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Original Articles

Why Tenth Graders Fail to Finish High School: A Dropout Typology Latent Class Analysis

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Pages 129-148 | Published online: 06 Aug 2012

REFERENCES

  • Abrams , L. , & Haney , W. ( 2004 ). Accountability and the grade 9 to 10 transition: The impact on attrition and retention rates . In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 181 – 205 ). Cambridge , MA : Harvard Education Press .
  • Alexander , K. L. , Entwisle , D. R. , & Kabbani , N. S. ( 2001 ). The dropout process in life course perspective: Early risk factors at home and school . The Teachers College Record , 103 ( 5 ), 760 – 822 .
  • Allensworth , E. M. ( 2005 ). Dropout rates after high-stakes testing in elementary school: A study of the contradictory effects of Chicago's efforts to end social promotion . Education Evaluation and Policy Analysis , 27 ( 4 ), 341 – 364 . doi: 10.3102/01623737027004341
  • Allensworth , E. M. , & Easton , J. Q. ( 2001 ). Calculating a cohort dropout rate for the Chicago public schools: A technical research report . Chicago , IL : Consortium on Chicago School Research .
  • Allensworth , E. M. , & Easton , J. Q. ( 2005 ). The on-track indicator as a predictor of high school graduation . Chicago , IL : Consortium on Chicago School Research at the University of Chicago .
  • Allensworth , E. M. , & Easton , J. Q. ( 2007 ). What matters for staying on-track and graduating in Chicago public high schools: A close look at course grades, failures, and attendance in the freshman year . Chicago , IL : Consortium on Chicago School Research .
  • Asparouhov , T. ( 2005 ). Sampling weights in latent variable modeling . Structural Equation Modeling: A Multidiscplinary Journal , 12 ( 3 ), 411 – 434 . doi: 10.1207/s15328007sem1203_4
  • Balfanz , R. , Herzog , L. , & MacIver , D. J. ( 2007 ). Preventing student disengagement and keeping students on the graduation path in urban middle-grades schools: Early identification and effective interventions . Educational Psychologist , 42 ( 4 ), 223 – 235 . doi: 10.1080/00461520701621079
  • Balfanz , R. , Hornig Fox , J. , Bridgeland , J. M. , & McNaught , M. ( 2009 ). Grad nation: A guidebook to help communities tackle the dropout crisis . Washington , DC : America's Promise Alliance .
  • Barrington , B. L. , & Hendricks , B. ( 1989 ). Differentiating characteristics of high school graduates, dropouts, and nongraduates . Journal of Educational Research , 82 ( 6 ), 309 – 319 .
  • Battin-Pearson , S. , Abbott , R. D. , Hill , K. G. , Catalano , R. F. , Hawkins , J. D. , & Newcomb , M. D. ( 2000 ). Predictors of early high school dropout: A test of five theories . Journal of Educational Psychology , 92 ( 3 ), 568 – 582 . doi: 10.1037/0022-0663.92.3.568
  • Belcher , D. C. , & Hatley , R. V. ( 1994 ). A dropout prediction model that highlights middle level variables . Research in Middle Level Education , 18 ( 1 ), 67 – 78 .
  • Bowers , A. J. ( 2009 ). Reconsidering grades as data for decision making: More than just academic knowledge . Journal of Educational Administration , 47 ( 5 ), 609 – 629 . doi: 10.1108/09578230910981080
  • Bowers , A. J. ( 2010a ). Analyzing the longitudinal K–12 grading histories of entire cohorts of students: Grades, data driven decision making, dropping out and hierarchical cluster analysis . Practical Assessment, Research & Evaluation , 15 ( 7 ), 1 – 18 .
  • Bowers , A. J. ( 2010b ). Grades and graduation: A longitudinal risk perspective to identify student dropouts . The Journal of Educational Research , 103 ( 3 ), 191 – 207 . doi: 10.1080/00220670903382970
  • Bowers , A. J. ( 2011 ). What's in a grade? The multidimensional nature of what teacher assigned grades assess in high school . Educational Research & Evaluation , 17 ( 3 ), 141 – 159 . doi: 10.1080/13803611.2011.597112
  • Bowers , A. J. , & Sprott , R. ( 2012 ). Examining the multiple trajectories associated with dropping out of high school: A growth mixture model analysis . The Journal of Educational Research , 105 ( 3 ), 176 – 195 . doi: 10.1080/00220671.2011.552075
  • Cheung , M. W. L. , & Chan , W. ( 2005 ). Classifying correlation matrices into relatively homogeneous subgroups: A cluster analytic approach . Educational and Psychological Measurement , 65 ( 6 ), 954 – 979 . doi: 10.1177/0013164404273946
  • Cohen , J. S. , & Smerdon , B. A. ( 2009 ). Tightening the dropout tourniquet: Easing the transition from middle to high school . Preventing School Failure , 53 ( 3 ), 177 – 184 . doi: 10.3200/PSFL.53.3.177-184
  • Dalton , B. , Glennie , E. , & Ingles , S. J. ( 2009 ). Late high school dropouts: Characteristics, experiences, and changes across cohorts. Retrieved from http://nces.ed.gov/pubs2009/2009307.pdf
  • Dolan , C. V. ( 2009 ). Structural equation mixture modeling . In R. E. Millsap & A. Maydeu-Olivares (Eds.), The SAGE handbook of quantitative methods in psychology (pp. 568 – 591 ). Thousand Oaks , CA : SAGE .
  • Dynarski , M. (2004). Interpreting the evidence from recent federal evaluations of dropout-prevention programs: The state of scientific research. In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 255–268). Cambridge , MA : Harvard Education Press.
  • Dynarksi , M. , Clarke , L. , Cobb , B. , Finn , J. , Rumberger , R. W. , Smink , J. , …  Gill , B. ( 2008 ). Dropout prevention: A practice guide (No. NCEE 2008–4025). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, US Department of Education.
  • Dynarski , M. , & Gleason , P. ( 2002 ). How can we help? What we have learned from recent federal dropout prevention evaluations . Journal of Education for Students Placed at Risk , 7 ( 1 ), 43 – 69 . doi: 10.1207/S15327671ESPR0701_4
  • Ekstrom , R. B. , Goertz , M. E. , Pollack , J. M. , & Rock , D. A. ( 1986 ). Who drops out of high school and why? Findings from a national study . Teachers College Record , 87 ( 3 ), 356 – 373 .
  • Finn , J. D. ( 1989 ). Withdrawing from school . Review of Educational Research , 59 ( 2 ), 117 – 142 .
  • Fitzsimmons , S. J. , Cheever , J. , Leonard , E. , & Macunovich , D. ( 1969 ). School failures: Now and tomorrow . Developmental Psychology , 1 ( 134-146 ).
  • Fortin , L. , Marcotte , D. , Potvin , P. , Royer , E. , & Joly , J. ( 2006 ). Typology of students at risk of dropping out of school: Description by personal, family and school factors . European Journal of Psychology of Education , 21 ( 4 ), 363 – 383 . doi: 10.1007/BF03173508
  • French , D. C. , & Conrad , J. ( 2001 ). School dropout as predicted by peer rejection and antisocial behavior . Journal of Research on Adolescence , 11 ( 3 ), 225 – 244 . doi: 10.1111/1532-7795.00011
  • Gleason , P. , & Dynarski , M. ( 2002 ). Do we know whom to serve? Issues in using risk factors to identify dropouts . Journal of Education for Students Placed at Risk , 7 ( 1 ), 25 – 41 . doi: 10.1207/S15327671ESPR0701_3
  • Goodman , L. A. ( 2002 ). Latent class analysis: The emperical study of latent types, latent variables, and latent structures . In J. A. Hagenaars & A. L. McCutcheon (Eds.), Applied latent class analysis (pp. 3 – 55 ). Cambridge , UK : Cambridge University Press .
  • Graham , J. W. , Cumsille , P. E. , & Elvira , E.-F. ( 2003 ). Methods for handling missing data . In I. B. Weiner , J. A. Schinka , & W. F. Velicer (Eds.), Handbook of psychology: Volume 2 Research methods in psychology (pp. 87 – 114 ). New York , NY : John Wiley & Sons .
  • Hammond , C. , Linton , D. , Smink , J. , & Drew , S. ( 2007 ). Dropout risk factors and exemplary programs: A technical report . Clemson , SC : National Dropout Prevention Center .
  • Hauser , R. M. , Simmons , S. J. , & Pager , D. I. ( 2004 ). High school dropout, race/ethnicity, and social background from the 1970s to the 1990s . In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 85 – 106 ). Cambridge , MA : Harvard Education Press .
  • Ingles , S. J. , Pratt , D. J. , Rogers , J. E. , Siegel , P. H. , Stutts , E. S. , & Owings , J. A. ( 2004 ). Education longitudinal study of 2002: Base year data file user's manual . Washington , DC : National Center for Education Statistics, Institute of Education Sciences, US Department of Education .
  • Ingles , S. J. , Pratt , D. J. , Wilson , D. , Burns , L. J. , Currivan , D. , Rogers , J. E. , … Hubbard-Bednasz , S. ( 2007 ). Education longitudinal study of 2002: Base-year to second follow-up data file documentation . Washington , DC : National Center for Education Statistics, Institute of Education Sciences, US Department of Education .
  • Janosz , M. , LeBlanc , M. , Boulerice , B. , & Tremblay , R. E. ( 2000 ). Predicting different types of school dropouts: A typological approach with two longitudinal samples . Journal of Educational Psychology , 92 ( 1 ), 171 – 190 . doi: 10.1037/0022-0663.92.1.171
  • Jung , T. , & Wickrama , K. A. S. ( 2008 ). An introduction to latent class growth analysis and growth mixture modeling . Social and Personality Psychology Compass , 2 ( 1 ), 302 – 317 . doi: 10.1111/j.1751-9004.2007.00054.x
  • Kronick , R. F. , & Hargis , C. H. ( 1998 ). Dropouts: Who drops out and why—And the recommended action ( , 2nd ed. ). Springfield , IL : Charles C. Thomas .
  • Lee , V. E. , & Burkam , D. T. ( 2003 ). Dropping out of high school: The role of school organization and structure . American Educational Research Journal , 40 ( 2 ), 353 – 393 . doi: 10.3102/00028312040002353
  • Lessard , A. , Butler-Kisber , L. , Fortin , L. , Marcotte , D. , Potvin , P. , & Royer , E. ( 2008 ). Shades of disengagement: High school dropouts speak out . Social Psychology of Education , 11 ( 1 ), 25 – 42 . doi: 10.1007/s11218-007-9033-z
  • Lo , Y. ( 2005 ). Likelihood ratio tests of the number of components in a normal mixture with unequal variances . Statistics & Probability Letters , 71 ( 3 ), 225 – 235 . doi: 10.1016/j.spl.2004.11.007
  • Lo , Y. , Mendell , N. R. , & Rubin , D. B. ( 2001 ). Testing the number of components in a normal mixture . Biometrika , 88 ( 3 ), 767 – 778 . doi: 10.1093/biomet/88.3.767
  • Losen , D. J. (2004). Graduation rate accountability under the No Child Left Behind Act and the disparate impact on students of color. In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 41–56). Cambridge , MA : Harvard Education Press.
  • Mahoney , J. L. ( 2000 ). School extracurricular activity participation as a moderator in the development of antisocial patterns . Child Development , 71 ( 2 ), 502 – 516 . doi: 10.1111/1467-8624.00160
  • McCutcheon , A. L. ( 2002 ). Basic concepts and procedures in single- and multiple-group latent class analysis . In J. A. Hagenaars & A. L. McCutcheon (Eds.), Applied latent class analysis (pp. 56 – 87 ). Cambridge , UK : Cambridge University Press .
  • McNeil , L. M. , Coppola , E. , & Radigan , J. ( 2008 ). Avoidable losses: High-stakes accountability and the dropout crisis . Education Policy Analysis Archives , 16 ( 3 ), 1 – 45 .
  • Menzer , J. D. , & Hampel , R. L. ( 2009 ). Lost at the last minute . Phi Delta Kappan , 90 ( 9 ), 660 – 664 .
  • Muthén , L. K. , & Muthén , B. O. ( 2007 ). Mplus: Statistical analysis with latent variables user's guide ( , 5th ed. ). Los Angles , CA : Muthén & Muthén .
  • National Center for Education Statistics. (n.d.). Education longitudinal study of 2002 (ELS:2002). Retreived from http://www.nces.ed.gov/surveys/els2002/
  • Neild , R. C. ( 2009 ). Falling off track during the transition to high school: What we know and what can be done . The Future of Children , 19 ( 1 ), 53 – 76 .
  • Neild , R. C. , & Balfanz , R. ( 2006 ). Unfulfilled promise: The dimensions and characteristics of Philadelphia's dropout crisis, 2000–2005 . Philadelphia , PA : Philadelphia Youth Transitions Collaborative .
  • Neild , R. C. , & Farely , E. ( 2004 ). Whatever happened to the class of 2000? The timing of dropout in Philadelphia's schools . In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 207 – 220 ). Cambridge , MA : Harvard Education Press .
  • Neild , R. C. , Stoner-Eby , S. , & Furstenberg , F. ( 2008 ). Connecting entrance and departure: The transition to ninth grade and high school dropout . Education and Urban Society , 40 ( 5 ), 543 – 569 . doi: 10.1177/0013124508316438
  • Nylund , K. L. , Asparouhov , T. , & Muthén , B. O. ( 2007 ). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study . Structural Equation Modeling: A Multidiscplinary Journal , 14 ( 4 ), 535 – 569 . doi: 10.1080/10705510701575396
  • Ream , R. K. , & Rumberger , R. W. ( 2008 ). Student engagement, peer social capital, and school dropout among Mexican American and non-Latino White students . Sociology of Education , 81 ( 2 ), 109 – 139 . doi: 10.1177/003804070808100201
  • Rencher , A. C. ( 2002 ). Methods in multivariate analysis () , 2nd ed. . Hoboken : John Wiley & Sons .
  • Roderick , M. ( 2006 , November ). Closing the aspirations–attainment gap: Implications for high school reform, A commentary from Chicago. Paper presented at the MDRC High School Reform Conference “Improving High Schools: Putting Knowledge to Work” San Diego, CA. Retrieved from http://eric.ed.gov/PDFS/ED491184.pdf
  • Roderick , M. , & Camburn , E. ( 1999 ). Risk and recovery from course failure in the early years of high school . American Educational Research Journal , 36 ( 2 ), 303 – 343 . doi: 10.3102/00028312036002303
  • Romesburg , H. C. ( 1984 ). Cluster analysis for researchers . Belmont , CA : Lifetime Learning .
  • Rumberger , R. W. ( 1995 ). Dropping out of middle school: A multilevel analysis of students and schools . American Educational Research Journal , 32 ( 3 ), 583 – 625 . doi: 10.3102/00028312032003583
  • Rumberger , R. W. ( 2004a ). What can be done to reduce the dropout rate? In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 243 – 267 ). Cambridge , MA : Harvard Education Press .
  • Rumberger , R. W. ( 2004b ). Why students drop out of school . In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 131 – 156 ). Cambridge , MA : Harvard Education Press .
  • Rumberger , R. W. , & Palardy , G. J. ( 2005 ). Test scores, dropout rates, and transfer rates as alternative indicators of high school performance . American Educational Research Journal , 42 ( 1 ), 3 – 42 . doi: 10.3102/00028312042001003
  • Schüz , B. , Wurm , S. , & Tesch-Römer , C. ( 2009 ). Health and subjective well-being in later adulthood: Different health states—Different needs? Applied Psychology: Health and Well-Being , 1 ( 1 ), 23 – 45 . doi: 10.1111/j.1745-7254.2007.00657.x-i1
  • Strayhorn , T. L. ( 2009 ). Acessing and analyzing national databases . In T. J. Kowalski & T. J. Lasley (Eds.), Handbook of data-based decision making in education (pp. 105 – 122 ). New York , NY : Routledge .
  • Swanson , C. B. ( 2004 ). Sketching a portrait of public high school graduation: Who graduates? Who doesn't? In G. Orfield (Eds.), Dropouts in America: Confronting the graduation rate crisis (pp. 13 – 40 ). Cambridge , MA : Harvard Education Press .
  • Voss , H. L. , Wendling , A. , & Elliott , D. S. (1966). Some types of high school dropouts. Journal of Educational Research , 59(8), 363–368.
  • Wehlage , G. G. , Rutter , R. A. , Smith , G. A. , Lesko , N. , & Fernandez , R. R. ( 1989 ). Reducing the risk: Schools as communities of support . Philadelphia , PA : Falmer .
  • Zapala , M. A. , & Schork , N. J. ( 2006 ). Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables . Proceedings of the National Academy of Sciences , 103 ( 51 ), 19430 – 19435 . doi: 10.1073/pnas.0609333103
  • Zvoch , K. ( 2006 ). Freshman year dropouts: Interactions between student and school characteristics and student dropout status . Journal of Education for Students Placed at Risk , 11 ( 1 ), 97 – 117 . doi: 10.1207/s15327671espr1101_6

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