Data were exported from the Qualtrics software and downloaded using Statistical Package for Social Sciences Version 24.0 (IBM Corp., Armonk, NY). Missing data were treated conservatively and any participant’s data missing more than 10% of the responses on the HOOS (i.e., four or more missing responses) was removed from the data set.26 Individuals missing less than 10% (i.e., three items or less) of the items within the HOOS were replaced with the mean score of the respective item for analysis purposes.26 Participants with missing demographic data were not excluded from analysis and were left as missing values. Data were assessed for normality using z-scores, skewness, and kurtosis values. Multivariate outliers were also identified using descriptive statistics and Mahalanobis distance, the cut-off value was for 5 degrees of freedom at a p-value of 0.001, was 15.089.26,29 This methodology generated the final data set used for analysis.
Qualtrics software
Manufactured by IBM
Qualtrics is a software platform that provides tools for conducting online surveys, gathering customer feedback, and analyzing data. The core function of Qualtrics is to facilitate the creation, distribution, and analysis of customizable surveys and questionnaires.
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Lab products found in correlation
2 protocols using qualtrics software
1
Data Handling and Analysis Protocol
2
Decisional Conflict and Medical Decision-Making
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To estimate the required sample size, we conducted an a priori power analysis, following the guidance of the authors of the decisional conflict scale (DCS) that we had designated as our primary outcome measure. The power analysis was based on a power (1-β) of 0.8 and an effect size of 0.3, using a two-tailed test. The calculated minimum sample size required for each study group (parents of children aged 10–17 and young adults aged 18–26) was 82 participants.
Data for the study were collected from the decision aid platform utilized in the ‘Medical Decision-Making Research Lab’ and the Qualtrics™ software, and the analysis was performed using IBM SPSS version 29. Qualitative data were presented as frequencies and percentages. The Shapiro–Wilk test was used to assess the normality of the dataset. Quantitative variables were presented as means and standard deviations, and a paired-samples t-test was used for analysis. The internal consistencies of the questionnaires were assessed through Cronbach’s alpha coefficient. The effect size was measured using Cohen’s d. Statistical significance was set at p < 0.05.
Data for the study were collected from the decision aid platform utilized in the ‘Medical Decision-Making Research Lab’ and the Qualtrics™ software, and the analysis was performed using IBM SPSS version 29. Qualitative data were presented as frequencies and percentages. The Shapiro–Wilk test was used to assess the normality of the dataset. Quantitative variables were presented as means and standard deviations, and a paired-samples t-test was used for analysis. The internal consistencies of the questionnaires were assessed through Cronbach’s alpha coefficient. The effect size was measured using Cohen’s d. Statistical significance was set at p < 0.05.
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