ABSTRACT
PURPOSE: This study aimed to assess the factor structure of the Persian version of posttraumatic growth inventory (P-PTGI). METHODS: Participants included 272 Iranian people of Azari ethnicity (111 women and 161 men), aged between 21 and 91 years (mean 52.65 years), who were diagnosed with cancer and were referred to the oncology department of the university hospital. The P-PTGI was assessed to determine the construct validity, using various indices of confirmatory factor analysis and standardized lambda coefficient, followed by further assessment of the discriminant and convergent validities by using the structural equation model. LISREL 8.8 for Windows and SPSS were used for data analysis. RESULTS: The calculated values of comparative fit index, incremental fit index, normed fit index, and non-normed fit index > .90 and the values of standardized root-mean-square residual < .08 indicate an acceptable fit for the original PTGI. Considering that the values of average variance extracted (.52–.74) were greater than the square of correlation coefficients between the five dimensions of P-PTGI, discriminant validity was approved. Convergent validity was confirmed through a high value of standardized lambda coefficient (.52–.92) between the items and their related factors. CONCLUSIONS: This study revealed that P-PTGI has an acceptable validity and reliability for posttraumatic growth assessment in Iranian cancer patients and its factor structure is similar to that of the original form developed by Tedeschi and Calhoun.
Subject(s)
Female , Humans , Reproducibility of Results , Statistics as TopicABSTRACT
Menorrhagia is one of the most common gynecological problem and leading causes of poor quality of life and iron deficiency anemia in women of reproductive age. Research in gynecological field relies heavily on repeated measure designs
Repeated measure studies are helpful in understanding how factors of interest change over time
Our goal is to apply statistical methods which are appropriate for analyzing repeated measure data such as gynecological data. Three statistical methods were performed by data collection from 100 patients with menorrhagia
One-hundred patients were randomly assigned to two groups, i.e. intervention group [Urtica Dioica and mefenamic acid] and control group [placebo and mefenamic acid] with an equal size of 50. In this study, generalized estimating equations [GEE] and mixed effects models [MEM] were used for analyzing menorrhagia data to determine the effect of hydroalcoholic extract of Urtica Dioica on Menorrhagia. Finally, these methods are compared to the conventional repeated measures ANOVA [RM-ANOVA]
Based on the results, the three methods are found to be similar in terms of statistical estimation, the amount of bleeding before and after treatment between and within groups was compared. Results showed the average amount of bleeding was reduced significantly [P=0/001]
The average menorrhagia score in the third month [second cycles after intervention] were 91.38 [71.432] and 149.40 [127.823] in Urtica Dioica and control groups, respectively. The difference between the two groups was statistically significant [p =0.036]
Because their advantages, GEE and MEM should be strongly considered for the analysis of repeated measure data. In particular, GEE should be utilized to explore overall average effects
When in addition to overall average effects, subject-specific effects are of primary interest, MEM should be utilized. With respect to these methods, it seems the extract of Urtica Dioica can be effective in reducing the amount of menstrual bleeding in women of reproductive age with Menorrhagia