Synthetic demonstration. People, statements and measurements are invented. Planted patterns test the software; they do not validate a quality standard.
Survey changes describe observed pre/post differences. They do not establish why views changed. Dialogue statistics describe recorded speech. Annotation results depend on supplied coding. D, P and H describe attitudes; their signs are not grades for deliberation.
| event | item | metric | contrast_id | estimate | units | n | denominator | coverage |
|---|---|---|---|---|---|---|---|---|
| Synthetic transport deliberation | Support for bus route | opinion_change | NA | −0.425 | fraction | 20 | 20 | 1.000 |
| Synthetic transport deliberation | Support for bus route | H | NA | 0.245 | fraction | 20 | 20 | 1.000 |
| Synthetic transport deliberation | Support for bus route | P | NA | −0.425 | fraction | 20 | 20 | 1.000 |
| Synthetic transport deliberation | Support for bus route | D | education | −0.425 | fraction | 20 | 20 | 1.000 |
| Synthetic transport deliberation | Correct factual answer | knowledge_gain | NA | 0.000 | fraction | 20 | 20 | 1.000 |
| Synthetic transport deliberation | Support for bus route | post_attrition | NA | 0.000 | fraction | 20 | 20 | 1.000 |
| Synthetic transport deliberation | Correct factual answer | post_attrition | NA | 0.000 | fraction | 20 | 20 | 1.000 |
Points show separate event–item changes. Items need not measure the same construct; the report does not average them into a common success score. The main analysis uses the membership setting recorded below. Cluster or survey intervals appear in the diagnostic table only when their assumptions were explicitly declared.
H is the decrease in within-group attitude dispersion. Positive P is movement away from the baseline side’s midpoint. Positive D is movement toward the explicitly designated advantaged reference’s baseline view. Baseline ties can make a direction undefined.
Attrition is post-wave missingness among observed baseline respondents. It does not count people absent from both survey waves. Missingness can alter the population described by a change estimate; neither paired analysis nor robust standard errors establishes ignorable attrition.
When an available-wave sensitivity run is supplied, this table compares it with the main event–item results. Differences can reflect changing respondent composition. Neither agreement nor disagreement establishes ignorable attrition.
No separate membership sensitivity run was supplied.
Speaking concentration and subgroup differences are diagnostics to investigate. Perfectly equal airtime is not imposed as a quality target. Argument coverage refers to the supplied inventory; it cannot establish that the inventory contains every important argument.
“Unavailable” means required inputs are missing. “Unassessable” means inputs exist but usable observations, definitions or inferential assumptions are insufficient. Each analysis lists its requirements.
Filter by event, item, metric or subgroup. CSV and Copy export the filtered rows. The table includes denominators, coverage, units, methods and reasons for unassessable results. Raw and Holm-adjusted p-values are separate; absent a declared testing family, tests are exploratory.
Rules are evaluated separately. NOT_TRIGGERED means the conditions were not met; it does not mean PASS. NOT_ASSESSED means required evidence was missing or insufficiently covered.
demonstration-1 : Illustrative participation rules, not validated deliberation standards.
education : Synthetic educational disadvantage . Reference designated advantaged: TRUE
No eligible records.
Source excerpts and person-level records are omitted. The saved R result retains supplied evidence and identifiers.
## R version 4.6.1 (2026-06-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.5 LTS
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## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
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## other attached packages:
## [1] deliberately_0.1.0
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## [1] gtable_0.3.6 jsonlite_2.0.0 dplyr_1.2.1 compiler_4.6.1
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## [9] jquerylib_0.1.4 systemfonts_1.3.2 scales_1.4.0 textshaping_1.0.5
## [13] yaml_2.3.12 fastmap_1.2.0 ggplot2_4.0.3 R6_2.6.1
## [17] labeling_0.4.3 generics_0.1.4 knitr_1.52 htmlwidgets_1.6.4
## [21] tibble_3.3.1 desc_1.4.3 rprojroot_2.1.1 RColorBrewer_1.1-3
## [25] bslib_0.12.0 pillar_1.11.1 rlang_1.3.0 DT_0.34.0
## [29] cachem_1.1.0 xfun_0.61 S7_0.2.2 fs_2.1.0
## [33] sass_0.4.10 otel_0.2.0 cli_3.6.6 pkgdown_2.2.1
## [37] withr_3.0.3 magrittr_2.0.5 crosstalk_1.2.2 digest_0.6.39
## [41] grid_4.6.1 assertr_3.0.1 lifecycle_1.0.5 vctrs_0.7.3
## [45] evaluate_1.0.5 glue_1.8.1 farver_2.1.2 ragg_1.5.2
## [49] gt_1.3.0 rmarkdown_2.32 tools_4.6.1 pkgconfig_2.0.3
## [53] htmltools_0.5.9