{"id":3590,"date":"2023-02-13T16:44:10","date_gmt":"2023-02-13T15:44:10","guid":{"rendered":"https:\/\/advances.in\/psychology\/?p=3590"},"modified":"2025-12-08T20:46:21","modified_gmt":"2025-12-08T19:46:21","slug":"network-psychometrics","status":"publish","type":"post","link":"https:\/\/advances.in\/psychology\/10.56296\/network-psychometrics\/","title":{"rendered":"Special Issue on Network Psychometrics"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Please note that this special issue edited by Hudson Golino <a style=\"text-decoration: none;\" href=\"mailto:hfg9s@virginia.edu\" data-type=\"mailto\" data-id=\"mailto:hfg9s@virginia.edu\">\u2709\ufe0f<\/a> (editor-in-chief Jonas R. Kunst  <a style=\"text-decoration: none;\" href=\"mailto:j.r.kunst@psykologi.uio.no\" data-type=\"mailto\" data-id=\"mailto:j.r.kunst@psykologi.uio.no\">\u2709\ufe0f<\/a> oversees the editing by the SI editor) is currently in progress. Articles will be added to this collection as they are published. The original call for papers is available below.<\/p>\n\n\n\t<div class=\"cnvs-block-posts cnvs-block-posts-1713443115047 cnvs-block-posts-layout-horizontal-type-1\" data-layout=\"horizontal-type-1\" data-min-height=\"\">\n\t\t<div class=\"cs-posts-area\" data-posts-area=\"\">\n\t\t\t<div class=\"cs-posts-area__outer cs-posts-area__type-default\">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-posts-area__main cs-archive-horizontal-type-1 cs-block-posts-layout-horizontal-type-1 cs-display-column cs-posts-area__image-width-half\">\n\t\t\t\t\t\t\n<article class=\"post-6618 post type-post status-publish format-standard has-post-thumbnail category-methods tag-cross-lagged-networks tag-cross-lagged-panel-design tag-network-models tag-special-issue-on-network-psychometrics tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-768x512.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Cross lagged network models panel\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-768x512.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-300x200.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-1024x683.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-380x253.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-550x367.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-800x533.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-1160x773.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-760x507.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-1100x733.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-600x400.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2.webp 1344w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00037\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00037\/\">Cross-lagged panel networks<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Anna Wysocki, Ian McCarthy, Riet van Bork, Ang\u00e9lique O. J. Cramer,\n& Mijke Rhemtulla\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">June 18, 2025 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00037\/#aip-citing-papers\" class=\"aip-citation-count\">33<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-5914 post type-post status-publish format-standard has-post-thumbnail category-methods tag-longitudinal-data-analysis tag-multi-level-modeling tag-separating-within-and-between-person-effects tag-special-issue-on-network-psychometrics-2024 tag-vector-autoregressive-models cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Correlations between person-means depend on within-person correlations\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00020\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00020\/\">Observed correlations between person-means depend on within-person correlations<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Jonas Haslbeck & Sacha Epskamp\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">September 20, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00020\/#aip-citing-papers\" class=\"aip-citation-count\">2<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-5929 post type-post status-publish format-standard has-post-thumbnail category-methods tag-intensive-longitudinal-data tag-prediction tag-psychometric-networks tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"inferring psychological constructs network psychometrics\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00024\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00024\/\">Relating network-instantiated constructs to psychological variables through network-derived metrics: An exploratory study<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Simran K. Johal & Mijke Rhemtulla\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">September 4, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00024\/#aip-citing-papers\" class=\"aip-citation-count\">4<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-5898 post type-post status-publish format-standard has-post-thumbnail category-methods tag-affective-dynamics tag-computational-social-science tag-emotions tag-exploratory-graph-analysis tag-network-analysis tag-populism tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00021\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00021\/\">Dynamic exploratory graph analysis of emotions in politics<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Aleksandar Toma\u0161evi\u0107 & Sara Major\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">August 16, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00021\/#aip-citing-papers\" class=\"aip-citation-count\">2<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-5906 post type-post status-publish format-standard has-post-thumbnail category-methods tag-bayesian-analysis tag-probabilistic-graphical-modeling tag-psychometrics tag-regularization tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"A generalized approach for Bayesian Gaussian graphical models\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00022\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00022\/\">A generalized approach for Bayesian Gaussian graphical models<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Vithor Rosa Franco, Guilherme W. F. Barros, & Marcos Jim\u00e9nez\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">August 16, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00022\/#aip-citing-papers\" class=\"aip-citation-count\">1<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-5408 post type-post status-publish format-standard has-post-thumbnail category-methods tag-bayes-factor tag-bayesian-model-averaging tag-bayesian-variable-selection tag-markov-random-fields tag-network-psychometrics tag-prior-sensitivity tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00016\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00016\/\">Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Nikola Sekulovski, Sara Keetelaar, Jonas Haslbeck, & Maarten Marsman\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">May 30, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00016\/#aip-citing-papers\" class=\"aip-citation-count\">3<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4868 post type-post status-publish format-standard has-post-thumbnail category-methods tag-networks tag-personalized-models-moderation-analysis tag-special-issue-on-network-psychometrics-2024 tag-time-series tag-vector-autoregressive-model cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Conceptual digital illustration of a moderated idiographic psychological network, showcasing interconnected nodes labeled with psychological variables like &#039;Cheerful&#039; and &#039;Down&#039;. The nodes are connected by lines that dynamically change color or thickness, representing changing network structures under different context factors. This visual metaphor reflects the article&#039;s focus on how personalized models, time series, and vector autoregressive models analyze and depict psychological networks.\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00014\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00014\/\">Changing networks: Moderated idiographic psychological networks<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Laura F. Bringmann, Sigert Ariens, Anja F. Ernst, Evelien Snippe, & Eva Ceulemans\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">May 4, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00014\/#aip-citing-papers\" class=\"aip-citation-count\">14<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4544 post type-post status-publish format-standard has-post-thumbnail category-methods tag-centrality tag-measurement-error tag-network-psychometrics tag-omitted-variable-bias tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Omitted variables and measurement error in cross-sectional network psychometric models\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00011\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00011\/\">The effects of omitted variables and measurement error on cross-sectional network psychometric models<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Teague R. Henry & Ai Ye\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">April 23, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00011\/#aip-citing-papers\" class=\"aip-citation-count\">3<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4555 post type-post status-publish format-standard has-post-thumbnail category-methods tag-constraint-based tag-cyclic-causal-discovery tag-directed-cyclic-graph-dcg tag-partial-ancestral-graph-pag tag-special-issue-on-network-psychometrics-2024 tag-statistical-network-model cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"687\" height=\"385\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"cyclic causal models psychology\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology.webp 687w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology-600x336.webp 600w\" sizes=\"(max-width: 687px) 100vw, 687px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00012\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00012\/\">Discovering cyclic causal models in psychological research<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Kyuri Park, Lourens J. Waldorp, & Ois\u00edn Ryan\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">April 22, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00012\/#aip-citing-papers\" class=\"aip-citation-count\">5<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4563 post type-post status-publish format-standard has-post-thumbnail category-methods tag-disjoint-pseudolikelihood tag-ising-model tag-joint-pseudolikelihood tag-maximum-likelihood tag-network-psychometrics tag-parameter-estimation tag-pseudolikelihood tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Maximum likelihood and maximum pseudolikelihood estimators for the Ising model\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model.webp 905w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00013\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00013\/\">Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Sara Keetelaar, Nikola Sekulovski, Denny Borsboom, & Maarten Marsman\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">April 20, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00013\/#aip-citing-papers\" class=\"aip-citation-count\">8<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4224 post type-post status-publish format-standard has-post-thumbnail category-methods tag-cognitive-network-science tag-network-clustering tag-network-psychometrics tag-psychometric-measurements tag-semantic-framing tag-special-issue-on-network-psychometrics-2024 tag-text-analysis cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Depressive symptoms - network analysis\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00008\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00008\/\">Introducing semantic loadings in factor analysis: Bridging network psychometrics and cognitive networks for understanding depression, anxiety and stress<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Filippo Stanghellini, Enrico Perinelli, Luigi Lombardi, & Massimo Stella\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">March 13, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00008\/#aip-citing-papers\" class=\"aip-citation-count\">2<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4256 post type-post status-publish format-standard has-post-thumbnail category-methods tag-bayesian-inference tag-network-psychometrics tag-r tag-special-issue-on-network-psychometrics-2024 tag-tutorial cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"bayesian network analyses easybgm\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00010\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00010\/\">Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Karoline B. S. Huth, Sara Keetelaar, Nikola Sekulovski, Don van den Bergh, & Maarten Marsman \t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">March 11, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00010\/#aip-citing-papers\" class=\"aip-citation-count\">11<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\n<article class=\"post-4243 post type-post status-publish format-standard has-post-thumbnail category-methods tag-boolean-network tag-dynamical-system-method tag-group-process tag-network-control tag-social-influence tag-special-issue-on-network-psychometrics-2024 cs-entry cs-video-wrap\">\n\t<div class=\"cs-entry__outer\">\n\t\t\n\t\t\t\t\t<div class=\"cs-entry__inner cs-entry__thumbnail cs-entry__overlay cs-overlay-ratio cs-ratio-original\">\n\t\t\n\t\t\t\t\t\t\t<div class=\"cs-overlay-background cs-overlay-transparent\">\n\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"430\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-768x430.webp\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"Group Change Boolean network method\" srcset=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-768x430.webp 768w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-300x168.webp 300w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-1024x574.webp 1024w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-380x213.webp 380w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-550x308.webp 550w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-800x448.webp 800w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-1160x650.webp 1160w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-760x426.webp 760w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-1100x616.webp 1100w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups-600x336.webp 600w, https:\/\/advances.in\/psychology\/wp-content\/uploads\/modeling_change_in_groups.webp 1456w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00009\/\" class=\"cs-overlay-link\"><\/a>\n\t\t<\/div>\n\t\t\n\t\t<div class=\"cs-entry__inner cs-entry__content\">\n\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-category\"><ul class=\"post-categories\">\n\t<li><a href=\"https:\/\/advances.in\/psychology\/10.56296\/category\/methods\/\" rel=\"category tag\">Methods<\/a><\/li><\/ul><\/div><\/div>\n\t\t\t\t<h2 class=\"cs-entry__title \">\n\t\t\t\t\t<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00009\/\">Modeling and managing behavior change in groups: A Boolean network method<\/a>\n\t\t\t<\/h2>\n\t\n\t\t\t\t\t\t<div class=\"cs-entry__excerpt\">\n\t\t\t\tBy Xiao Yang, R\u00e9ka Albert, Lauren Elreda Molloy, & Nilam Ram \t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"cs-entry__details \">\n\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-data\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"cs-entry__details-meta\">\n\t\t\t\t\t\t\t<div class=\"cs-entry__post-meta\" ><div class=\"cs-meta-date\">March 8, 2024 (Cited\u00a0by:\u00a0<a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00009\/#aip-citing-papers\" class=\"aip-citation-count\">1<\/a>)<\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/article>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\t<\/div>\n\t\n\n\n<h2 class=\"wp-block-heading\">Call for Papers (finished)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/advances.in\/psychology\"><em>advances.in\/psychology<\/em><\/a>, a groundbreaking journal <a href=\"https:\/\/www.chronicle.com\/article\/is-it-time-to-pay-peer-reviewers\" target=\"_blank\" rel=\"noreferrer noopener\">redefining academic publishing<\/a>, invites submissions for a Special Issue on <strong>Network Psychometrics<\/strong>. This Special Issue will showcase cutting-edge methods, groundbreaking conceptual issues, and innovative applications of Network Psychometrics, as well as new R packages. Our objective is to publish research that will propel the field forward and provide valuable insights for scholars and practitioners.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Network Psychometrics is a rapidly growing area of psychometrics that explores the application of network methods to address both technical and conceptual challenges in psychology and related fields. This interdisciplinary field draws on psychometrics, network science, statistical mechanics, computer science, and many other disciplines. Network Psychometrics gained significant momentum after the publication of the Mutualism Model of Intelligence by Van der Maas et al. in 2006 and scholarly and popular attention further increased with the release of free and open-source R packages in 2012 (such as the qgraph package by Epskamp et al., 2012).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In recent years, the growth of Network Psychometrics has been driven by the increasing availability of open-source software and the development of new methods, techniques, and metrics for cross-sectional and intensive longitudinal data. Network Psychometrics has been applied in a diverse range of domains, including dimensionality assessment, personality, intelligence, psychopathology, education, disinformation research, attitudes, text analysis, and many others.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In terms of its impact, Network Psychometrics is an increasingly important area within psychometrics, with the potential to inform and enhance our understanding of various psychological and social phenomena. Its methods and techniques can be used to better address complex problems in a broad range of fields. As a result, Network Psychometrics is considered one of the fastest-growing and significant areas of psychometrics, attracting growing interest from researchers and practitioners globally. The broad scholarly attention it has attracted, the range of relevant applications, and the rapidly expanding accessibility of analytic tools supporting work make this Special Issue particularly timely and important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At <a href=\"https:\/\/advances.in\/psychology\"><em>advances.in\/psychology<\/em><\/a>, we believe it is time to revolutionize academic publishing. We are accomplishing this by using novel processes and compensating our reviewers fairly, ensuring an inclusive, equitable and high- quality review process. Our review will be fast, fair, and prioritize innovation, open science, and out-of-the-box thinking.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Furthermore, we will utilize innovative AI methods to aid in the peer-review process, making it more efficient and accurate while ensuring that high-quality papers receive the recognition they deserve.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Invited Topics<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Submissions may present new analytical tools (i.e., new R packages), represent a specific application of Network Psychometrics that advances scholarly understanding or practical uses of the approach, or conceptual and commentary pieces about the state of the area and guidance for future directions.\u00a0 Specific topics may include:<\/p>\n\n\n\n<ol style=\"list-style-type:1\" class=\"wp-block-list\">\n<li>Innovative new methods in Network Psychometrics<\/li>\n\n\n\n<li>Important conceptual issues in Network Psychometrics<\/li>\n\n\n\n<li>New R Packages for Network Psychometrics<\/li>\n\n\n\n<li>Interesting applications of Network Psychometrics<\/li>\n\n\n\n<li>Network Psychometrics and non-standard data types (e.g., text data)<\/li>\n\n\n\n<li>Issues and Future Directions for Network Psychometrics<\/li>\n\n\n\n<li>Tutorial Papers on Network Psychometrics using new or existing R packages<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">We welcome original research articles, reviews, and perspectives that explore these and other topics related to Network Psychometrics. All submissions will undergo a rigorous and fair peer-review process.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is important to note that papers published in this special issue will not be charged any article processing fee.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Authors interested in submitting their work should first send the title, author list, and an abstract of up to 200 words via <a href=\"https:\/\/advances.in\/psychology\/10.56296\/network-psychometrics\/\">https:\/\/advances.in\/psychology\/10.56296\/network-psychometrics\/<\/a>. The deadline for the abstract submission is April 30, 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We are pleased to announce that selected works will be invited to submit a full paper for publication in <a href=\"https:\/\/advances.in\/psychology\"><em>advances.in\/psychology<\/em><\/a>, before the deadline of September 30, 2023. Accepted papers will be published online on a rolling basis.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Submission Instructions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Please take note of the following instructions for the full manuscript submission:<\/p>\n\n\n\n<ol style=\"list-style-type:1\" class=\"wp-block-list\">\n<li>The manuscript should be written using RMarkdown and\/or LaTeX, following the APA 7 article format. We highly recommend using the papaja package for R (https:\/\/github.com\/crsh\/papaja) as it provides an easy-to-use RMarkdown template and enables seamless integration of text and R-code\/analysis.<\/li>\n\n\n\n<li>The RMarkdown\/LaTeX document, as well as all codes and data (if applicable), should be stored in an Open Science Framework Repository. Proper citation of all utilized packages and their versions must be included in the paper.<\/li>\n\n\n\n<li>Only a PDF version of the manuscript will be submitted to the journal system, but it should contain a link to the Open Science Framework repository where the RMarkdown\/LaTeX files, R Code, and Data are stored.<\/li>\n\n\n\n<li>The writing style should be informative and avoid technical jargon or unnecessary complexities. The use of figures and plots to explain statistical\/mathematical concepts is encouraged (see one example of using figures to explain complex statistical concepts here: <a href=\"https:\/\/d2r55xnwy6nx47.cloudfront.net\/uploads\/2018\/11\/AlgorithmicComplexity_5601.jpg\" target=\"_blank\" rel=\"noopener\">https:\/\/d2r55xnwy6nx47.cloudfront.net\/uploads\/2018\/11\/AlgorithmicComplexity_5601.jpg<\/a>). The target audience includes applied researchers from various fields, so the paper should be written in a pedagogical manner that includes and does not alienate readers.<\/li>\n\n\n\n<li>If the paper introduces a new method\/technique\/metric, an applied section demonstrating the method using real-world data is highly encouraged. This will increase the impact and appeal of the work for applied researchers.<\/li>\n\n\n\n<li>There is not word limit for work submitted to the special issue, but authors are encouraged to be concise in their writing.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">To submit your abstract, please fill out the form below.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We look forward to your submissions and collaborating with you to publish groundbreaking research in the field of Network Psychometrics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Best regards,<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hudson Golino, Ph.D., Editor of the Special Issue on Network Psychometrics<br>Associate Professor of Quantitative Methods<br>Department of Psychology, University of Virginia<\/p>\n","protected":false},"excerpt":{"rendered":"Please note that this special issue edited by Hudson Golino \u2709\ufe0f (editor-in-chief Jonas R. Kunst \u2709\ufe0f oversees the&hellip;\n","protected":false},"author":1,"featured_media":3594,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_title":"Special Issue on Network Psychometrics","rank_math_description":"We are currently accepting submissions for a special issue on network psychometrics.","rank_math_permalink":"","rank_math_robots":[["noindex"]],"csco_page_header_type":"","csco_singular_sidebar":"","csco_appearance_grid":"","csco_page_load_nextpost":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0,"footnotes":""},"categories":[122],"tags":[],"class_list":["post-3590","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ongoing-special-issue","cs-entry","cs-video-wrap"],"acf":[],"_links":{"self":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/posts\/3590","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/comments?post=3590"}],"version-history":[{"count":0,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/posts\/3590\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/media\/3594"}],"wp:attachment":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/media?parent=3590"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/categories?post=3590"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/tags?post=3590"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}