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References for CLP 6527/6528/6529/7525 readings

*Note:  Full references below are for copyritten documents and are not linked.

 

CLP 6527

Week 01

Week 02

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage. Chapter 1 (Everything You Never Wanted to Know about Statistics)
  • Kazdin, A.E. (2003). Research design in clinical psychology (4th ed.). Needham Heights, MA: Allyn & Bacon, Chapter 2 (Drawing Valid Inferences I: Internal and External Validity.)
  • Kazdin, A.E. (2003). Research design in clinical psychology (4th ed.). Needham Heights, MA: Allyn & Bacon, Chapter 4 (Sources of Artifact and Bias)
  • Questioning the randomized controlled trial as “gold standard” (http://www.apa.org/monitor/2010/09/trials.aspx)
  • Clinical trial phases (from ClinicalTrials.gov) (http://www.nlm.nih.gov/services/ctphases.html)
  • Clinical trial overview (from clinicaltrials.gov) (http://clinicaltrials.gov/ct2/info/understand)

Week 03

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 3 (The IBM SPSS Statistics Environment)
  • Howell, D. C. (2006).  Statistical methods for psychology. (6th edition). USA: Thomson Wadsworth , Chapter 2 (Describing and Exploring Data)
  • Howell, D. C. (2006).  Statistical methods for psychology. (6th edition). USA: Thomson Wadsworth , Chapter 3 (The normal distribution)

Week 04

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 4 (Exploring Data with Graphs)
  • Salkind, N.J. (2014). Statistics for people who (think they) hate statistics, 5th ed. London: Sage.  Chapter 8 (Are Your Curves Normal? Probability and Why It Counts)

Week 05

  • Howell, D. C. (2006).  Statistical methods for psychology. (6th edition). USA: Thomson Wadsworth, Chapter 4 (Sampling distributions and hypothesis testing)
  • Howell, D. C. (2006).  Statistical methods for psychology. (6th edition). USA: Thomson Wadsworth , Chapter 5 (Basic concepts of probability)

Week 06

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 5 (The Best of Bias)

Week 07

  • No additional readings

Week 08

  • Martella, Ronald C., J. Ron Nelson, Robert L. Morgan, and Nancy E. Marchand-Martella. Understanding and interpreting educational research. Guilford Press, 2013, Chapter 7 (Correlational research)
  • Kazdin, A.E. (2003). Research design in clinical psychology (4th ed.). Needham Heights, MA: Allyn & Bacon, Chapter 17 (Ethical Issues and Guidelines for Research)

Week 09

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 7 (Correlation)

Week 10

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 8 (Comparing Two Means)
  • Salkind, N.J. (2014). Statistics for people who (think they) hate statistics, 5th ed. London: Sage.  Chapter 13 (Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient)

Week 11

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 9 (Moderation, Mediation and More Regression)
  • Licht, Mark H. (1995). Multiple regression and correlation. In Grimm, Laurence G. (Ed); Yarnold, Paul R. (Ed), (1995). Reading and understanding multivariate statistics, (Chapter 2, pp. 19-64). Washington, DC, US: American Psychological Association.

Week 12

  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th Ed.). Upper Saddle River, NJ: Pearson Prentice Hall. Chapter 4 (Regression)

Week 13

Week 14

  • Wiedemann, A. U., Sch�z, B., Sniehotta, F., Scholz, U., & Schwarzer, R. (2009). Disentangling the relation between intentions, planning, and behaviour: A moderated mediation analysis. Psychology and Health, 24(1), 67-79.
  • Guti�rrez‐Do�a, B., Lippke, S., Renner, B., Kwon, S., & Schwarzer, R. (2009). Self‐Efficacy and Planning Predict Dietary Behaviors in Costa Rican and South Korean Women: Two Moderated Mediation Analyses. Applied Psychology: Health and Well‐Being, 1(1), 91-104.
  • Luszczynska, A., Cao, D. S., Mallach, N., Pietron, K., Mazurkiewicz, M., & Schwarzer, R. (2010). Intentions, planning, and self-efficacy predict physical activity in Chinese and Polish adolescents: Two moderated mediation analyses. International Journal of Clinical and Health Psychology, 10(2), 265-278.
  • Scholz, U., Sch�z, B., Ziegelmann, J. P., Lippke, S., & Schwarzer, R. (2008). Beyond behavioural intentions: Planning mediates between intentions and physical activity. British journal of health psychology, 13(3), 479-494.
  • Lippke, S., Wiedemann, A. U., Ziegelmann, J. P., Reuter, T., & Schwarzer, R. (2009). Self-efficacy moderates the mediation of intentions into behavior via plans. American journal of health behavior, 33(5), 521-529.
  • Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57(1), 1-29.
  • Luszczynska, A., Schwarzer, R., Lippke, S., & Mazurkiewicz, M. (2011). Self-efficacy as a moderator of the planning–behaviour relationship in interventions designed to promote physical activity. Psychology and health, 26(2), 151-166.
  • Richert, J., Reuter, T., Wiedemann, A. U., Lippke, S., Ziegelmann, J., & Schwarzer, R. (2010). Differential effects of planning and self-efficacy on fruit and vegetable consumption. Appetite, 54(3), 611-614.

CLP 6528

Week 01

 

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 10 (Comparing Several Means: ANOVA (GLM 1))
  • Salkind, N.J. (2014). Statistics for people who (think they) hate statistics, 5th ed. London: Sage.  Chapter 10  (Only the Lonely: The One-Sample z Test)
  • Salkind, N.J. (2014). Statistics for people who (think they) hate statistics, 5th ed. London: Sage.  Chapter 11 (t(ea) for Two: Tests Between the Means of Different Groups)
  • Heiman, G. W. (2006). Basic statistics for the behavioral sciences (6th Ed.). City: Cengage. Chapter 15 (the two-sample between-subjects experiment and the independent samples t-test)
  • Heiman, G. W. (2006). Basic statistics for the behavioral sciences (6th Ed.). City: Cengage. Chapter 16 (the two-sample within-subjects experiment and the dependent samples t-test)
  • Cumming, G., & Fidler, F. (2009). Confidence intervals: Better answers to better questions. Zeitschrift f�r Psychologie/Journal of Psychology, 217(1), 15-26.

Week 02

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 11 (Reporting Results From One-way Independent Anova)
  • Schweigert, W. A. (2011). Research methods in psychology: A handbook. Waveland Press. Chapter 5 (Introduction to Experimentation and the Between-Groups Design).

Week 03

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 13 (Factorial ANOVA (GLM 3))
  • Kazdin, A.E. (2003). Research design in clinical psychology (4th ed.). Needham Heights, MA: Allyn & Bacon, Chapter 7 (Control and comparison groups)
  • Kazdin, A.E. (2003). Research design in clinical psychology (4th ed.). Needham Heights, MA: Allyn & Bacon, Chapter 8 (Assessing the impact of experimental manipulation)

Week 04

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 14 (Repeated-Measures Designs (GLM 4))

Week 05

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 15 (Mixed Design ANOVA (GLM 5))
  • Schweigert, W. A. (2011). Research methods in psychology: A handbook. Waveland Press. Chapter 6 (The Within-Subjects Design)
  • Schweigert, W. A. (2011). Research methods in psychology: A handbook. Waveland Press. Chapter 7 (Factorial Designs)

Week 06

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 12 (Analysis of Covariance, ANCOVA (GLM 2))
  • Tabachnick, B. G., and Fidell, L. S. (2013). Using Multivariate Statistics, 6th ed.  Boston : Pearson. Chapter 8 (Analysis of covariance)
  • Meyers, L. S., Gamst, G., & Guarino, A. J. (2013). Applied Multivariate Research: Design and Interpretation (2nd ed.). London: Sage. Chapter 9A (MANOVA: Comparing two groups)
  • Meyers, L. S., Gamst, G., & Guarino, A. J. (2013). Applied Multivariate Research: Design and Interpretation (2nd ed.). London: Sage. Chapter 10A (MANOVA: Comparing three or more groups)
  • Meyers, L. S., Gamst, G., & Guarino, A. J. (2013). Applied Multivariate Research: Design and Interpretation (2nd ed.). London: Sage. Chapter 11A (MANOVA: Two-way factorial)

Week 07

  • Heiman, G. W. (2006). Basic statistics for the behavioral sciences (6th Ed.). City: Cengage. Chapter 21 (Chi square and other nonparametric statistical procedures)
  • Patten, M. L., & Bruce, R. R. (2000). Understanding research methods: An overview of the essentials. Topics 54-59 (Introduction to effect size, d; Interpretation of effect size d, Effect size and correlation r, Introduction to meta-analysis, Meta-analysis and effect size, Meta-analysis: strengths and weaknesses)
  • Rosnow, R. L., & Rosenthal, R. (2009). Effect sizes: Why, when, and how to use them. Zeitschrift f�r Psychologie/Journal of Psychology, 217(1), 6-14.

Week 08

  • Hadzi‐Pavlovic, D. (2009). Power and sample size: I. The success of others is a recipe for your failure. Acta Neuropsychiatrica, 21(4), 202-204.
  • Hadzi‐Pavlovic, D. (2007). Effect sizes I: differences between means. Acta Neuropsychiatrica, 19(5), 318-320.
  • Howell, D. C. (2006).  Statistical methods for psychology. (6th edition). USA: Thomson Wadsworth , Chapter 8 (Power)
  • Gpower Site (for Program and Manual) (http://www.gpower.hhu.de/en.html)
  • Dennis, M. L., Lennox, R. D., & Foss, M. A. (1997). Practical power analysis for substance abuse health services research. In Bryant, K. J., Windle, M. E., & West, S. G. (Eds). The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 367-404). Washington DC: American Psychological Association.
  • Murphy, K. (2002). Using power analysis to evaluate and improve research. In Rogelberg, Steven G. (Eds) Handbook of research methods in industrial and organizational psychology (pp 119-137) . New York: John Wiley & Sons.

Week 09

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 18 (Categorical Data)
  • Howell, D. C. (2006).  Statistical methods for psychology. (6th edition). USA: Thomson Wadsworth , Chapter 6 (Categorical data and chi square)
  • Rogers, J. L., Howard, K. I., & Vessey, J. T. (1993). Using significance tests to evaluate equivalence between two experimental groups. Psychological bulletin, 113(3), 553.
  • Barker, L. E., Luman, E. T., McCauley, M. M., & Chu, S. Y. (2002). Assessing equivalence: an alternative to the use of difference tests for measuring disparities in vaccination coverage. American Journal of Epidemiology, 156(11), 1056-1061.

Week 10

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 19 (Logistic Regression)
  • Heiman, G. W. (2006). Basic statistics for the behavioral sciences (6th Ed.). City: Cengage. Chapter 21 (Chi square and other nonparametric statistical procedures)
  • Wickens, T. D. (2014). Multiway contingency tables analysis for the social sciences. Psychology Press. Chapter 1 (Introduction)
  • Wickens, T. D. (2014). Multiway contingency tables analysis for the social sciences. Psychology Press. Chapter 2 (Two-way tables)

Week 11

  • Field, A. P. (2013). Discovering statistics using IBM SPSS Statistics: and sex and drugs and rock ‘n’ roll (fourth edition). London: Sage.  Chapter 8 (Comparing Two Means)
  • Hadzi‐Pavlovic, D. (2008). Diagnostic tests: I. Basics. Acta Neuropsychiatrica, 20(3), 162-164.
  • Hadzi‐Pavlovic, D. (2008). Diagnostic tests: II. Comparing cut‐offs. Acta Neuropsychiatrica, 20(4), 220-222.
  • Hadzi‐Pavlovic, D. (2008). Diagnostic tests: III. Optimal cut‐offs. Acta Neuropsychiatrica, 20(5), 273-276.
  • Meirik (http://www.gfmer.ch/Books/Reproductive_health/Cohort_and_case_control_studies.html)

Week 12

  • Afifi, A., May, S., & Clark, V. A. (2003). Computer-aided multivariate analysis. CRC Press. Chapter 12 (Logistic Regression)

Week 13

  • Norusis, Marija. SPSS 16.0 statistical procedures companion. Prentice Hall Press, 2008.Chapter 16 (Cluster Analysis)
  • Mackert, M., & Walker, L. O. (2011). Cluster analysis identifies subpopulations for health promotion campaign design. Public Health Nursing, 28(5), 451-457.
  • Clatworthy, J., Buick, D., Hankins, M., Weinman, J., & Horne, R. (2005). The use and reporting of cluster analysis in health psychology: A review. British journal of health psychology, 10(3), 329-358.
  • Shaw, S. Y., Shah, L., Jolly, A. M., & Wylie, J. L. (2008). Identifying heterogeneity among injection drug users: a cluster analysis approach. American Journal of Public Health, 98(8), 1430.

Week 14

CLP 6529

Week 01

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574, Chapters 1, 2, 3, 4 and 5
  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications.Chapters 2 and 3
  • Afifi, A. A., & Clark, V. (1996).  Computer-aided multivariate analysis (3rd Ed.).  New York:  Chapman and Hall, Chapter 1
  • Grimm, L. G., & Yarnold, P. R. (Eds.).  (1995).  Reading and understanding multivariate statistics.  Washington, DC:  American Psychological Association, Chapter 1

Week 02

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574, Chapter 7
  • Field, A. (2005). Discovering statistics using SPSS (2nd Ed.).  Thousand Oaks, CA:  Sage Publications, Chapter 14
  • Grimm, L. G., & Yarnold, P. R. (Eds.).  (1995).  Reading and understanding multivariate statistics.  Washington, DC:  American Psychological Association, Chapter 8
  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapter 9

Week 03

  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapters 10 & 11
  • Hair, J. E., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998).  Multivariate Data Analysis (5th. Ed.).  Upper Saddle River, NJ:  Prentice Hall, Chapter 6

Week 04

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574.Chapter 8
  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications.Chapters 10 & 11
  • Hair, J. E., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998).  Multivariate Data Analysis (5th. Ed.).  Upper Saddle River, NJ:  Prentice Hall, Chapter 6

Week 05

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574, Chapter 9
  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapter 7
  • Afifi, A. A., & Clark, V. (1996).  Computer-aided multivariate analysis (3rd Ed.).  New York:  Chapman and Hall, Chapter 11

Week 06

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574, Chapter 15
  • Hox, J.  (2002).  Multilevel Analysis Mahwah, NJ: Lawrence Erlbaum Associates, Chapters 1, 2, 3, & 4

Week 07

  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press
  • Luke, D. A. (2004).  Multilevel Modeling.  Thousand Oaks, CA:  Sage Publications, Chapters 1 & 2
  • Kreft, I., & De Leeuw, J. (1998).  Introducing multilevel modeling.  Thousand Oaks, CA:  Sage Publications, Chapters 1, 2, 3, 4, & 5

Week 08

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574, Chapter 13
  • Grimm, L. G., & Yarnold, P. R. (Eds.).  (1995).  Reading and understanding multivariate statistics.  Washington, DC:  American Psychological Association, Chapter 4
  • Gorsuch, R. L. (1983).  Factor analysis (2nd Ed.).  Hillsdale, NJ:  Lawrence Erlbaum Associates, Chapter 1

Week 09

  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapter 12
  • Gorsuch, R. L. (1983).  Factor analysis (2nd Ed.).  Hillsdale, NJ:  Lawrence Erlbaum Associates, Chapters 2 & 8

Week 10

  • Hair, J. E., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998).  Multivariate Data Analysis (5th. Ed.).  Upper Saddle River, NJ:  Prentice Hall, Chapter 3
  • Gorsuch, R. L. (1983).  Factor analysis (2nd Ed.).  Hillsdale, NJ:  Lawrence Erlbaum Associates, Chapter 9

Week 11

  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapter 13.
  • Grimm, L. G., & Yarnold, P. R. (Eds.).  (1995).  Reading and understanding multivariate statistics.  Washington, DC:  American Psychological Association.Chapter 7
  • Arbuckle, J. L. (2016). IBM® SPSS® Amos™ 24 User’s Guide. New York: IBM.

Week 12

  • Tabachnick, B. G., & Fidell, L. S. (2013).  Using multivariate statistics (6th. Ed.).  Boston, MA: Pearson. ISBN-10: 0205849571 ISBN-13:  9780205849574.Chapter 14.
  • Grimm, L. G., & Yarnold, P. R. (Eds.).  (2000).  Reading and understanding more multivariate statistics.  Washington, DC:  American Psychological Association Chapter 8
  • Hair, J. E., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998).  Multivariate Data Analysis (5th. Ed.).  Upper Saddle River, NJ:  Prentice Hall, Chapter 11

Week 13

  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapter 14
  • Grimm, L. G., & Yarnold, P. R. (Eds.).  (1995).  Reading and understanding multivariate statistics.  Washington, DC:  American Psychological Association, Chapter 3

Week 14

  • Meyers, L. W., Gamst, G., & Guarino, A. J. (2006).  Applied Multivariate Research: Design and Interpretation. Thousand Oaks, CA:  Sage Publications, Chapter 15

CLP 7525

Week 01

    • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapter 1.
    • Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2004).  Applied Longitudinal Analysis.  Hoboken, NJ: Wiley. Chapter 2.
    • Cronbach, L. J, & Furby, L. (1970).  How should we measure “change” — or should we?  Psychological Bulletin, 74, 68-80.
    • Nesselroade, J. R., & Cable, D. G. (1974).  “Sometimes it’s okay to factor difference scores”–The separation of state and trait anxiety.  Multivariate Behavior Research, 9, 272-283.
    • Baltes, P. B., Nesselroade, J. R., Schaie, K. W., & Labouvie, E. W. (1972).  On the dilemma of regression effects in examining ability-level-related differentials in ontogenetic patterns of intelligence.  Developmental Psychology, 6, 78-84.
    • Dudek, F. J. (1979).  The continuing misinterpretation of the standard error of measurement.  Psychological Bulletin, 86, 335-337.
    • Saczynkski, J. S., Willis, S. L., & Schaie, K. W. (2002).  Strategy use in reasoning training with older adults.  Aging Neuropsychology and Cognition, 9, 48-60.
    • Temkin, N. R., Heaton, R. K., Grant, I., & Dikmen, S. S. (1999).   Detecting significant change in neuropsychological test performance: A comparison of four models.  Journal of the International Neuropsychological Society, 5, 357–369.

Week 02

  • Bollen, K. A. & Curran, P. J. (2006).  Latent Curve Models: A Structural Equation Perspective.  Hoboken, NJ: Wiley. Chapter 1.
  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapter 3.
  • Collins, L. M., & Sayer, A.G. (Eds). (2001). New Methods for the Analysis of Change.  Washington, DC: American Psychological Association. Chapter 2.
  • Collins, L. M., & Horn, J.L. (Eds). (1991). Best Methods for the Analysis of Change: Recent Advances, Unanswered Questions, Future Directions.  Washington, DC: American Psychological Association. Chapter 6.
  • Kristjansson, S.D., Kircher, J. C., & Webb, A. K. (2007). Multilevel models for repeated measures research designs in psychophysiology: An introduction to growth curve modeling  Psychophysiology, 44, 728–736.

Week 03

  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapters 4 & 5.
  • Cillessen, A. H. N., & Borch, C. (2006).  Developmental trajectories of adolescent popularity: A growth curve modelling analysis.  Journal of Adolescence, 29, 935-959.

Week 04

  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapter 6.

Week 05

  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapter 8.
  • Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006).  An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Second Edition).  Mahwah, NJ: Lawrence Erlbaum Associates. Chapters 1 & 2.
  • Collins, L. M., & Sayer, A.G. (Eds). (2001). New Methods for the Analysis of Change.  Washington, DC: American Psychological Association. Chapter 3.
  • Cattaneo, L. B., Stuewig, J., Goodman, L. A., Kaltman, S., & Dutton, M. A. (2007). Longitudinal helpseeking patterns among victims of intimate partner violence: The relationship between legal and extralegal services. American Journal of Orthopsychiatry, 77, 467-477.

Week 06

  • Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006).  An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Second Edition).  Mahwah, NJ: Lawrence Erlbaum Associates. Chapter 3.
  • Bollen, K. A. & Curran, P. J. (2006).  Latent Curve Models: A Structural Equation Perspective.  Hoboken, NJ: Wiley. Chapters 2, 3, & 4.
  • Collins, L. M., & Sayer, A.G. (Eds). (2001). New Methods for the Analysis of Change.  Washington, DC: American Psychological Association. Chapter 4.
  • Ram, N. & Grimm, K. (2007).  Using simple and complex growth models to articulate developmental change: Matching theory to method. International Journal of Behavioral Development, 31, 303-316.

Week 07

  • Bollen, K. A. & Curran, P. J. (2006).  Latent Curve Models: A Structural Equation Perspective.  Hoboken, NJ: Wiley. Chapter 5.
  • Lenzenweger, M. F.& Willett, J. B. (2007).  Predicting individual change in personality disorder features by simultaneous individual change in personality dimensions linked to neurobehavioral systems: The longitudinal study of personality disorders, Journal of Abnormal Psychology, 116, 684-700.

Week 08

  • Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006).  An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Second Edition).  Mahwah, NJ: Lawrence Erlbaum Associates. Chapter 4.
  • Bollen, K. A. & Curran, P. J. (2006).  Latent Curve Models: A Structural Equation Perspective.  Hoboken, NJ: Wiley. Chapter 7.
  • Collins, L. M., & Sayer, A.G. (Eds). (2001). New Methods for the Analysis of Change.  Washington, DC: American Psychological Association. Chapter 6.
  • Gottfried, A. E., Marcoulides, G. A, Gottfried, A. W., Oliver, P. H., & Guerin, D. W. (2007).  Multivariate latent change modeling of developmental decline in academic intrinsic math motivation and achievement: Childhood through adolescence. International Journal of Behavioral Development, 31, 317-327.
  • Christensen, H., Mackinnon, A., Jorm, A. F., Korten, A., Jacomb, P., Hofer, S. M., & Henderson, S. (2004).  The Canberra longitudinal study: Design, aims, methodology, outcomes and recent empirical investigations. Aging, Neuropsychology, and Cognition, 11, 169-195.

Week 09

  • Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006).  An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Second Edition).  Mahwah, NJ: Lawrence Erlbaum Associates. Chapters 5, 6 & 8
  • Walls, T.A., & Schafer, J. L. (2006).  Models for Intensive Longitudinal Data.  London: Oxford University Press. Chapters 11 & 1
  • Tabachnick, B.G., & Fidell, L. S. (2007).  Using Multivariate Statistics (Fifth Edition, Chapter 18, Time Series, pp. 18.1-18.63).
  • McCrae, C. S., McNamara, J. P. H., Rowe, M. A., Dzierzewski, J. M., Dirk, J., Marsiske, M., & Craggs, J. G. (in press). Sleep and affect in older adults:  Using multilevel modeling to examine daily associations. Journal of Sleep Research.
  • Salthouse, T. A., Nesselroade, J. R., Berish, D. E. (2006). Short-term variability in cognitive performance and the calibration of longitudinal change. Journal of Gerontology: Psychological Sciences, 61B, P144-P151

Week 10

  • Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006).  An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Second Edition).  Mahwah, NJ: Lawrence Erlbaum Associates. Chapter 11
  • Collins, L. M., & Sayer, A.G. (Eds). (2001). New Methods for the Analysis of Change.  Washington, DC: American Psychological Association. Chapters 11 & 12.
  • Duncan, S. C., Duncan, T. E., Strycker, L. A., & Chaumeton, N. R. (2007).  A Cohort-Sequential Latent Growth Model of Physical Activity From Ages 12 to 17 Years. Annals of Behavioral Medicine, 33, 80-89
  • Morgan-Lopez, A. A.& Fals-Stewart, W. (2007). Analytic methods for modeling longitudinal data from rolling therapy groups with membership turnover, Journal of Consulting and Clinical Psychology, 75, 580-593.
  • Graham, J. W., Taylor, B. J., Olchowski, A. E., & Cumsille, P. E. (2006). Planned Missing Data Designs in Psychological Research. Psychological Methods, 11, 323-343.

Week 11

  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapters 9, 10, & 11
  • Edelen, M. O., Tucker, J. S., & Ellickson, P. L. (2007).  A discrete time hazards model of smoking initiation among West Coast youth from age 5 to 23. Preventive Medicine: An International Journal Devoted to Practice and Theory, 44, 52-54.

Week 12

  • Singer, J. D., & Willett, J.B. (2003).  Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.  London: Oxford University Press. Chapter 13.
  • McHugh, M. D. (2007). Readiness for change and short-term outcomes of female adolescents in residential treatment for anorexia nervosa. International Journal of Eating Disorders. 40, 602-612.

Week 13

  • none

Week 14

  • none