Computational protocol: Coping Profiles Differentiate Psychological Adjustment in Chinese Women Newly Diagnosed With Breast Cancer

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Protocol publication

[…] G*Power 3 was used for estimation of sample size in this study. Sample size was calculated using a 1-way analysis of variance (ANOVA) test with the parameters α = 5% (2-sided), 1 − β = 95% and a medium effect size (f = 0.25). The number of groups was set as three according to the result of previous study., These calculations indicated that the smallest sample size needed for the present study was 252 participants.Analyses were performed using SPSS 18.0 and Mplus 7.1 software., Latent profile analysis (LPA) was used to identify profiles of coping based on scores of the 9 subscales of the CERQ-C and the 3 subscales of the MCMQ-C after transforming scores into standardized z-scores. LPA is a technique that uses maximum likelihood estimation to classify individuals who are similar on several observed variables, with the assumption that the patterns of values are determined by latent person profiles or groupings. LPA assigns membership on the basis of probabilities and is able to take uncertainty of membership, or error, into account. LPA is better than traditional person-oriented methods, such as cluster analysis, as it is model-based and has more rigorous criteria for identifying the number of profiles. Determination of best model fit was assessed by Akaike information criterion (AIC), Bayesian information criterion (BIC), adjusted Bayesian information criterion (adjusted BIC), the entropy criterion and Lo-Mendell-Rubin adjusted likelihood ratio test (LMRT). Lower AIC and BIC values indicate better optimal model fit. Entropy is an index that determines the accuracy of classifying individuals into different profiles or classes, with higher values indicating better class solution. Finally, P < .05 of the LMRT indicates that the “higher class” solution fits better (eg, 2-class better than 1-class). P > .05 indicates that the “lower class” solution fits better.Differences in coping strategies and psychological distress across classes were analyzed by means of ANOVA. The chi-square test and ANOVA were used to examine the associations between coping profiles and demographic and medical characteristics. Bonferroni correction was used for multiple comparison correction; η2 was used as the effect size of ANOVA. […]

Pipeline specifications

Software tools G*Power, SPSS
Application Miscellaneous
Organisms Homo sapiens
Diseases Breast Neoplasms