The Large-Scale Data Lab supports research through advanced quantitative methods, educational measurement, psychometrics, and computational approaches to complex data<\/strong>. Our work spans education, psychology, health, and related interdisciplinary fields, with particular strengths in large-scale assessment and survey data, measurement, longitudinal data, and modern statistical and machine-learning methods. The lab also provides secure computing infrastructure and access to specialized resources for working with confidential and restricted-use datasets.<\/p>\n We support research using large-scale assessments and surveys, including NAEP and other national and international assessment programs<\/strong>. Our expertise includes complex sample designs, sampling weights, variance estimation, plausible values, multilevel structures, missing data, and the analysis and interpretation of large-scale assessment and survey data.\u00a0Examples include:<\/strong><\/p>\n We provide expertise in advanced quantitative methods for analyzing complex, longitudinal, and high-dimensional data. Methods include multilevel modeling, longitudinal analysis, missing-data methods, machine learning, and other modern statistical approaches<\/strong>.\u00a0Our work emphasizes selecting and implementing methods that reflect the data structure and the substantive research questions.<\/p>\n We integrate machine learning and data-science methods with traditional statistical and psychometric approaches<\/strong> to address increasingly complex research problems.\u00a0Applications include prediction, feature selection, classification, nonlinear relationships, model comparison, and the identification of heterogeneous patterns in high-dimensional data. When appropriate, these approaches are combined with theory-driven and measurement-based methods to balance predictive performance, interpretability, and substantive meaning.<\/p>\n We conduct research in educational and psychological measurement<\/strong>, including classical test theory, item response theory (IRT), differential item functioning, scale development, and the analysis of polytomous and rating-scale data.\u00a0We also investigate methodological issues related to missing responses, sample size, response categories, model performance, and measurement validity<\/strong>.<\/p>\n The lab supports the development and evaluation of measures and assessment instruments, from construct definition and item development through psychometric evaluation and validation<\/strong>.\u00a0Our work includes scale development, reliability and validity evidence, item-level analysis, and the evaluation of measurement properties across populations and contexts.<\/p>\n The lab contributes quantitative and methodological expertise to program evaluation and interdisciplinary applied research<\/strong>. This work includes evaluation design, statistical analysis, interpreting findings, and communicating results to researchers, practitioners, and other stakeholders. Our collaborations have included projects in education, health, aging, clinical research, and community-based programs.<\/p>\n The lab develops and contributes to R-based statistical software<\/strong> that makes quantitative and psychometric methods accessible to researchers and practitioners.\u00a0 Examples include tools for diagnostic accuracy, differential item functioning, subscore computation, and missing-response imputation.<\/p>\n Beyond individual projects, the LSD Lab provides a collaborative environment for faculty and student research, interdisciplinary collaboration, and methodological training<\/strong>.<\/p>\n Students and researchers have opportunities to work with real-world complex datasets, apply advanced quantitative methods, develop reproducible analytical workflows, and communicate quantitative findings to interdisciplinary audiences.<\/p>\n The Large-Scale Data Lab supports research through advanced quantitative methods, educational measurement, psychometrics, and computational approaches to complex data<\/strong>. Our work spans education, psychology, health, and related interdisciplinary fields, with particular strengths in large-scale assessment and survey data, measurement, longitudinal data, and modern statistical and machine-learning methods. The lab also provides secure computing infrastructure and access to specialized resources for working with confidential and restricted-use datasets.<\/p>\n We support research using large-scale assessments and surveys, including NAEP and other national and international assessment programs<\/strong>. Our expertise includes complex sample designs, sampling weights, variance estimation, plausible values, multilevel structures, missing data, … » More …<\/span><\/a><\/p>\n","protected":false},"author":4782,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-builder.php","meta":{"_wsuwp_accessibility_report":[]},"wsuwp_university_location":[],"wsuwp_university_org":[],"_links":{"self":[{"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/pages\/145"}],"collection":[{"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/users\/4782"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/comments?post=145"}],"version-history":[{"count":11,"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/pages\/145\/revisions"}],"predecessor-version":[{"id":527,"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/pages\/145\/revisions\/527"}],"wp:attachment":[{"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/media?parent=145"}],"wp:term":[{"taxonomy":"wsuwp_university_location","embeddable":true,"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/wsuwp_university_location?post=145"},{"taxonomy":"wsuwp_university_org","embeddable":true,"href":"https:\/\/labs.wsu.edu\/lsd\/wp-json\/wp\/v2\/wsuwp_university_org?post=145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Large-Scale Assessment & Survey Data<\/span><\/h2>\n
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Selected publications:<\/h4>\n
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Quantitative & Statistical Methods<\/span><\/h2>\n
Selected projects, grants, & contracts:<\/h4>\n
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Data Science & Machine Learning<\/span><\/h2>\n
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Measurement & Psychometrics<\/span><\/h2>\n
Selected projects & grants:<\/h4>\n
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Selected publications:<\/h4>\n
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Instrument Development & Validation<\/span><\/h2>\n
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Program Evaluation & Applied Research<\/span><\/h2>\n
Selected projects & grants:<\/h4>\n
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Selected evaluation reports:<\/h4>\n
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Statistical Software & Reproducible Research<\/span><\/h2>\n
Selected software:<\/h4>\n
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\nhttps:\/\/cran.r-project.org\/package=DIFplus<\/a>.<\/li>\nResearch, Collaboration & Training<\/span><\/h2>\n
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