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{"kind":"table","sheet":"Literature Matrix","address":"A1:P17","rows":17,"cols":16,"values":[["Focused literature matrix",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],["Questionnaire harmonization, semantic item models, cross-national DIF, and complex-survey Bayesian inference. Checked 2026-09-20.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],["source_id","citation","year","publication_status","evidence_type","domain_and_data","sample_or_scope","main_result","project_use","limitations","supports","does_not_support","doi_or_id","source_url","verification_status","checked_date"],["L01","Chen et al. Pre-statistical harmonization of behavioral instruments across eight surveys and trials",2021,"peer_reviewed","empirical workflow/methods","Behavioral instruments across eight dementia surveys and trials","Eight studies; manual instrument review plus automated raw-data checks","Comparable-looking items often differed in wording, response options, scoring, or direction and required pre-statistical review","Defines the source-review and crosswalk work required before statistical linking","Different population and constructs; does not test semantic embeddings or cross-national DIF","Official wording, response options, scoring, and populations must be reviewed before pooling","Semantic similarity alone establishes psychometric equivalence","10.1186/s12874-021-01431-6","https://doi.org/10.1186/s12874-021-01431-6","verified_primary","2026-09-20"],["L02","Kołczyńska. Combining multiple survey sources: A reproducible workflow and toolbox for survey data harmonization",2022,"peer_reviewed","methods/workflow","Four cross-national survey projects; trust items","ESS, EVS, EQLS and Eurobarometer example","Crosswalk-centered, human-auditable documentation improves reproducibility of ex-post harmonization","Supports machine-readable source crosswalks, recodes, provenance and status tracking","Focuses recoding/documentation rather than latent linking or item semantics","Harmonization decisions and transformations need reusable documentation","A documented crosswalk proves measurement invariance","10.1177/20597991221077923","https://doi.org/10.1177/20597991221077923","verified_primary","2026-09-20"],["L03","McElroy et al. Using natural language processing to facilitate the harmonisation of mental health questionnaires",2024,"peer_reviewed","empirical validation","Five mental-health questionnaires in a UK adult sample","2,058 participants; 741 item pairs","Sentence-BERT semantic similarity correlated moderately with empirical item correlations and predicted held-out pair correlations with small error","Closest evidence for semantic item matching and response-structure signal","Adult UK sample, overlapping questionnaires and shared respondents; manual rules still needed; no cross-country DIF or survey-design inference","Text embeddings can help propose harmonization candidates","Embedding similarity verifies psychometric equivalence or transportability","10.1186/s12888-024-05954-2","https://doi.org/10.1186/s12888-024-05954-2","verified_primary","2026-09-20"],["L04","Ravenda et al. Rethinking psychometrics through LLMs: how item semantics shape measurement and prediction in psychological questionnaires",2025,"peer_reviewed","empirical proof-of-concept","Big Five, DASS-42, GAD-7 and PHQ-9 questionnaire data","Large public questionnaire datasets; proof-of-concept response prediction","Semantic structure predicted empirical correlation patterns and supported prediction of responses to unseen items","Shows semantic representations can encode response-structure information in psychological questionnaires","Cross-cultural and multilingual transport were not established; predictive proof-of-concept is not survey harmonization","Item semantics may explain part of response covariance","Universal psychometric equivalence, DIF recovery or calibrated cross-national latent scores","10.1038/s41598-025-21289-8","https://doi.org/10.1038/s41598-025-21289-8","verified_primary","2026-09-20"],["L05","Yancey et al. BERT-IRT: Accelerating Item Piloting with BERT Embeddings and Explainable IRT Models",2024,"peer_reviewed_conference","method plus operational evaluation","Duolingo English Test items","High-stakes language assessment item bank; exact proprietary sample details require full-paper extraction","BERT embeddings and engineered features reduced pilot length while maintaining reported criterion validity and reliability","Direct precedent for text features predicting IRT item parameters","Educational test items differ from suicide-related survey items; does not address cross-country DIF, complex samples or latent phenotype harmonization","Text-derived item features can inform item-parameter estimation","This project's core method is unprecedented or immediately transferable to health surveys","ACL Anthology 2024.bea-1.35","https://aclanthology.org/2024.bea-1.35/","verified_primary","2026-09-20"],["L06","Chen and Chen. From Text to Parameters: Predicting Item Parameters from Embedding Regularization with Reliability and Design Ceilings",2026,"preprint","method/benchmark","Mathematics and medical-licensure item banks","Two item banks; repeated cross-validation and simulation-based ceilings","Difficulty was more predictable than other parameters; reliability/design ceilings and repeated splits changed interpretation","Requires uncertainty-aware targets, repeated grouped validation and ceiling analysis for semantic parameter prediction","Preprint; educational/assessment domains; not cross-national mental-health surveys","Parameter-prediction benchmarks need target reliability and design ceilings","Reported RMSE alone establishes useful semantic signal","arXiv:2607.07141","https://arxiv.org/abs/2607.07141","verified_preprint","2026-09-20"],["L07","Peters et al. Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review",2025,"preprint","systematic review","Automated item-difficulty prediction","37 articles through May 2025","Language models can predict item difficulty in some settings, but studies vary in datasets, splits, targets and metrics","Maps existing text-to-difficulty literature and prevents novelty overclaiming","Preprint; focuses large-scale assessment rather than health questionnaires, DIF or survey design","Text-based difficulty prediction is an established research area","Reported best-case metrics transfer to this project","arXiv:2509.23486","https://arxiv.org/abs/2509.23486","verified_preprint","2026-09-20"],["L08","Muthén and Asparouhov. IRT studies of many groups: the alignment method",2014,"peer_reviewed","method plus Monte Carlo","Binary knowledge items across many country groups","Two surveys plus simulation","Alignment estimates group factor means/variances without requiring exact invariance and reports parameter non-invariance","Core comparator for many-country measurement invariance and DIF","Requires a prespecified factor structure and adequate linkage; alignment is not proof that all groups share one construct","Approximate invariance can be studied across many groups","Alignment repairs absent empirical connections or identifies a scale from semantics alone","10.3389/fpsyg.2014.00978","https://doi.org/10.3389/fpsyg.2014.00978","verified_primary","2026-09-20"],["L09","Mansolf et al. Extensions of Multiple-Group Item Response Theory Alignment",2020,"peer_reviewed","method, simulation and application","International psychiatric genomics consortium with disparate item sets and formats","Multiple sites/instruments plus real-data-based simulation","Extended alignment accommodated differing item sets and response categories and recovered parameters in simulation","Closest latent-harmonization comparator for psychiatric phenotypes with nonidentical instruments","Needs specified construct/factor model and empirical connections; population and sampling designs differ from this project","Disparate psychiatric item sets can sometimes be aligned with explicit assumptions","Semantic priors alone create a common scale or eliminate anchor requirements","10.1177/0013164419897307","https://doi.org/10.1177/0013164419897307","verified_primary","2026-09-20"],["L10","Heinz et al. Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries",2022,"peer_reviewed","cross-national psychometric application","Eight-item adolescent HBSC symptom checklist","229,906 adolescents across 46 countries","Configural/metric invariance was more defensible than scalar invariance; alignment identified item non-invariance","Demonstrates the scale of cross-country adolescent DIF and consequences for comparisons","Uses one established common instrument, not different survey tools or unseen-item semantic prediction","Cross-national adolescent comparisons require item-level invariance/DIF checks","A common questionnaire automatically yields scalar comparability","10.1186/s12874-022-01698-3","https://doi.org/10.1186/s12874-022-01698-3","verified_primary","2026-09-20"],["L11","Savitsky and Williams. Pseudo Bayesian Mixed Models under Informative Sampling",2022,"peer_reviewed","method, simulation and application","Hierarchical models under informative multistage sampling","Simulation plus business-establishment survey example","Weighting only unit likelihood contributions can remain biased when random effects correlate with design; weighting random-effect distributions addresses this setting","Constrains how hierarchical country/survey effects and design weights can be combined","Not an IRT application; requires inclusion-probability information and design assumptions","Complex-sample Bayesian multilevel models need design-aware treatment beyond naive weighted likelihood","Multiplying every likelihood by a weight guarantees correct interval coverage","10.2478/jos-2022-0039","https://doi.org/10.2478/jos-2022-0039","verified_primary","2026-09-20"],["L12","Wu and Stephenson. Bayesian estimation methods for survey data with potential applications to health disparities research",2024,"peer_reviewed_review","narrative methodological review","Bayesian analysis of complex survey data","Reviews MRP, weighted pseudo-likelihood and synthetic-population approaches","No single Bayesian survey method is universally sufficient; assumptions and target estimands determine the route","Provides the survey-design method map for later model specifications and sensitivity analyses","Review rather than project-specific validation; does not resolve IRT identification","Multiple defensible Bayesian survey strategies exist and must be chosen by estimand/design","Bayesian modeling automatically corrects informative sampling","10.1002/wics.1633","https://doi.org/10.1002/wics.1633","verified_primary","2026-09-20"],["L13","Wu et al. Statistical harmonization of versions of measures across studies using external data",2025,"peer_reviewed","calibration-sample method","Self-rated health and memory measured with different response formats","External calibration sample of 300 participants","A bridge sample answering both versions enabled model-based statistical harmonization with moderate agreement","Shows why bridge data may be necessary when archival surveys lack empirical links","Different constructs and older clinical population; external sample design differs from multi-item IRT","Targeted bridge data can identify transformations unavailable from disconnected archives","Text similarity can replace empirical bridge data without uncertainty","10.1016/j.annepidem.2025.01.002","https://doi.org/10.1016/j.annepidem.2025.01.002","verified_primary","2026-09-20"]]}
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