DOI: 10.57760/sciencedb.29513
title: How Does Collaboration Affect Judgment of Confidence? Evidence from Value and Experience Cues
title: 单独和协作的自信心判断：项目价值与经验的影响

description: The current study includes data from two experiments. For each experimental dataset, there are three files containing the data required for the study: judgment of confidence (JOC) values, recognition accuracy rates, and relative accuracy data. The specific process of data generation, data processing methods, processing steps, and tools used in the experiments are detailed as follows:1. Data Generation ProcessExperimental programs were developed using E-Prime 2.0. All programs were presented on a 16-inch monitor (resolution: 2240×1400 pixels; refresh rate: 60 Hz). Participants responded via computer key presses. Data collected included participants’ JOC values during the judgment phase and their key-press responses during the recognition phase.2. Data Processing Methods and StepsJOC Values: These values reflect participants’ confidence levels. They were derived by converting participants’ original judgment ratings into percentages.Recognition Accuracy Rates: This metric refers to the percentage of old items that participants successfully recognized as "old."Relative Accuracy (Kruskal–Goodman Gamma Correlation): The Kruskal–Goodman gamma correlation is a classic indicator for analyzing judgment relative accuracy. The gamma value reflects the degree of consistency between JOCs and recognition performance, with a range of -1 to +1. A positive gamma value indicates a positive correlation between JOCs and recognition performance, while a negative value indicates a negative correlation. The larger the absolute value of the gamma, the higher the consistency (and thus the higher the accuracy) between the two. For each participant, gamma values were calculated by correlating their recognition performance and JOC values across all trials under different conditions. These gamma values served as the relative accuracy indicator required for the current study.For data analysis, repeated-measures analysis of variance (ANOVA) was conducted for three dependent variables—JOC values, recognition accuracy rates, and judgment relative accuracy—with the following three within-subject factors: 2 (recognition method: individual recognition, collaborative recognition) × 3 (item value: high, medium, low) × 2 (experimental phase: before, after) 3. Tools Used in the StudyE-Prime 2.0: Used to develop experimental programs.SPSS software package: Used for data analysis.
description: The current study includes data from two experiments. For each experimental dataset, there are three files containing the data required for the study: judgment of confidence (JOC) values, recognition accuracy rates, and relative accuracy data. The specific process of data generation, data processing methods, processing steps, and tools used in the experiments are detailed as follows:1. Data Generation ProcessExperimental programs were developed using E-Prime 2.0. All programs were presented on a 16-inch monitor (resolution: 2240×1400 pixels; refresh rate: 60 Hz). Participants responded via computer key presses. Data collected included participants’ JOC values during the judgment phase and their key-press responses during the recognition phase.2. Data Processing Methods and StepsJOC Values: These values reflect participants’ confidence levels. They were derived by converting participants’ original judgment ratings into percentages.Recognition Accuracy Rates: This metric refers to the percentage of old items that participants successfully recognized as "old."Relative Accuracy (Kruskal–Goodman Gamma Correlation): The Kruskal–Goodman gamma correlation is a classic indicator for analyzing judgment relative accuracy. The gamma value reflects the degree of consistency between JOCs and recognition performance, with a range of -1 to +1. A positive gamma value indicates a positive correlation between JOCs and recognition performance, while a negative value indicates a negative correlation. The larger the absolute value of the gamma, the higher the consistency (and thus the higher the accuracy) between the two. For each participant, gamma values were calculated by correlating their recognition performance and JOC values across all trials under different conditions. These gamma values served as the relative accuracy indicator required for the current study.For data analysis, repeated-measures analysis of variance (ANOVA) was conducted for three dependent variables—JOC values, recognition accuracy rates, and judgment relative accuracy—with the following three within-subject factors: 2 (recognition method: individual recognition, collaborative recognition) × 3 (item value: high, medium, low) × 2 (experimental phase: before, after) 3. Tools Used in the StudyE-Prime 2.0: Used to develop experimental programs.SPSS software package: Used for data analysis.