Lab Schedule

2020-2021

N.B., Due to COVID-19, the current plan is to meet remotely at our regularly scheduled time via Zoom.

Important Dates:

July 19 - 23:  International Meeting of the Psychometric Society (IMPS 2021)
August 6, 2021:  Last Day Summer School

2021-2022

August 7 - 13:  JSM Annual Convention 
August 9 - August 13:  Inter-Session Break & New Student Orientation
August 12 - 14:     APA Annual Convention
August 15, 2021:   Tentative Lab BBQ/Game Night
August 16, 2021:   First Day, Fall Quarter

2020-2021 Colloquium/Laboratory Meetings: Mondays, 1:00 - 2:00 (usually; location TBA)
  • Colloquium Schedule
    • August 16 - RaeAnn Anderson, Ph.D., University of North Dakota (U.S.A.)
    • September 20 - Student Thesis Presentations (Bob Banty, George Bate, and Noelle Mastrilli)
    • October 18
    • November 15
    • December 13
    • January 10 - Student Thesis Presentations
    • February 14 - Miri Forbes, Ph.D., Macquarie University (Australia)
    • March 13 - Sacha Epskamp, Ph.D., University of Amsterdam (Netherlands)
    • April 18
    • May 9
September 6, 2021:  Labor Day, RFUMS Closed
October 11, 2021:  Indigenous People's Day, RFUMS Closed
November 5, 2021:  Last Day, Fall Quarter
November 8 - November 12, 2021:  Inter-Session Break
November 15, 2021:  First Day, Fall Quarter
November 18 - 21, 2021:  ABCT Annual Convention
November 25, 2021:  Thanksgiving, RFUMS Closed
November 25, 2021:  RFUMS Closed
December 20, 2021 - January 2, 2022:  Winter Break
January 17, 2022: Martin Luther King Jr. Day, RFUMS Closed
February 18, 2022:  Last Day, Winter Quarter
February 21 - February 25, 2022:  Inter-Session Break
February 21, 2022:  President's Day, RFUMS Closed
February 28, 2022:  First Day, Spring Quarter
March 16, 2022:  All School Research Consortium (ASRC)
April 21, 2022 - April 23, 2022:  Midwestern Psychological Association
May 23, 2022 - May 27, 2022:  Inter-Session Break
May 26, 2022 - May 29, 2022:  Association for Psychological Science Annual Convention
May 30, 2022: Memorial Day
May 31, 2022:  Summer Quarter Starts
June 2, 2022:  Tentative Awards Ceremony
June 3, 2022:  Tentative Graduation
June 19, 2022:  Juneteenth, RFUMS Closed
August 5, 2022:  Last Day, Summer Quarter
August 8, 2022 - August 12, 2022:  Inter-Session Break
August 15, 2022:  First Day, Fall Quarter

Summer 2021

July

SundayMondayTuesdayWednesdayThursdayFridaySaturday
18

 
19

Categorical
Statistics
8 - 12:30

Lunch
12:30 - 1

Greg
2 - 3

George
3 - 4

Erin
4 - 5

20

Faculty Mtg.
9 - 11

Stats Consulting
1 - 5


21

Aaminah
12 - 1

Lunch
1 - 2

Marianne
3 - 4


22

Statistics Consulting
8 -12

Victoria
12 - 1

Ben
1 - 2

MFT
2 - 3

James
6 - 7
23 

Get Samantha to Camp
8:30 - 10
24
25 26

Categorical
Statistics
8 - 12:30

Lunch
12:30 - 1

Lab Meeting:
Erin Gandelman Manuscript Revision Discussion


Greg
2 - 3

George
3 - 4

27

Get Samantha to Camp
8:30 - 10

Statistics Consulting
1 - 5

28 

Sophie
9 - 10

Aaminah
12 - 1

Lunch
1 - 2

Victoria
2 - 3

Marianne
3 - 4


29 

Get Samantha to Camp
8:30 - 10

Victoria
12 - 1

Ben
1 - 2

MFT
2 - 3

Brandon
4 - 5

James
6 - 7

GPF
8 - 9

30 

DPU
9 - 10


31

August

SundayMonday TuesdayWednesday ThursdayFriday Saturday
 1 2

Categorical
Statistics
8 - 12:30

Lunch
12:30 - 1

Greg
2 - 3

George
3 - 4

Erin
4 - 5

 3

Faculty Meeting
9 - 11

CHP Curriculum Committee
11 - 12

Lunch
12 - 1

Stats Consulting
1 - 5

 4

Get Samantha to Camp
8:30 - 10

Aaminah
12 - 1

Lunch
1 - 2

Marianne
3 - 4


 5

Get Samantha to Camp
8:30 - 10

Victoria
12 - 1

Ben
1 - 2

MFT
2 - 3

James
6 - 7
 6

Get Samantha to Camp
8:30 - 10

Last Day RFUMS Summer Session

 7
 8 9 10  

Stats Consulting
1 - 5  
 11

New Student Program
Welcome
10 - 11:30

 12

Ben
1 - 2

James
6 - 7

 13

DPU
9 - 10
 14
 15 16

First Day
Fall Quarter
RFUMS

Greg
9 - 10

George
10 - 11
(tentative)

Aaminah
11 - 12
(tentative)

Erin
12 - 1
(tentative)

Colloquium
1 - 2

Victoria
2 - 3

Sophie
3 - 4
(tentative)

Elliot
4 - 5
(tentative)


 17

Faculty Meeting
9 - 11

Stats Consulting
1 - 5

 18 19

Tentative
MFT
2 - 3
 20

Tentative
DPU
9 - 10
 21
 22 23

Lab Meeting
Article Discussion:
Validity Articles
-Cronbach & Meehl
- Borsboom,  Mellenbergh, & van Heerden, J. (2004)
-Maurun & Gabriel (2013)
1 - 2


 24

Stats Consulting
1 - 5

 25 26

Tentative
MFT
2 - 3
 27

DPU
9 - 10
 28
 29 30

Lab Meeting
1 - 2
 31

Tentative
Faculty Meeting
9 - 11

Stats Consulting
1 - 5

    

ARTICLES DISCUSSED IN LABORATORY MEETINGS
  • Spring 2021 (Conceptual Psychopathology/Phil of Science - pdfs coming soon)
    • March 1
      • McNeish, D., & Harring, J. (2020). Covariance pattern mixture models: Eliminating random effects to improve convergence and performance. Behavior Research Methods, 52, 947-979.(pdf)
    • March 15: The Nature of Psychiatric Disorders (realism, pragmatism, constructivism)
      • Kendler, K. S. (2016). The nature of psychiatric disorders. World Psychiatry, 15(1), 5 - 12. (pdf)
      • Eronen, M. I. (2018). Psychopathology and truth: A defense of realism. Journal of Medicine and Philosophy 1–19. (pdf)
      • Questions
    • March 22:   Psychiatric constructs: Categories or dimensions?
      • Borsboom, D., Rhemtulla, M., Cramer, A. O. J., van der Maas, H. L. J., Scheffer, M., & Dolan, C. V. (2016). Kinds versus continua: a review of psychometric approaches to uncover the structure of psychiatric constructs. Psychological Medicine, 1–13. (pdf)
      • Chapter 5: The nosological entity in psychiatry: a historical illusion or a moving target? Jablensky, A. In: Philosophical Issues in Psychiatry II: Nosology. Edited by K. S. Kendler & J. Parnas. (pdf)
      • Questions
    • March 29: Dysregulated adaptive mechanisms?
      • Nesse, R. M., & Stein, D. J. (2012). Towards a genuinely medical model for psychiatric nosology. BMC Medicine, 10(5), 1–9. (pdf)
      • Lilienfeld, S. O., & Marino, L. (1995). Mental Disorder as a Roschian Concept: A Critique of Wakefield ’ s "Harmful Dysfunction Analysis. Journal of Abnormal Psychology, 104(3), 411–420. (pdf)
      • Nettle, D., & Bateson, M. (2012). The Evolutionary Origins of Mood and Its Disorders. Current Biology, 22(17), R712–R721. (pdf)
      • Wakefield, J. C. (1992). The Concept of Mental Disorder On the Boundary Between Biological Facts and Social Values. American Psychologist, 47(3), 373–388. (pdf)
      • Mcnally, R. J. (2001). On Wakefield ’ s harmful dysfunction analysis of mental disorder, 39, 309–314. (pdf)
      • Questions
    • April 5:  Meeting Cancelled, readings now appear on 4/19
    • April 19: Clinicians and mental disorders
      • Kim, N. S., & Ahn, W. (2002). Clinical psychologists’ theory-based representations of mental disorders predict their diagnostic reasoning and memory. Journal of Experimental Psychology: General, 131(4), 451–476. (pdf)
      • Meehl, P. E. (1973). Why I do not attend case conferences.  In P. E. Meehl.  Psychodiagnosis: Selected papers. (pp. 225 - 302)  Minneapolis: University of Minnesota Press. (pdf)
      • Questions
    • May 3: Patients and mental disorders
      • Prins, M. A., Verhaak, P. F. M., Bensing, J. M., & Meer, K. Van Der. (2008). Health beliefs and perceived need for mental health care of anxiety and depression – The patients’ perspective explored. Clinical Psychology Review, 28, 1038–1058. (pdf)
      • Frewen, P. A., Schmittmann, V. D., Bringmann, L. F., & Borsboom, D. (2013). Perceived causal relations between anxiety, posttraumatic stress and depression: extension to moderation, mediation, and network analysis. European Journal of Psychotraumatology, 4(20656). (pdf)
      • Questions
    • May 10: Complexity
      • Bentall, R. P. (2006). Madness explained: why we must reject the Kraepelinian paradigm and replace it with a “complaint-orientated” approach to understanding mental illness. Medical Hypotheses, 66(2), 220–33. (pdf)
      • Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13. (pdf)
      • Fried, E. I., & Cramer, A. O. J. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science, 1–22. (pdf)
      • Robinaugh, D. J., Hoekstra, R. H., Toner, E. R., & Borsboom, D. (2019). The network approach to psychopathology: A review of the literature 2008-2018 and an agenda for future research. Psychological Medicine, 50(3). (pdf)
      • Cummins, R. (2000). “How does it work?” vs. “What are the laws?” Two conceptions of psychological explanation. Explanation and Cognition, 117–144. (pdf)
      • Questions
    • May 17: Theorizing
      • Haig, B. D. (2018). An abductive theory of scientific method. In Method Matters in Psychology (pp. 35-64). Springer, Cham. (pdf)
      • Meehl, P. E. (1990). Appraising and amending theories: The strategy of Lakatosian defense and two principles that warrant it. Psychological Inquiry, 1, 108-141. (pdf)
      • Zachar, P. (2015). Popper, Meehl, and progress: The evolving concept of risky test in the science of psychopathology. Psychological Inquiry, 26, 279-285. (pdf)
      • Davis-Stober, C. P., & Regenwetter, M. (2019). The ‘paradox’ of converging evidence. Psychological Review, 126, 865–879. (pdf)
      • Fried, E. I. (2020). Lack of theory building and testing impedes progress in the factor and network literature. Psychological Inquiry.  (pdf)
      • Questions
    • May 24:  Inference
      • Borsboom, D., Mellenbergh, G. J., & Van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review, 110, 203-219. (pdf)
      • Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107, 358-367.(pdf)
      • Rodgers, J. L., & Rowe, D. C. (2002). Theory development should begin (but not end) with good empirical fits: A comment on Roberts and Pashler (2000). Psychological Review, 109, 599–604. (pdf)
      • Roberts, S., & Pashler, H. (2002). Reply to Rodgers and Rowe (2002).  Psychological Review, 109, 605–607. (pdf)
      • Gelman, A., & Shalizi, C. R. (2013). Philosophy and the practice of Bayesian statistics. British Journal of Mathematical and Statistical Psychology, 66, 8-38. (pdf)
      • Questions
  • Summer, 2021
    • June 7:  Reliability/Validity
      • Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 55, 281-302. (pdf)
      • Campbell, D. T.,  & Fiske, D. T. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105. (pdf)
      • Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2004). The concept of validity. Psychological Review, 117(4), 1061-1075 (pdf)
      • Maurun, M. & Gabriel, S. M. (2013). Illegitimate concept equating in the partial fusion of construct validation theory and latent variable modeling. New Ideas in Psychology, 31, 32-42. (pdf)
      • McCrae, R.R. (2014). A more nuanced view of reliability: Specificity in trait hierarchy. Personality and Social Psychology Bulletin, 7(2), 1 - 16. (pdf)
      • Questions
  • Winter 2020-2021
    • Cole, D. A., & Milstead, M. (1989). Behavioral correlates of depression: Antecedents or consequences?  Journal of Counseling Psychology, 36(4), 408-416. (pdf)
    • Graesser, A. C., McNamara, D. S., Louwerse, M. M., & Cai, Z. (2004). Coh-Metrix: Analysis of text on cohesion and language. Behavior Research Methods, Instruments, & Computers, 36(2), 193-202. (pdf)
    • Nigg, J. T., Karalunas, S. L., Feczko, E., & Fair, D. A. (2020). Toward a revised nosology for attenition-deficit/hyperactivity disorder heterogeneity.  Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5, 726-737. (pdf, supplemental material)
    • Goh, P.K., Lee, C. A., Martel, M. M., Fillmore, M. T., Derefinko, K. J., & Lynam, D. T. (2020). Conceptualizing the UPPS-P model of impulsive personality through network analysis: Key dimensions and general robustness across young adulthood. Journal of Personality, 88(6), 1302-1314. (pdf)
  • Fall 2020
    • Networks Part II -- Follow-Up to Winter 2017-2018 (continued)
      • 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; R Markdown; Web Page)
    • Quirin, M. Robinson, M. D., Rauthmann, J. F., Kuhl, J., Read, S. J., Tops, M., & DeYoung, C. G. (in press - 2020).  The Dynamics of Personality Approach (DPA): 20 tenets for uncovering the causal mechanisms of personality. European Journal of Personality, DOI: 10.1002/per.2295 (pdf)
    • McNally, R. J., Mair, P., Mugno, B. L., & Riemann, B. C. (2017).  Co-morbid obsessive–compulsive disorder and depression: a Bayesian network approach. Psychological Medicine, 47, 1204-1214.(pdf)
    • Epskamp, S., Isvoranu, A., & Cheung, M. W. (unpublished manuscript - 2020, April 1). Meta-analytic Gaussian Network Aggregation. (pdf)
  • 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
  • Spring 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) 
    • 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 & Rehabilitation22(10), 2857–2863. (pdf)
  • Fall 2019
    • 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 Psychology126(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 mediationPsychological Methods15, 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 regulationCognition and Emotion15(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)
LABORATORY RESOURCES
  • 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 experimentsPsychonomic 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 researchersBehavior 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)
  • R Resources
    • Bill Revelle link
    • Bill's short course - Day 1
    • Bill's short course - Day 2
    • Bill's short course - Day 5
  • Articles about Psychological Organizations
    • Benjamin, L. T. (1979). The Midwestern Psychological Association: A history of the organization and its antecedents, 1902-1978. American Psychologist, 34, 201-213. (pdf)
    • Cautlin, R. L. (2009). The founding of the Association for Psychological Science: Part 1: Dialectical tensions with organized psychology. Perspectives on Psychological Science, 4, 211-223. (pdf)
    • Cautlin, R. L. (2009). The founding of the Association for Psychological Science: Part 2: The tipping point and early years. Perspectives on Psychological Science, 4, 224-235. (pdf)

GRANT MATERIALS

Miller/Gnilka Grant Materials

  • 2015/2016 Grant Intent Letter
  • 2015/2016 Grant Submission 
  • 2015/2016 Grant Evaluation 

 Miller/Jason Grant Materials
  • 2017 Grant Evaluation
 Greenley / Tran / Miller/Buscemi Grant Materials
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