folder_name;folder_scope;file_name;file_scope;Optional;;
configure_project;Keep number of files here to a few;configure_project_settings;Load packages, set paths, set global variables, output styles;;;
configure_project;Keep number of files here to a few;configure_report_settings;Decide which variables are dependent, independent, mediating, etc. Cluster variable, stratification variable, weights, etc. Register structured information about how the data was collected;;;
configure_project;Keep number of files here to a few;configure_report_chapter_settings;Chapter by chapter rules for what to display, contain, etc;;;
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plan_design;Tasks before data collection;define_project_functions;Define functions used in this project, not from a package;1;;
plan_design;Tasks before data collection;collect_literature;Conduct literature review: document, search, retrieve, auto-code, code, diagram;;;
plan_design;Tasks before data collection;plan_sample_size;Power analyses: effect study and measures by simulations;1;https://psych252.github.io/psych252book/power-analysis.html;https://www.imachordata.com/2016/10/18/
plan_design;Tasks before data collection;plan_costs_and_resources;Estimate costs and resources needed (budgeting, etc);1;;
plan_design;Tasks before data collection;dag_diagram;Specify causal model and make a diagram of it;;;
plan_design;Tasks before data collection;plan_instruments;Develop instruments and questionnaire, document which, modifications, link to psychometric evidence. Tidyquest;;;
plan_design;Tasks before data collection;plan_preregister;Summarize plan_design and submit preregistration (w/worcs?);1;;
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prep_data;Prepare data after/during data collection;prepare_population_data;Population data from which the sampling frame is (randomly) selected. Include descriptives of how data is obtained (URL, etc). Cannot be anonymized;;;
prep_data;Prepare data after/during data collection;prepare_sampling_frame;Sampling frame from which respondent list for Qualtrics is created and response rates are compared to. Cannot be anonymized;;;
prep_data;Prepare data after/during data collection;prepare_survey_data;Collected survey data. Minimal processing. Cannot be anonymized.;;;
prep_data;Prepare data after/during data collection;prepare_joined_full_data_for_method;Joined but minimal processing before shareable anonymized data. (worcs-package?);;;
prep_data;Prepare data after/during data collection;prepare_analysis_data;Filter away non-administered, non-reached respondents.Recode (score responses, dummies, etc);;;
prep_data;Prepare data after/during data collection;prepare_publishable_data;Remaining processing to create anonymized shareable data.;;;
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describe_data;Describe data;control_data;Pre-specified checks of data;;;
describe_data;Describe data;describe_sample;Response rates, representativity given stratification, CONSORT diagrams;;;
describe_data;Describe data;plot_sample;Optional mapping of the primary sampling units (if disclosed).;1;;
describe_data;Describe data;describe_univariates;Tables and plots for frequency/percentage views of single variables.;;;
describe_data;Describe data;describe_bivariates;Tables and plots for frequency/percentage views of single variables.;;;
describe_data;Describe data;describe_missingness;In-depth investigation of missingness assumptions.;;https://cran.r-project.org/web/views/MissingData.html;
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validate_measures;Specific components of instrument validation analyses;analyze_pilots;Procedures for qualitative think-aloud protocols, early pilot data analysis;1;;
validate_measures;Specific components of instrument validation analyses;analyze_ctt;Classical test theory: item-total correlation, ;1;;
validate_measures;Specific components of instrument validation analyses;analyze_efa;Exploratory factor analysis (1-f factor solutions);1;;
validate_measures;Specific components of instrument validation analyses;analyze_cfa;CFA (2PL) models: 1 factor for all items, separate model per subscale, correlated, higher-order, bifactor, compare models, invariance, information curves, Total and Item information curves / measurement precision;1;;
validate_measures;Specific components of instrument validation analyses;analyze_irt;IRT (2PL) models: 1 factor for all items, separate model per subscale, correlated, higher-order, bifactor, compare models, DIF, information curves, Total and Item information curves / measurement precision;1;;
validate_measures;Specific components of instrument validation analyses;analyze_reliability;Conditional scale reliability, generalizability theory (marginal scale reliability, stability, equivalence, rating, etc);1;;
validate_measures;Specific components of instrument validation analyses;analyze_latent_class;Latent class analysis/categorical latent variable;1;;
validate_measures;Specific components of instrument validation analyses;analyze_item_summary;Summary of all analyses;1;;
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analyze_model_bivariates;Statistical model-based bivariates;infer_location_differences;Explore differences in means/medians across groups;1;;
analyze_model_bivariates;Statistical model-based bivariates;infer_spread_differences;Explore differences in variances/range across groups;1;;
analyze_model_bivariates;Statistical model-based bivariates;infer_manifest_correlations;Explore correlations between non-latent variables;1;;
analyze_model_bivariates;Statistical model-based bivariates;infer_vcp_and_icc;Explore within- and between-group variance;;;
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analyze_model_effects;Statistical model-based multiple reg/multivariate;match_groups;Adjust differences in variables between groups through matching;1;;
analyze_model_effects;Statistical model-based multiple reg/multivariate;estimate_multiple_regression;Run multiple linear/generalized regression models (observational designs);1;;
analyze_model_effects;Statistical model-based multiple reg/multivariate;estimate_regression_discontinuity;Run regression discontinuity design models;1;;
analyze_model_effects;Statistical model-based multiple reg/multivariate;estimate_growth_curves;Run growth curves models;1;;
analyze_model_effects;Statistical model-based multiple reg/multivariate;estimate_diff_in_diff;Run difference in differences models;1;;
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analyze_text;Quantitative and qualitative text analysis;code_transcripts;Add codes to transcripts;1;;
analyze_text;Quantitative and qualitative text analysis;process_survey_words;Split text into words, drop stopwords, organize;1;;
analyze_text;Quantitative and qualitative text analysis;graph_wordcloud;Create wordcloud;1;;
analyze_text;Quantitative and qualitative text analysis;thematic_analysis;AI-supported thematic analysis;;;
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generate_chapters;Generate SAROS report chapters;generate_introduction;Generate a standard report introduction chapter;;;
generate_chapters;Generate SAROS report chapters;generate_survey_method;Generate a standard report survey method chapter;;;
generate_chapters;Generate SAROS report chapters;generate_survey_results;Generate a standard report survey results chapter;;;
generate_chapters;Generate SAROS report chapters;generate_qualitative_results;Generate a standard report qualitative results chapter;;;
generate_chapters;Generate SAROS report chapters;generate_summary_chapter_and_abstract;Generate a standard report summary chapter and abstract using ChatGPT;;;
generate_chapters;Generate SAROS report chapters;generate_preface;Generate a standard report preface;;;
generate_chapters;Generate SAROS report chapters;generate_appendix_method_details;Summarize survey data for report based on international standard;;;
generate_chapters;Generate SAROS report chapters;generate_index;Generate a website index-page (necessary);;;
generate_chapters;Generate SAROS report chapters;generate_appendix_CRediTs;;;;
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finalize;Finalize the project;generate_slides;Create standard deck of slides drawing upon all essential pieces;1;;
finalize;Finalize the project;report_funders;Use NFR/EU/RFF template;1;;
finalize;Finalize the project;archive_project;worcs-package, NSD storage, OSF, etc;1;;
finalize;Finalize the project;cite_contributions;International CRediT standards;1;;
finalize;Finalize the project;render_and_publish_site;;;;
