**A) Context & Measures (*Sections 7.1 - 7.2*)** - **Data**: 01) **Raw data** - *CJ_00c raw CJ data Writing.RData* contains raw data of writing assessment - *length data Writing.csv* contains raw data on the length of the texts included in the writing assessment - *Overview of 'CJ_00c raw CJ data Writing.RData'.pdf* describes the variables in the raw data file - *Overview of length data Writing.csv '.pdf* describes the variables in the raw data on the length of the texts 02) **Data for analysis** - *01A WritingAnalysis12.RData* contains data used for analysis - *Overview of '01A WritingAnalysis12.RData'.pdf* describes the variables in the data for analysis - **Scripts** 01) **Preparation** includes the scripts that were used to - perform a general check (*01P Writing_gen_check.R*) - operationalize task exposure (*02P Writing_task_exp.R*) - estimate the relative quality of the objects (*03P Writing_est_qual.R*) - operationalize the three pair characteristics (*04P Writing_info_char.R*) - operationalize task difficulty (*05P Writing_task_dependent.R*) 02) **Outliers, distribution and subsetting** includes the scripts that were used to - check on outliers with regard to judgement time (*01ODS Writing_outliers.R*) - identify the distribution of judgement time (*02ODS Writing_JT_distribution.R*) - prepare the data for analysis (*03ODS Writing_data_prep.R*) 03) **Context & measures** includes the scripts that were used to - calculate the descriptive statistics reported in sections 7.1 and 7.2 (*01CM Writing_context_measures.R*) - create Figure 7.1 on the correlation during the assessment (*02CM Writing_plot_cor_dependents.R*) ---------- **B) Analyses** - **Judgement time** includes the scripts that were used to - model hypothesis 1 and select the best model(s) (*01A Writing_JT_H1.R*) - model hypothesis 2 and select the best model(s) (*02A Writing_JT_H2.R*) - model hypothesis 3 and select the best model(s) (*03A Writing_JT_H3.R*) - model hypothesis 4 and select the best model(s) (*04A Writing_JT_H4.R*) - model combinations of hypotheses 2-4 and select the best model(s) (*05A Writing_JT_H234.R*) - **Perceived task difficulty** includes the scripts that were used to - model hypothesis 1 and select the best model(s) (*01A Writing_PTD_H1.R*) - model hypothesis 2 and select the best model(s) (*02A Writing_PTD_H2.R*) - model hypothesis 3 and select the best model(s) (*03A Writing_PTD_H3.R*) - model hypothesis 4 and select the best model(s) (*04A Writing_PTD_H4.R*) - model combinations of hypotheses 2-4 and select the best model(s) (*05A Writing_PTD_H234.R*) - **Decision inaccuracy** includes the scripts that were used to - model hypothesis 1 and select the best model(s) (*01A Writing_DI_H1.R*) - model hypothesis 2 and select the best model(s) (*02A Writing_DI_H2.R*) - model hypothesis 3 and select the best model(s) (*03A Writing_DI_H3.R*) - model hypothesis 4 and select the best model(s) (*04A Writing_DI_H4.R*) - model combinations of hypotheses 2-4 and select the best model(s) (script *05A Writing_DI_H234.R*) ---------- **C) Results on *AIC* model selection (*Section 7.4*)** includes the scripts that were used to - summarize the results on *AIC* model selection (*01R Writing_summary_AIC.R*) - perform checks on multicollinearity and absolute fit of the selected models (reported in Tables 7.15 to 7.17) (*02R Dots_check_models.R*) ---------- **D) Evidence about hypotheses (*Sections 7.5 - 7.7*)** includes the scripts that were used to - create Tables 7.15 to 7.17 that summarize the parameters of the selected model(s) (*01E Dots_summary_models.R*) - create Figures 7.2, 7.3, 7.10, 7.17 and 7.18 on the relation of task exposure with the dependent variables (*02E Writing_H1_plots.R*) - create Figures 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 7.11, 7.12, 7.13, 7.14, 7.15, 7.16, 7.19, 7.20, 7.21 and 7.22 on relation of pair characteristics with the dependent variables (*02E Writing_H234_plots.R*)