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Kim: Accessing Factor Structure and Construct Validity of the Successful Aging Inventory
Original Article

Journal of Korean Academy of Nursing 2013; 43(4): 568-578.

Published online: 30 August 2013

DOI: https://doi.org/10.4040/jkan.2013.43.4.568

Accessing Factor Structure and Construct Validity of the Successful Aging Inventory

Eun Joo Kim

Department of Nursing, Daejeon University, Daejeon, Korea.

Address reprint requests to: Kim, Eun Joo. Department of Nursing, Daejeon University, 62 Daehak-ro, Dong-gu, Daejeon 300-716, Korea. Tel: +82-42-280-2656, Fax: +82-42-280-2785, ejkim@dju.kr

Received 12 March 2013       Accepted 10 July 2013

© 2013 Korean Society of Nursing Science

Abstract

Purpose

The purpose of this study was to evaluate the reliability and validity of the Korean version of the Successful Aging Inventory (SAI-K) to determine its suitability for use with older Korean adults.

Methods

Exploratory and confirmatory factor analyses were utilized to assess the factor structure and the construct validity of the SAI-K. First- and second-order Confirmatory Factor Analysis (CFA) were conducted to identify the most adequate model. Cronbach's alpha was used to test the reliability.

Results

Using a second-order CFA, a four-factor structure was validated (χ2=122.82, p<.001, GFI=.92, AGFI=.88, SRMR=.06 RMSEA=.07, 90% CI=.05-.09, CFI=.93). The four-factor SAI-K showed reliable internal consistency with a Cronbach's alpha for the total scale of .86.

Conclusion

The four-factor, 13-item SAI-K showed satisfactory reliability and validity and, thus, has the potential to be an appropriate instrument for measuring successful aging in older Korean adults.

Keywords: Aging, Reliability and validity, Factor analysis

Figures and Tables

Figure 1
Second-order confirmatory factor analysis for the SAI-K.
jkan-43-568-g001
Table 1
General Characteristics of Participants ( N =200)
jkan-43-568-i001

*Missing responses excluded.

Table 2
SAI-K Factor Loadings from EFA and Theoretical Dimensions Represented
jkan-43-568-i002

SAI-K=Korean version of successful aging inventory; EFA=Exploratory factor analysis.

Table 3
Model Fitness Test Results
jkan-43-568-i003

CFA=Confirmatory factor analysis; CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; AGFI=Adjusted goodness-of-fit index; RMR=Root mean square residual; RMSEA=Root mean square error of approximation; CI=Confidence interval; NFI=Normed fit index; CFI= Comparative fit index.

Table 4
Reliability Coefficients for SAI-K
jkan-43-568-i004

SAI-K=Korean version of successful aging inventory; Ls=Life satisfaction; Cr=Creativity; Co=Coping; Tr=Transcendence.

References

1. An JS, Chong YS, Jeong YJ, Seo SG, Cooney TM. Critical aspirations from studies of successful aging. Korean J Dev Psychol. 2011; 24(3):35–54.
2. Bae BR. Structural equation modeling with Amos 17.0: Principles and practice. 2nd ed. Seoul: CheongRam Books;2009.
3. Cheon JS, Byun IW, Song HR, Oh BH. Factors related to the morale of Korean elders. J Korean Geriatr Psychiatry. 2004; 8(1):56–62.
4. Depp CA, Jeste DV. Definitions and predictors of successful aging: A comprehensive review of larger quantitative studies. Am J Geriatr Psychiatry. 2006; 14(1):6–20. http://dx.doi.org/10.1097/01.JGP.0000192501.03069.bc.
5. Eun Y, Sohng KY, Park OJ, Ko SH, Park MH, Kim JS, et al. Advanced clinical gerontological nursing. 2nd ed. Seoul: Hyunmoonsa;2010.
6. Field A. Discovering statistics using SPSS. 3rd ed. London, UK: Sage Publications Ltd;2009.
7. Flood M. Successful aging: A concept analysis. J Theory Constr Test. 2002; 6(2):105–108.
8. Flood M. A mid-range nursing theory of successful aging. J Theory Constr Test. 2005; 9(2):35–39.
9. Flood M, Scharer K. Creativity enhancement: Possibilities for successful aging. Issues Ment Health Nurs. 2006; 27(9):939–959. http://dx.doi.org/10.1080/01612840600899832.
10. Grove SK, Burns N, Gray JR. The practice of nursing research: Appraisal, synthesis, and generation of evidence. 7th ed. St. Louis, MO: Elsevier Inc;2012.
11. Hair JF, Tatham RL, Anderson RE, Black W. Multivariate data analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall;1998.
12. Han SS, Lee SC. Nursing and health statistical analysis. Seoul: Hannarae Publishing Co;2012.
13. Harrington D. Confirmatory factor analysis. New York, NY: Oxford University Press Inc;2009.
14. Kim DB. The study on the development of the Korean elderly's successful aging scale. Korean J Soc Welf. 2008; 60(1):211–231.
15. Kim EJ, Kim Y. Predictors of successful aging in Korean older women based on successful aging theory (SAT). Korean J Women Health Nurs. 2011; 17(4):378–387. http://dx.doi.org/10.4069/kjwhn.2011.17.4.378.
16. Kim MH, Shin KR. The study on the development of the 'successful aging' scale for Korean elderly. J Korea Gerontol Soc. 2005; 25(2):35–52.
17. Kline RB. Principals and practice of structural equation modeling. New York, NY: Guilford Press;1998.
18. Lee EO, Lim NY, Park HA, Lee IS, Kim JI, Bae JY, et al. Nursing research and statistical analysis. 4th ed. Paju: Soomoonsa;2009.
19. Munro BH. EH Lee Y Chung JS Kim R Song KY Hwang . Statistical methods for health care research. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins;2001.
20. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. New York, NY: McGraw-Hill;1994.
21. Reed PG. Self-transcendence theory. In : Smith MJ, Liehr PR, editors. Middle range theory for nursing. New York, NY: Springer Publishing Company, LLC;2008. p. 105–130.
22. Rowe JW, Kahn RL. Human aging: Usual and successful. Science. 1987; 237(4811):143–149.
23. Song JJ. SPSS/AMOS statistical analysis. 2nd ed. Paju: 21cbook;2012.
24. Song TM, Kim GS. Structural equation modeling for health & welfare research. Seoul: Hannarae Publishing Co;2012.
25. Troutman M, Nies MA, Small S, Bates A. The development and testing of an instrument to measure successful aging. Res Gerontol Nurs. 2011; 4(3):221–232. http://dx.doi.org/10.3928/19404921-20110106-02.
26. Van Prooijen JW, Van der Kloot WA. Confirmatory analysis of exploratively obtained factor structures. Educ Psychol Meas. 2001; 61(5):777–792. http://dx.doi.org/10.1177/00131640121971518.
27. Yu JP. Structural equation models: Concepts and understanding. Seoul: Hannarae Publishing Co;2012.
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