A full-process AI Agent research training package that teaches students to deploy Codex, Claude Code, OpenClaw, Hermes, and other Agents from scratch; use tools such as Skills, Feishu, AMiner, AI4Scholar, Zotero, and Obsidian; and complete real-world literature searches, daily literature reviews, knowledge-base construction, topic generation, theory building, scenario experiment design, scale development, statistical analysis, causal inference, text mining, EEG/ERP experiments, BCI EEG modeling,
Audit manuscript layout and spacing constraints for journal submission. Use for margins, line spacing, paragraph indentation, block quotes, page breaks, title page layout, double spacing, section spacing, DOCX rendering instructions, and final submission layout checks.
Format and audit academic reference lists for journal submission. Use for APA 7 references, journal-specific bibliography style, DOI audit, punctuation, title case or sentence case, journal name italics, volume issue pages, alphabetical or numeric sorting, and incomplete reference flagging without fabricating metadata.
Audit and standardize statistical reporting, mathematical notation, p-values, confidence intervals, effect sizes, and measurement units for manuscripts. Use for APA 7 statistics style, SI units, exact p-value formatting, italic statistical symbols, unit consistency, and numeric-format compliance without changing…
Format table and figure labels, captions, notes, and numbering for academic journals. Use for APA 7 tables and figures, table title placement, figure caption placement, sequential numbering, panel labels, table notes, figure notes, appendix tables, and visual data title audit without changing data.
Format manuscript title pages and front matter metadata for academic journal submission. Use for title page formatting, author names, affiliations, corresponding author details, funding statement placement, acknowledgements metadata, APA 7 title page, journal-specific front matter, and manuscript metadata audit.
Run and report ERP segmentation and component analysis. Use for epoching, baseline correction, artifact rejection, averaging, component windows, ROI electrodes, peak and mean amplitude, latency, topography, ERP statistics, and ERP Results writing.
Assess common method bias and measurement invariance in survey, experiment, and cross-group research. Use for Harman single-factor test caveats, marker variable, CFA common latent factor, procedural remedies, configural metric scalar invariance, multi-group CFA, cross-cultural measurement equivalence, and reviewer…
Plan, run, and report exploratory factor analysis and confirmatory factor analysis for academic scales. Use for EFA, CFA, factor loadings, model fit indices, CFI, TLI, RMSEA, SRMR, chi-square, modification indices, cross-loadings, latent variable measurement models, and questionnaire validation.
Write questionnaire measurement and psychometrics sections for management, psychology, marketing, information systems, HCI, and behavioral manuscripts. Use for measurement tables, scale sources, sample items, response anchors, reliability validity reporting, CFA reporting, common method bias reporting, and appendix…
Select, adapt, and justify psychological, management, marketing, HCI, and behavioral research scales. Use for validated scale search, construct operationalization, item selection, translation/back-translation planning, cultural adaptation, response anchors, reverse-coded items, and questionnaire construction.
Audit and design causal inference strategies for management, information systems, marketing, psychology, and text-mining empirical research. Use for causal claims, DAGs, confounding, identification, DID, PSM, IV, RDD, DML, matching, controls, mechanisms, heterogeneity, and what cannot be interpreted causally.
Plan, implement, and report DID, event study, PSM, IV, RDD, and DML analyses. Use for quasi-experimental management and information systems studies, parallel trends, matching balance, first stage, exclusion restriction, bandwidth, double machine learning, robustness checks, and causal results tables.
Design, analyze, and report multilevel, mixed-effects, repeated-measures, diary, panel, and longitudinal models. Use for nested data, participants within teams, repeated observations, random intercepts, random slopes, cross-level interactions, growth models, ICC, and management or psychology longitudinal reporting.
Design, analyze, and report PROCESS-style mediation, moderation, and moderated mediation models. Use for indirect effects, bootstrap mediation, simple slopes, Johnson-Neyman, conditional indirect effects, Hayes PROCESS models, mechanism testing, boundary conditions, and behavioral research results reporting.
Plan, run, and report SEM, CFA, path analysis, and latent variable models. Use for structural equation modeling, lavaan/Mplus/AMOS, measurement model, structural model, model fit, latent mediation, competing models, common method factor, and manuscript reporting.
Create publication-style statistical tables and result interpretations. Use for regression tables, mediation tables, SEM tables, multilevel tables, DID/event-study tables, effect sizes, confidence intervals, exact p-values, APA tables, management journal tables, robustness tables, and Results writing.
Select and use public BCI and EEG benchmark datasets. Use for BCI Competition, MOABB, PhysioNet EEG, OpenNeuro EEG, motor imagery, P300, SSVEP, workload, emotion, dataset documentation, licensing, subject splits, and benchmark comparability.
Design and audit BCI and EEG machine-learning data structures. Use for subject/session/run/trial organization, labels, metadata, train-test split units, BIDS-like EEG folders, feature tables, event logs, class balance, and reproducible BCI project structure.
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