Moderated Mediation in Career Development Research

References

• AikenAikenWestS. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage.
   Google Scholar
• BaronBaronKennyD. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182. doi:10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• BentlerP. M. (1990). Comparative fit indices in structural equation models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909.107.2.238
   PubMed Web of Science ®Google Scholar
• BernesBernesBardickBardickOrrD. T. (2007). Career guidance and counseling efficacy studies: An international research agenda. International Journal for Educational and Vocational Guidance, 7, 81–96. doi:10.1007/s10775-007-9114-8
   Google Scholar
• BikosBikosDykhouseDykhouseBoutinBoutinGowenGowenRodneyH. E. (2013). Practice and research in career counseling and development-2012. Career Development Quarterly, 61, 290–329. doi:10.1002/j.2161-0045.2013.00058.x
   Google Scholar
• BluesteinD. (2006). The psychology of working: A new perspective for career development, counseling, andPUBLIC policy. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• BollenBollenStineR. (1990). Direct and indirect effects: Classical and bootstrap estimates of variability. Sociological Methodology, 20, 115–140. doi:10.2307/271084
   Google Scholar
• BrownBrownLentR. W. (2005). Career development and counseling: Putting theory and research to work. Hoboken, NJ: John Wiley.
   Google Scholar
• BrowneBrowneCudeckR. (1993). Alternative ways of assessing model fit. In BollenK. A.LongJ. S. (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
   Google Scholar
• Council for Accreditation of Counseling and Related Educational Programs (CACREP) standards. (2009). Retrieved from http://www.cacrep.org/about-cacrep/2016-cacrep-standards-revision
   Google Scholar
• DawsonDawsonRichterA. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. Journal of Applied Psychology, 91, 917–926. doi:10.1037/0021-9010.91.4.917
   PubMed Web of Science ®Google Scholar
• EdwardsEdwardsLambertL. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1–22. doi:10.1037/1082-989X.12.1.1
   PubMed Web of Science ®Google Scholar
• EfronEfronTibshiraniR. (1993). The bootstrap method for assessing statistical accuracy. Behaviormetrika, 17, 1–35. doi:10.2333/bhmk.12.17_1
   Google Scholar
• FrazierFrazierTixTixBarronK. E. (2004). Testing moderator and mediator effects in counseling psychology research. The Journal of Counseling Psychology, 51, 115–134. doi:10.1037/0022-0167.51.1.115
   Web of Science ®Google Scholar
• HayesA. F. (2013). Introduction to mediation, moderation, and conditional process analysis. New York, NY: The Guilford Press.
   Google Scholar
• HeppnerHeppnerWampoldWampoldKivlighanD. M. (2008). Research design in counseling. Belmont, CA: Thomson/Brook/Cole.
   Google Scholar
• HollandJ. L. (1973). Making vocational choices: A theory of careers. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• HuHuBentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• JamesJamesBrettJ. M. (1984). Mediators, moderators, and tests for mediation. Journal of Applied Psychology, 69, 307–321. doi:10.1037/0021-9010.69.2.307
   Web of Science ®Google Scholar
• JoseP. E. (2008). ModGraph-I: A programme to compute cell means for the graphical display of moderational analyses: The internet version, Version 2.0. Victoria University of Wellington, Wellington, New Zealand. Retrieved from http://www.victoria.ac.nz/psyc/paul-jose-files/modgraph/
   Google Scholar
• JuddJuddKennyD. A. (1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 5, 602–619. doi:10.1177/0193841X8100500502
   Web of Science ®Google Scholar
• KraemerKraemerWilsonWilsonFairburnFairburnAgrasW. S. (2002). Mediators and moderators of treatment effects in randomized clinical trials. Archives of General Psychiatry, 59, 877–883. doi:10.1001/archpsyc.59.10.877
   PubMed Web of Science ®Google Scholar
• MacCallumMacCallumBrowneBrowneSugawaraH. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. doi:10.1037/1082-989X.1.2.130
   Web of Science ®Google Scholar
• MacKinnonD. P. (2008). Introduction to statistical mediation analysis. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• MacKinnonMacKinnonLockwoodLockwoodHoffmanHoffmanWestWestSheetsV. (2002). A comparison of methods to test the significance of mediation and other intervening variable effects. Psychological Methods, 7, 83–104. doi:10.1037/1082-989X.7.1.83
   PubMed Web of Science ®Google Scholar
• MacKinnonMacKinnonLockwoodLockwoodWilliamsJ. (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
   PubMed Web of Science ®Google Scholar
• MacKinnonMacKinnonWarsiWarsiDwyerJ. H. (1995). A simulation study of mediated effect measures. Multivariate Behavioral Research, 30, 41–62. doi:10.1207/s15327906mbr3001_3
   PubMed Web of Science ®Google Scholar
• MallinckrodtMallinckrodtAbrahamAbrahamWeiWeiRussellD. (2006). Advances in testing the statistical significance of mediation effects. Journal of Counseling Psychology, 53, 372–378. doi:10.1037/0022-0167.53.3.372
   Web of Science ®Google Scholar
• MullerMullerJuddJuddYzerbytV. Y. (2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89, 852–863. doi:10.1037/0022-3514.89.6.852
   PubMed Web of Science ®Google Scholar
• MuthénMuthénMuthénB. O. (1998–2012). Mplus user’s guide. Version 7. Los Angeles, CA: Author.
   Google Scholar
• NilesNilesHarris-BowlsbeyJ. (2009). Career development interventions in the 21st century (3rd ed.). Columbus, OH: Pearson.
   Google Scholar
• NilesNilesHarris-BowlsbeyJ. (2013). Career development interventions in the 21st century (4th ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• PreacherPreacherHayesA. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717–731. doi:10.3758/BF03206553
   PubMedGoogle Scholar
• PreacherPreacherKelleyK. (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16, 93–115. doi:10.1037/a0022658
   PubMed Web of Science ®Google Scholar
• PreacherPreacherRuckerRuckerHayesA. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185–227. doi:10.1080/00273170701341316
   PubMed Web of Science ®Google Scholar
• RoseRoseHolmbeckHolmbeckCoakleyCoakleyFranksE. A. (2004). Mediator and moderator effects in developmental and behavioral pediatric research. Developmental and Behavioral Pediatrics, 25, 58–67. doi:10.1097/00004703-200402000-00013
   PubMed Web of Science ®Google Scholar
• RosenthalRosenthalRubinD. B. (1982). A simple, general purpose display of magnitude of experimental effect. Journal of Educational Psychology, 74, 166–169. doi:10.1037/0022-0663
   Web of Science ®Google Scholar
• RuckerRuckerPreacherPreacherTormalaTormalaPettyR. E. (2011). Mediation analysis in social psychology: Current practices and new recommendations. Social and Personality Psychology Compass, 5/6, 359–371. doi:10.1111/j.1751-9004.2011.00355.x
   Google Scholar
• SharpeD. (2013). Why the resistance to statistical innovations? Bridging the communication gap. Psychological Methods, 18, 572–582. doi:10.1037/a0034177
   PubMed Web of Science ®Google Scholar
• SherryA. (2006). Discriminant analysis in counseling psychology research. The Counseling Psychologist, 34, 661–683. doi:10.1177/0011000006287103
   Web of Science ®Google Scholar
• SobelM. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 12, 290–312. Retrieved from http://www.jstor.org/stable/270723
   Google Scholar
• SteigerSteigerLindJ. C. (1980). Statistically-based tests for the number of common factors. Paper presented at the Annual Spring Meeting of the Psychometric Society. Iowa City, IA.
   Google Scholar
• TraceyT. J. G. (2010). The 2009 Leona Tyler award address: Moderators I have known. The Counseling Psychologist, 38, 600–617. doi:10.1177/0011000009352689
   Google Scholar
• UllmanJ. B. (1996). Structural equation modeling. In TabachnickB. G.FidellL. S. (Eds.), Using multivariate statistics (3rd ed., pp. 709–811). New York, NY: Harper Collins.
   Google Scholar
• UrdanT. C. (2005). Statistics in plain English. 2nd ed. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Van LieshoutVan LieshoutCleverleyCleverleyJenkinsJenkinsGeorgiadesK. (2011). Assessing the measurement invariance of the Center for Epidemiologic Studies Depression Scale across immigrant and non-immigrant women in the postpartum period. Archives of Women’s Mental Health, 14, 413–423. doi:10.1007/s00737-011-0236-0
   PubMed Web of Science ®Google Scholar