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| How to use ResiMETA Data Dictionary | |||||||||||||||||||||||||
| # | This data dictionary is linked to ResiMETA database (ResiMETA_Database_v[x]) and can be used to: | ||||||||||||||||||||||||
| understand the overall structure of the database and the correct interpretation of coded variables | |||||||||||||||||||||||||
| look up definitions, coding schemes, variable formats or abbreviations | |||||||||||||||||||||||||
| # | For questions or support, feel free to contact: | ||||||||||||||||||||||||
| resimeta@lir-mainz.de | |||||||||||||||||||||||||
| Data Dictionary Status | |||||||||||||||||||||||||
| Certain variables are currently being finalized and are not yet included in this version of the data dictionary. These variables will be added in the upcoming release. | |||||||||||||||||||||||||
| We continuously update and refine the dataset to ensure completeness and accuracy. Users are encouraged to refer to the latest version for the most up-to-date information. | |||||||||||||||||||||||||
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| traj_non_prototypical | no | lev2_trajectory_models | indicates whether the final selected trajectory model contains at least one trajectory assigned a non-prototypical harmonized trajectory label. | # code TRUE if at least one identified trajectory is assigned a non-prototypical harmonized label; i.e., moderate_stable, curvilinear, unclear | context-dependent | boolean | nominal | input field | {TRUE, FALSE} | NA | NA | pending | true | NA | |||
| traj_double | no | lev2_trajectory_models | NA | context-dependent | pending | ||||||||||||
| traj_figure | no | lev2_trajectory_models | Indicates whether the study provides a graphical representation of the final trajectory solution underlying the extracted prevalence estimates | # code TRUE if at least one figure, plot, or graphical panel displays the estimated trajectories of the prevalence-defining model; the figure may be reported in the main article, supplementary materials, or another accessible study document # code TRUE regardless of whether trajectories are shown as observed means, estimated means, model-implied curves, or another trajectory-level graphical representation # code FALSE if the final trajectory solution is reported only in text, tables, or model parameters without a graphical representation # code FALSE if available figures show only alternative or rejected model solutions, unless these correspond to the model from which prevalence estimates were extracted # do not count conceptual diagrams, model schematics, individual participant profiles, outcome distributions, class-membership plots, or model-fit comparisons that do not display the estimated trajectories # for studies reporting multiple outcomes or trajectory analyses, code separately for the prevalence-defining model represented by the respective row | mandatory | boolean | binary | drop-down list (single) | {TRUE, FALSE} | NA | NA | NA | true | NA | |||
| traj_pct_basis | no | lev2_trajectory_models | indicates the statistical basis and provenance of the trajectory-specific percentages | # see supporting manual | mandatory | string | nominal | drop-down list (single) | {model_estimated, assigned_class_membership, derived_from_model_estimated_n, derived_from_assigned_n, derived_from_n_unclear, unclear} | NA | NA | NA | model_estimated | pending | |||
| traj_n_basis | no | lev2_trajectory_models | indicates the statistical basis and provenance of the trajectory-specific absolute sample size | # see supporting manual | mandatory | string | nominal | drop-down list (single) | {model_estimated, assigned_class_membership, derived_from_model_estimated_pct, derived_from_assigned_pct, derived_from_pct_unclear, unclear} | NA | NA | NA | assigned_class_membership | pending | |||
| traj_results_consistency | no | lev2_trajectory_models | internal consistency of reported trajectory results | CATEGORIES # consistent: reported trajectory Ns, percentages, and model N are mutually compatible after accounting for their statistical basis and expected rounding/precision # minor discrepancy: small unexplained mismatch plausibly attributable to rounding, decimal precision, or reporting format # major discrepancy: substantive unexplained incompatibility between reported trajectory Ns, percentages, and/or model N that cannot plausibly be explained by rounding or different statistical bases # NA: insufficient overlapping information to assess consistency (e.g., only trajectory percentages or only trajectory Ns are reported) CODING RULES # compare values only after considering {traj_pct_basis} and {traj_n_basis}; differences between model-estimated proportions and assigned class Ns are not discrepancies # do not treat expected properties of model-based estimates as inconsistencies (e.g., separately reported posterior median class proportions summing to slightly above or below 100%) # if an apparent discrepancy is resolved by author clarification, code according to the resolved information rather than retaining a discrepancy category | mandatory | string | nominal | drop-down list (single) | {consistent, minor_discrepancy, major_discrepancy} | NA | NA | NA | consistent | NA | |||
| traj_results_consistency_desc | no | lev2_trajectory_models | brief description of discrepancies between model N, trajectory-specific Ns, and/or trajectory-specific percentages | # use only if {traj_results_consistency} = major_discrepancy # otherwise: NA # briefly describe the source of inconsistency and any extraction decision, e.g., “reported model N = 615; sum of reported trajectory Ns = 614, discrepancy likely due to rounding of class percentages." | conditional: {traj_results_consistency} = major discrepancy | string | nominal | input field | NA | NA | NA | NA | pending | NA | |||
| traj_label_uncertainty | no | lev2_trajectory_models | indicates whether relevant uncertainty remains regarding the assigned ResiMETA trajectory label after applying the trajectory labeling manual and any required team resolution | # TRUE: one specific {traj_label} was retained, but the available information remains sufficiently ambiguous, incomplete, or conflicting that another harmonized label is still reasonably plausible after applying the rules within the selected tier # FALSE: the label is adequately supported, or initial uncertainty was resolved through the coding rules or team discussion # do not code TRUE merely because: ## the case was discussed or required senior review ## the assignment is based on a lower tier, a ResiMETA heuristic, figure-based information, or another inherently less robust source ## uncertainty concerns the choice of {traj_severity_basis} but does not affect the resulting trajectory label # within a clearly assigned tier, code TRUE only when uncertainty remains about which trajectory label should be assigned # if {traj_label} = unclear, code FALSE when unclear is the resolved classification according to the manual; code TRUE only if uncertainty remains between assigning unclear and a specific trajectory label # when coded TRUE, document the reason and the plausible alternative label in {traj_comments} | mandatory | boolean | binary | drop-down list (single) | {TRUE, FALSE} | NA | NA | false | NA | ||||
| traj_comments | no | lev2_trajectory_models | free-text field for trajectory-level information needed to understand or audit the harmonized labeling decision, including unresolved label uncertainty, resolved edge cases, conflicting sources, unusual reporting features, or other relevant information not captured in structured variables | # use sparingly and only when the information is relevant to interpretation or reproducibility # document: ## the reason for {traj_label_uncertainty} = TRUE and the plausible alternative label ## for Tier 1 and Tier 3 assignments: the threshold source and the original comparison operator and boundary inclusivity (e.g., `>=10` or `>11`) ## indicate when the threshold was verified through a secondary source because the original source was unavailable ## substantive conflicts between numeric values, figures, model parameters, or author interpretation ## unusual threshold applications, reconstructed values, or other non-standard decisions not fully captured in structured variables ## the reason for assigning {traj_label} = unclear where this is not already evident from structured fields # resolved edge cases may be documented when the rationale is not obvious from the coding rules or structured variables # do not repeat information already captured in structured fields unless needed to explain a conflict, uncertainty, or unusual decision # keep comments concise and decision-focused | context-dependent | string | nominal | input field | NA | NA | NA | discrepancies between n calculated from % (figure 2)and n reported (table 2), up to -9 difference; but reported n also add up to total n | NA | ||||
| Level 3: Resilience Factor Analyses | |||||||||||||||||
| Level 3.1: Resilience Factors / Mechanisms | |||||||||||||||||
| rf_sample_overlap_primary | outdated version | lev3_resilience_factors | selection | Indicates whether the RF record is retained after resolving sample overlap for RF analyses. | RF-level analogue of traj_model_sample_overlap_primary | mandatory | boolean | binary | drop-down list (single) | vs_boolean | NA | NA | NA | true | active | Sample overlap table | |
| rf_within_report_sample_primary | outdated version | lev3_resilience_factors | selection | multiple rfs mapping to same overall construct -> which one retained? | mandatory | boolean | binary | drop-down list (single) | vs_boolean | NA | NA | NA | true | active | ??? | ||
| rf_name | yes | name of resilience factor as stated in publication | # Inversion rules: [a] do not invert negative/maladaptive coping/appraisal/emotion regulation, etc. (anything based solely on assumptions about the direction of effect); [b] invert direction (couple conflicts → few couple conflicts (i)); [c] if only the scale is reversed, we take this into account in the rating but do not invert the name | mandatory | string | nominal | input field | NA | NA | NA | workplace social support (Analyses: low work support) | NA | |||||
| rf_label | yes | categorization of resilience factor into defined labels | # CAVE: based on assessment tool (authors' labeling may sometimes differ) # resilience facors reported at least five times will be assigned to a new category, otherwise “not yet categorized” | mandatory | string | nominal | drop-down list (single) | pending | NA | NA | workplace atmosphere | NA | |||||
| rf_category | yes | superior categorization of resilience factor into defined labels | # CAVE: based on assessment tool (authors' labeling may sometimes differ) # resilience facors reported at least five times will be assigned to a new category, otherwise “not yet categorized” | mandatory | string | nominal | drop-down list (single) | pending | NA | NA | work-related factors | NA | |||||
| rf_level | yes | categorization of resilience factor into defined levels based on a multilevel approach to resilience factors, resilience factors can be categorised according to the level at which they are perceived and available: individual (e.g., self-efficacy), social (e.g., social support) or societal (e.g., perceived safety) level | NA | mandatory | string | nominal | drop-down list (single) | {individual, social, societal} | NA | NA | social | NA | |||||
| rf_assessment_tool_name | yes | full name of assessment tool for resilience factor | # extract full name and additional information concerning version (e.g. "8-item version", "slightly altered version") or subscale (e.g. "refocus on planning subscale") # do NOT extract information about translated versions (e.g. "ERQ, German version") | mandatory | string | nominal | input field | NA | NA | NA | Multidimensional Scale of Perceived Social Support | NA | |||||
| rf_assessment_tool_abbr | yes | abbreviation of assessment tool for resilience factor | NA | context-dependent | string | nominal | input field | NA | NA | NA | MSPSS | NA | |||||
| rf_assessment_modality | yes | mode in which the instrument was rated (i.e. self-rated or other-rated) | NA | mandatory | string | nominal | drop-down list (single) | {self-rated, other-rated, unclear} | NA | NA | self-rated | NA | |||||
| rf_assessment_tp | no | assessment timepoints of the resilience factor | # extract all timpepoints the resilience factor was assessed → rating based on the earliest possible date (ideal: baseline) | mandatory | string | nominal | input field | NA | NA | NA | Predeployment assessment | NA | |||||
| rf_assessment_pre_stressor | yes | pending | bei longitudinal immer no | mandatory | pending | pending | pending | pending | pending | pending | pending | NA | |||||
| rf_comments | no | comments concerning the resilience factor | NA | context-dependent | string | nominal | input field | NA | NA | NA | a lower overall score indicates a more negative cognitive appraisal of the effect that cancer has had on their identity, relationship and perceived future (e.g. high cancer threat appraisal) | NA | |||||
| Level 3.2: Method | |||||||||||||||||
| rf_model_name | no | statistical model(s) used to assess the predictive validity of the resilience factors | # format: "model1, model2" # include univariate and multivariate models | mandatory | string | nominal | input field | NA | NA | NA | Multinomial Logistic Regression | NA | |||||
| rf_model_desc | no | verbal description of the statistical model(s) used to assess the predictive validity of the resilience factors | # direct quotation from publication | mandatory | string | nominal | input field | NA | NA | NA | "Then, we examined how pre-retirement levels of job demands, decision authority, job strain, workplace social support, efforts, rewards, ERI and procedural justice were associated with membership in the depression trajectory groups by fitting multinomial logistic regression models. First, crude models were fitted for each predictor separately. Second, the models were adjusted for sex, age, civil status and occupational position pre-retirement. Third, the models were additionally adjusted for physical inactivity, excessive alcohol consumption, smoking, cardiovascular disease and diabetes." | NA | |||||
| rf_model_level | no | pending | pending | pending | pending | pending | pending | pending | pending | pending | pending | pending | |||||
| rf_rating_basis | no | basis for rating of the predictive validity of resilience factor (e.g. table X, results section, supplementary material) | NA | mandatory | string | nominal | input field | NA | NA | NA | Table 3 (Model 1 or 2); Chapter "Associations between pre-retirement psychosocial working characteristics and trajectories of depressive symptoms" | NA | |||||
| rf_model_variable_count_total | no | total number of variables included in resilience factor model | # see additional document # univariate analyses: 1 (only resilience factor) | pending | integer | discrete | input field | [1, ∞] | NA | NA | 10 | NA | |||||
| rf_model_variable_count_resilience | no | number of resilience factor variables included in model | # see additional document # only include variables included as resilience factors in the database (irrespective of authors' classification) | pending | integer | discrete | input field | [1, ∞] | NA | NA | 1 | NA | |||||
| rf_model_variable_count_exposure_current | no | number of exposure variables (current stressor exposure) included in model | # see additional document | pending | integer | discrete | input field | NA | NA | NA | 0 | NA | |||||
| rf_model_variable_count_exposure_other | no | number of exposure variables (other stressor exposure) included in model. | # see additional document | pending | integer | discrete | input field | NA | NA | NA | 2 | NA | |||||
| rf_model_variable_count_irrelevant | no | number of irrelevant variables included in model | # see additional document | pending | integer | discrete | input field | NA | NA | NA | 3 | NA | |||||
| rf_model_variable_count_control | no | number of control variables included in model | # see additional document | pending | integer | discrete | input field | NA | NA | NA | 4 | NA | |||||
| rf_model_control_variable_names | no | control variables included in model | # see additional document # format: "variable1, variable2,…" | pending | string | nominal | input field | NA | NA | NA | sex, age, occupational position pre-retirement, civil status. | NA | |||||
| rf_model_comments | no | comments concerning modeling of predictive validity of resilience factors | NA | context-dependent | string | nominal | input field | NA | NA | NA | "Adding age, employment or health insurance status to the model, as these differentiated some the trajectory groups, had little effect on the results (data not shown)." -> rating based on model without control variables | NA | |||||
| Level 3.3: Evidence Ratings | |||||||||||||||||
| rf_rating_c1 | no | indication if ... | NA | context-dependent | string | binary | drop-down list (single) | {TRUE, FALSE} | NA | NA | false | NA | |||||
| rf_rating_c1_basis | yes | basis of rating at first control level (e.g. table X, results section, supplementary material) | NA | conditional: {rf_rating_c1} = TRUE | string | nominal | input field | NA | NA | NA | Table 2, Table 4 | NA | |||||
| rf_rating_c1_resilience_vs_other | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with other trajectories (excluding recovery trajectory) at first control level, i.e. without control for other variables | # significant association with resilient trajectory (vs. other trajectories): POS # no significant association with resilient or other trajectories = ZERO # significant association with other trajectories (vs. resilient trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_1, ZERO_1, NEG_1} | NA | NA | ZERO_1 | NA | |||||
| rf_rating_c1_recovery_vs_less_favorable | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of recovery trajectory with less favorable trajectories at first control level, i.e. without control for other variables | # significant association with recovery trajectory (vs. less favorable trajectories): POS # no significant association with recovery or less favorable trajectories = ZERO # significant association with less favorable trajectories (vs. recovery trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_1, ZERO_1, NEG_1} | NA | NA | POS_1 | NA | |||||
| rf_rating_c1_resilience_vs_recovery | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with recovery trajectory at first control level, i.e. without control for other variables | # significant association with resilient trajectory (vs. recovery trajectory): POS # no significant association with resilient or recovery trajectories = ZERO # significant association with recovery trajectory (vs. resilient trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_1, ZERO_1, NEG_1} | NA | NA | NEG_1 | NA | |||||
| rf_rating_c2 | no | indication if ... | NA | context-dependent | string | binary | drop-down list (single) | {TRUE, FALSE} | NA | NA | false | NA | |||||
| rf_rating_c2_basis | yes | basis of rating at second control level (e.g. table X, results section, supplementary material) | NA | conditional: {rf_rating_c2} = TRUE | string | nominal | input field | NA | NA | NA | Table 4 | NA | |||||
| rf_rating_c2_resilience_vs_other | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with other trajectories (excluding recovery trajectory) at second control level, i.e. under control for sociodemographic variables | # significant association with resilient trajectory (vs. other trajectories): POS # no significant association with resilient or other trajectories = ZERO # significant association with other trajectories (vs. resilient trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_2, ZERO_2, NEG_2} | NA | NA | ZERO_2 | NA | |||||
| rf_rating_c2_recovery_vs_less_favorable | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of recovery trajectory with less favorable trajectories at second control level, i.e. under control for sociodemographic variables | # significant association with recovery trajectory (vs. less favorable trajectories): POS # no significant association with recovery or less favorable trajectories = ZERO # significant association with less favorable trajectories (vs. recovery trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_2, ZERO_2, NEG_2} | NA | NA | POS_2 | NA | |||||
| rf_rating_c2_resilience_vs_recovery | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with recovery trajectory at second control level, i.e. under control for sociodemographic variables | # significant association with resilient trajectory (vs. recovery trajectory): POS # no significant association with resilient or recovery trajectories = ZERO # significant association with recovery trajectory (vs. resilient trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_2, ZERO_2, NEG_2} | NA | NA | NEG_2 | NA | |||||
| rf_rating_c3 | no | indication if ... | NA | context-dependent | string | binary | drop-down list (single) | {TRUE, FALSE} | NA | NA | false | NA | |||||
| rf_rating_c3_basis | yes | basis of rating at third control level (e.g. table X, results section, supplementary material) | NA | conditional: {rf_rating_c3} = TRUE | string | nominal | input field | NA | NA | NA | Table 4 | NA | |||||
| rf_rating_c3_resilience_vs_other | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with other trajectories (excluding recovery trajectory) at third control level, i.e. under control for other resilience factors | # significant association with resilient trajectory (vs. other trajectories): POS # no significant association with resilient or other trajectories = ZERO # significant association with other trajectories (vs. resilient trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | {POS_3, ZERO_3, NEG_3} | NA | NA | ZERO_3 | NA | |||||
| rf_rating_c3_recovery_vs_less_favorable | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of recovery trajectory with less favorable trajectories at third control level, i.e. under control for other resilience factors | # significant association with recovery trajectory (vs. less favorable trajectories): POS # no significant association with recovery or less favorable trajectories = ZERO # significant association with less favorable trajectories (vs. recovery trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | POS_3; ZERO_3; NEG_3 | NA | NA | POS_3 | NA | |||||
| rf_rating_c3_resilience_vs_recovery | yes | evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with recovery trajectory at third control level, i.e. under control for other resilience factors | # significant association with resilient trajectory (vs. recovery trajectory): POS # no significant association with resilient or recovery trajectories = ZERO # significant association with recovery trajectory (vs. resilient trajectory) = NEG | context-dependent | string | nominal | drop-down list (single) | POS_3; ZERO_3; NEG_3 | NA | NA | NEG_3 | NA | |||||
| rf_rating_comments | no | comments concerning evidence level rating | NA | context-dependent | string | nominal | input field | NA | NA | NA | "Only variables that were statistically significant in bivariate analyses were included in these models [multinomial logit model], and only those that attained multivariate statistical significance are retained." | NA | |||||
| rf_rating_resilience_vs_other_num | yes | summary evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with other trajectories (excluding recovery trajectory) from the highest available control level | NA | conditional: at least one of {rf_rating_c1_resilience_vs_other, rf_rating_c2_resilience_vs_other, rf_rating_c3_resilience_vs_other} ≠ NA | integer | discrete | input field | [-3, 3] | NA | NA | 7 | NA | |||||
| rf_rating_recovery_vs_less_favorable_num | yes | summary evidence level rating of resilience factor according to a defined rating scheme: comparison of recovery trajectory with less favourable trajectories from the highest available control level | NA | conditional: at least one of {rf_rating_c1_recovery_vs_less_favorable, rf_rating_c2_recovery_vs_less_favorable, rf_rating_c3_recovery_vs_less_favorable} ≠ NA | integer | discrete | input field | [-3, 3] | NA | NA | 3 | NA | |||||
| rf_rating_resilience_vs_recovery_num | yes | summary evidence level rating of resilience factor according to a defined rating scheme: comparison of resilient trajectory with recovery trajectory across all control levels | NA | conditional: at least one of {rf_rating_c1_resilience_vs_recovery, rf_rating_c2_resilience_vs_recovery, rf_rating_c3_resilience_vs_recovery} ≠ NA | integer | discrete | input field | [-3, 3] | NA | NA | 7 | NA | |||||
| rf_rating_double_lower_control_level | yes | indication whether a second evidence level rating at a lower control level is available for some or all comparisons, apart from the summary evidence level rating | NA | pending | boolean | binary | drop-down list (single) | {TRUE, FALSE} | NA | NA | false | NA | |||||
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| value_set_id | value | order | definition | ||||||
| vs_boolean | true | 1 | condition/characteristic is present | ||||||
| vs_boolean | false | 2 | condition/characteristic is absent | ||||||
| vs_report_data_type | TRAJ | 1 | trajectory data only | ||||||
| vs_report_data_type | RF | 2 | resilience-factor data only | ||||||
| vs_report_data_type | TRAJ_RF | 3 | both trajectory and resilience-factor data | ||||||
| vs_report_data_retained | TRAJ | 1 | trajectory data retained for the current primary-analysis dataset | ||||||
| vs_report_data_retained | RF | 2 | resilience-factor data retained | ||||||
| vs_report_data_retained | TRAJ_RF | 3 | both trajectory and resilience-factor data retained | ||||||
| vs_report_data_retained | none | 4 | no report data retained in the current primary-analysis dataset | ||||||
| vs_report_type | study_protocol | 1 | study protocol | ||||||
| vs_report_type | preprint | 2 | preprint | ||||||
| vs_report_type | peer_reviewed_article | 3 | peer-reviewed journal article | ||||||
| vs_report_type | conference_abstract | 4 | conference abstract | ||||||
| vs_report_type | dissertation | 5 | doctoral dissertation/thesis | ||||||
| vs_report_type | master_thesis | 6 | master thesis | ||||||
| vs_author_contact_status | no_need | 1 | no clarification required | ||||||
| vs_author_contact_status | contact_needed | 2 | clarification needed; not yet sent | ||||||
| vs_author_contact_status | contacted | 3 | request sent; no usable answer yet | ||||||
| vs_author_contact_status | answer_received | 4 | usable author clarification received | ||||||
| vs_sample_overlap_category | same_sample | 1 | all relevant report-sample records represent the same intended analytic participant sample | ||||||
| vs_sample_overlap_category | disjoint_samples | 2 | samples belong to the same dependency/source family but are known not to share participants (e.g., mothers vs. fathers) | ||||||
| vs_sample_overlap_category | nested | 3 | one analytic sample is fully contained within another | ||||||
| vs_sample_overlap_category | partial_overlap | 4 | known participant overlap; neither analytic sample fully contains the other | ||||||
| vs_sample_overlap_category | likely_overlap | 5 | participant overlap is likely but insufficiently documented to classify as nested or partial | ||||||
| vs_sample_overlap_category | unclear_overlap | 6 | shared source/dependency is known but individual-level overlap cannot be determined | ||||||
| vs_sample_overlap_category | mixed | 7 | the dependency group contains multiple substantively different non-identical relationships | ||||||
| vs_sample_overlap_same_sample_diff | none | 1 | same sample repeated without an analytically relevant difference | ||||||
| vs_sample_overlap_same_sample_diff | outcome | 2 | different modeled outcome construct or score | ||||||
| vs_sample_overlap_same_sample_diff | rf | 3 | different resilience-factor content or RF analysis | ||||||
| vs_sample_overlap_same_sample_diff | timepoints | 4 | different modeled timepoints or time window | ||||||
| vs_sample_overlap_same_sample_diff | model | 5 | different statistical trajectory-model specification | ||||||
| vs_sample_overlap_same_sample_diff | analytic_sample | 6 | same intended sample but analysis-specific effective N differs (e.g., due to missingness, attrition, outcome availability, minimum-timepoint requirements, or comparable completeness criteria) | ||||||
| vs_sample_overlap_same_sample_diff | other | 7 | other analytically relevant difference | ||||||
| vs_sample_pop_type | clinical_population | 1 | see project conventions | ||||||
| vs_sample_pop_type | general_population | 2 | see project conventions | ||||||
| vs_sample_pop_type | structural_or_institutional_context_population | 3 | see project conventions | ||||||
| vs_sample_pop_type | role_status_or_life_stage_population | 4 | see project conventions | ||||||
| vs_sample_pop_type | student_population | 5 | see project conventions | ||||||
| vs_sample_pop_type | working_population | 6 | see project conventions | ||||||
| vs_sample_pop_type | mixed | 7 | see project conventions | ||||||
| vs_sample_pop_type_mixed | clinical_population | 1 | see project conventions | ||||||
| vs_sample_pop_type_mixed | general_population | 2 | see project conventions | ||||||
| vs_sample_pop_type_mixed | structural_or_institutional_context_population | 3 | see project conventions | ||||||
| vs_sample_pop_type_mixed | role_status_or_life_stage_population | 4 | see project conventions | ||||||
| vs_sample_pop_type_mixed | student_population | 5 | see project conventions | ||||||
| vs_sample_pop_type_mixed | working_population | 6 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | humanitarian_migrants | 1 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | refugees | 2 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | prisoners | 3 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | ethnic_and_cultural_minorities | 4 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | LGBTQIA+_individuals | 5 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | low_income_individuals | 6 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | unemployed_persons | 7 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | children_in_out_of_home_care | 8 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | children_in_child_protection_investigations | 9 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | individuals_in_support_services_after_interpersonal_violence | 10 | see project conventions | ||||||
| vs_sample_pop_structural_institutional | former_child_soldiers | 11 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | peripartum_women | 1 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | peripartum_women_after_IVF | 2 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | peripartum_men | 3 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | peripartum_women_and_men | 4 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | mothers | 5 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | fathers | 6 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | parents | 7 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | brothers_and_sisters | 8 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | partners | 9 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | family_members | 10 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | retirees | 11 | see project conventions | ||||||
| vs_sample_pop_role_status_life_stage | veterans | 12 | see project conventions | ||||||
| vs_sample_pop_working | multiprofessional_responders | 1 | see project conventions | ||||||
| vs_sample_pop_working | volunteer_responders | 2 | see project conventions | ||||||
| vs_sample_pop_working | military_personnel | 3 | see project conventions | ||||||
| vs_sample_pop_working | health_care_workers | 4 | see project conventions | ||||||
| vs_sample_pop_working | emergency_medical_services_personnel | 5 | see project conventions | ||||||
| vs_sample_pop_working | social_care_workers | 6 | see project conventions | ||||||
| vs_sample_pop_working | health_and_social_care_workers | 7 | see project conventions | ||||||
| vs_sample_pop_working | humanitarian_aid_workers | 8 | see project conventions | ||||||
| vs_sample_pop_working | law_enforcement_personnel | 9 | see project conventions | ||||||
| vs_sample_pop_working | fire_service_personnel | 10 | see project conventions | ||||||
| vs_sample_pop_working | institutional_staff | 11 | see project conventions | ||||||
| vs_sample_pop_working | corporate_employees | 12 | see project conventions | ||||||
| vs_sample_pop_working | multiple_professions | 13 | see project conventions | ||||||
| vs_sample_population_student | college_or_university_students | 1 | see project conventions | ||||||
| vs_sample_population_student | primary_or_high_school_students | 2 | see project conventions | ||||||
| vs_sample_pop_clinical | mental_health_condition | 1 | see project conventions | ||||||
| vs_sample_pop_clinical | physical_health_condition | 2 | see project conventions | ||||||
| vs_sample_pop_clinical | unclear_condition | 3 | see project conventions | ||||||
| vs_sample_age_group | young | 1 | 0–24 years | ||||||
| vs_sample_age_group | middle | 2 | 25–60 years | ||||||
| vs_sample_age_group | old | 3 | >60 years | ||||||
| vs_stressor_category | pandemics_and_epidemics | 1 | see project conventions | ||||||
| vs_stressor_category | conflicts_and_wars | 2 | see project conventions | ||||||
| vs_stressor_category | humanitarian_migration | 3 | see project conventions | ||||||
| vs_stressor_category | environmental_and_natural_disasters | 4 | see project conventions | ||||||
| vs_stressor_category | non_environmental_disasters | 5 | see project conventions | ||||||
| vs_stressor_category | adverse_childhood_experiences | 6 | see project conventions | ||||||
| vs_stressor_category | bereavement | 7 | see project conventions | ||||||
| vs_stressor_category | health_related_stressors_acute_event | 8 | see project conventions | ||||||
| vs_stressor_category | health_related_stressors_diagnosis_and_onset | 9 | see project conventions | ||||||
| vs_stressor_category | health_related_stressors_treatment_and_surgery | 10 | see project conventions | ||||||
| vs_stressor_category | health_related_stressors_in_close_connections | 11 | see project conventions | ||||||
| vs_stressor_category | perinatal_stressors | 12 | see project conventions | ||||||
| vs_stressor_category | military_stressors | 13 | see project conventions | ||||||
| vs_stressor_category | job_loss_and_retirement | 14 | see project conventions | ||||||
| vs_stressor_category | educational_transition | 15 | see project conventions | ||||||
| vs_stressor_category | marriage | 16 | see project conventions | ||||||
| vs_stressor_category | divorce | 17 | see project conventions | ||||||
| vs_stressor_category | violence_exposure_and_witnessing | 18 | see project conventions | ||||||
| vs_stressor_category | menopause | 19 | see project conventions | ||||||
| vs_stressor_category | financial_or_economic_crises | 20 | see project conventions | ||||||
| vs_stressor_category | terrorist_attacks_and_mass_shootings | 21 | see project conventions | ||||||
| vs_stressor_category | work_related_stressors | 22 | see project conventions | ||||||
| vs_stressor_category | assisted_reproductive_treatment | 23 | see project conventions | ||||||
| vs_stressor_category | other | 24 | see project conventions | ||||||
| vs_stressor_category | mixed | 25 | see project conventions | ||||||
| vs_stressor_perinatal_spec | pregnancy | 1 | pregnancy as the primary perinatal stressor | ||||||
| vs_stressor_perinatal_spec | birth | 2 | birth/delivery as the primary perinatal stressor | ||||||
| vs_stressor_perinatal_spec | perinatal_transition | 3 | pregnancy and birth treated as one perinatal transition | ||||||
| vs_stressor_level | individual | 1 | stressor primarily anchored in the index person's body, health, treatment, biological/life-course transition, or personal acute event | ||||||
| vs_stressor_level | social | 2 | stressor primarily anchored in relationships, family, interpersonal events, roles, occupational/educational/institutional contexts, or close others | ||||||
| vs_stressor_level | societal | 3 | stressor primarily anchored in population/community-level public-health, geopolitical, ecological, economic, or disaster contexts | ||||||
| vs_stressor_level | mixed | 4 | pooled index stressors span levels without one defensible primary level | ||||||
| vs_stressor_level | unclear | 5 | available information is insufficient to identify the stressor level | ||||||
| vs_stressor_chronicity | acute | 1 | see project conventions | ||||||
| vs_stressor_chronicity | chronic_homogenous | 2 | see project conventions | ||||||
| vs_stressor_chronicity | chronic_heterogenous | 3 | see project conventions | ||||||
| vs_stressor_chronicity | transitional_normative | 4 | see project conventions | ||||||
| vs_stressor_chronicity | transitional_non_normative | 5 | see project conventions | ||||||
| vs_stressor_chronicity | mixed | 6 | see project conventions | ||||||
| vs_outc_merged_type | multi_construct_composite | 1 | multiple constructs combined into one modeled outcome | ||||||
| vs_outc_merged_type | multi_tool_same_construct | 2 | multiple assessment tools combined for the same construct (e.g., two PTSD scales) | ||||||
| vs_outc_merged_type | tool_switch_over_time | 3 | assessment tool changes over modeled timepoints while the construct remains the same (e.g., scale A at baseline, scale B at follow-up) | ||||||
| vs_outc_tool_origin | standardized_instrument | 1 | assessment instrument has an identity outside the current study (e.g., developed within a prior research program, large-scale study, or as a structured module); includes full versions, short forms, subscales, single items from named instruments, and slightly adapted or reduced versions. The instrument does NOT need to be commercially distributed, widely used, or formally validated to qualify as standardized | ||||||
| vs_outc_tool_origin | study_specific_measure | 2 | measure/item/index was created for the current study | ||||||
| vs_outc_tool_origin | mixed | 3 | merged outcome contains both standardized and study-specific measurement bases | ||||||
