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:

2020-2021 Colloquium/Laboratory Meetings: Mondays, 1:00 - 2:00 (online)
  • Colloquium Schedule
    • August 24 - Student Thesis Presentations:  Milena Gotra, Erin Gandelman, & Elaine Schultz
    • September 21 - Vonetta Dotson, Ph.D. - Georgia State University
    • October 19 - Elizabeth Grandfield, Ph.D. - Utrecht University (the Netherlands)
    • November 23 - Matthew Lerner, Ph.D. - Stony Brook University
    • December 7  - Giorgia Michelini, UCLA - Semel Institute for Neuroscience
    • January 11 - Student Thesis Presentations: Estée Feldman, Greg Obert, Lindsey Holbrook
    • February 8 - Katherine Jonas, Ph.D. - Stony Brook University
    • March 8 - Jessica Schleider, Ph.D. - Stony Brook University
    • April 12 - Olajide Bamishigbin, Ph.D. - California State University, Long Beach
    • May 10 - Cari Cohen, Emily Graupman, + TBA
RFUMS Inter-Session:  February 22, 2021 - February 26, 2021
RFUMS First Day Spring Quarter:  March 1, 2021
RFUMS All School Research Consortium:  March 17, 2021
APS Early Bird Registration Deadline - April 15, 2021 
Midwestern Psychological Association:  April 22 - April 24, 2021 (Chicago, IL)
RFUMS Last Day Spring Quarter:  May 21, 2021
RFUMS Inter-Session:  May 24, 2021 - May 28, 2021
Association for Psychological Science:  May 27 - May 30, 2021 (Washington, D.C.)
RFUMS First Day Summer Quarter:  May 31, 2021
RFUMS Awards Day:  June 3, 2021
RFUMS Graduation:  June 4, 2021
Research Comprehensive Exams:  June 25, 2021 (2nd Year Students - Laboratory Closed)
All Day Student Review:  July 20, 2021
August 6, 2021:  Last Day Summer School

2021-2022

August 9 - August 13:  Inter-Session Break & New Student Orientation
August 15, 2021:   Tentative Lab BBQ/Game Night
August 16, 2021:   First Day, Fall Quarter
September 6, 2021:  Labor Day, RFUMS Closed
October 11, 2021:  Indigenous People's Day/Columbus 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 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
August 5, 2022:  Last Day, Summer Quarter
August 8, 2022 - August 12, 2022:  Inter-Session Break
August 15, 2022:  First Day, Fall Quarter

FALL/WINTER QUARTER 2020-2021

February

 Sunday Monday Tuesday Wednesday Thursday Friday Saturday
2122

RFUMS
Inter
Session

Sophie Dissertation Proposal
2 - 4

23

RFUMS
Inter
Session




24

RFUMS
Inter
Session

Meeting
10 - 11

Sophie & Elliot 
4 - 5
25

RFUMS
Inter
Session
26

RFUMS
Inter
Session

MFT
8 - 9

Master's Interviews
10 - 11

Accountability
3 - 4

27
28

1st day
Spring Quarter

 



     

SPRING QUARTER 2021

MARCH

 Sunday Monday Tuesday Wednesday Thursday   Friday Saturday
  1

Sophie
9 - 10

Marianne
10 - 11

Greg
11 - 12

Lunch
12 - 1

Weekly lab meeting:  
(Elliot article - McNeish & Harring 2020 - pdf)
1 - 2

Erin
2 - 3

 2

Faculty Meeting
9 - 11

CHP Curriculum Committee
11 - 12 

Lunch
12 - 1

Statistics Consulting
1 - 5 
 3

Erin
Dissertation
12 - 1

 4

Aaminah
9 - 10

George
10 - 11

Elliot
11 - 12

Lunch
(Tentative)
12 - 1

Karol
1 - 2

Victoria
2 - 3

Brandon
4 - 5

Dinner
5 - 6

James
6 - 7

 5

MFT
8 - 9

Healthy DPU
9 - 10

Master's Interview
10 - 11

Awards Committee 
11 - 12

Pedro
12 - 1

Curriculum
1 - 2
 6
 7 8

Sophie
9 - 10

Marianne
10 - 11

Greg
11 - 12

Lunch
12 - 1

Colloquium
1 - 2

Erin
2 - 3
 9

Lunch
12 - 1

Statistics Consulting
1 - 5
 10


 11

Aaminah
9 - 10

George
10 - 11

Elliot
11 - 12

Lunch
(Tentative)
12 - 1

Karol
1 - 2

Victoria
2 - 3

Brandon
4 - 5

Dinner
5 - 6

James
6 - 7

 12

MFT
8 - 9


Accountability
3 - 4
 13
 14 15

Sophie
9 - 10

Marianne
10 - 11

Greg
11 - 12

Lunch
12 - 1

Weekly Lab Meeting
1 - 2

Erin
2 - 3
 16

Faculty Meeting
9 - 11

Lunch
12 - 1

Statistics Consulting
1 - 5
 17

ASRC
9 - 5
 18

Aaminah
9 - 10

George
10 - 11

Elliot
11 - 12

Lunch
(Tentative)
12 - 1

Karol
1 - 2

Victoria
2 - 3

Brandon
4 - 5

Dinner
5 - 6

James
6 - 7

 19

MFT
8 - 9

Healthy DPU
9 - 10
 20
 21 22

Sophie
9 - 10

Marianne
10 - 11

Greg
11 - 12

Lunch
12 - 1

Weekly Lab Meeting
1 - 2

Erin
2 - 3
 23

Lunch
12 - 1

Statistics Consulting
1 - 5
 24

Rosie
10 - 11
 25

Aaminah
9 - 10

George
10 - 11

Elliot
11 - 12

Lunch
(Tentative)
12 - 1

Karol
1 - 2

Victoria
2 - 3

Brandon
4 - 5

Dinner
5 - 6

James
6 - 7

 26

MFT
8 - 9


12 - 1
Meeting

Accountability
3 - 4
 27
 28 29

Sophie
9 - 10

Marianne
10 - 11

Greg
11 - 12

Lunch
12 - 1

Weekly Lab Meeting
1 - 2

Erin
2 - 3

 30

Faculty Meeting
9 - 11

Lunch
12 - 1

Statistics Consulting
1 - 5

 31   

APRIL

 Sunday Monday Tuesday Wednesday Thursday Friday Saturday
     1 2 3
 4 5 6 7 8 9 10
 11 12 13 14 15 16 17
 18 19 20 21 22

MPA

 23

MPA
 24

MPA
 25 26 27 28 19 30 

MAY

 Sunday Monday Tuesday Wednesday Thursday Friday Saturday
       1
 2 3 4 5 6 7
 9 1011 12 13 14 15
 16 17 18 19 20 21

Last Day
Spring Quarter

 22
 23 24 25 26 27

APS
 28

APS
 29

APS
 30

APS

 31
 
RFUMS Inter Session 

Memorial Day
 

RFUMS Inter Session 

Faculty Meeting
9 - 11

 

RFUMS Inter Session 
  

RFUMS Inter Session 

Awards Ceremony
  

RFUMS Inter
Session 

Commencement
 

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.
      • Eronen, M. I. (2018). Psychopathology and truth: A defense of realism. Journal of Medicine and Philosophy 1–19.
    • 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.
      • 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.
    • 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.
      • 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.
      • Nettle, D., & Bateson, M. (2012). The Evolutionary Origins of Mood and Its Disorders. Current Biology, 22(17), R712–R721.
      • Wakefield, J. C. (1992). The Concept of Mental Disorder On the Boundary Between Biological Facts and Social Values. American Psychologist, 47(3), 373–388.
      • Mcnally, R. J. (2001). On Wakefield ’ s harmful dysfunction analysis of mental disorder, 39, 309–314.
    • April 5: 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.
      • 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.
    • April 19: 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.
      • 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).
    • April 26: 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.
      • Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13.
      • 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.
      • 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). 
      • Cummins, R. (2000). “How does it work?” vs. “What are the laws?” Two conceptions of psychological explanation. Explanation and Cognition, 117–144.
    • May 3: Theorizing
      • Haig, B. D. (2018). An abductive theory of scientific method. In Method Matters in Psychology (pp. 35-64). Springer, Cham.
      • Meehl, P. E. (1990). Appraising and amending theories: The strategy of Lakatosian defense and two principles that warrant it. Psychological Inquiry, 1, 108-141.
      • Zachar, P. (2015). Popper, Meehl, and progress: The evolving concept of risky test in the science of psychopathology. Psychological Inquiry, 26, 279-285.
      • Davis-Stober, C. P., & Regenwetter, M. (2019). The ‘paradox’ of converging evidence. Psychological Review, 126, 865–879.
      • Fried, E. I. (2020). Lack of theory building and testing impedes progress in the factor and network literature. Psychological Inquiry. https://osf.io/6cts9/
    • May 17:  Inference
      • Borsboom, D., Mellenbergh, G. J., & Van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review, 110, 203-219.
      • Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107, 358-367.
      • 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.
      • Roberts, S., & Pashler, H. (2002). Reply to Rodgers and Rowe (2002).  Psychological Review, 109, 605–607.
      • Gelman, A., & Shalizi, C. R. (2013). Philosophy and the practice of Bayesian statistics. British Journal of Mathematical and Statistical Psychology, 66, 8-38.
  • 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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