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Estimating psychological networks and their accuracy: A tutorial paper

Sacha Epskamp, Denny Borsboom, Eiko I. Fried

Behavior Research Methods · 2017

Abstract

Electronic supplementary material. The online version of this article (doi:10.3758/s13428-017-0862-1) contains supplementary material, which is available to authorized users.

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References 65

1.
American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR (4th ed., text rev.). Washington, DC, USA: American Psychiatric Association.
Not in our library
2.
Bache, S.M., & Wickham, H. (2014). magrittr: A Forward-Pipe Operator for R. R package version 1.5. https://CRAN.R-project.org/package=magrittr.
Not in our library
3.
Barzel B, Biham O. Quantifying the connectivity of a network: The network correlation function method. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2009;80(4):046104.
Not in our library10.1103/physreve.80.046104
4.
Bland JM, Altman DG. Multiple significance tests: the Bonferroni method. Bmj. 1995;310(6973):170.
Not in our library10.1136/bmj.310.6973.170
5.
Bollen KA, Stine RA. Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods & Research. 1992;21(2):205-229.
Not in our library10.1177/0049124192021002004
6.
Borsboom D, Cramer AOJ. Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology. 2013;9:91-121.
Not in our library10.1146/annurev-clinpsy-050212-185608
7.
The Network Structure of Symptoms of the Diagnostic and Statistical Manual of Mental Disorders · 2015
No notice
8.
Bringmann LF, Lemmens LH, Huibers MJ, Borsboom D, Tuerlinckx F. Revealing the dynamic network structure of the Beck depression inventory-II. Psychological Medicine. 2015;45(04):747-757.
Not in our library10.1017/s0033291714001809
9.
Chen J, Chen Z. Extended Bayesian information criteria for model selection with large model spaces. Biometrika. 2008;95(3):759-771.
Not in our library10.1093/biomet/asn034
10.
Chernick MR. Bootstrap methods: a guide for practitioners and researchers. 2011.
Not in our library
11.
Cohen J. Statistical power analysis for the behavioral sciences. 1977.
Not in our library
12.
Cohen J. The earth is round (p<0.05). American Psychologist. 1994;49(12):997-1003.
Not in our library10.1037/0003-066x.49.12.997
13.
Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L.J., & Cramer, A.O.J. (2015a). State of the aRt personality research: a tutorial on network analysis of personality data in R. Journal of Research in Personality, 54, 13–29.
Not in our library
14.
Costantini, G., Richetin, J., Borsboom, D., Fried, E.I., Rhemtulla, M., & Perugini, M. (2015b). Development of indirect measures of conscientiousness: combining a facets approach and network analysis. European Journal of Personality, 29(5), 548–567.
Not in our library
15.
Costenbader E, Valente TW. The stability of centrality measures when networks are sampled. Social Networks. 2003;25(4):283-307.
Not in our library10.1016/s0378-8733(03)00012-1
16.
Cramer AOJ, Sluis S, Noordhof A, Wichers M, Geschwind N, Aggen SH, Borsboom D. Dimensions of normal personality as networks in search of equilibrium: you can’t like parties if you don’t like people. European Journal of Personality. 2012;26(4):414-431.
Not in our library10.1002/per.1866
17.
Cramer, A.O.J., Waldorp, L., van der Maas, H., & Borsboom, D. (2010). Comorbidity: A Network Perspective. Behavioral and Brain Sciences, 33(2-3), 137–150.
Not in our library10.1017/s0140525x09991567
18.
Dalege, J., Borsboom, D., van Harreveld, F., van den Berg, H., Conner, M., & van der Maas, H.L.J. (2016). Toward a formalized account of attitudes: The Causal Attitude Network (CAN) model. Psychological Review, 123(1), 2–22.
Not in our library10.1037/a0039802
19.
Efron B. Bootstrap methods: another look at the jackknife. The Annals of Statistics. 1979;7(1):1-26.
Not in our library10.1214/aos/1176344552
20.
Epskamp, S., & Fried, E.I. (2016). A tutorial on estimating regularized partial correlation networks. arXiv:1607.01367.
Not in our library10.1037/met0000167
21.
Epskamp, S. (2014). IsingSampler: sampling methods and distribution functions for the Ising model. R package version 0.1.1. Retrieved from github.com/SachaEpskamp/ IsingSampler.
Not in our library
22.
Epskamp, S. (2016). Regularized Gaussian Psychological Networks: Brief Report on the Performance of Extended BIC Model Selection. arXiv:1606.05771.
Not in our library
23.
Epskamp, S., Rhemtulla, M., & Borsboom, D. (2016). Generalized network psychometrics: combining network and latent variable models. Psychometrika. in press.
Not in our library10.1007/s11336-017-9557-x
24.
Epskamp S, Cramer AO, Waldorp LJ, Schmittmann VD, Borsboom D. qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software. 2012;48(4):1-18.
Not in our library10.18637/jss.v048.i04
25.
Foa EB, Riggs DS, Dancu CV, Rothbaum BO. Reliability and validity of a brief instrument for assessing post-traumatic stress disorder. Journal of Traumatic Stress. 1993;6(4):459-473.
Not in our library10.1002/jts.2490060405
26.
Forbush K, Siew C, Vitevitch M. Application of network analysis to identify interactive systems of eating disorder psychopathology. Psychological Medicine. 2016;46(12):2667-2677.
Not in our library10.1017/s003329171600012x
27.
Foygel R, Drton M. Extended Bayesian information criteria for Gaussian graphical models. Advances in Neural Information Processing Systems. 2010;23:20200-2028.
Not in our library
28.
Foygel Barber R, Drton M. High-dimensional Ising model selection with Bayesian information criteria. Electronic Journal of Statistics. 2015;9(1):5670-607.
Not in our library
29.
Fried EI, Bockting C, Arjadi R, Borsboom D, Amshoff M, Cramer OJ, Stroebe M. From loss to loneliness: The relationship between bereavement and depressive symptoms. Journal of Abnormal Psychology. 2015;124(2):256-265.
Not in our library10.1037/abn0000028
30.
Fried EI, Epskamp S, Nesse RM, Tuerlinckx F, Borsboom D. What are ‘good’ depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. Journal of Affective Disorders. 2016;189:314-320.
Not in our library10.1016/j.jad.2015.09.005
31.
Friedman, J.H., Hastie, T., & Tibshirani, R. (2014). Glasso: graphical lasso- estimation of Gaussian graphical models. R package version 1.8. Retrieved from https://CRAN.Rproject.org/package=glasso.
Not in our library
32.
Friedman JH, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics. 2008;9(3):432-441.
Not in our library10.1093/biostatistics/kxm045
33.
Genz, A., Bretz, F., Miwa, T., Mi, X., Leisch, F., Scheipl, F., & Hothorn, T. (2008). Mvtnorm: multivariate normal and t distributions. R package version 0.9-2. Retrieved from http://CRAN.R-project.org/package=mvtnorm.
Not in our library
34.
Gumbel EJ. La probabilité des hypotheses. Comptes Rendus de l’Academie des Sciences (Paris). 1939;209:645-647.
Not in our library
35.
Haslbeck, J.M.B., & Waldorp, L.J. (2016a). mgm: structure estimation for time-varying mixed graphical models in high-dimensional data. arXiv:1510.06871.
Not in our library
36.
Haslbeck, J.M.B., & Waldorp, L.J. (2016b). Structure estimation for mixed graphical models in high dimensional data. arXiv:1510.05677.
Not in our library
37.
Hastie, T., Tibshirani, R., & Wainwright, M. (2015). Statistical learning with sparsity: the lasso and generalizations. Boca Raton, FL, USA: CRC Press.
Not in our library
38.
Hien DA, Wells EA, Jiang H, Suarez-Morales L, Campbell AN, Cohen LR, Zhang Y, et al. Multisite randomized trial of behavioral interventions for women with co-occurring ptsd and substance use disorders. Journal of Consulting and Clinical Psychology. 2009;77(4):607-619.
Not in our library10.1037/a0016227
39.
Hyndman RJ, Fan Y. Sample quantiles in statistical packages. The American Statistician. 1996;50(4):361-365.
Not in our library
40.
Isvoranu, A.M., Borsboom, D., van Os, J., & Guloksuz, S. (2016). A Network Approach to Environmental Impact in Psychotic Disorders: Brief Theoretical Framework. Schizophrenia Bulletin, 42(4), 870–873.
Not in our library10.1093/schbul/sbw049

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