Audit the diary structure
Review person-by-day completeness, date order, duplicates, gaps, compliance, and observations per participant.
PREMIUM R MARKDOWN WORKFLOW · VERSION 1.0
A complete, editable workflow for auditing 14-day diary data, separating within-person and between-person effects, fitting concurrent and lagged multilevel models, evaluating temporal dependence, planning power, and reporting results.
One-time purchase · Individual-use license · Secure digital delivery
WHAT IS INSIDE
The package connects diary-structure audits, centering decisions, multilevel estimation, temporal diagnostics, power planning, and dynamic reporting in one reproducible report.
Review person-by-day completeness, date order, duplicates, gaps, compliance, and observations per participant.
Identify measures that vary enough within people to support an intensive longitudinal question.
Separate day-level deviations from person-level averages and interpret each effect on its proper level.
Estimate unconditional, concurrent, next-day lagged, random-intercept, and random-slope models.
Use calendar-aware lags and review time trends, day-of-week patterns, unequal spacing, and autocorrelation.
Create accessible effect plots, reusable tables, dynamic results text, and a simulation-based power demonstration.
DESIGNED FOR DOCTORAL RESEARCH
Experience-sampling bursts, more than two levels, categorical outcomes, dynamic structural equation models, and intensive series with complex serial dependence may require extensions beyond this workflow.
PUBLIC PREVIEW
The public preview shows the analysis output, figures, decision guidance, and dynamic reporting without exposing the underlying code. The paid package includes the complete editable R Markdown source, reusable diary module, all analysis code, synthetic data, documentation, and exported results.
THE DOWNLOADABLE PACKAGE
The synthetic 14-day dataset contains unequal compliance, missing days, and documented within-person and between-person relations. The complete analysis runs before you introduce your own data.
The workflow supports analysis and documentation. Design, centering, lag, covariance, and causal-interpretation decisions remain the researcher's responsibility and should be reviewed with the dissertation advisor, committee, or a qualified statistician.
VERSION 1.0
Pay securely and receive the version 1.0 ZIP with the editable analysis, reusable diary module, synthetic data, documentation, rendered report, and reusable exports.
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