Impact Factor 2.067 | CiteScore 3.2
More on impact ›

Original Research ARTICLE

Front. Psychol., 31 May 2019 |

Factorial Invariance of the 10-Item Connor-Davidson Resilience Scale Across Gender Among Chinese Elders

Meng Meng1,2, Jiayue He3, Yuzhu Guan1,2, Haofei Zhao3, Jinyao Yi3, Shuqiao Yao3* and Lezhi Li1,2*
  • 1Department of Nursing, Second Xiangya Hospital, Central South University, Changsha, China
  • 2Xiangya School of Nursing, Central South University, Changsha, China
  • 3Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China

Resilience plays an important role in the health of the elderly. The 10-item Connor-Davidson Resilience Scale (CD-RISC-10) is widely used to evaluate resilience, but its factorial invariance has not been evaluated in the Chinese elders. In the current study, 1,238 Chinese elders aged 60 years and above completed the Chinese CD-RISC-10, yielding good reliability (Cronbach’s α = 0.936, Omega coefficient = 0.83, and test-retest reliability coefficient of 0.665 after 6 months). Confirmatory factor analysis indicated that a single-factor model fitted our CD-RISC-10 data well, both for the total sample and for each gender group. Furthermore, factorial invariance across genders was supported by multigroup confirmatory factor analysis. Finally, the current study revealed greater resilience levels in Chinese elderly women than in Chinese elderly men.


Given China’s very large population and the recent sharp increase in the aging population in China, the physical and mental health of the elderly are attracting substantial attention in China. Defined as an individual’s ability to cope with adversity and bounce back from difficult experiences (Campbell-Sills and Stein, 2007), resilience has become an important consideration of geriatric mental health because it is key to enabling elderly persons to overcome adverse psychological problems (Connor and Davidson, 2003; Guo et al., 2015). Resilience, which has been shown to not only help reduce morbidity risk, alleviate loneliness, enhance stress-coping ability, and support the maintenance of cognitive and physical functioning of the elderly, may also relieve depressive symptoms associated with stressful life events (Hildon et al., 2010; Lou and Ng, 2012; Fontes and Neri, 2015; Lim et al., 2015; Niu et al., 2016). Thus, it is of great public health significance to study the resilience of the elderly in China.

The 25-item Connor-Davidson Resilience Scale (CD-RISC), which was developed by Connor and Davidson in 2003 to quantify resilience and assess treatment response, is a widely used clinical tool with very good psychometric ratings (Connor and Davidson, 2003; Windle et al., 2011). However, the factor structure of the CD-RISC differs across countries, living environments, and age bands. In a study of 577 healthy adult American participants, exploratory factor analysis revealed a five-factor CD-RISC structure (personal competence, high standards, and tenacity; trust in one’s instincts, tolerance of negative affect, and strengthening effects of stress; positive acceptance of change and secure relationships; control; and spiritual influences) (Connor and Davidson, 2003). Meanwhile, in a study of 1,395 community-dwelling American women over 60 years of age, a four-factor structure (personal control and goal orientation; adaptation and tolerance for negative affect; leadership and trust in instincts; and spiritual coping) was obtained (Lamond et al., 2009). In a study of 783 Spanish entrepreneurs operating in the business services sector, a three-factor structure (hardiness; resourcefulness; and optimism) was obtained (Manzano-García and Ayala Calvo, 2013). Likewise, in a study of 246 Turkish earthquake survivors, a three-factor structure (tenacity and personal competence; tolerance of negative affect; and tendency toward spirituality) was observed (Karairmak, 2010). A three-factor structure (tenacity; strength; and optimism) was also obtained with the Chinese version of the CD-RISC in a study of 560 Chinese residents of Guangdong and Beijing (Yu and Zhang, 2007).

Given the various factor structures reported for the 25-item CD-RISC, Campbell-Sills and Stein revised the scale in 2007 into a refined 10-item single-dimension CD-RISC (CD-RISC-10). In a cohort of 1,743 undergraduates, exploratory and confirmatory analyses demonstrated good internal reliability (Cronbach’s α = 0.85) and construct validity of the CD-RISC-10 (Campbell-Sills and Stein, 2007), indicating that the abridged CD-RISC is a reliable, valid assessment tool, in addition to being easier to apply clinically, relative to the 25-item CD-RISC, owing to its simplicity. The CD-RISC-10 has been translated into several languages, and it has been tested on various populations including Canadian college women, Danish hospital staff, Khmer adolescents, American competitive long-distance runners, French women, Brazilian young people, Spanish nonprofessional caregivers, and low-income African American men, among others (Lopes and Martins, 2011; Scali et al., 2012; Coates et al., 2013; Duong and Hurst, 2016; Gonzalez et al., 2016; Blanco et al., 2017; Lauridsen et al., 2017; Hébert et al., 2018). The Chinese version of the CD-RISC-10 has been reported to be useful for assessing mental resilience quickly in a cohort of Chinese parents of children with cancer (Ye et al., 2017) and was also reported to have good psychometric properties in a study of Wenchuan earthquake survivors (Wang et al., 2010). In addition to having been widely applied, the CD-RISC-10 has also been shown to have good internal consistency, with Cronbach’s α values in the range of 0.81–0.95 (Wang et al., 2010; Aloba et al., 2016; Shin et al., 2018).

Some researchers have reported that exposure to trauma in females is associated with a reduced resilience score (Stratta et al., 2013; Hirani et al., 2016). However, due to the lack of data on measurement invariance across genders, we cannot infer the causes of the differences observed because group comparisons require equivalent measurement. To the best of our knowledge, no confirmatory factor analysis study has tested the measurement invariance of the CD-RISC-10 across gender groups in an elderly Chinese cohort.

The current study had four aims. First, we tested the reliability of the CD-RISC-10 in an elderly Chinese study cohort. Second, we examined the model fit of the CD-RISC-10 in a community sample of Chinese elderly. Third, we examined the factorial invariance of the CD-RISC-10 across gender groups. Finally, upon establishment of adequate factorial invariance, we planned to compare resilience scores between men and women.

Materials and Methods

Participants and Procedure

This study was conducted in the communities of Beijing, Shandong and Hunan provinces of mainland China. The questionnaires were distributed by well-trained staff to elderly residents aged 60 years and above who came to the community activity center. The staff provided help for participants who had visual impairment, could not read or fill out the questionnaire themselves. The inclusion criteria of this study were: 60 years old and above; agree to participate in this study. The exclusion criteria included: diagnosed with severe mental illness; insufficient cognitive ability to understand the questionnaire; unable to understand mandarin and therefore unable to complete the questionnaire; cannot fill out the questionnaire due to other reasons. A total of 1,284 participants returned questionnaires, but 46 failed to respond to all 10 items. Thus, the final sample included 1,238 (96.4% completion rate). The mean age of the final sample was 71.64 years [standard deviation (SD) = 7.77]. The final sample consisted of 525 men (42%), with a mean age of 72.47 years (SD = 8.09) and 713 women (58%) with a mean age of 71.02 years (SD = 7.46). The study was approved by the ethics committee of Second Xiangya Hospital, Central South University. All participants provided written informed consent at the time of enrollment.


The CD-RISC-10, which consists of 10 items, was derived from the original 25-item CD-RISC. It assesses an individual’s mental resilience during the past month, such as “Adapt to change” (see the items in the Appendix). Respondents rate each item on a 5-point Likert scale from 0 (not true at all) to 4 (true nearly all the time). The item ratings are summed to produce a scale score ranging from 0 to 40, with higher values implying a greater resilience capability. The Chinese version of the CD-RISC-10 employed in this study has been confirmed to have good internal consistency (Cronbach’s α = 0.851–0.910) and excellent structure validity in Chinese populations (Wang et al., 2010; Ye et al., 2016, 2017).

Data Analysis

Mean values are reported with standard deviations (SDs). Data management was carried out in SPSS 18.0 and confirmatory factor analysis was conducted in Mplus 6.11. Kolmogorov-Smirnov normality testing on item scores showed significant deviation from the normal distribution (all p < 0.001, see Table 1) indicating that the data were not normally distributed. Based on the above, the robust maximum likelihood estimator was chosen for data analysis because it, when applied with a mean-adjusted Chi-square (Satorra-Bentler χ2) statistic and robust standard errors, yields an unbiased goodness-of-fit index that is robust to nonparametric data (Satorra and Bentler, 2001; Wang et al., 2013). The data analysis was conducted in three steps, as delineated below:


Table 1. Descriptive statistics for each item of the Chinese CD-RISC-10.

In the first step, reliability analysis was conducted. We used Cronbach’s α value, McDonald’s Omega coefficient, and test-retest reliability coefficient to determine the reliability of the CD-RISC-10.

In the second step, we used confirmatory factor analysis to test the goodness of fit of the single factor structure of the Chinese CD-RISC-10 in the total sample and each gender group. Chi-square (χ2) and standardized root mean squared residual (SRMR) tests were employed as absolute fit indexes. Because the χ2 test can be affected by sample size, especially in large samples, we also applied the root mean square error of approximation (RMSEA) as parsimony fit index and applied the Comparative Fit Index (CFI) and Tucker-Lewis Index (TLI) as comparative indexes. The following previously established criteria of acceptability were used: SRMR ≤0.08, RMSEA ≤0.08, CFI ≥ 0.90, and TLI ≥ 0.90 (Hu and Bentler, 1999; Brown, 2006; He et al., 2019).

In the third step, multigroup confirmatory factor analysis was undertaken to evaluate the factorial invariance of the CD-RISC-10 across gender groups. The invariance tests were completed for configural invariance (Model 1), metric invariance (Model 2), scalar invariance (Model 3), strict invariance (Model 4), factor variance/covariance invariance (Model 5), and factor latent mean invariance (Model 6) (He et al., 2018). First, we conducted configural invariance tests (without parameter constraints) to evaluate the latent variable structure across gender groups, the results of which served as a baseline model for subsequent tests. Then, metric invariance was tested based on the configural invariance results with factor loading equivalence constraints imposed to ensure similarity of the observed indicators and underlying traits across gender groups. Next, we applied a scalar invariance test in which we constrained both factor loadings and intercepts of variables equally across genders to test for an intergroup difference in the measured intercept based on the result of last step. Subsequently, strict invariance testing was conducted with factor loading, variable intercepts, error variance constraints equally set. Following the measurement equivalence testing, factor variance/covariance invariance and factor latent mean invariance tests were conducted to evaluate the structural invariance of the Chinese CD-RISC-10. We employed the Bayesian information criterion (BIC) and TLI and CFI changes to evaluate invariance across consecutive models. In accordance with published recommendations (Raftery, 1995; Cheung and Rensvold, 2002; Wu et al., 2012; Xiao et al., 2014), a ΔTLI ≤0.010 and a ΔCFI ≤0.010 with a smaller BIC value were considered evidence of invariance. Finally, a nonparametric test, Mann-Whitney U test, was used to compare CD-RISC-10 scores across the gender groups. Because the Kolmogorov-Smirnov normality test showed that the scores of two samples do not conform to the normal distribution, and therefore we conservatively considered that whether the scores of CD-RISC-10 in Chinese elderly men and women conform to the normal distribution remained uncertain.


Descriptive Data and Analyses of Reliability of the 10-Item Connor-Davidson Resilience Scale

Descriptive statistics, including mean scores with SDs, the skewness, and the kurtosis, for each item of the CD-RISC-10 are reported in Table 1. The mean scores (SDs) for item 1 through 10 were 2.81 (0.99), 2.92 (0.93), 2.52 (1.04), 2.93 (0.92), 2.87 (0.92), 2.76 (0.96), 2.76 (0.95), 2.78 (1.06), 2.99 (0.94), and 2.87 (0.95). And the skewness values were −0.74, −0.73, −0.40, −0.78, −0.80, −0.79, −0.67, −0.91, −0.93, and − 0.83 for item 1 to 10 while the kurtosis values were 0.27, 0.35, −0.40, 0.53, 0.63, 0.51, 0.24, 0.39, 0.73, and 0.59. According to the skewness and kurtosis values of each item, it can be seen that the mean score of each item presented a negative skewness distribution, and the kurtosis value was close to 0. Overall, the mean (SD) total CD-RISC-10 scores were 27.60 (8.09) for males and 28.68 (7.39) for females. In our study, the Cronbach’s α of the CD-RISC-10 was 0.936, the McDonald’s Omega coefficient was 0.83, and the test-retest reliability coefficient was 0.665 after 6 months (N = 124).

Confirmatory Factor Analysis

As reported in Table 2, we obtained a good fit index for the full sample, the male group, and the female group. Briefly, all TLI, CFI, RMSEA, and SRMR values were > 0.90, >0.90, <0.08, and < 0.08, respectively, indicating that the single-factor model fit the data well in the total sample and each gender group. These results confirmed that the single-factor model can be used as a baseline model for subsequent tests.


Table 2. Goodness of fit indexes for the CD-RISC-10 model.

Factorial Invariance

The factorial invariance test results, including Satorra-Bentler scaled χ2 values with degrees of freedom, TLI values and inter-model differences, CFI values and inter-model differences, and BIC values are reported in Table 3. The fit indexes of each successive model from Model 1 to Model 4 met the satisfactory fit criteria. That is, between successive models (1 to 2, 2 to 3, and 3 to 4), the ∆TLIs were all <0.010 and the ∆CFIs were all <0.010. The successive decreases in BIC values were 57.891 from Model 1 to Model 2, 53.561 from Model 2 to Model 3, and 60.839 from Model 3 to Model 4. Because these four steps of measurement invariance were performed in sequence, we drew the conclusion that the assumption of measurement invariance across gender was established.


Table 3. Fit indices for invariance tests of the CD-RISC-10.

The TLI and CFI values were unchanged from Model 4 to Model 5 (variance/covariance equivalent), with only a 1.816 decrease in BIC. Similarly, from Model 5 to Model 6 (factor latent mean invariance), there was no change in TLI and only a negligible change in CFI, with a BIC decrease of only 0.993. Hence, the ∆TLI and ∆CFI were < 0.010 in both comparisons, with BIC values smaller than in the factor variance/covariance equivalent model. Therefore, we concluded that the factorial invariance across gender among Chinese elders was established.

Gender Difference

The female group had a higher total CD-RISC-10 score, at 28.68, than the male group, at 27.60 (Z = −2.373, p = 0.018). On items 4, 6, 8, and 9, the female group had significantly higher scores than the male group (all p < 0.05). On items 1, 2, 3, 5, 7, and 10, there was no significant difference in scores between the two groups (all p > 0.05). The mean rank and p of each item and the comparison between the two gender groups are given in Table 4.


Table 4. Comparisons of each item of CD-RISC-10 between male and female.


The main aim of our study was to probe the psychometric properties of the Chinese version of the CD-RISC-10 in an elderly Chinese population. The Cronbach’s α value and the test-retest reliability coefficient indicated that the single-factor Chinese CD-RISC-10 has good internal consistency. The present findings indicate that the CD-RISC-10 is a stable and consistent measurement.

Subsequent multiple group confirmatory analysis performed to estimate the measurement equivalence of the scale across genders showed that the model fitted well in the full sample and in each gender group. Importantly, the results supported configural invariance, metric invariance, scalar invariance, strict invariance, factor variance/covariance invariance, and factor latent mean invariance across genders, confirming full equivalence of the scale across genders. Configural invariance indicates that the pattern of fixed and free parameters was equivalent across genders, with a similar psychological structure being reflected by the same variables in men and women. Subsequent establishment of metric invariance revealed that the relative factor loadings of the items were also equivalent between the two gender groups, indicating that individuals with the same scores on latent variables also scored equally on observation items. In terms of achieving scalar invariance, it was demonstrated that the observed variable intercepts and CD-RISC-10 reference points were the same for men and women. The attainment of strict invariance suggests that differences in latent variable variation could reflect the observed variable variation differences of the scale. Factor variance/covariance invariance and factor latent mean invariance (a.k.a. structural invariance) were established in the current study, indicating that the observed variables and latent variables possessed the same relationship across the two groups. Consequently, we have concluded that the Chinese version of the CD-RISC-10 estimates latent resilience equivalently across genders and thus can be used to compare mental resilience between elderly men and women in China.

The present finding of a significantly higher CD-RISC-10 total score in women than in men suggests that elderly Chinese women may be generally more resilient than elderly Chinese men, consistent with a previous study in China (Lei et al., 2008). However, in other countries, some studies have reported higher resilience scores for men than women (Stratta et al., 2013). It has been hypothesized that males may be better adapted to traumatic events than women, thus resulting in a “protective model” of resilience (Luthar and Zelazo, 2003). This inconsistency between findings obtained in China and findings obtained elsewhere may be due to social and cultural differences. In China, women are encouraged to seek help, which may yield a stronger social support system for dealing with the pressures of life (Lei et al., 2008). Our findings suggest that elderly women in China may be able to deal with negative emotions, such as stress, more easily and with a faster stress recovery than men in China.


The results of this study indicate that the Chinese version of the CD-RISC-10 has good reliability and meets resilience measurement standards well when administered to both elderly men and elderly women living in Chinese communities. Thus, it can be applied as a reliable tool for testing mental resilience and performing inter-gender comparisons of mental resilience. To the best of our knowledge, this study was the first study to assess the factorial invariance of the CD-RISC-10 in elderly Chinese men and women. Our findings confirmed that factorial invariance of the CD-RISC-10 had been established across gender among Chinese elders. Finally, the present results provide evidence of Chinese elderly women having better mental resilience than Chinese elderly men, and further demonstrated that this gender difference could not be attributed to a gender-dependent scale variance, but rather reflect a true gender difference.

Data Availability

The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.

Author Contributions

SY conceived and designed the study. LL and JY supervised the study. MM performed the analysis and wrote paper. JH contributed to the analysis. YG and HZ collected the data. All co-authors revised and approved the version to be published.


This research was supported by grants from the National Science and Technology Project for Professional Basic Research (grant number 2015FY111600) and the National Natural Science Foundation (grant number: 81370034).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


Aloba, O., Olabisi, O., and Aloba, T. (2016). The 10-item Connor-Davidson resilience scale: factorial structure, reliability, validity, and correlates among student nurses in southwestern Nigeria. J. Am. Psychiatr. Nurses Assoc. 22, 43–51. doi: 10.1177/1078390316629971

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanco, V., Guisande, M. A., Sánchez, M. T., Otero, P., and Vázquez, F. L. (2017). Spanish validation of the 10-item Connor-Davidson Resilience Scale (CD-RISC 10) with non-professional caregivers. Aging Ment. Health 23, 183–188. doi: 10.1080/13607863.2017.1399340

CrossRef Full Text | Google Scholar

Brown, T. A. (2006). Confirmatory factor analysis: For applied research. New York: Guilford Pubn.

Google Scholar

Campbell-Sills, L., and Stein, M. B. (2007). Psychometric analysis and refinement of the Connor-Davidson resilience scale (CD-RISC): validation of a 10-item measure of resilience. J. Trauma. Stress. 20, 1019–1028. doi: 10.1002/jts.20271

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheung, G. W., and Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Struct. Equ. Model. 9, 233–255. doi: 10.1207/S15328007SEM0902_5

CrossRef Full Text | Google Scholar

Coates, E. E., Vicky, P., and Dedrick, R. F. (2013). Psychometric properties of the Connor-Davidson resilience scale 10 among low-income, African American men. Psychol. Assess. 25, 1349–1354. doi: 10.1037/a0033434

PubMed Abstract | CrossRef Full Text | Google Scholar

Connor, K. M., and Davidson, J. R. T. (2003). Development of a new resilience scale: the Connor-Davidson resilience scale (CD-RISC). Depress. Anxiety 18, 76–82. doi: 10.1002/da.10113

PubMed Abstract | CrossRef Full Text | Google Scholar

Duong, C., and Hurst, C. P. (2016). Reliability and validity of the Khmer version of the 10-item Connor-Davidson Resilience Scale (Kh-CD-RISC10) in Cambodian adolescents. BMC. Res. Notes 9:297. doi: 10.1186/s13104-016-2099-y

CrossRef Full Text | Google Scholar

Fontes, A. P., and Neri, A. L. (2015). Resilience in aging: literature review. Cien. Saude Colet. 20, 1475–1495. doi: 10.1590/1413-81232015205.00502014

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalez, S. P., Moore, E. W. G., Newton, M., and Galli, N. A. (2016). Validity and reliability of the Connor-Davidson Resilience Scale (CD-RISC) in competitive sport. Psychol. Sport Exerc. 23, 31–39. doi: 10.1016/j.psychsport.2015.10.005

CrossRef Full Text | Google Scholar

Guo, L., Guo, Q., Han, G., Lin, Z., and Liu, K. (2015). Mediation effect of mental resilience between psychological stress and mental health in the community-dwelling elderly. J. Nurs. Sci. 30, 60–63. doi: 10.3870/hlxzz.2015.03.060

CrossRef Full Text | Google Scholar

He, J., Zhong, X., Gao, Y., Xiong, G., and Yao, S. (2019). Psychometric properties of the Chinese version of the Childhood Trauma Questionnaire-Short Form (CTQ-SF) among undergraduates and depressive patients. Child Abuse Negl. 91, 102–108. doi: 10.1016/j.chiabu.2019.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

He, J., Zhong, X., and Yao, S. (2018). Factor structure of the Geriatric Depression Scale and measurement invariance across gender among Chinese elders. J. Affect. Disord. 238, 136–141. doi: 10.1016/j.jad.2018.04.100

PubMed Abstract | CrossRef Full Text | Google Scholar

Hébert, M., Parent, N., Simard, C., and Laverdière, A. (2018). Validation of the French Canadian version of the brief Connor–Davidson Resilience Scale (CD-RISC 10). Can. J. Behav. Sci. 50, 9–16. doi: 10.1037/cbs0000092

CrossRef Full Text | Google Scholar

Hildon, Z., Montgomery, S. M., Blane, D., Wiggins, R. D., and Netuveli, G. (2010). Examining resilience of quality of life in the face of health-related and psychosocial adversity at older ages: what is "right" about the way we age? The Gerontologist 50, 36–47. doi: 10.1093/geront/gnp067

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirani, S., Lasiuk, G., and Hegadoren, K. (2016). The intersection of gender and resilience. J. Psychiatr. Ment. Health Nurs. 23, 455–467. doi: 10.1111/jpm.12313

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, L., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. 6, 1–55. doi: 10.1080/10705519909540118

CrossRef Full Text | Google Scholar

Karairmak, O. (2010). Establishing the psychometric qualities of the Connor-Davidson Resilience Scale (CD-RISC) using exploratory and confirmatory factor analysis in a trauma survivor sample. Psychiatry Res. 179, 350–356. doi: 10.1016/j.psychres.2009.09.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Lamond, A. J., Depp, C. A., Allison, M., Langer, R., Reichstadt, J., Moore, D. J., et al. (2009). Measurement and predictors of resilience among community-dwelling older women. J. Psychiatr. Res. 43, 148–154. doi: 10.1016/j.jpsychires.2008.03.007

CrossRef Full Text | Google Scholar

Lauridsen, L. S., Willert, M. V., Eskildsen, A., and Christiansen, D. H. (2017). Cross-cultural adaptation and validation of the Danish 10-item Connor-Davidson Resilience Scale among hospital staff. Scand. J. Public Health 45, 1–4. doi: 10.1177/1403494817721056

CrossRef Full Text | Google Scholar

Lei, W., Chen, X., and Chen, J. (2008). Research on resilience of college students. Chin. J. Health Psychol. 16, 155–157. doi: 10.3969/j.issn.1005-1252.2008.02.016

CrossRef Full Text | Google Scholar

Lim, M. L., Lim, D., Gwee, X., Nyunt, M. S. Z., Kumar, R., and Ng, T. P. (2015). Resilience, stressful life events, and depressive symptomatology among older Chinese adults. Aging Ment. Health 19, 1005–1014. doi: 10.1080/13607863.2014.995591

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopes, V. R., and Martins, M. D. C. F. (2011). Factorial validation and adaptation of the Connor-Davidson Resilience Scale (Cd-Risc-10) for Brazilians. Revista Psicolog. 11, 36–50.

Google Scholar

Lou, V. W. Q., and Ng, J. W. (2012). Chinese older adults' resilience to the loneliness of living alone: a qualitative study. Aging Ment. Health 16, 1039–1046. doi: 10.1080/13607863.2012.692764

PubMed Abstract | CrossRef Full Text | Google Scholar

Luthar, S. S., and Zelazo, L. B. (2003). “Research on resilience: an integrative review” in Resilience and vulnerability. ed. S. S. Luthar (Cambridge, UK: Cambridge University Press), 510–550.

Google Scholar

Manzano-García, G., and Ayala Calvo, J. C. (2013). Psychometric properties of Connor-Davidson Resilience Scale in a Spanish sample of entrepreneurs. Psicothema 25, 245–251. doi: 10.7334/psicothema2012.183

PubMed Abstract | CrossRef Full Text | Google Scholar

Niu, G., Sun, X., Tian, Y., Fan, C., and Zhou, Z. (2016). Resilience moderates the relationship between ostracism and depression among Chinese adolescents. Pers. Individ. Differ. 99, 77–80. doi: 10.1016/j.paid.2016.04.059

CrossRef Full Text | Google Scholar

Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology 25, 111–163.

Google Scholar

Satorra, A., and Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika 66, 507–514. doi: 10.1007/BF02296192

CrossRef Full Text | Google Scholar

Scali, J., Gandubert, C., Ritchie, K., Soulier, M., Ancelin, M. L., and Chaudieu, I. (2012). Measuring resilience in adult women using the 10-items Connor-Davidson Resilience Scale (CD-RISC). Role of trauma exposure and anxiety disorders. PLoS One 7:e39879. doi: 10.1371/journal.pone.0039879

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, G. S., Choi, K. S., Jeong, K. S., Min, Y. S., Ahn, Y. S., and Kim, M. G. (2018). Psychometric properties of the 10-item Conner-Davidson resilience scale on toxic chemical-exposed workers in South Korea. Ann. Occup. Environ. Med. 30, 52–58. doi: 10.1186/s40557-018-0265-5

CrossRef Full Text | Google Scholar

Stratta, P., Capanna, C., Patriarca, S., de Cataldo, S., Bonanni, R. L., Riccardi, I., et al. (2013). Resilience in adolescence: gender differences two years after the earthquake of L’Aquila. Pers. Individ. Differ. 54, 327–331. doi: 10.1016/j.paid.2012.09.016

CrossRef Full Text | Google Scholar

Wang, M., Armour, C., Li, X., Dai, X., Zhu, X., and Yao, S. (2013). The factorial invariance across gender of three well-supported models: further evidence for a five-factor model of posttraumatic stress disorder. J. Nerv. Ment. Dis. 201, 145–152. doi: 10.1097/NMD.0b013e31827f627d

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Shi, Z., Zhang, Y., and Zhang, Z. (2010). Psychometric properties of the 10-item Connor-Davidson Resilience Scale in Chinese earthquake victims. Psychiatry Clin. Neurosci. 64, 499–504. doi: 10.1111/j.1440-1819.2010.02130.x

CrossRef Full Text | Google Scholar

Windle, G., Bennett, K. M., and Noyes, J. (2011). A methodological review of resilience measurement scales. Health Qual. Life Outcomes 9:8. doi: 10.1186/1477-7525-9-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, W., Lu, Y., Tan, F., Yao, S., Steca, P., Abela, J. R. Z., et al. (2012). Assessing measurement invariance of the children's depression inventory in Chinese and Italian primary school student samples. Assessment 19, 506–516. doi: 10.1177/1073191111421286

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, J., Kong, T., Mcwhinnie, C. M., Yao, S., Zhu, X., Zhao, S., et al. (2014). The tripartite model for assessing symptoms of depression and anxiety: psychometric properties of the Chinese Version of the Mood and Anxiety Symptoms Questionnaire in patients with essential hypertension. J. Cardiovasc. Nurs. 30, 522–528. doi: 10.1097/JCN.0000000000000193

CrossRef Full Text | Google Scholar

Ye, Z. J., Qiu, H. Z., Li, P. F., Chen, P., Liang, M. Z., Liu, M. L., et al. (2017). Validation and application of the Chinese version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) among parents of children with cancer diagnosis. Eur. J. Oncol. Nurs. 27, 36–44. doi: 10.1016/j.ejon.2017.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ye, Z., Ruan, X., Zeng, Z., Xie, Q., Cheng, M., Peng, C., et al. (2016). Psychometric Properties of 10-item Connor-davidson Resilience Scale among Nursing Students. J. Nurs. 23, 9–13. doi: 10.16460/j.issn1008-9969.2016.21.009

CrossRef Full Text | Google Scholar

Yu, X., and Zhang, J. (2007). Factor analysis and psychometric evaluation of the Connor-Davidson Resilience Scale (CD-RISC) with Chinese people. Soc. Behav. Personal. Int. J. 35, 19–30. doi: 10.2224/sbp.2007.35.1.19

CrossRef Full Text | Google Scholar


Items of the CD-RISC-10 (English version)

1. Adapt to change

2. Deal with whatever comes my way

3. See humorous side of things

4. Stress makes me stronger

5. Bounce back after illness or injury

6. Believe I can achieve goals despite obstacles

7. Under pressure I stay focused

8. Not easily discouraged by failure

9. Think of myself as a strong person when facing challenges

10. Able to handle unpleasant feelings

Keywords: factorial invariance, resilience, aged, factor analysis, reliability

Citation: Meng M, He J, Guan Y, Zhao H, Yi J, Yao S and Li L (2019) Factorial Invariance of the 10-Item Connor-Davidson Resilience Scale Across Gender Among Chinese Elders. Front. Psychol. 10:1237. doi: 10.3389/fpsyg.2019.01237

Received: 18 February 2019; Accepted: 10 May 2019;
Published: 31 May 2019.

Edited by:

Elisa Pedroli, Istituto Auxologico Italiano (IRCCS), Italy

Reviewed by:

José Manuel García-Fernádez, University of Alicante, Spain
João P. Marôco, Higher Institute of Applied Psychology (ISPA), Portugal

Copyright © 2019 Meng, He, Guan, Zhao, Yi, Yao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shuqiao Yao,; Lezhi Li,

These authors have contributed equally to this work and are co-first authors