CANCELLED:  APS in Chicago:  May 21 - 24, 2020; Virtual Showcase July 1 - September 1

Online Department Meetups:  Thursdays 2:30 - 3:30

2020

JULY

AUGUST

• Summer 2020
• Networks Part II -- Follow-Up to Winter 2017-2018
• Background Reading:  Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5-13. (pdf)
• Part A
• See Steinley, Hoffman, Brusco, & Sher (2017) below or here
• Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (in press - 2018). Investigating the utility of fixed-margin sampling in network psychometrics. Multivariate Behavioral Research,  https://doi.org/10.1080/00273171.2018.1489771 (pdf)
• Part B
• Forbes, M. K., Wright, A. G. C., Markon, K. E., & Kruger, R. F. (in press - 2019). Quantifying the reliability and replicability of psychopathology network characteristics. Multivariate Behavioral Research,   DOI: 10.1080/00273171.2019.1616526. (pdf)
• Fried, E. I., van Borkulo, C. D., & Epskamp, S. (in press - 2019). On the importance of estimating parameter uncertainty in network psychometrics: A response to Forbes et al. (2019).  Multivariate Behavioral Research, DOI: 10.1080/00273171.2020.1746903 (pdf)
• Jones, P. J., Williams, D. R., & McNally. R. J. (in press). Sampling variability is not nonreplication: A Bayesian reanalysis of Forbes, Wright, Markon, & Kruger. (pdf)
• Part C
• Williams, D. R. (in press). Learning to live with sampling variability: Expected replicability in partial correlation networks. (pdf)
• Williams, D. R., & Rast, P. (in press). Back to the basics: Rethinking partial correlation network methodology. (pdf)
• Williams, D. R., Rhemtulla, M, Wysocki, A. C., & Rast, P. (2019). On nonregularized estimation of psychological networks. Multivariate Behavioral Research, 54(5), 719-750.  https://doi.org/10.1080/00273171.2019.1575716 (pdf)
• Generalizability
• Yarkoni, T. (2019, November 22). The Generalizability Crisis. https://doi.org/10.31234/osf.io/jqw35
• Lakins, D. (2020, January 20). "Review of "The Generalizability Crisis" by Tal Yarkoni. The 20% Statistician: A blog on statistics, methods, philosophy of science, and open science. Understanding 20% of statistics will improve 80% of your inferences. http://daniellakens.blogspot.com/2020/01/review-of-generalizability-crisis-by.html

• Spring 2019-2020
• Straiss, G. P., Esfahlani, F. Z., Kirkpatrick, B., Allen, D N., Gold, J. M.,Visser, K. F., & Sayama, H. (2019). Network analysis reveals which negative symptom domains are most central in schizophrenia vs bipolar disorder. Schizophrenia Bulletin, 45(6), 1319–1330, 2019. (pdf)
• Winter, B., & Wieling, M. (2016). How to analyze linguistic change using mixed models, growth curve analysis, and generalized additive modeling. Journal of Language Evolution, 1(1), 7-18. (link, R markdown).
• Epskamp, S., Rhemtulla, M.T., & Borsboom, D. (2017). Generalized Network Psychometrics: Combining Network and Latent Variable Models. Psychometrika. doi:10.1007/s11336-017-9557-x (link; pre-print archive link; supplementary codes) 
• Greg's Notes, Big Five Code, and Chapter
• Steve Presentations
• COVID-19 Modeling (R code, pdf)
• Time Series and Tweets (R Markdown)
• HEXACO
• Ashton, M. C., & Lee, K. (2001). A theoretical basis for the major dimensions of personality.  European Journal of Personality, 15, 327-353.  (pdf)
•  Ashton, M. C., & Lee, K. (2020). Objections to the HEXACO model of personality structure—and why those objections fail. European Journal of Personality. (pdf)  
• Lynam, D. R., Crowe, M. L., Vize, C., & Miller, J. D. (in press). Little evidence that honesty-humility lives outside of FFM agreeableness.  European Journal of Personality. (pdf)
• Phan, L. V., Modersitzki, N., Kupar, N., & Rauthmann, J. F. (in press). Comparing the nomological networks of the Big Five and HEXACO models. European Journal of Personality. (pdf)
• Srivastava, S. (in press). Personality structure: Who cares? European Journal of Personality Psychology. (pdf)
• Wiernik, B. M., Yarkoni, T., Giordano, C. A., & Raghaven, M. (in press). Two, five, six, eight (thousand): Time to end the dimension reduction debate! European Journal of Personality. (pdf)

• Winter 2019-2020
• Bedi, G.,Cecchi, G. A.,Slezak, D. F., Carrillo, F., Sigman, M., & de Wit, H. (2014). A window into the intoxicated mind? Speech as an index of psychoactive drug effects. Neuopsychopahrmacology, 39, 2340-2348. (pdf)
• Infurna, F. J., & Grimm, K. J. (2018). The use of growth mixture modeling for studying resilience to major life stressors in adulthood and old age: Lessons for class size and identification and model selection. Journal of Gerontology: Psychological Sciences, 73(1), 148-159. (pdf)
• Fong, T. C. T., & Ho, R. T. H. (2013). Factor analyses of the Hospital Anxiety and Depression Scale: A Bayesian structural equation modeling approach. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation, 22(10), 2857–2863. (pdf)

• Fall 2019-2020
• Multilevel structural equation modeling (book, link to readings, .txt, R code)
• Lane, S. T. & Gates, K. M, (2017). Automated selection of robust individual-level structural equation models for time series data. Structural Equation Modeling: A Multidisciplinary Journal. 1-15.  (pdf)

• Winter, 2018-2019
• Sisk, V. F., Burgoyne, A. P., Sun, J., Butler, J. L., & Macnamara,B. N. (2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychological Science, 29(4), 549-571. (pdf)
• Dweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95(2), 256-273. (pdf)

• Summer 2018
• Napier, J. L., Huang, J., Vonasch, A. J., & Bargh, J. A. (in press).  Superheroes for change: Physical safety promotes socially (but not economically) progressive attitudes among conservatives. European Journal of Social Psychology. (pdf) 
• Rohrer, J. M. (in press). Thinking clearly about correlations and causation:  Graphical causal models for observational data, Advances in Methods and Practices in Psychological Sciences, 1, xxx-yyy (pdf) 
• Learning R

• Date	Topic	Presenter	SPSS/Excel/pdf	R	Slides
  6/20	Intro to R	Steve	.sav	.R (1),  .R (2)	.doc
  6/27	General and Generalized Linear Models	Steve	my thesis .sav, Jessica .sav, Titanic .sav	.R	.pptx
  7/11	Exploratory Factor Analysis and Reliability	Steve	N/A	.R	N/A
  7/18	Structural Equation Modeling	Brandon	.pdf	.R	.pptx
  7/25	Multilevel Modeling	Sophie	.xls	.R	.pptx
  8/1	Taxometrics and Mixture Models	Karol	.sav	.R	.pptx
  8/20	Networks	Greg	.sav	.R	.pptx

• Spring 2018
• Charles, S. T., Reynolds, C. A., & Gatz, M. (2001). Age-related differences and change in positive and negative affect over 23 years. Journal of Personality and Social Psychology, 80, 136-151. (pdf) 
• Rafaeli, E. & Revelle, W. (2006). A premature consensus: Are happiness and sadness truly opposite affects? Motivation and Emotion, 30, 1-12. (pdf) 
• Hamaker, E.L., Asparouhov, T., Brose, A., Schmiedek, F. & Muthén, B. (in press). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study. Multivariate Behavioral Research. (pdf) 
• Blagov, P. S., Patrick, C. J., Lilienfeld, S. O., Powers, A. D., Phifer, J. E., Venables, N., Hudak, M., Herres, D. J., Leib, K., Garvin Leigh, S. C., & Cooper, G. (2011). Personality constellations in incarcerated psychopathic man. Personality Disorders: Theory, Research, and Treatment, 2, 293-315.  (pdf) 
• Morina, N., Ijntema, H., Meyerbröker, K., & Emmelkamp, P. M. G. (2015). Can virtual reality exposure gains be generalized to real-life?  A meta-analysis of studies applying behavioral assessments. Behavior Research and Therapy, 74, 18-24. (pdf) 

• Winter, 2017-2018
• Personality and Networks  (a relevant link) (a second relevant link)
• Borsboom, D., Fried, E., Epskamp, S., Waldorp, L. J., van Borkulo, C. D., Van der Maas, H. L. J., & Cramer, A. O. J. (in press). False alarm? A comprehensive reanalysis of "Evidence that psychopathology symptom networks have limited replicability" by Forbes, Wright, Markon, and Krueger. (pdf)
• Steinley, D., Hoffman, M., Brusco, M. J., & Sher, K. J. (2017). A method for making inferences in network analysis: Comment on Forbes, Wright, Markon, and Krueger (2017). Journal of Abnormal Psychology, 126(7), 1000-1010. (pdf)
• Forbes, M. K., Wright, A. C., Markon, K. E., & Krueger, R. F. (2017). Further evidence that psychopathology networks have limited replicability and utility: Response to Borsboom et al. (2017) and Steinley et al. (2017). Journal of Abnormal Psychology, 126(7), 1011-1016. (pdf)
• Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (in press). The right answer to the wrong question: Utility of fixd-margin sampling in network psychometrics.(pdf)
• Mixed Emotions
• Cacioppo, J. T., Gardner, W. L., & Berntson, G. G. (1997). Beyond bipolar conceptualizations and measures: The case of attitudes and evaluative space. Personality and Social Psychology Review, 1(1), 3-25. (pdf)
• Schimmack, U. (2001). Pleasure, displeasure, and mixed feelings: Are semantic opposites mutually exclusive? Cognition and Emotion, 15(1), 81-97. (pdf)
• Larsen, J. T., McGraw, A. P., & Cacioppo, J. T. (2001). Can people feel happy and sad at the same time? Journal of Personality and Social Psychology,  81(4). 684-696. (pdf)
• Rafaeli, E. & Revelle, W. (2006). A premature consensus: Are happiness and sadness truly opposite affects? Motivation and Emotion. 30, 1-12. (pdf)
• Rafaeli, E., Rogers,G. M., & Revelle, W. (2007). Affective synchrony: Individual differences in mixed emotions. Personality and Social Psychology Bulletin, 33, 915-932. (pdf)

• Fall, 2017 
• Personality
• Wright, A. G. C., Gates, K. M., Arizmendi, C., Lane, S., Woods, W. C., & Edershile, E. A. (in press). Focusing personality assessment on the person: Modeling general, shared, and person specific processes in personality and psychopathology. Psychological Assessment. (pdf)
• Forbes, M. K., Wright, A. G. C, Markon, K. E., & Kruger, R. F. (in press). Evidence that psychopathology symptom networks have limited replicability. Journal of Abnormal Psychology. (pdf)

• May, 2017
• Epskamp, S. Waldorp, L. J., Mõttus, R., & Borsboom, D. (under review).  Discovering psychological dynamics: The Gaussian graphical model in cross-sectional and time-series data.  Multivariate Behavioral Research. (pdf)

• March, 2017
• Van Horn, M. L., Jaki, T., Masyn, K., Landesman Ramey, S., Smith, J. A., & Antaramian, S. (2009). Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement.  Developmental Psychology, 45(5), 1298–1313. doi:10.1037/a0016427. (pdf)
• Kaplan, D. (2005).  Finite mixture dynamic regression modeling of panel data with implications for dynamic response analysis. Journal of Educational and Behavioral Statistics, 30(2), 169-187. (pdf)
• Pages from Chapter 7 of the Mplus Manual on Regression Mixture Modeling
• Fried, E., I., & Cramer, A. O. J. (in press). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science. (pdf, R code)
• Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5-13. (pdf)

• September, 2016
• Plunkett, S. W. (no date). Tips on poster presentations at professional conferences.  [Retrieved September 13, 2016 from:  https://www.csun.edu/plunk/documents/poster_presentation.pdf].  (pdf)

• July, 2016
• Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric group-based approach. Psychological Methods, 5(2), 139-157. (pdf)

• April, 2016
• Maydeu-Olivares, A., & Coffman, D. L. (2006). Random intercept item factor analysis.  Psychological Methods, 11(4), 344-362. (pdf)
• Borsboom,. D. Rhemtulla, M., Cramer, A. O. J., van der Maas, H. O. J., Scheffer, M., & Dolan, C. V. (in press). Kinds versus continua: a review of psychometric approaches to uncover the structure of psychiatric constructs. Psychological Medicine, XX, YY-ZZ. (pdf)
• Masyn, K., Henderson, C. E., Greenbaum, P. E. (2010). Exploring the latent structures of psychological constructs in social development using the dimensional–categorical spectrum.  Social Development, 19(3), 470-493. (pdf)

• March, 2016
• Rimfeld, K., Kovas, Y., Dale, P. S., & Plomin, R. (in press). True grit and genetics: Predicting academic achievement from personality. Journal of Personality and Social Psychology. (pdf)

• February, 2016
• Parkinson, B., & Totterdell, P. (1999). Classifying affect-regulation strategies. Cognition & Emotion, 13(3), 277-303. (pdf)

• January, 2016
• Ahola , K., Hakanen, J., Perhoniemi, R., Mutanen, P. (2014). Relationship between burnout and depressive symptoms: A study using the person-centered approach. Burnout Research, 1, 29-37. (pdf)
• Catanzaro, S. J., & Mearns, J. (1990). Measuring generalized expectancies for negative mood regulation: Initial scale development and implications. Journal of Personality Assessment, 54, 546-563. (pdf)
• Gross, J.J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2, 271-299. (pdf)

• December, 2015
• Ruscio, J., Ruscio, A. M., & Carney, L. M. Performing taxometric analysis to distinguish categorical and dimensional variables. Journal of Experimental Psychopathology,  2(2), 170-196. (pdf)
• Ruscio, J., Walters, G. D., Marcus, D. K., & Kaczetow, W. (2010). Comparing the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment, 22(1), 5-21. (pdf)
• Trull, T.J., Solhan, M. B., Tragesser, S. L., Jahng, S., Wood, P. K., Piasecki, T. M., & Watson, D. (2008). Affective instability: Measuring a core feature of borderline personality disorder with ecological momentary assessment. Journal of Abnormal Psychology, 117(3), 647-661. (pdf)

• November, 2015
• No Articles

• October, 2015
• Franche, V., & Gaudrea, P. (in press - January, 2016). Integrating dispositional perfectionism and within-person variation of perfectionism across life domains into a multilevel extension of the 2 x 2 model of perfectionism. Personality and Individual Differences, 89, 55-59. (pdf)  
• Hewitt, P. L., Flett, G. L., Turnbull-Donovan, W., & Mikail, S. F. (1991). The multidimensional perfectionism scale. Psychological Assessment, 3, 464-468. (pdf)

• September, 2015
• Callahan, J. L., Hogan, L. R., Klonoff, E. A., & Collins, F. L., Jr. (2014). Predicting match outcomes: Science, practice, and personality. Training and Education in Professional Psychology, 8, 68-82. (pdf)
• Frost, R. O., Marten, P. Lahart, C., & Rosenblate, R. (1990). The dimensions of perfectionism. Cognitive Therapy and Research, 14, 449-468. (pdf)
• Gnilka, P. B., Ashby, J. S., & Noble, C. M. (2013). Adaptive and maladaptive perfectionism as mediators of adult attachment styles and depression, hopelessness, and life satisfaction. Journal of Counseling and Development, 91, 78-86. (pdf)
• JASP
• Preacher, K. J., Zhang, Z., & Zyphur, M. J. (in press). Multilevel structural equation models for assessing moderation within and across levels of analysis.Psychological Methods. (pdf) (appendix)
• Slaney, R. B., Rice, K. G., Mobley, M., Trippi, J., & Ashby, J. S. (2001). The revised almost perfect scale. Measurement and Evaluation in Counseling and Development, 34, 130-145. (pdf)
• van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & van Aken, M. A. (2014). A gentle introduction to Bayesian analysis: Application to developmental research (pdf) (appendix)
• West, S. G., Ryu, E., Kwok, O.-M., & Cham, H. (2011). Multilevel modeling: Current and future applications in personality research. Journal of Personality, 79, 2-49. (pdf) 

• August, 2015
• Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1, 311-320. (pdf)
• Bem, D. J. (1995). Writing a review article for Psychological Bulletin. Psychological Bulletin, 118(2), 172-177. (pdf) 
• Bem, D. J. (2002). Writing the empirical journal article.  In J. M., Darley, M. P. Zanna, & H. L. Roediger III (Eds.), The compleat academic: A career guide. (pp. xx-yy). Washington, DC: American Psychological Association. (pdf)
• Cronbach, L. J. (1957). The two disciplines of scientific psychology. American Psychologist, 12(11), 671-684. (pdf)
• Davis, M. S. (1971). That’s interesting!: Towards a phenomenology of sociology and a sociology of phenomenology. Philosophy of the Social Sciences, 1, 309–344. (pdf) 
• Garrison, A. M., Kahn, J. H., Miller, S. A., & Sauer, E. M.  (2014). Emotional avoidance and rumination as mediators of the relation between adult attachment and emotional disclosure.  Personality and Individual Differences, 70, 239-245.  (pdf)
• Nesselroade, J. R. (2010). On an emerging third discipline of scientific psychology. In P. C. M. Molenaar & K. M. Newell (Eds.), Individual pathways of change: Statistical models for analyzing learning and development. (pp. 209--218). Washington, DC: American Psychological Association. (pdf)
• Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15, 209-233. (pdf)
• Rosenthal, R. (1995). Writing meta-analytic reviews. Psychological Bulletin, 118, 183-191. (pdf) 

• July, 2015
• Steve CHP Talk
• Basto, M., & Pereira, J. M. (2012). An SPSS R-Menu for ordinal factor analysis. Journal of Statistical Software, 46(4), 1-29. (pdf) 
• Barrett, L. F. (2006). Solving the emotion paradox: Categorization and the experience of emotion. Personality and Social Psychology Review, 10(1), 20-46. (pdf)
• Barrett, L. F., & Barrett, D. (2015, July 5). Brain scientist: How Pixar's 'Inside Out' gets one thing deeply wrong. Retrieved from [http://clbb.mgh.harvard.edu/how-pixars-inside-out-gets-one-thing-deeply-wrong/].
• Gendron, M., & Barrett, L. F. (2009). Reconstructing the past: A century of ideas about emotion in psychology. Emotion Review, 1(4), 316-339. (pdf).
• Meehl, P. E. (1992). Factors and taxa, traits and types, differences of degree and differences in kind. Journal of Personality, 60, 117-174. (pdf)
• Meehl, P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist, 50, 266-274. (pdf)
• Meehl, P. E., & Yonce, L. J. (1994). Taxometric analysis: I. Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure). Psychological Reports, 74, 1059-1274. (pdf)
• Meehl, P. E., & Yonce, L. J. (1996). Taxometric analysis: II. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (MAXCOV procedure). Psychological Reports, 78, 1091-1227. (pdf)
• Revelle, W. (2015). psych: Procedures for Personality and Psychological Research. R package version 1.5.1, http://personality-project.org/r/psych-manual.pdf 
• Ruscio's Taxometrics Page

• June, 2015
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112,  155-159. (pdf)
• Steve UIC Talk

• May 2015
• Comensoli, A., & MacCann, C. (2015). Emotion appraisals predict neuroticism and extraversion: A multilevel investigation of the Appraisals in Personality (AIP) model. Journal of Individual Differences, 36, 1-10. (pdf)
• Hedeker, D., Mermelstein, R.J., Berbaum, M.L., & Campbell, R.T. (2009). Modeling mood variation associated with smoking: An application of a heterogeneous mixed-effects model for analysis of Ecological Momentary Assessment (EMA) data. Addiction, 104, 297-307. (pdf) (SAS code - Hedeker handout)

• April, 2015
• Bradley, M. M., & Lang, P. J (2007). The International Affective Picture System (IAPS) in the study of emotion and attention. In J. A. Coan & J. J. B. Allen (Eds.). Handbook of Emotion Elicitation and Assessment (pp. 29 - 46). New York: Oxford University Press. (pdf)
• Pe, M. K., Kircanski, K., Thompson, R. J., Bringmann, L. F., Tuerlinckx, F., Mestdagh, M., Mata, J., Jaeggi, S. M., Buschkuehl, M., Jonides, J., Kuppens, P., & Gotlib, I. H. (2015). Emotion-network density in major depression.  Clinical Psychological Science, 3(2), 292-300. (pdf) (Related R code by Sacha Epskamp)
• Salerno, A., Laran, J., & Janiszewski, C. (2014). Hedonic eating goals and emotion: When sadness decreases the desire to indulge. Journal of Consumer Research, 41, 135-151. (pdf)
• Wigman, J. T. W., van Os, J., Borsboom, D., Viechtbauer, W.,  Wardenaar, K. J., Myin-Germeys, I., & Wichers, M. (in press). Exploring the underlying structure of mental disorders: cross-diagnostic differences and similarities from a network perspective using both a top-down and a bottom-up approach. Psychological Medicine. (pdf)

• March, 2015
• Barrett, L. F., Gross, J., Conner, T., & Benvenuto, M. (2001). Knowing what you’re feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation. Cognition and Emotion, 15(6), 713-724. (pdf)
• Kashdan, T. B., Barrett, L. F., & McKnight, P. E. (2015). Unpacking emotion differentiation: Transforming unpleasant experience by perceiving distinctions in negativity. Current Directions in Psychological Science, 24(1), 10-16. (pdf)
• Quoidbach, J., Gruber, J., Mikolajczak, M., Kogan, A., Kotsou, I & Norton, M. I. (in press). Emodiversity and the emotional ecosystem. Journal of Experimental Psychology: General. (pdf)

• February, 2015
• Tugade, M. M., Fredrickson, B. L., & Barrett, L. F. (2004). Psychological resilience and emotional granularity:  Examining the benefits of positive emotions on coping and health.  Journal of Personality, 72, 1161 – 1190. (pdf)

• January, 2015
• Topper, M., Molenaar, D., b, Emmelkamp, P. M. G., & Ehring, T. (2014). Are rumination and worry two sides of the same coin? A structural equation modelling approach, Journal of Experimental Psychopathology, 5(3), 363-381. (pdf)

• December, 2014
• Snyder, C. R., Harris, C., Anderson, J. R., Holleran, S. A., Irving, L. M., Sigmon, S. X., Yoshinobu, L., Gibb, J., Langelle, C., & Harney, P. (1991). The will and the ways: Development and validation of an individual-differences measure of hope. Journal of Personality and Social Psychology, 60(4), 570-585. (pdf)

• November, 2014
• Fleeson, W., & Jayawickreme, E. (in press). Whole trait theory. Journal of Research in Personality. (pdf)

• October, 2014
• Bryant, F. B., & Cvengros, J. A. (2004). Distinguishing hope and optimism: Two sides of a coin, or two separate coins?  Journal of Social and Clinical Psychology, 23(2), 273-302. (pdf)

• September, 2014
• Robinson-Whelen, S., Kim,C.T., MacCallum,R.C., & Kiecolt-Glaser, J. K. (1997). Distinguishing optimism from pessimism in older adults: Is it more important to be optimistic or not to be pessimistic?. Journal of Personality and Social Psychology, 73(6), 1345-1353. (pdf)

• Brandon Reed's excellent notes about getting SPSS data into Mplus

• MTurk Related Articles 
• Gosling, S. D., & Vazire, S., Srivastava, S., & John, O. P. (2004). Should we trust Web-based studies? A comparative analysis of six preconceptions about Internet questionnaires. American Psychologist, 59, 93-104. (pdf)
• Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality data? Perspectives on Psychological Science, 6, 3-5.   (pdf)
• Mason, W., & Suri, S. (2011). Conducting behavioral research on Amazon's Mechanical Turk. Behavior Research Methods, 44, 1-23. (pdf)
• Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: Amazon's Mechanical Turk. Political Analysis.  (pdf)
• Germine, L., Nakayama, K., Duchaine, B. C., Chabris, C. F., Chatterjee, G., & Wimer, J. B. (2012). Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments. Psychonomic Bulletin and Review, 19, 847-857. (pdf)
• Chandler, J., Mueller, P. A., & Paolacci, G. (2013). Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers. Behavior Research Methods, 46, 112-130. (pdf)
• Shapiro, D. N., Chandler, D., & Mueller, P. A. (2013).  Using Mechanical Turk to study clinical populations. Clinical Psychological Science, 1, 213-220. (pdf)
• Crump M.J.C., McDonnell, J.V., and Gureckis, T.M. (2013) Evaluating Amazon’s Mechanical Turk as a tool for experimental behavioral research. PLoS ONE 8(3): e57410. (pdf)