Dataset: Comparing task-related stress and engagement across assessments in older adults: An exploratory study for cognitive screening

The following .csv file contains the participant data for the analyses conducted within the research study: -Comparing task-related stress and engagement across assessments in older adults: An exploratory study for cognitive screening- Data is formatted in wide format. ----------------------------------- Stress_&_Engagement_Moca_vs_Performance-based_test.csv ----------------------------------- Data dictionary: Group: - 0= MoCA group; 1= Performance-based test group Moca_Score ('Montreal Cognitive Assessment total score') Motor_Score ('Within-subject standard deviation (SD) of trial completion times across all 6 trials (in seconds) of the Performance-based test') Motor_Error ('Total number of beans dropped or missed across all 6 trials during the performance-based test') Age ('years') Sex: - 1= Female; 2= Male Education ('Total years of education') Duration_test ('Total duration of test completion (MoCA or performance-based test) in seconds'): Time_of_day ('Hour of the day the experimental session began'): All the following variables starting with "Norm_" represent normalized percentage change relative to baseline for each specific experimental phase, calculated as: % Baseline Change= ((Xi - X_baseline) /X_baseline)*100 --- Subjective and Objective stress measures --- Subjective stress marker: STAI = Spielberger State-Trait Anxiety Inventory (6 items state version) Norm_STAI_INTRO ('STAI-6 % change at Immediate-Exposure') Norm_STAI_POST1 ('STAI-6 % change at Post-test') Norm_STAI_POST2 ('STAI-6 % change at Post-30min') Objective stress marker: AA = Salivary Alpha-Amylase Norm_AA_2 ('AA % change at Immediate-Exposure') Norm_AA_3 ('AA % change at Post-5min') Norm_AA_4 ('AA % change at Post-30min') --- Tonic Electrodermal Activity measures --- Raw tonic parameters (mean, median, maximum, and standard deviation) were first transformed as log(x + 1) before they were normalized by their baseline. log_max = Logarithm-transformed maximum EDA Norm_log_max_tonic_Introduce_test ('during introduction to the task (MoCA or Performance-based test) ') Norm_log_max_tonic_Test ('during testing period') Norm_log_max_tonic_Resting ('during resting period') log_ avg = Logarithm-transformed mean EDA Norm_log_avg_tonic_Introduce_test ('during introduction to the task (MoCA or Performance-based test) ') Norm_log_avg_tonic_Test ('during testing period') Norm_log_avg_tonic_Resting ('during resting period') log_median = Logarithm-transformed median EDA Norm_log_median_tonic_Introduce_test ('during introduction to the task (MoCA or Performance-based test) ') Norm_log_median_tonic_Test ('during testing period') Norm_log_median_tonic_Resting ('during resting period') log_sd = Logarithm-transformed standard deviation EDA Norm_log_sd_tonic_Introduce_test ('during introduction to the task (MoCA or Performance-based test) ') Norm_log_sd_tonic_Test ('during testing period') Norm_log_sd_tonic_Resting ('during resting period')