| Literature DB >> 30405496 |
Mimi Xiong1,2, Fengyan Wang1,2, Ruixue Cai3.
Abstract
This paper describes the development and method of validation of the Chinese Modesty Scale (CMS). Based on Wang's dualistic model for value and instrumental modesty, our study employed a review of the literature, in-depth interviews, open-ended investigations, and feedback from experts. An initial 14-item scale for analyzing the issue of "Chinese modesty" was developed. Then we explored the dimensions and final items of this CMS using item analysis and exploratory factor analysis (EFA) with sample 1 (n = 406). After that, we conducted a confirmatory factor analysis (CFA) to replicate the factor structure obtained through EFA with a refined, independent, 12-item scale (n = 662). Results confirmed the dualistic model (for value and instrumental modesty) on which this scale was based. That is, we found that there are two kinds of "Chinese modesty": value modesty and instrumental modesty. As a valid, reliable scale, the CMS can therefore be used to measure the "Chinese modesty" of/in different age groups.Entities:
Keywords: Chinese; instrumental modesty; modesty; scale development; value modesty
Year: 2018 PMID: 30405496 PMCID: PMC6206587 DOI: 10.3389/fpsyg.2018.02014
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1The dualistic model of value and instrumental modesty (Wang et al., 2016).
FIGURE 2Process of generating initial 14 items of CMS. ①: proposed the dualistic model of modesty based on literature/preexisting scales analyses; ② and ④: formed in-depth interview outlines based on literature/preexisting scales analyses and the dualistic model respectively; ③ and ⑤: devised open-ended questionnaires based on literature/preexisting scales and the dualistic model, respectively; ⑥, ⑦, and ⑧: generated items based on the dualistic model, the results of in-depth interviews and open-ended questionnaire, respectively; ⑨: refined these 44 items to get the initial scale (14 items).
Listing of CMS items and sources.
| CMS item | Items adapted from | Reference |
|---|---|---|
| 1. Modesty can be seen as a traditional Chinese virtue that should be inherited. | Written by first author | |
| 2. I show a modesty behavior in order to make a good impression.∗ | USIS#6 | |
| 3. I appreciate modest people, and am happy to interact with them. | HS#28 | |
| 4. Being modest is helpful to one’s career development.∗ | CSMQ#24 | |
| 5. Being modest helps me achieve a sense of spiritual well-being. | HS#35 | |
| 6. Even though modesty sometimes makes me less conspicuous, I still value it as a personality trait. | MRS#12 | |
| 7. I think downplaying one’s talents and qualities and behaving modestly can be seen as a personal philosophy. | USIS#15 | |
| 8. Even though behaving modesty may cause me personal losses, I still want to be a modest person. | Written by first author | |
| 9. We should always be modest in our interactions with others, as behind an able person there are always other able people. | MRS#18 | |
| 10. Modesty is one of the self-cultivation goals that we should pursue. | USIS#12 | |
| 11. If modesty makes me more prone to misunderstandings, I will no longer behave modestly. | Written by first author | |
| 12. Rather than being modest, we should try to seek opportunities to display our talents. | MRS#4 | |
| 13. I only behave modesty if it does not have significant negative outcomes for me. | MRS#10 | |
| 14. If behaving modesty makes others think I am hypocritical, I will no longer behave modestly. | Written by first author | |
Demographic information for all samples (N = 1068).
| Sample 1 | Sample 2 | |||
|---|---|---|---|---|
| | | | | |
| Gender | ||||
| Male | 185 (45.60) | 27.23 (9.13) | 283 (42.70) | 24.01 (5.89) |
| Female | 221 (54.40) | 26.01 (8.00) | 379 (57.30) | 27.15 (7.55) |
| Type of participant | ||||
| Undergraduate | 148 (36.50) | 21.10 (3.82) | 257 (38.80) | 20.70 (2.01) |
| Male | 71 (47.97) | 21.15 (2.89) | 163 (63.42) | 20.80 (2.20) |
| Female | 77 (52.03) | 21.10 (4.53) | 94 (36.58) | 20.65 (1.66) |
| Postgraduate | 153 (37.70) | 24.70 (3.28) | 202 (30.50) | 24.30 (2.49) |
| Male | 58 (37.91) | 25.95 (4.69) | 82 (40.59) | 24.84 (3.54) |
| Female | 95 (62.09) | 23.93 (1.57) | 120 (59.41) | 24.01 (1.81) |
| Working people | 105 (25.90) | 37.00 (9.55) | 203 (30.70) | 33.80 (7.30) |
| Male | 56 (53.33) | 36.27 (10.63) | 115 (56.65) | 32.14 (6.88) |
| Female | 49 (46.67) | 37.78 (8.18) | 88 (43.35) | 34.41 (7.38) |
CMS descriptive and correlation information (N = 662).
| Item | Skew | Kurtosis | 1 | 2 | 3 | 4 | 6 | 8 | 9 | 11 | 5 | 7 | 10 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VM | 0.75** | 0.73** | 0.81** | 0.80** | 0.63** | 0.69** | 0.70** | 0.75** | ||||||
| Item 1 | –1.75 | 3.35 | 1 | |||||||||||
| Item 2 | –1.71 | 3.11 | 0.57** | 1 | ||||||||||
| Item 3 | –1.18 | 1.17 | 0.64** | 0.66** | 1 | |||||||||
| Item 4 | –1.13 | 0.92 | 0.59** | 0.54** | 0.68** | 1 | ||||||||
| Item 6 | –0.95 | 0.22 | 0.36** | 0.31** | 0.35** | 0.39** | 1 | |||||||
| Item 8 | –0.36 | –0.72 | 0.38** | 0.34** | 0.45** | 0.50** | 0.37** | 1 | ||||||
| Item 9 | –1.46 | 2.82 | 0.45** | 0.50** | 0.49** | 0.45** | 0.40** | 0.38** | 1 | |||||
| Item 11 | –1.25 | 1.62 | 0.51** | 0.46** | 0.55** | 0.51** | 0.41** | 0.44** | 0.57** | 1 | ||||
| IM | 0.76∗∗ | 0.55∗∗ | 0.68∗∗ | 0.70∗∗ | ||||||||||
| Item 5 | 1.73 | 2.27 | –0.09* | –0.06 | –0.09* | –0.09* | 0.06 | –0.16** | –0.03 | –0.05 | 1 | |||
| Item 7 | –0.09 | –0.49 | –0.05 | 0.01 | 0.02 | –0.06 | –0.04 | –0.04 | 0.03 | 0.01 | 0.16∗∗ | 1 | ||
| Item 10 | 0.01 | –1.03 | –0.02 | 0.05 | 0.02 | –0.01 | 0.06 | –0.08* | 0.03 | –0.01 | 0.28∗∗ | 0.32∗∗ | 1 | |
| Item 12 | –0.03 | –1.16 | –0.08* | –0.10** | –0.07 | –0.06 | –0.05 | –0.12** | –0.09 | –0.11 | 0.31∗∗ | 0.27∗∗ | 0.37∗∗ | 1 |
CMS second exploratory factor analysis (N = 204).
| Item | VM | IM | IFS | ||
|---|---|---|---|---|---|
| Item 1 | 4.50 (0.78) | 0.74 | 0.57 | 0.946 | |
| Item 2 | 4.50 (0.77) | 0.80 | 0.64 | 0.995 | |
| Item 3 | 4.30 (0.86) | 0.82 | 0.67 | 0.994 | |
| Item 4 | 4.25 (0.90) | 0.79 | 0.63 | 0.999 | |
| Item 6 | 4.10 (1.01) | 0.63 | 0.52 | 0.999 | |
| Item 8 | 3.61 (1.13) | 0.52 | 0.40 | 0.913 | |
| Item 9 | 4.45 (0.73) | 0.66 | 0.48 | 0.991 | |
| Item 11 | 4.29 (0.85) | 0.74 | 0.38 | 0.446 | |
| Item 5 | 3.21 (2.02) | 0.72 | 0.45 | 0.911 | |
| Item 7 | 3.27 (1.06) | 0.69 | 0.55 | 0.988 | |
| Item 10 | 2.99 (1.27) | 0.74 | 0.55 | 0.992 | |
| Item 12 | 3.05 (1.35) | 0.65 | 0.43 | 0.988 | |
| Dimension total | 33.99 | 12.52 | |||
| Dimension average | 4.25 (=33.99/8) | 3.13 (=12.52/4) | |||
| Eigenvalues | 4.13 | 1.96 | |||
| Eigenvalues average | 0.52 (=4.13/8) | 0.49 (=1.96/4) | |||
| Percent variance explained (%) | 34.42 | 16.33 | |||
| SFI | 0.99 | 0.93 | |||
| OmegaS (CI 95%) | 0.86 [0.80, 0.90] | 0.67 [0.57, 0.74] | |||
| AVE | 0.52 | 0.49 | |||
Comparison of fitting indices of models (N = 662).
| Model | χ2 | Normed χ2 | RMSEA | SRMR | CFI | TLI | |
|---|---|---|---|---|---|---|---|
| One-factor | 636.10 | 79 | 8.05∗∗∗ | 0.10 | 0.09 | 0.80 | 0.77 |
| Two-factor | 176.76 | 52 | 3.40∗∗∗ | 0.06 | 0.04 | 0.95 | 0.94 |
FIGURE 3CFA results on CMS scale.
Factor pattern and structure coefficients for the CMS (N = 662).
| Item | VM | IM | ||
|---|---|---|---|---|
| Pattern | Structure | Pattern | Structure | |
| Item 1 | 0.75 | 0.75 | 0 | –0.07 |
| Item 2 | 0.73 | 0.73 | 0 | –0.07 |
| Item 3 | 0.85 | 0.85 | 0 | –0.08 |
| Item 4 | 0.78 | 0.78 | 0 | –0.08 |
| Item 6 | 0.48 | 0.48 | 0 | –0.05 |
| Item 8 | 0.57 | 0.57 | 0 | –0.06 |
| Item 9 | 0.61 | 0.61 | 0 | –0.06 |
| Item 11 | 0.67 | 0.67 | 0 | –0.07 |
| Item 5 | 0 | –0.04 | 0.45 | 0.45 |
| Item 7 | 0 | –0.04 | 0.45 | 0.45 |
| Item 10 | 0 | –0.06 | 0.62 | 0.62 |
| Item 12 | 0 | –0.06 | 0.62 | 0.62 |
Analysis of measurement invariance across gender and type of participants (N = 662).
| Model | S-B | CFI | TLI | RMSEA | SRMR | ΔCFI | ΔRMSEA | ||
|---|---|---|---|---|---|---|---|---|---|
| Measurement invariance across gender | |||||||||
| M1: configural invariance | 281.30*** | 104 | 0.934 | 0.917 | 0.066 | 0.049 | |||
| M2: metric invariance | 298.44*** | 114 | 0.936 | 0.926 | 0.062 | 0.055 | M2:M1 | 0.002 | –0.004 |
| M3: scalar invariance | 317.63*** | 124 | 0.932 | 0.928 | 0.062 | 0.057 | M3:M2 | 0.004 | 0.000 |
| Measurement invariance across type of participant | |||||||||
| M1: configural invariance | 316.64*** | 156 | 0.943 | 0.928 | 0.061 | 0.053 | |||
| M2: metric invariance | 343.27*** | 176 | 0.945 | 0.938 | 0.056 | 0.060 | M2:M1 | 0.002 | 0.005 |
| M3: scalar invariance | 418.19*** | 196 | 0.923 | 0.922 | 0.063 | 0.067 | M3:M2 | 0.022 | 0.007 |
| M4: partial scalar invariance | 409.12*** | 194 | 0.935 | 0.924 | 0.062 | 0.066 | M3:M2 | 0.010 | 0.006 |
Correlation between CMS and USIS.
| VM | IM | Defensiveness | Ego-integrity | Image promotion | |
|---|---|---|---|---|---|
| VM | – | ||||
| IM | –0.09* | – | |||
| Defensiveness | 0.53** | 0.23** | – | ||
| Ego-integrity | 0.60** | –0.06 | 0.55** | – | |
| Image promotion | 0.39** | 0.26** | 0.48** | 0.49** | – |