{
  "abstract": "Longitudinal psychological research often centers on key developmental transitions, where patterns of change may differ across stages. Piecewise modeling is well suited to capturing these stage-specific changes. This tutorial introduces three piecewise methods in longitudinal psychological research: piecewise multilevel modeling (MLM), piecewise latent class growth modeling (LCGM), and latent transition analysis (LTA). Drawing on a six-wave longitudinal study of national identity development, we show how each method can be implemented in R and highlight the types of research questions each is designed to address, from estimating average developmental trajectories to identifying heterogeneous trajectory patterns and examining transitions between latent developmental states.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Psychology, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea"
  ],
  "article_type": "methods article",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Shuncheng He"
    },
    {
      "affs": [
        0
      ],
      "name": "Wooyeol Lee"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4rvfwft3m3t2g.bib",
  "cited_by": 0,
  "doi": "10.3389/fpsyg.2026.1949552",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13735896/",
  "id": "4rvfwft3m3t2g",
  "issns": [
    "1664-1078"
  ],
  "landing_url": "https://doi.org/10.3389/fpsyg.2026.1949552",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Methods"
    ],
    [
      "openalex",
      "2613|Statistical Methods and Bayesian Inference"
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  "openalex": "W7223169195",
  "pdf_url": "https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2026.1949552/pdf",
  "pmcid": "PMC13735896",
  "pmid": "42991409",
  "published": "2026-10-22",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/4rvfwft3m3t2g.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:21:28Z",
      "native_id": "PMC13735896",
      "source": "pmc",
      "url": "https://doi.org/10.3389/fpsyg.2026.1949552"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "openalex:2613|Statistical Methods and Bayesian Inference",
      "subfield": "statistics"
    }
  ],
  "title": "Piecewise modeling for longitudinal psychological research: a tutorial using R",
  "title_text": "Piecewise modeling for longitudinal psychological research: a tutorial using R",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:21:28Z",
  "url": "https://research.draconitic.com/paper/4rvfwft3m3t2g",
  "venue": "Frontiers in Psychology",
  "versions": []
}