{"id":10503,"date":"2026-06-26T16:09:12","date_gmt":"2026-06-26T14:09:12","guid":{"rendered":"https:\/\/advances.in\/psychology\/?page_id=10503"},"modified":"2026-06-26T16:22:06","modified_gmt":"2026-06-26T14:22:06","slug":"network-psychometrics","status":"publish","type":"page","link":"https:\/\/advances.in\/psychology\/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    <style>\r\n    .apg-wrap{ margin:2rem 0; font-family:'Inter Static One', system-ui, -apple-system, \"Segoe UI\", Roboto, sans-serif; }\r\n    .apg-wrap .apg-heading{ font-size:1.35rem; font-weight:700; margin:0 0 1rem; color:#1a1a1a; text-align:left; }\r\n    [data-scheme=\"dark\"] .apg-wrap .apg-heading{ color:rgba(255,255,255,.92); }\r\n\r\n    \/* Block-Magazine mosaic: a 4-col CSS grid with a fixed row unit. 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font-size:.66rem; font-weight:700; letter-spacing:.04em; line-height:1;\r\n        background:rgba(255,255,255,.88); -webkit-backdrop-filter:blur(6px); backdrop-filter:blur(6px);\r\n        color:#0a66c2; pointer-events:none;\r\n    }\r\n    .apg-card--trending .apg-badge{ color:#1A73E8; } \/* dot uses currentColor *\/\r\n    .apg-card--cited    .apg-badge{ color:#0a66c2; }\r\n    .apg-card--read     .apg-badge{ color:#0050B3; }\r\n\r\n    \/* Dark gradient scrim \u2014 text stays legible over any image (light & dark mode alike) *\/\r\n    .apg-scrim{\r\n        position:absolute; left:0; right:0; bottom:0; z-index:2; padding:12px 14px; pointer-events:none;\r\n        background:linear-gradient(to top, rgba(0,0,0,.82) 0%, rgba(0,0,0,.45) 55%, rgba(0,0,0,0) 100%);\r\n    }\r\n    .apg-cat{ display:inline-block; font-size:.68rem; font-weight:700; text-transform:uppercase; letter-spacing:.05em;\r\n        color:#0073AA; margin:0 0 6px 0; padding:3px 4px; line-height:1;\r\n        background:rgba(255,255,255,.85); -webkit-backdrop-filter:blur(6px); backdrop-filter:blur(6px); text-align:left; }\r\n    [data-scheme=\"dark\"] .apg-cat{ color:#4DB8FF; background:rgba(0,0,0,.55); }\r\n    .apg-title{ margin:0; font-size:.98rem; font-weight:700; line-height:1.28; color:#fff; text-align:left;\r\n        text-shadow:0 1px 3px rgba(0,0,0,.45); display:-webkit-box; -webkit-line-clamp:3; -webkit-box-orient:vertical; overflow:hidden; }\r\n    .apg-t-big .apg-title, .apg-t-wide .apg-title{ font-size:clamp(1.15rem,1.6vw,1.5rem); -webkit-line-clamp:2; }\r\n    .apg-t-tall .apg-title{ font-size:1.1rem; }\r\n    \/* Tag grid on mobile: collapse every tile's title to one uniform size \u2014 the\r\n       smallest of the desktop sizes (.98rem) \u2014 so more of each title shows. *\/\r\n    @media(max-width:560px){\r\n        .apg-wrap--tag .apg-title,\r\n        .apg-wrap--tag .apg-t-big .apg-title,\r\n        .apg-wrap--tag .apg-t-wide .apg-title,\r\n        .apg-wrap--tag .apg-t-tall .apg-title{ font-size:.98rem; }\r\n    }\r\n    .apg-excerpt{ margin:6px 0 0; font-size:.82rem; line-height:1.4; color:rgba(255,255,255,.82); text-align:left;\r\n        display:-webkit-box; -webkit-line-clamp:2; -webkit-box-orient:vertical; overflow:hidden; }\r\n    .apg-cited{ display:inline-block; margin-top:8px; position:relative; z-index:3; pointer-events:auto;\r\n        font-size:.74rem; font-weight:600; color:#9ad0ff; text-decoration:none; }\r\n    .apg-cited:hover{ text-decoration:underline; }\r\n\r\n    \/* ---- Scroll-driven reveal (progressive enhancement, no JS) ---- *\/\r\n    @supports (animation-timeline: view){\r\n        @media (prefers-reduced-motion: no-preference){\r\n            .apg-card{ animation:apg-rise linear both; animation-timeline:view(); animation-range:entry 0% cover 22%; }\r\n            @keyframes apg-rise{ from{ opacity:0; transform:translateY(24px); } to{ opacity:1; transform:none; } }\r\n        }\r\n    }\r\n    <\/style>\r\n        <div class=\"apg-wrap apg-wrap--tag\">\r\n                <div class=\"apg-grid\">\r\n                <article class=\"apg-card apg-card--cited apg-t-big\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00037\/\" class=\"apg-overlay\" aria-label=\"Cross-lagged panel networks\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 33<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cross_lagged_network_aip00037_2-1024x683.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Cross-lagged panel networks<\/h3>\r\n                            <p class=\"apg-excerpt\">By Anna Wysocki, Ian McCarthy, Riet van Bork, Ang\u00e9lique O. J. Cramer, & Mijke Rhemtulla<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-tall\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00014\/\" class=\"apg-overlay\" aria-label=\"Changing networks: Moderated idiographic psychological networks\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 14<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cover_aip00014-1024x574.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Changing networks: Moderated idiographic psychological networks<\/h3>\r\n                            <p class=\"apg-excerpt\">By Laura F. Bringmann, Sigert Ariens, Anja F. Ernst, Evelien Snippe, & Eva Ceulemans<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-small\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00010\/\" class=\"apg-overlay\" aria-label=\"Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 11<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_network_analyses_easybgm-768x430.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package<\/h3>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-small\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00013\/\" class=\"apg-overlay\" aria-label=\"Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 8<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/ising_model-768x430.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model<\/h3>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-wide\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00012\/\" class=\"apg-overlay\" aria-label=\"Discovering cyclic causal models in psychological research\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 5<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/cyclic_causal_models_psychology.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Discovering cyclic causal models in psychological research<\/h3>\r\n                            <p class=\"apg-excerpt\">By Kyuri Park, Lourens J. Waldorp, & Ois\u00edn Ryan<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-tall\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00024\/\" class=\"apg-overlay\" aria-label=\"Relating network-instantiated constructs to psychological variables through network-derived metrics: An exploratory study\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 4<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/infering_psychological_constructs_network_psychometrics-1024x574.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Relating network-instantiated constructs to psychological variables through network-derived metrics: An exploratory study<\/h3>\r\n                            <p class=\"apg-excerpt\">By Simran K. Johal & Mijke Rhemtulla<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-big\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00016\/\" class=\"apg-overlay\" aria-label=\"Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 3<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/bayesian_sensitivity_power_analyses_networks-1024x574.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing<\/h3>\r\n                            <p class=\"apg-excerpt\">By Nikola Sekulovski, Sara Keetelaar, Jonas Haslbeck, & Maarten Marsman<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-small\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00011\/\" class=\"apg-overlay\" aria-label=\"The effects of omitted variables and measurement error on cross-sectional network psychometric models\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 3<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/measurement_error_psychometric_networks-768x430.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">The effects of omitted variables and measurement error on cross-sectional network psychometric models<\/h3>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-small\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00020\/\" class=\"apg-overlay\" aria-label=\"Observed correlations between person-means depend on within-person correlations\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 2<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/separating_within_between_person_effects_correlations-768x430.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Observed correlations between person-means depend on within-person correlations<\/h3>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-tall\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00021\/\" class=\"apg-overlay\" aria-label=\"Dynamic exploratory graph analysis of emotions in politics\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 2<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/political_speech_network_emotions-1024x574.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Dynamic exploratory graph analysis of emotions in politics<\/h3>\r\n                            <p class=\"apg-excerpt\">By Aleksandar Toma\u0161evi\u0107 & Sara Major<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-wide\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00008\/\" class=\"apg-overlay\" aria-label=\"Introducing semantic loadings in factor analysis: Bridging network psychometrics and cognitive networks for understanding depression, anxiety and stress\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 2<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/depression_network_analysis-1024x574.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">Introducing semantic loadings in factor analysis: Bridging network psychometrics and cognitive networks for understanding depression, anxiety and stress<\/h3>\r\n                            <p class=\"apg-excerpt\">By Filippo Stanghellini, Enrico Perinelli, Luigi Lombardi, & Massimo Stella<\/p>\r\n                                <\/div>\r\n    <\/article>\r\n        <article class=\"apg-card apg-card--cited apg-t-small\">\r\n        <a href=\"https:\/\/advances.in\/psychology\/10.56296\/aip00022\/\" class=\"apg-overlay\" aria-label=\"A generalized approach for Bayesian Gaussian graphical models\"><\/a>\r\n                    <span class=\"apg-badge\">\u25cf\u00a0Cited by 1<\/span>\r\n                <div class=\"apg-media\">\r\n                            <img decoding=\"async\" src=\"https:\/\/advances.in\/psychology\/wp-content\/uploads\/generalized_approach_Bayesian_Gaussian_graphical_models-768x430.webp\" alt=\"\" loading=\"lazy\">\r\n                    <\/div>\r\n        <div class=\"apg-scrim\">\r\n                            <span class=\"apg-cat\">Methods<\/span>\r\n                        <h3 class=\"apg-title\">A generalized approach for Bayesian Gaussian graphical models<\/h3>\r\n                                <\/div>\r\n    <\/article>\r\n            <\/div>\r\n    <\/div>\r\n    \n\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":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"csco_singular_sidebar":"disabled","csco_page_header_type":"title","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":""},"class_list":["post-10503","page","type-page","status-publish","cs-entry","cs-video-wrap"],"acf":[],"_links":{"self":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/pages\/10503","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/types\/page"}],"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=10503"}],"version-history":[{"count":7,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/pages\/10503\/revisions"}],"predecessor-version":[{"id":10519,"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/pages\/10503\/revisions\/10519"}],"wp:attachment":[{"href":"https:\/\/advances.in\/psychology\/wp-json\/wp\/v2\/media?parent=10503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}