메뉴 건너뛰기




Volumn 44, Issue 3, 2009, Pages 396-406

A note on confidence intervals for two-group latent mean effect size measures

Author keywords

[No Author keywords available]

Indexed keywords


EID: 70449578723     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273170902938902     Document Type: Article
Times cited : (17)

References (24)
  • 3
    • 34147168651 scopus 로고
    • Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance
    • Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456-466.
    • (1989) Psychological Bulletin , vol.105 , pp. 456-466
    • Byrne, B.M.1    Shavelson, R.J.2    Muthén, B.3
  • 6
    • 0035535636 scopus 로고    scopus 로고
    • A primer on the understanding, use, and calculation of confidence intervals that are based on central and noncentral distributions
    • Cumming, G., & Finch, S. (2001). A primer on the understanding, use, and calculation of confidence intervals that are based on central and noncentral distributions. Educational and Psychological Measurement, 61, 532-574.
    • (2001) Educational and Psychological Measurement , vol.61 , pp. 532-574
    • Cumming, G.1    Finch, S.2
  • 8
    • 0035600240 scopus 로고    scopus 로고
    • Effect size, power, and sample size determination for structured means modeling and MIMIC approaches to between-groups hypothesis testing of means on a single latent construct
    • Hancock, G. R. (2001). Effect size, power, and sample size determination for structured means modeling and MIMIC approaches to between-groups hypothesis testing of means on a single latent construct. Psychometrika, 66, 373-388.
    • (2001) Psychometrika , vol.66 , pp. 373-388
    • Hancock, G.R.1
  • 9
    • 32444449788 scopus 로고    scopus 로고
    • Experimental, quasi-experimental, and nonexperimental design and analysis with latent variables
    • In D. Kaplan (Ed.), Thousand Oaks, CA: Sage
    • Hancock, G. R. (2004). Experimental, quasi-experimental, and nonexperimental design and analysis with latent variables. In D. Kaplan (Ed.), The SAGE handbook of quantitative methodology for the social sciences (pp. 317-334). Thousand Oaks, CA: Sage.
    • (2004) The SAGE Handbook of Quantitative Methodology for the Social Sciences , pp. 317-334
    • Hancock, G.R.1
  • 12
    • 0000983524 scopus 로고    scopus 로고
    • Measures of effect size for comparative studies: Applications, interpretations, and limitations
    • Olejnik, S., & Algina, J. (2000). Measures of effect size for comparative studies: Applications, interpretations, and limitations. Contemporary Educational Psychology, 25, 241-286.
    • (2000) Contemporary Educational Psychology , vol.25 , pp. 241-286
    • Olejnik, S.1    Algina, J.2
  • 13
    • 2642580826 scopus 로고    scopus 로고
    • Estimation of maximal reliability: A note on a covariance structure modelling approach
    • Raykov, T. (2004). Estimation of maximal reliability: A note on a covariance structure modelling approach. British Journal of Mathematical and Statistical Psychology, 57, 21-27.
    • (2004) British Journal of Mathematical and Statistical Psychology , vol.57 , pp. 21-27
    • Raykov, T.1
  • 16
    • 0003217529 scopus 로고
    • Corrections to test statistics and standard errors in covariance structure analysis
    • In A. von Eye & C. C. Clogg (Eds.), Thousand Oaks, CA: Sage
    • Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399-419). Thousand Oaks, CA: Sage.
    • (1994) Latent variables analysis: Applications for developmental research , pp. 399-419
    • Satorra, A.1    Bentler, P.M.2
  • 17
    • 0035535640 scopus 로고    scopus 로고
    • Correct confidence intervals for various regression effect sizes and parameters: The importance of noncentral distributions in computing intervals
    • Smithson, M. (2001). Correct confidence intervals for various regression effect sizes and parameters: The importance of noncentral distributions in computing intervals. Educational and Psychological Measurement, 61, 605-632.
    • (2001) Educational and Psychological Measurement , vol.61 , pp. 605-632
    • Smithson, M.1
  • 18
    • 85004788542 scopus 로고
    • A general method for studying differences in factor means and factor structure between groups
    • Sörbom, D. (1974). A general method for studying differences in factor means and factor structure between groups. British Journal of Mathematical and Statistical Psychology, 27, 229-239.
    • (1974) British Journal of Mathematical and Statistical Psychology , vol.27 , pp. 229-239
    • Sörbom, D.1
  • 20
    • 2542513965 scopus 로고    scopus 로고
    • Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis
    • Steiger, J. H. (2004). Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9, 164-182.
    • (2004) Psychological Methods , vol.9 , pp. 164-182
    • Steiger, J.H.1
  • 21
    • 0000340895 scopus 로고    scopus 로고
    • Noncentrality interval estimation and the evaluation of statistical methods
    • In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), Mahwah, NJ: Erlbaum
    • Steiger, J. H., & Fouladi, R. T. (1997). Noncentrality interval estimation and the evaluation of statistical methods. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What if there where no significance tests? (pp. 221-257). Mahwah, NJ: Erlbaum.
    • (1997) What if There Where No Significance Tests? , pp. 221-257
    • Steiger, J.H.1    Fouladi, R.T.2
  • 22
    • 84996149945 scopus 로고    scopus 로고
    • What future quantitative social science research could look like: Confidence intervals for effect sizes
    • Thompson, B. (2002). What future quantitative social science research could look like: Confidence intervals for effect sizes. Educational Researcher, 31, 25-32.
    • (2002) Educational Researcher , vol.31 , pp. 25-32
    • Thompson, B.1
  • 23
    • 33748992887 scopus 로고    scopus 로고
    • Evaluating between-group differences in latent variable means
    • In G. R. Hancock & R. O. Mueller (Eds.), Greenwich, CT: Information Age Publishing
    • Thompson, M., & Green, S. B. (2006). Evaluating between-group differences in latent variable means. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 119-169). Greenwich, CT: Information Age Publishing.
    • (2006) Structural Equation Modeling: A Second Course , pp. 119-169
    • Thompson, M.1    Green, S.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.