

Recent Advances in (Graphical) Network Models

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10.21203/rs.3.rs-787972/v1

Applying undirected psychometric network models, we found that 1) ritualist cognitions showed a smallworld network structure with highly interconnected nodes, 2) five robust clusters of cognitions that 3) can be organized along two major dimensions (positive vs negative valence, uncertainty beliefs vs uncertainty management) and 4) associations between clusters through linking nodes allow integration of previous theories of ritual and help to identify core cognition during ritual.

Mapping the Minds of Spectators During Extreme Ritual: A Psychological Network Perspective

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10.3390/psych3030032

Exploratory Graph Analysis (EGA) has emerged as a popular approach for estimating the dimensionality of multivariate data using psychometric networks.

Estimating the Stability of Psychological Dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo Simulation and Tutorial

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10.1016/j.jvb.2020.103527

In a 10-day daily-diary survey, we utilize the cutting-edge technique of directed-graph psychometric network analysis to test our hypotheses.

The balancing act of performance: Psychometric networks and the causal interplay of organizational citizenship and counterproductive work behaviors

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10.1002/erv.2832

Objective Psychometric network analysis has led to new possibilities to assess the structure and dynamics of psychiatric disorders.

The psychometric network structure of mental health in eating disorder patients

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10.1016/J.JML.2021.104221

(2017) and compared two modeling approaches: LVM (Study 1) and psychometric network modeling (Study 2).

Psychometric models of individual differences in reading comprehension: A reanalysis of Freed, Hamilton, and Long (2017)

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10.3390/jintelligence9030035

Psychometric network modeling is an alternative methodology that can address both direct and indirect relationships among the observed variables.

Age and Sex Invariance of the Woodcock-Johnson IV Tests of Cognitive Abilities: Evidence from Psychometric Network Modeling

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10.2139/ssrn.3908611

Cutting-edge machine learning algorithms (Greedy Fast Causal Inference) and psychometric network analysis were used to elucidate causal pathways to (and from) vaccine intentions.

Willingness to Vaccinate Against SARS-CoV-2: The Role of Reasoning Biases and Conspiracist Ideation

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10.1007/s10339-021-01043-4

Conducting Psychometric Network Analysis (PNA) and Principal Components Analysis (PCA) on responses to curated images, we identified three components: coherence (ease of organizing and comprehending a scene), fascination (informational richness and generated interest), and hominess (personal ease and comfort).

The neuroaesthetics of architectural spaces.

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10.1089/neu.2021.0200

Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is thus well-suited to explore their interrelatedness.

Network Analysis of Neurobehavioral and Posttraumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study.

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10.3390/jintelligence9010008

In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence.

Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis

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10.1007/S12671-021-01704-7

Psychometric networks were applied to explore relations between items and item clusters.

A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)

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10.1080/00273171.2021.1895706

(in press) on our prior work, of using fixed marginals for sampling the data for testing hypothesis in psychometric network application.

On Fixed Marginal Distributions and Psychometric Network Models

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10.1200/JCO.2021.39.15_SUPPL.E24128

An innovative approach – psychometric network analysis (PNA; Epskamp, 2017) – was used to assess the network among needs ( nodes).

A network analysis approach to the needs of oncological patients.

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10.31234/OSF.IO/A8SVR

Centrality measures in psychometric networks have come under scrutiny recently with several researchers arguing for more explicit interpretations of what they purport to measure.

What is bridge centrality? A comment on Jones, Ma, and McNally (2019)

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10.1080/00273171.2021.1911777

This current issue contains nine articles and three commentaries on new methodology, critiques, and the evaluation of current techniques surrounding psychometric network models.

Recent Advances in (Graphical) Network Models

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Psychometric Network - Applying undirected psychometric network models, we found that 1) ritualist cognitions showed a smallworld network structure with highly interconnected nodes, 2) five robust clusters of cognitions that 3) can be organized along two major dimensions (positive vs negative valence, uncertainty beliefs vs uncertainty management) and 4) associations between clusters through linking nodes allow integration of previous theories of ritual and help to identify core cognition during ritual. [1] Exploratory Graph Analysis (EGA) has emerged as a popular approach for estimating the dimensionality of multivariate data using psychometric networks. [2] In a 10-day daily-diary survey, we utilize the cutting-edge technique of directed-graph psychometric network analysis to test our hypotheses. [3] Objective Psychometric network analysis has led to new possibilities to assess the structure and dynamics of psychiatric disorders. [4] (2017) and compared two modeling approaches: LVM (Study 1) and psychometric network modeling (Study 2). [5] Psychometric network modeling is an alternative methodology that can address both direct and indirect relationships among the observed variables. [6] Cutting-edge machine learning algorithms (Greedy Fast Causal Inference) and psychometric network analysis were used to elucidate causal pathways to (and from) vaccine intentions. [7] Conducting Psychometric Network Analysis (PNA) and Principal Components Analysis (PCA) on responses to curated images, we identified three components: coherence (ease of organizing and comprehending a scene), fascination (informational richness and generated interest), and hominess (personal ease and comfort). [8] Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is thus well-suited to explore their interrelatedness. [9] In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. [10] Psychometric networks were applied to explore relations between items and item clusters. [11] (in press) on our prior work, of using fixed marginals for sampling the data for testing hypothesis in psychometric network application. [12] An innovative approach – psychometric network analysis (PNA; Epskamp, 2017) – was used to assess the network among needs ( nodes). [13] Centrality measures in psychometric networks have come under scrutiny recently with several researchers arguing for more explicit interpretations of what they purport to measure. [14] This current issue contains nine articles and three commentaries on new methodology, critiques, and the evaluation of current techniques surrounding psychometric network models. [15]

psychometric network analysi

In a 10-day daily-diary survey, we utilize the cutting-edge technique of directed-graph psychometric network analysis to test our hypotheses. [1] Objective Psychometric network analysis has led to new possibilities to assess the structure and dynamics of psychiatric disorders. [2] Cutting-edge machine learning algorithms (Greedy Fast Causal Inference) and psychometric network analysis were used to elucidate causal pathways to (and from) vaccine intentions. [3] Conducting Psychometric Network Analysis (PNA) and Principal Components Analysis (PCA) on responses to curated images, we identified three components: coherence (ease of organizing and comprehending a scene), fascination (informational richness and generated interest), and hominess (personal ease and comfort). [4] Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is thus well-suited to explore their interrelatedness. [5] An innovative approach – psychometric network analysis (PNA; Epskamp, 2017) – was used to assess the network among needs ( nodes). [6]

psychometric network modeling

(2017) and compared two modeling approaches: LVM (Study 1) and psychometric network modeling (Study 2). [1] Psychometric network modeling is an alternative methodology that can address both direct and indirect relationships among the observed variables. [2] In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. [3]

psychometric network model

Applying undirected psychometric network models, we found that 1) ritualist cognitions showed a smallworld network structure with highly interconnected nodes, 2) five robust clusters of cognitions that 3) can be organized along two major dimensions (positive vs negative valence, uncertainty beliefs vs uncertainty management) and 4) associations between clusters through linking nodes allow integration of previous theories of ritual and help to identify core cognition during ritual. [1] This current issue contains nine articles and three commentaries on new methodology, critiques, and the evaluation of current techniques surrounding psychometric network models. [2]