Introductory And Intermediate Growth Models - Mplus

More documents

Recommendations

Info

LSAY DataLongitudinal Study of American Youth (LSAY)• Two cohorts measured each year beginning in 1987– Cohort 1 - Grades 10, 11, and 12– Cohort 2 - Grades 7, 8, 9, 10, 11, and 12• Each cohort contains approximately 60 schools withapproximately 60 students per school• Variables - math and science achievement items, math andscience attitude measures, and background variables fromparents, teachers, and school principals• Approximately 60 items per test with partial item overlap acrossgrades - adaptive tests15Math Total Score666462Average Score605856Male YoungerFemale YoungerMale OlderFemale Older5452507 8 9 10 11 12Grade168
Mean CurveMath Achievement40 50 60 70 807 8 9 10GradeIndividual CurvesMath Achievement40 50 60 70 807 8 9 10Grade17Sample Means for MathMath Achievement40 50 60 70 807 8 9 10GradeSample Means for Attitude Towards MathMath Attitude10 11 12 13 14 157 8 9 10Grade189
Page 1 and 2: Mplus Short CoursesTopic 3Growth Mo
Page 3 and 4: Statistical Analysis With Latent Va
Page 5 and 6: General Latent Variable Modeling Fr
Page 7: Overview Of Mplus Courses (Continue
Page 11 and 12: Loneliness In TwinsAge range: 13-85
Page 13 and 14: Individual Development Over Time(1)
Page 15 and 16: Comparison Summary Of Multilevel,Mi
Page 17 and 18: Random Effects: SEM AndMultilevel M
Page 19 and 20: Multilevel Modeling In ALatent Vari
Page 21 and 22: Individual Development Over Timeyi
Page 23 and 24: Interpretation Of The Linear Growth
Page 25 and 26: Latent Growth Model ParametersFor F
Page 27 and 28: Growth Model Covariancesy ti= η 0i
Page 29 and 30: CFA Modeling Estimation And Testing
Page 31 and 32: Alternative Growth Model Parameteri
Page 33 and 34: LSAY Math AchievementMean CurveMath
Page 35 and 36: TITLE:DATA:VARIABLE:MODEL:Input For
Page 37 and 38: Output Excerpts LSAY Linear GrowthM
Page 39 and 40: Output Excerpts LSAY Linear Growth
Page 41 and 42: Output Excerpts LSAY:Adding Correla
Page 43 and 44: Time-Invariant AndTime-Varying Cova
Page 45 and 46: Output Excerpts LSAY Growth ModelWi
Page 47 and 48: Output Excerpts LSAY Growth ModelWi
Page 50 and 51: Centering• Centering determines t
Page 52 and 53: Further Readings On Introductory Gr
Page 54 and 55: Growth Model With Free Time Scores1
Page 56 and 57: Input Excerpts For LSAYLinear Growt
Page 58 and 59:
Quadratic growth modelSpecifying Ti
Page 60 and 61:
Piecewise Growth Modeling• Can be
Page 62 and 63:
Output Excerpts LSAY Piecewise Grow
Page 64 and 65:
Growth Modeling In Multilevel Terms
Page 66 and 67:
Output Excerpts For Growth Model Wi
Page 68 and 69:
Maximum-Likelihood AlternativesNote
Page 70 and 71:
Output Excerpts Model M1TESTS OF MO
Page 72 and 73:
72143Output Excerpts Model M1 (Cont
Page 74 and 75:
Output Excerpts Model M1 (Continued
Page 76 and 77:
Input Excerpt Model M3ANALYSIS:TYPE
Page 78 and 79:
Time-Varying CovariatesRepresenting
Page 80 and 81:
Regressions Among Random Effects159
Page 82 and 83:
Output Excerpts Growth Model With A
Page 84 and 85:
Interpreting The Effect Of The Inte
Page 86 and 87:
Multiple Processes• Parallel proc
Page 88 and 89:
math7 math8 math9math10imsmmothedia
Page 90 and 91:
Output Excerpts LSAY ParallelProces
Page 92 and 93:
Categorical Outcomes: Logit And Pro
Page 94 and 95:
Logistic Regression And Log Odds (C
Page 96 and 97:
Growth Models With Categorical Outc
Page 98 and 99:
Input For Schizophrenia Data Growth
Page 100 and 101:
Output Excerpts Schizophrenia Data
Page 102 and 103:
Page 104 and 105:
Page 106 and 107:
References (Continued)Jennrich, R.I
Page 108 and 109:
References (Continued)Ferrer, E. &
show all

Introductory And Intermediate Growth Models - Mplus

Create successful ePaper yourself

Delete template?

Save as template?