메뉴 건너뛰기




Volumn 83, Issue 1, 2015, Pages 157-168

Confidence interval estimation for standardized effect sizes in multilevel and latent growth modeling

Author keywords

Confidence intervals; Effect sizes; Hierarchical linear models; Latent growth models; Multilevel analysis

Indexed keywords

ARTICLE; CONFIDENCE INTERVAL; EFFECT SIZE; MONTE CARLO METHOD; MULTILEVEL ANALYSIS; SAMPLE SIZE; SAMPLING ERROR; SEX DIFFERENCE; STATISTICAL BIAS; THERAPY EFFECT; ADOLESCENT; CLINICAL TRIAL (TOPIC); HUMAN; PROCEDURES; REGRESSION ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

EID: 84925794253     PISSN: 0022006X     EISSN: 19392117     Source Type: Journal    
DOI: 10.1037/a0037721     Document Type: Article
Times cited : (98)

References (71)
  • 1
    • 84896709719 scopus 로고    scopus 로고
    • The relationship between posttraumatic and depressive symptoms during prolonged exposure with and without cognitive restructuring for the treatment of posttraumatic stress disorder
    • Aderka, I. M., Gillihan, S. J., McLean, C. P., & Foa, E. B. (2013). The relationship between posttraumatic and depressive symptoms during prolonged exposure with and without cognitive restructuring for the treatment of posttraumatic stress disorder. Journal of Consulting and Clinical Psychology, 81, 375-382. doi:10.1037/a0031523
    • (2013) Journal of Consulting and Clinical Psychology , vol.81 , pp. 375-382
    • Aderka, I.M.1    Gillihan, S.J.2    McLean, C.P.3    Foa, E.B.4
  • 5
    • 58849141749 scopus 로고    scopus 로고
    • Reporting standards for research in psychology: Why do we need them? What might they be?
    • APA Publications and Communications Board Working Group on Journal Article Reporting Standards
    • APA Publications and Communications Board Working Group on Journal Article Reporting Standards. (2008). Reporting standards for research in psychology: Why do we need them? What might they be? American Psychologist, 63, 839-851. doi:10.1037/0003-066X.63.9.839
    • (2008) American Psychologist , vol.63 , pp. 839-851
  • 6
    • 84868369635 scopus 로고    scopus 로고
    • Randomized clinical trial of cognitive behavioral therapy (CBT) versus acceptance and commitment therapy (ACT) for mixed anxiety disorders
    • Arch, J. J., Eifert, G. H., Davies, C., Vilardaga, J. C. P., Rose, R. D., & Craske, M. G. (2012). Randomized clinical trial of cognitive behavioral therapy (CBT) versus acceptance and commitment therapy (ACT) for mixed anxiety disorders. Journal of Consulting and Clinical Psychology, 80, 750-765. doi:10.1037/a0028310
    • (2012) Journal of Consulting and Clinical Psychology , vol.80 , pp. 750-765
    • Arch, J.J.1    Eifert, G.H.2    Davies, C.3    Vilardaga, J.C.P.4    Rose, R.D.5    Craske, M.G.6
  • 7
    • 68749097016 scopus 로고    scopus 로고
    • Standardized or simple effect size: What should be reported?
    • Baguley, T. (2009). Standardized or simple effect size: What should be reported? British Journal of Psychology, 100, 603-617. doi:10.1348/000712608X377117
    • (2009) British Journal of Psychology , vol.100 , pp. 603-617
    • Baguley, T.1
  • 9
    • 31144463367 scopus 로고    scopus 로고
    • Arbitrary metrics in psychology
    • Blanton, H., & Jaccard, J. (2006). Arbitrary metrics in psychology. American Psychologist, 61, 27-41. doi:10.1037/0003-066X.61.1.27
    • (2006) American Psychologist , vol.61 , pp. 27-41
    • Blanton, H.1    Jaccard, J.2
  • 12
    • 79851484042 scopus 로고    scopus 로고
    • A combined motivation and parent-child interaction therapy package reduces child welfare recidivism in a randomized dismantling field trial
    • Chaffin, M., Funderburk, B., Bard, D., Valle, L. A., & Gurwitch, R. (2011). A combined motivation and parent-child interaction therapy package reduces child welfare recidivism in a randomized dismantling field trial. Journal of Consulting and Clinical Psychology, 79, 84-95. doi:10.1037/a0021227
    • (2011) Journal of Consulting and Clinical Psychology , vol.79 , pp. 84-95
    • Chaffin, M.1    Funderburk, B.2    Bard, D.3    Valle, L.A.4    Gurwitch, R.5
  • 13
    • 77951062422 scopus 로고    scopus 로고
    • How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies
    • Chen, H., Cohen, P., & Chen, S. (2010). How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Communications in Statistics-Simulation and Computation, 39, 860-864. doi:10.1080/03610911003650383
    • (2010) Communications in Statistics-Simulation and Computation , vol.39 , pp. 860-864
    • Chen, H.1    Cohen, P.2    Chen, S.3
  • 14
    • 66149143957 scopus 로고    scopus 로고
    • Comparison of methods for constructing confidence intervals of standardized indirect effects
    • Cheung, M. W. (2009). Comparison of methods for constructing confidence intervals of standardized indirect effects. Behavior Research Methods, 41, 425-438. doi:10.3758/BRM.41.2.425
    • (2009) Behavior Research Methods , vol.41 , pp. 425-438
    • Cheung, M.W.1
  • 19
    • 0842285954 scopus 로고    scopus 로고
    • Have multilevel models been structural equation models all along?
    • Curran, P. J. (2003). Have multilevel models been structural equation models all along? Multivariate Behavioral Research, 38, 529-569. doi:10.1207/s15327906mbr3804-5
    • (2003) Multivariate Behavioral Research , vol.38 , pp. 529-569
    • Curran, P.J.1
  • 21
    • 0002526947 scopus 로고    scopus 로고
    • Meta-analysis of experiments with matched groups or repeated measures designs
    • Dunlap, W. P., Cortina, J. M., Vaslow, J. B., & Burke, M. J. (1996). Meta-analysis of experiments with matched groups or repeated measures designs. Psychological Methods, 1, 170-177. doi:10.1037/1082-989X.1.2.170
    • (1996) Psychological Methods , vol.1 , pp. 170-177
    • Dunlap, W.P.1    Cortina, J.M.2    Vaslow, J.B.3    Burke, M.J.4
  • 24
    • 0003047257 scopus 로고
    • The additive effects of differences in central tendency and variability are important in comparisons between groups
    • Feingold, A. (1995). The additive effects of differences in central tendency and variability are important in comparisons between groups. American Psychologist, 50, 5-13. doi:10.1037/0003-066X.50.1.5
    • (1995) American Psychologist , vol.50 , pp. 5-13
    • Feingold, A.1
  • 25
    • 64649090519 scopus 로고    scopus 로고
    • Effect sizes for growth-modeling analysis for controlled clinical trials in the same metric as for classical analysis
    • Feingold, A. (2009). Effect sizes for growth-modeling analysis for controlled clinical trials in the same metric as for classical analysis. Psychological Methods, 14, 43-53. doi:10.1037/a0014699
    • (2009) Psychological Methods , vol.14 , pp. 43-53
    • Feingold, A.1
  • 26
    • 84881245980 scopus 로고    scopus 로고
    • A regression framework for effect size assessments in longitudinal modeling of group differences
    • Feingold, A. (2013). A regression framework for effect size assessments in longitudinal modeling of group differences. Review of General Psychology, 17, 111-121. doi:10.1037/a0030048
    • (2013) Review of General Psychology , vol.17 , pp. 111-121
    • Feingold, A.1
  • 27
    • 0036107995 scopus 로고    scopus 로고
    • Utility of crossover designs in clinical trials: Efficacy of desipramine vs. Placebo in opioid-dependent cocaine abusers
    • Feingold, A., Oliveto, A., Schottenfeld, R., & Kosten, T. R. (2002). Utility of crossover designs in clinical trials: Efficacy of desipramine vs. placebo in opioid-dependent cocaine abusers. American Journal on Addictions, 11, 111-123. doi:10.1080/10550490290087884
    • (2002) American Journal on Addictions , vol.11 , pp. 111-123
    • Feingold, A.1    Oliveto, A.2    Schottenfeld, R.3    Kosten, T.R.4
  • 28
    • 84908391070 scopus 로고    scopus 로고
    • New approaches for examining associations with latent categorical variables: Applications to substance abuse and aggression
    • Feingold, A., Tiberio, S., & Capaldi, D. M. (2014). New approaches for examining associations with latent categorical variables: Applications to substance abuse and aggression. Psychology of Addictive Behaviors, 28, 257-267. doi:10.1037/a0031487
    • (2014) Psychology of Addictive Behaviors , vol.28 , pp. 257-267
    • Feingold, A.1    Tiberio, S.2    Capaldi, D.M.3
  • 29
    • 0002100348 scopus 로고
    • Primary, secondary, and meta-analysis of research
    • Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3-8. doi:10.3102/0013189X005010003
    • (1976) Educational Researcher , vol.5 , Issue.10 , pp. 3-8
    • Glass, G.V.1
  • 32
    • 0034089015 scopus 로고    scopus 로고
    • Homogeneity of variance in clinical data
    • Grissom, R. J. (2000). Homogeneity of variance in clinical data. Journal of Consulting and Clinical Psychology, 68, 155-165. doi:10.1037/0022-006X.68.1.155
    • (2000) Journal of Consulting and Clinical Psychology , vol.68 , pp. 155-165
    • Grissom, R.J.1
  • 34
    • 1542336763 scopus 로고    scopus 로고
    • Move over ANOVA: Progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry
    • Gueorguieva, R., & Krystal, J. H. (2004). Move over ANOVA: Progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry. Archives of General Psychiatry, 61, 310-317. doi:10.1001/archpsyc.61.3.310
    • (2004) Archives of General Psychiatry , vol.61 , pp. 310-317
    • Gueorguieva, R.1    Krystal, J.H.2
  • 36
  • 37
    • 79961202718 scopus 로고    scopus 로고
    • Effect sizes in nested designs
    • H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), New York, NY: Russell Sage Foundation
    • Hedges, L. V. (2009). Effect sizes in nested designs. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis (2nd ed., pp. 337-356). New York, NY: Russell Sage Foundation.
    • (2009) The Handbook of Research Synthesis (2nd Ed.) , pp. 337-356
    • Hedges, L.V.1
  • 39
    • 84881568220 scopus 로고    scopus 로고
    • A standardized mean difference effect size for single case designs
    • Hedges, L. V., Pustejovskya, J. E., & Shadish, W. R. (2012). A standardized mean difference effect size for single case designs. Research Synthesis Methods, 3, 224-239. doi:10.1002/jrsm.1052
    • (2012) Research Synthesis Methods , vol.3 , pp. 224-239
    • Hedges, L.V.1    Pustejovskya, J.E.2    Shadish, W.R.3
  • 43
    • 83755185643 scopus 로고    scopus 로고
    • Sample size planning for longitudinal models: Accuracy in parameter estimation for polynomial change parameters
    • Kelley, K., & Rausch, J. R. (2011). Sample size planning for longitudinal models: Accuracy in parameter estimation for polynomial change parameters. Psychological Methods, 16, 391-405. doi:10.1037/a0023352
    • (2011) Psychological Methods , vol.16 , pp. 391-405
    • Kelley, K.1    Rausch, J.R.2
  • 44
    • 84905098463 scopus 로고    scopus 로고
    • Juvenile justice girls' depressive symptoms and suicidal ideation 9 years after multidimensional treatment foster care
    • Kerr, D. C. R., DeGarmo, D. S., Leve, L. D., & Chamberlain, P. (2014). Juvenile justice girls' depressive symptoms and suicidal ideation 9 years after multidimensional treatment foster care. Journal of Consulting and Clinical Psychology, 82, 684-693. doi:10.1037/a0036521
    • (2014) Journal of Consulting and Clinical Psychology , vol.82 , pp. 684-693
    • Kerr, D.C.R.1    Degarmo, D.S.2    Leve, L.D.3    Chamberlain, P.4
  • 45
    • 84055224059 scopus 로고    scopus 로고
    • Estimating and comparing specific mediation models in complex latent variable models
    • Lau, R. S., & Cheung, G. W. (2012). Estimating and comparing specific mediation models in complex latent variable models. Organizational Research Methods, 15, 3-16. doi:10.1177/1094428110391673
    • (2012) Organizational Research Methods , vol.15 , pp. 3-16
    • Lau, R.S.1    Cheung, G.W.2
  • 49
    • 69949190053 scopus 로고    scopus 로고
    • Sufficient sample sizes for multilevel modeling
    • Maas, C. J. M., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1, 86-92.
    • (2005) Methodology , vol.1 , pp. 86-92
    • Maas, C.J.M.1    Hox, J.J.2
  • 50
    • 3042811867 scopus 로고    scopus 로고
    • Confidence limits for the indirect effect: Distribution of the product and resampling methods
    • MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99 -128. doi: 10.1207/s15327906mbr3901-4
    • (2004) Multivariate Behavioral Research , vol.39 , pp. 99-128
    • Mackinnon, D.P.1    Lockwood, C.M.2    Williams, J.3
  • 52
    • 40249118288 scopus 로고    scopus 로고
    • Estimating effect sizes from pretest-posttest-control group designs
    • Morris, S. B. (2008). Estimating effect sizes from pretest-posttest-control group designs. Organizational Research Methods, 11, 364-386. doi: 10.1177/1094428106291059
    • (2008) Organizational Research Methods , vol.11 , pp. 364-386
    • Morris, S.B.1
  • 53
    • 85047673975 scopus 로고    scopus 로고
    • Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs
    • Morris, S. B., & DeShon, R. P. (2002). Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. Psychological Methods, 7, 105-125. doi:10.1037/1082-989X.7.1.105
    • (2002) Psychological Methods , vol.7 , pp. 105-125
    • Morris, S.B.1    Deshon, R.P.2
  • 54
    • 0034020646 scopus 로고    scopus 로고
    • The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a U.S. National sample
    • Muthén, B. O., & Muthén, L. K. (2000). The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a U.S. national sample. Journal of Studies on Alcohol, 61, 290-300.
    • (2000) Journal of Studies on Alcohol , vol.61 , pp. 290-300
    • Muthén, B.O.1    Muthén, L.K.2
  • 55
    • 0345040656 scopus 로고    scopus 로고
    • How to use a Monte Carlo study to decide on sample size and determine power
    • Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 9, 599-620. doi:10.1207/S15328007SEM0904-8
    • (2002) Structural Equation Modeling , vol.9 , pp. 599-620
    • Muthén, L.K.1    Muthén, B.O.2
  • 58
    • 77953250408 scopus 로고    scopus 로고
    • Confidence intervals for effect sizes: Compliance and clinical significance in the Journal of Consulting and Clinical Psychology
    • Odgaard, E. C., & Fowler, R. L. (2010). Confidence intervals for effect sizes: Compliance and clinical significance in the Journal of Consulting and Clinical Psychology. Journal of Consulting and Clinical Psychology, 78, 287-297. doi:10.1037/a0019294
    • (2010) Journal of Consulting and Clinical Psychology , vol.78 , pp. 287-297
    • Odgaard, E.C.1    Fowler, R.L.2
  • 59
    • 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. doi:10.1006/ceps.2000.1040
    • (2000) Contemporary Educational Psychology , vol.25 , pp. 241-286
    • Olejnik, S.1    Algina, J.2
  • 60
    • 1542678316 scopus 로고    scopus 로고
    • A two-part random-effects model for semicontinuous longitudinal data
    • Olsen, M. K., & Schafer, J. L. (2001). A two-part random-effects model for semicontinuous longitudinal data. Journal of the American Statistical Association, 96, 730-745. doi:10.1198/016214501753168389
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 730-745
    • Olsen, M.K.1    Schafer, J.L.2
  • 62
    • 0001994659 scopus 로고
    • Hierarchical linear models to study the effects of social context on development
    • J. M. Gottman (Ed.), Mahwah, NJ: Erlbaum
    • Raudenbush, S. W. (1995). Hierarchical linear models to study the effects of social context on development. In J. M. Gottman (Ed.) The analysis of change (pp. 165-201). Mahwah, NJ: Erlbaum.
    • (1995) The Analysis of Change , pp. 165-201
    • Raudenbush, S.W.1
  • 64
    • 0035754645 scopus 로고    scopus 로고
    • Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change
    • Raudenbush, S. W., & Liu, X. (2001). Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change. Psychological Methods, 6, 387- 401. doi: 10.1037/1082-989X.6.4.387
    • (2001) Psychological Methods , vol.6 , pp. 387-401
    • Raudenbush, S.W.1    Liu, X.2
  • 65
    • 0030519779 scopus 로고    scopus 로고
    • Qualitative descriptors of strength of association and effect size
    • Rosenthal, J. A. (1996). Qualitative descriptors of strength of association and effect size. Journal of Social Service Research, 21, 37-59.
    • (1996) Journal of Social Service Research , vol.21 , pp. 37-59
    • Rosenthal, J.A.1
  • 67
    • 84865511362 scopus 로고    scopus 로고
    • Cognitive behavioral therapy for adherence and depression (CBT-AD) in HIV-infected injection drug users: A randomized controlled trial
    • Safren, S. A., O'Cleirigh, C. M., Bullis, J. R., Otto, M. W., Stein, M. D., & Pollack, M. H. (2012). Cognitive behavioral therapy for adherence and depression (CBT-AD) in HIV-infected injection drug users: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 80, 404-415. doi:10.1037/a0028208
    • (2012) Journal of Consulting and Clinical Psychology , vol.80 , pp. 404-415
    • Safren, S.A.1    O'Cleirigh, C.M.2    Bullis, J.R.3    Otto, M.W.4    Stein, M.D.5    Pollack, M.H.6
  • 68
    • 84902761693 scopus 로고    scopus 로고
    • Combining estimates of effect sizes
    • H. Cooper, L. V. Hedges, & J. C. Valentine (eds.), New York, NY: Russell Sage
    • Shadish, W. R., & Haddock, C. K. (2009). Combining estimates of effect sizes. In H. Cooper, L. V. Hedges, & J. C. Valentine (eds.), The handbook of research synthesis (2nd ed., pp. 257-277). New York, NY: Russell Sage.
    • (2009) The Handbook of Research Synthesis (2nd Ed.) , pp. 257-277
    • Shadish, W.R.1    Haddock, C.K.2
  • 70
    • 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. doi:10.1037/1082-989X.9.2.164
    • (2004) Psychological Methods , vol.9 , pp. 164-182
    • Steiger, J.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.