{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,9]],"date-time":"2026-11-09T08:57:45Z","timestamp":1794214665217,"version":"4.8.0"},"reference-count":83,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T00:00:00Z","timestamp":1534464000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Behav Res"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.3758\/s13428-018-1101-0","type":"journal-article","created":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T19:36:15Z","timestamp":1534534575000},"page":"295-315","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data"],"prefix":"10.3758","volume":"51","author":[{"given":"Nicholas C.","family":"Jacobson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sy-Miin","family":"Chow","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle G.","family":"Newman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,8,17]]},"reference":[{"key":"1101_CR1","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1214\/009053604000000931","volume":"33","author":"I Ahmad","year":"2005","unstructured":"Ahmad, I., Leelahanon, S., & Li, Q. (2005). Efficient estimation of a semiparametric partially linear varying coefficient model. Annals of Statistics, 33, 258\u2013283. https:\/\/doi.org\/10.1214\/009053604000000931","journal-title":"Annals of Statistics"},{"key":"1101_CR2","doi-asserted-by":"publisher","unstructured":"Armstrong, A. W., Ulukan, S., Weiner, M., Mostafa, M., Shaheen, H., Nakhla, I., . . . Riddle, M. S. (2010). A randomized, double-blind, placebo-controlled study evaluating the efficacy and safety of Rifaximin for the prevention of travelers\u2019 diarrhea in US military personnel deployed to Incirlik Air Base, Incirlik, Turkey. Journal of Travel Medicine, 17, 392\u2013394. https:\/\/doi.org\/10.1111\/j.1708-8305.2010.00462.x","DOI":"10.1111\/j.1708-8305.2010.00462.x"},{"key":"1101_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/0471221279","volume-title":"Estimation with applications to tracking and navigation: Theory algorithms and software","author":"Y Bar-Shalom","year":"2001","unstructured":"Bar-Shalom, Y., Li, X. R., & Kirubarajan, T. (2001). Estimation with applications to tracking and navigation: Theory algorithms and software. New York, NY: Wiley."},{"key":"1101_CR4","doi-asserted-by":"publisher","unstructured":"Barrett, L. F., Quigley, K. S., Bliss-Moreau, E., & Aronson, K. R. (2004). Interoceptive sensitivity and self-reports of emotional experience. Journal of Personality and Social Psychology, 87, 684\u2013697. https:\/\/doi.org\/10.1037\/0022-3514.87.5.684","DOI":"10.1037\/0022-3514.87.5.684"},{"key":"1101_CR5","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/S0005-7894(05)80342-9","volume":"22","author":"DC Beidel","year":"1991","unstructured":"Beidel, D. C., Neal, A. M., & Lederer, A. S. (1991). The feasibility and validity of a daily diary for the assessment of anxiety in children. Behavior Therapy, 22, 505\u2013517. https:\/\/doi.org\/10.1016\/S0005-7894(05)80342-9","journal-title":"Behavior Therapy"},{"key":"1101_CR6","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1207\/s15327906mbr3304_3","volume":"33","author":"SM Boker","year":"1998","unstructured":"Boker, S. M., & Graham, J. (1998). A dynamical systems analysis of adolescent substance abuse. Multivariate Behavioral Research, 33, 479\u2013507. https:\/\/doi.org\/10.1207\/s15327906mbr3304_3","journal-title":"Multivariate Behavioral Research"},{"key":"1101_CR7","volume-title":"Intensive longitudinal methods: An introduction to diary and experience sampling research","author":"N Bolger","year":"2013","unstructured":"Bolger, N., & Laurenceau, J.-P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. New York, NY: Guilford Press."},{"key":"1101_CR8","doi-asserted-by":"crossref","unstructured":"Bolkhovsky, J. B., Scully, C. G., & Chon, K. H. (2012). Statistical analysis of heart rate and heart rate variability monitoring through the use of smart phone cameras. Paper presented at the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, CA.","DOI":"10.1109\/EMBC.2012.6346253"},{"key":"1101_CR9","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1109\/34.24792","volume":"11","author":"FL Bookstein","year":"1989","unstructured":"Bookstein, F. L. (1989). Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 567\u2013585. https:\/\/doi.org\/10.1109\/34.24792","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1101_CR10","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.socec.2011.01.007","volume":"40","author":"NL Bottan","year":"2011","unstructured":"Bottan, N. L., & Perez Truglia, R. (2011). Deconstructing the hedonic treadmill: Is happiness autoregressive? Journal of Socio-Economics, 40, 224\u2013236. https:\/\/doi.org\/10.1016\/j.socec.2011.01.007","journal-title":"Journal of Socio-Economics"},{"key":"1101_CR11","volume-title":"Time series analysis, forecasting and control (Revised ed.)","author":"GEP Box","year":"1976","unstructured":"Box, G. E. P., & Jenkins, G. M. (1976). Time series analysis, forecasting and control (Revised ed.). Englewood Cliffs, NJ: Prentice Hall."},{"key":"1101_CR12","volume-title":"Time series analysis: Forecasting and control","author":"GEP Box","year":"2013","unstructured":"Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2013). Time series analysis: Forecasting and control (4th ed.). Hoboken, NJ: Wiley.","edition":"4"},{"key":"1101_CR13","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1037\/met0000085","volume":"22","author":"LF Bringmann","year":"2017","unstructured":"Bringmann, L. F., Hamaker, E. L., Vigo, D. E., Aubert, A., Borsboom, D., & Tuerlinckx, F. (2017). Changing dynamics: Time-varying autoregressive models using generalized additive modeling. Psychological Methods, 22, 409\u2013425. https:\/\/doi.org\/10.1037\/met0000085","journal-title":"Psychological Methods"},{"key":"1101_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/b97391","volume-title":"Introduction to time series and forecasting","author":"PJ Brockwell","year":"2002","unstructured":"Brockwell, P. J., & Davis, R. A. (2002). Introduction to time series and forecasting (2nd ed.). New York, NY: Springer.","edition":"2"},{"key":"1101_CR15","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/S0167-8760(03)00146-6","volume":"50","author":"JF Brosschot","year":"2003","unstructured":"Brosschot, J. F., & Thayer, J. F. (2003). Heart rate response is longer after negative emotions than after positive emotions. International Journal of Psychophysiology, 50, 181\u2013187.","journal-title":"International Journal of Psychophysiology"},{"key":"1101_CR16","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.ijpsycho.2006.07.016","volume":"63","author":"JF Brosschot","year":"2007","unstructured":"Brosschot, J. F., Van Dijk, E., & Thayer, J. F. (2007). Daily worry is related to low heart rate variability during waking and the subsequent nocturnal sleep period. International Journal of Psychophysiology, 63, 39\u201347. https:\/\/doi.org\/10.1016\/j.ijpsycho.2006.07.016","journal-title":"International Journal of Psychophysiology"},{"key":"1101_CR17","first-page":"415","volume-title":"Contemporary psychometrics: A festschrift for Roderick P. McDonald","author":"MW Browne","year":"2005","unstructured":"Browne, M. W., & Nesselroade, J. R. (2005). Representing psychological processes with dynamic factor models: Some promising uses and extensions of autoregressive moving average time series models. In O. Maydeu & J. J. McArdle (Eds.), Contemporary psychometrics: A festschrift for Roderick P. McDonald (pp. 415\u2013452). Mahwah, NJ: Erlbaum."},{"key":"1101_CR18","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.janxdis.2011.12.006","volume":"26","author":"JD Buckner","year":"2012","unstructured":"Buckner, J. D., Crosby, R. D., Wonderlich, S. A., & Schmidt, N. B. (2012). Social anxiety and cannabis use: An analysis from ecological momentary assessment. Journal of Anxiety Disorders, 26, 297\u2013304.","journal-title":"Journal of Anxiety Disorders"},{"key":"1101_CR19","doi-asserted-by":"crossref","unstructured":"Buysse, D. J., Thompson, W., Scott, J., Franzen, P. L., Germain, A., Hall, M., . . . Kupfer, D. J. (2007). Daytime symptoms in primary insomnia: A prospective analysis using ecological momentary assessment. Sleep Medicine, 8, 198\u2013208.","DOI":"10.1016\/j.sleep.2006.10.006"},{"key":"1101_CR20","doi-asserted-by":"publisher","first-page":"106","DOI":"10.2307\/1415404","volume":"39","author":"WB Cannon","year":"1927","unstructured":"Cannon, W. B. (1927). The James\u2013Lange theory of emotions: a critical examination and an alternative theory. American Journal of Psychology, 39, 106\u2013124. https:\/\/doi.org\/10.2307\/1415404","journal-title":"American Journal of Psychology"},{"key":"1101_CR21","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/S0022-3999(03)00041-2","volume":"56","author":"RA Carels","year":"2004","unstructured":"Carels, R. A., Musher-Eizenman, D., Cacciapaglia, H., Perez-Benitez, C. I., Christie, S., & O\u2019Brien, W. (2004). Psychosocial functioning and physical symptoms in heart failure patients: A within-individual approach. Journal of Psychosomatic Research, 56, 95\u2013101. https:\/\/doi.org\/10.1016\/S0022-3999(03)00041-2","journal-title":"Journal of Psychosomatic Research"},{"key":"1101_CR22","unstructured":"Chatfield, C. (2013). The analysis of time series: An introduction: CRC press."},{"key":"1101_CR23","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/s11336-013-9330-8","volume":"78","author":"S-M Chow","year":"2013","unstructured":"Chow, S.-M., & Zhang, G. (2013). Nonlinear regime-switching state-space (RSSS) models. Psychometrika, 78, 740\u2013768. https:\/\/doi.org\/10.1007\/s11336-013-9330-8","journal-title":"Psychometrika"},{"key":"1101_CR24","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1037\/0882-7974.22.4.765","volume":"22","author":"S-M Chow","year":"2007","unstructured":"Chow, S.-M., Hamagani, F., & Nesselroade, J. R. (2007). Age differences in dynamical emotion\u2013cognition linkages. Psychology and Aging, 22, 765\u2013780. https:\/\/doi.org\/10.1037\/0882-7974.22.4.765","journal-title":"Psychology and Aging"},{"key":"1101_CR25","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1037\/a0017824","volume":"10","author":"S-M Chow","year":"2010","unstructured":"Chow, S.-M., Haltigan, J. D., & Messinger, D. S. (2010). Dynamic patterns of infant\u2013parent interactions during Face-to-Face and Still-Face episodes. Emotion, 10, 101\u2013114. https:\/\/doi.org\/10.1037\/a0017824","journal-title":"Emotion"},{"key":"1101_CR26","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1080\/10705511003661553","volume":"17","author":"S-M Chow","year":"2010","unstructured":"Chow, S.-M., Ho, M.-H. R., Hamaker, E. L., & Dolan, C. V. (2010). Equivalences and differences between structural equation and state-space modeling frameworks. Structural Equation Modeling, 17, 303\u2013332. https:\/\/doi.org\/10.1080\/10705511003661553","journal-title":"Structural Equation Modeling"},{"key":"1101_CR27","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1080\/00273171.2011.563697","volume":"46","author":"S-M Chow","year":"2011","unstructured":"Chow, S.-M., Zu, J., Shifren, K., & Zhang, G. (2011). Dynamic factor analysis models with time-varying parameters. Multivariate Behavioral Research, 46, 303\u2013339. https:\/\/doi.org\/10.1080\/00273171.2011.563697","journal-title":"Multivariate Behavioral Research"},{"key":"1101_CR28","volume-title":"Statistical power analysis for the behavioral sciences","author":"J Cohen","year":"1988","unstructured":"Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.","edition":"2"},{"key":"1101_CR29","volume-title":"Applied multiple regression\/correlation analysis for the behavioral sciences","author":"J Cohen","year":"2003","unstructured":"Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression\/correlation analysis for the behavioral sciences (3rd ed.). New York, NY: Routledge.","edition":"3"},{"key":"1101_CR30","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1198\/106186007X208768","volume":"16","author":"CM Crainiceanu","year":"2007","unstructured":"Crainiceanu, C. M., Ruppert, D., Carroll, R. J., Joshi, A., & Goodner, B. (2007). Spatially adaptive Bayesian penalized splines with heteroscedastic errors. Journal of Computational and Graphical Statistics, 16, 265\u2013288. https:\/\/doi.org\/10.1198\/106186007X208768","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"1101_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1741-7015-11-126","volume":"11","author":"BN Cuthbert","year":"2013","unstructured":"Cuthbert, B. N., & Insel, T. R. (2013). Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Medicine, 11, 1\u20138. https:\/\/doi.org\/10.1186\/1741-7015-11-126","journal-title":"BMC Medicine"},{"key":"1101_CR32","doi-asserted-by":"publisher","first-page":"1849","DOI":"10.3389\/fpsyg.2017.01849","volume":"8","author":"S Haan-Rietdijk de","year":"2017","unstructured":"de Haan-Rietdijk, S., Voelkle, M. C., Keijsers, L., & Hamaker, E. L. (2017). Discrete- versus continuous-time modeling of unequally spaced experience sampling method data. Frontiers in Psychology, 8, 1849. https:\/\/doi.org\/10.3389\/fpsyg.2017.01849","journal-title":"Frontiers in Psychology"},{"key":"1101_CR33","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199641178.001.0001","volume-title":"Time series analysis by state space methods","author":"J Durbin","year":"2012","unstructured":"Durbin, J., & Koopman, S. J. (2012). Time series analysis by state space methods. Oxford, UK: Oxford University Press."},{"key":"1101_CR34","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1037\/a0014868","volume":"118","author":"UW Ebner-Priemer","year":"2009","unstructured":"Ebner-Priemer, U. W., Eid, M., Kleindienst, N., Stabenow, S., & Trull, T. J. (2009). Analytic strategies for understanding affective (in)stability and other dynamic processes in psychopathology. Journal of Abnormal Psychology, 118, 195\u2013202. https:\/\/doi.org\/10.1037\/a0014868","journal-title":"Journal of Abnormal Psychology"},{"key":"1101_CR35","doi-asserted-by":"publisher","unstructured":"Epskamp, S., van Borkulo, C. D., van der Veen, D.C., Servaas, M. N., Isvoranu, A.-M., Riese, H., & Cramer, A. O. J. (2018). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science, 6, 416\u2013427 . https:\/\/doi.org\/10.1177\/2167702617744325","DOI":"10.1177\/2167702617744325"},{"key":"1101_CR36","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.janxdis.2017.09.002","volume":"51","author":"B Frank","year":"2017","unstructured":"Frank, B., Jacobson, N. C., Hurley, L., & McKay, D. (2017). A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders, 51, 39\u201346. https:\/\/doi.org\/10.1016\/j.janxdis.2017.09.002","journal-title":"Journal of Anxiety Disorders"},{"key":"1101_CR37","doi-asserted-by":"publisher","first-page":"2224","DOI":"10.1002\/sim.3940","volume":"29","author":"A Gasparrini","year":"2010","unstructured":"Gasparrini, A., Armstrong, B., & Kenward, M. G. (2010). Distributed lag non-linear models. Statistics in Medicine, 29, 2224\u20132234. https:\/\/doi.org\/10.1002\/sim.3940","journal-title":"Statistics in Medicine"},{"key":"1101_CR38","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1016\/j.neuroimage.2009.12.117","volume":"50","author":"KM Gates","year":"2010","unstructured":"Gates, K. M., Molenaar, P. C., Hillary, F. G., Ram, N., & Rovine, M. J. (2010). Automatic search for fMRI connectivity mapping: An alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM. NeuroImage, 50, 1118\u20131125. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.12.117","journal-title":"NeuroImage"},{"key":"1101_CR39","doi-asserted-by":"publisher","first-page":"1643","DOI":"10.1002\/sim.4780131605","volume":"13","author":"H Goldstein","year":"1994","unstructured":"Goldstein, H., Healy, M. J. R., & Rasbash, J. (1994). Multilevel time series models with applications to repeated measures data. Statistics in Medicine, 13, 1643\u20131655. https:\/\/doi.org\/10.1002\/sim.4780131605","journal-title":"Statistics in Medicine"},{"key":"1101_CR40","first-page":"219","volume":"29","author":"L Guttman","year":"1965","unstructured":"Guttman, L., & Guttman, R. (1965). A new approach to the analysis of growth patterns: The simplex structure of intercorrelations of measurements. Growth, 29, 219\u2013232.","journal-title":"Growth"},{"key":"1101_CR41","doi-asserted-by":"crossref","DOI":"10.1515\/9780691218632","volume-title":"Time series analysis","author":"JD Hamilton","year":"1994","unstructured":"Hamilton, J. D. (1994). Time series analysis. Princeton, NJ: Princeton University Press."},{"key":"1101_CR42","volume-title":"Forecasting, structural time series models and the Kalman filter","author":"AC Harvey","year":"2001","unstructured":"Harvey, A. C. (2001). Forecasting, structural time series models and the Kalman filter. Cambridge, UK: Cambridge University Press."},{"key":"1101_CR43","volume-title":"Generalized additive models","author":"TJ Hastie","year":"1990","unstructured":"Hastie, T. J., & Tibshirani, R. J. (1990). Generalized additive models. London, UK: Chapman & Hall."},{"key":"1101_CR44","doi-asserted-by":"publisher","first-page":"757","DOI":"10.2307\/2345993","volume":"55","author":"T Hastie","year":"1993","unstructured":"Hastie, T., & Tibshirani, R. (1993). Varying-coefficient models. Journal of the Royal Statistical Society: Series B, 55, 757\u2013796. https:\/\/doi.org\/10.2307\/2345993","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"1101_CR45","first-page":"148","volume-title":"Models for intensive longitudinal data","author":"M-HR Ho","year":"2006","unstructured":"Ho, M.-H. R., Shumway, R., & Ombao, H. (2006). The state-space approach to modeling dynamic processes. In T. A. Walls & J. L. Schafer (Eds.), Models for intensive longitudinal data. (pp. 148\u2013175). New York, NY: Oxford University Press."},{"key":"1101_CR46","first-page":"175","volume-title":"Emotions and anxiety: New concepts, methods, and applications","author":"WF Hodges","year":"2015","unstructured":"Hodges, W. F. (2015). The psychophysiology of anxiety. In M. Zuckerman & C. D. Spielberger (Eds.), Emotions and anxiety: New concepts, methods, and applications (pp. 175\u2013194). New York, NY: Psychology Press."},{"key":"1101_CR47","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1111\/1467-9868.00342","volume":"64","author":"GM James","year":"2002","unstructured":"James, G. M. (2002). Generalized linear models with functional predictors. Journal of the Royal Statistical Society: Series B, 64, 411\u2013432. https:\/\/doi.org\/10.1111\/1467-9868.00342","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"1101_CR48","doi-asserted-by":"publisher","first-page":"979","DOI":"10.3758\/BF03192993","volume":"39","author":"K Kelley","year":"2007","unstructured":"Kelley, K. (2007). Methods for the behavioral, educational, and social sciences: An R package. Behavior Research Methods, 39, 979\u2013984. https:\/\/doi.org\/10.3758\/bf03192993","journal-title":"Behavior Research Methods"},{"key":"1101_CR49","doi-asserted-by":"publisher","unstructured":"Kuiper, R. M., & Ryan, O. (2018). Drawing conclusions from cross-lagged relationships: Re-considering the role of the time-interval. Structural Equation Modeling. Advance online publication. https:\/\/doi.org\/10.1080\/10705511.2018.1431046","DOI":"10.1080\/10705511.2018.1431046"},{"key":"1101_CR50","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1111\/psyp.12462","volume":"53","author":"PJ Lang","year":"2016","unstructured":"Lang, P. J., McTeague, L. M., & Bradley, M. M. (2016). RDoC, DSM, and the reflex physiology of fear: A bio-dimensional analysis of the anxiety disorders spectrum. Psychophysiology, 53, 336\u2013347. https:\/\/doi.org\/10.1111\/psyp.12462","journal-title":"Psychophysiology"},{"key":"1101_CR51","volume-title":"The emotions","author":"CG Lange","year":"1922","unstructured":"Lange, C. G., & James, W. (1922). The emotions (Vol. 1). Baltimore, MD: Williams & Wilkins."},{"key":"1101_CR52","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1207\/s15327906mbr3203_1","volume":"32","author":"RC MacCallum","year":"1997","unstructured":"MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997). Studying multivariate change using multilevel models and latent curve models. Multivariate Behavioral Research, 32, 215\u2013253. https:\/\/doi.org\/10.1207\/s15327906mbr3203_1","journal-title":"Multivariate Behavioral Research"},{"key":"1101_CR53","doi-asserted-by":"publisher","unstructured":"Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L. J., . . . Maris, G. (2018). An introduction to network psychometrics: Relating ising network models to item response theory models. Multivariate Behavioral Research, 53, 15\u201335. https:\/\/doi.org\/10.1080\/00273171.2017.1379379","DOI":"10.1080\/00273171.2017.1379379"},{"key":"1101_CR54","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1080\/02699930341000112","volume":"18","author":"I Mauss","year":"2004","unstructured":"Mauss, I., Wilhelm, F., & Gross, J. (2004). Is there less to social anxiety than meets the eye? Emotion experience, expression, and bodily responding. Cognition and Emotion, 18, 631\u2013642. https:\/\/doi.org\/10.1080\/02699930341000112","journal-title":"Cognition and Emotion"},{"key":"1101_CR55","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3242-6","volume-title":"Generalized linear models","author":"P McCullagh","year":"1989","unstructured":"McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). London, UK: Chapman & Hall.","edition":"2"},{"key":"1101_CR56","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1037\/a0034282","volume":"19","author":"GJ McKeown","year":"2014","unstructured":"McKeown, G. J., & Sneddon, I. (2014). Modeling continuous self-report measures of perceived emotion using generalized additive mixed models. Psychological Methods, 19, 155\u2013174. https:\/\/doi.org\/10.1037\/a0034282","journal-title":"Psychological Methods"},{"key":"1101_CR57","volume-title":"Encyclopaedia of occupational health and safety","author":"D Mergler","year":"1998","unstructured":"Mergler, D., & Valcciukas, J. (1998). Nervous system: Overview. In J. M. Stellman (Ed.), Encyclopaedia of occupational health and safety (4th ed.). Geneva, Switzerland: International Labour Office.","edition":"4"},{"key":"1101_CR58","doi-asserted-by":"crossref","unstructured":"Michel, J.-B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., Pickett, J. P., . . . Orwant, J. (2011). Quantitative analysis of culture using millions of digitized books. Science, 331, 176\u2013182.","DOI":"10.1126\/science.1199644"},{"key":"1101_CR59","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/BF02294246","volume":"50","author":"PCM Molenaar","year":"1985","unstructured":"Molenaar, P. C. M. (1985). A dynamic factor model for the analysis of multivariate time series. Psychometrika, 50, 181\u2013202. https:\/\/doi.org\/10.1007\/BF02294246","journal-title":"Psychometrika"},{"key":"1101_CR60","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/BF02295735","volume":"66","author":"PCM Molenaar","year":"2001","unstructured":"Molenaar, P. C. M., & Nesselroade, J. R. (2001). Rotation in the dynamic factor modeling of multivariate stationary time series. Psychometrika, 66, 99\u2013107. https:\/\/doi.org\/10.1007\/bf02295735","journal-title":"Psychometrika"},{"key":"1101_CR61","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1037\/h0030132","volume":"35","author":"LW Morris","year":"1970","unstructured":"Morris, L. W., & Liebert, R. M. (1970). Relationship of cognitive and emotional components of test anxiety to physiological arousal and academic performance. Journal of Consulting and Clinical Psychology, 35, 332\u2013337. https:\/\/doi.org\/10.1037\/h0030132","journal-title":"Journal of Consulting and Clinical Psychology"},{"key":"1101_CR62","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1080\/01621459.1985.10478204","volume":"80","author":"RJ Muirhead","year":"1985","unstructured":"Muirhead, R. J. (1985). Estimating a particular function of the multiple correlation coefficient. Journal of the American Statistical Association, 80, 923\u2013925. https:\/\/doi.org\/10.1080\/01621459.1985.10478204","journal-title":"Journal of the American Statistical Association"},{"key":"1101_CR63","doi-asserted-by":"publisher","unstructured":"Neale, M. C., Hunter, M. D., Pritikin, J. N., Zahery, M., Brick, T. R., Kirkpatrick, R. M., . . . Boker, S. M. (2016). OpenMx 2.0: Extended structural equation and statistical modeling. Psychometrika, 81, 535\u2013549. https:\/\/doi.org\/10.1007\/s11336-014-9435-8","DOI":"10.1007\/s11336-014-9435-8"},{"key":"1101_CR64","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1177\/0164027585007001003","volume":"7","author":"JR Nesselroade","year":"1985","unstructured":"Nesselroade, J. R., & Ford, D. H. (1985). P-technique comes of age. Multivariate, replicated, single-subject designs for research on older adults. Research on Aging, 7, 46\u201380.","journal-title":"Research on Aging"},{"key":"1101_CR65","first-page":"235","volume-title":"Modeling intraindividual variability with repeated measures data: Methods and applications","author":"JR Nesselroade","year":"2001","unstructured":"Nesselroade, J. R., McArdle, J. J., Aggen, S. H., & Meyers, J. (2001). Dynamic factor analysis modles for representing process in multivariate time-series. In D. M. Moskowitz & S. L. Hershberger (Eds.), Modeling intraindividual variability with repeated measures data: Methods and applications (pp. 235\u2013265). Mahwah, NJ: Erlbaum."},{"key":"1101_CR66","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-1-4020-1958-6_2","volume-title":"Recent developments on structural equation models","author":"J Oud","year":"2004","unstructured":"Oud, J. (2004). SEM state space modeling of panel data in discrete and continuous time and its relationship to traditional state space modeling. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Recent developments on structural equation models (Vol. 19, pp. 13\u201340). Amsterdam, The Netherlands: Springer. https:\/\/doi.org\/10.1007\/978-1-4020-1958-6_2"},{"key":"1101_CR67","volume-title":"Elements of multivariate time series analysis (Springer Series in Statistics)","author":"GC Reinsel","year":"2003","unstructured":"Reinsel, G. C. (2003). Elements of multivariate time series analysis (Springer Series in Statistics). New York, NY: Springer."},{"key":"1101_CR68","doi-asserted-by":"publisher","first-page":"1090","DOI":"10.1037\/abn0000177","volume":"125","author":"MJ Roche","year":"2016","unstructured":"Roche, M. J., Jacobson, N. C., & Pincus, A. L. (2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM-5 alternative model of personality disorders. Journal of Abnormal Psychology, 125, 1090\u20131102. https:\/\/doi.org\/10.1037\/abn0000177","journal-title":"Journal of Abnormal Psychology"},{"key":"1101_CR69","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TBME.2011.2163157","volume":"59","author":"C Scully","year":"2012","unstructured":"Scully, C., Jinseok, L., Meyer, J., Gorbach, A. M., Granquist-Fraser, D., Mendelson, Y., & Chon, K. H. (2012). Physiological parameter monitoring from optical recordings with a mobile phone. IEEE Transactions on Biomedical Engineering, 59, 303\u2013306. https:\/\/doi.org\/10.1109\/TBME.2011.2163157","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"1101_CR70","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1146\/annurev.clinpsy.3.022806.091415","volume":"4","author":"S Shiffman","year":"2008","unstructured":"Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1\u201332. https:\/\/doi.org\/10.1146\/annurev.clinpsy.3.022806.091415","journal-title":"Annual Review of Clinical Psychology"},{"key":"1101_CR71","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1007\/s11121-011-0264-z","volume":"13","author":"MP Shiyko","year":"2012","unstructured":"Shiyko, M. P., Lanza, S. T., Tan, X., Li, R., & Shiffman, S. (2012). Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self confidence on smoking urges: Differences between successful quitters and relapsers. Prevention Science, 13, 288\u2013299. https:\/\/doi.org\/10.1007\/s11121-011-0264-z","journal-title":"Prevention Science"},{"key":"1101_CR72","doi-asserted-by":"publisher","first-page":"41","DOI":"10.3758\/s13428-013-0353-y","volume":"46","author":"PJ Silvia","year":"2014","unstructured":"Silvia, P. J., Kwapil, T. R., Walsh, M. A., & Myin-Germeys, I. (2014). Planned missing data designs in experience sampling research: Monte Carlo simulations of efficient designs for assessing within-person constructs. Behavior Research Methods, 46, 41\u201354. https:\/\/doi.org\/10.3758\/s13428-013-0353-y","journal-title":"Behavior Research Methods"},{"key":"1101_CR73","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.brat.2011.11.005","volume":"50","author":"LR Starr","year":"2012","unstructured":"Starr, L. R., & Davila, J. (2012). Temporal patterns of anxious and depressed mood in generalized anxiety disorder: A daily diary study. Behaviour Research and Therapy, 50, 131\u2013141.","journal-title":"Behaviour Research and Therapy"},{"key":"1101_CR74","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1037\/0022-0167.52.4.574","volume":"52","author":"MF Steger","year":"2005","unstructured":"Steger, M. F., & Frazier, P. (2005). Meaning in life: One link in the chain from religiousness to well-being. Journal of Counseling Psychology, 52, 574\u2013582. https:\/\/doi.org\/10.1037\/0022-0167.52.4.574","journal-title":"Journal of Counseling Psychology"},{"key":"1101_CR75","doi-asserted-by":"publisher","first-page":"289","DOI":"10.2307\/1938740","volume":"73","author":"P Turchin","year":"1992","unstructured":"Turchin, P., & Taylor, A. D. (1992). Complex dynamics in ecological time series. Ecology, 73, 289\u2013305. https:\/\/doi.org\/10.2307\/1938740","journal-title":"Ecology"},{"key":"1101_CR76","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1111\/j.2044-8317.2012.02043.x","volume":"66","author":"MC Voelkle","year":"2013","unstructured":"Voelkle, M. C., & Oud, J. H. L. (2013). Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes. British Journal of Mathematical and Statistical Psychology, 66, 103\u2013126. https:\/\/doi.org\/10.1111\/j.2044-8317.2012.02043.x","journal-title":"British Journal of Mathematical and Statistical Psychology"},{"key":"1101_CR77","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1037\/a0027543","volume":"17","author":"MC Voelkle","year":"2012","unstructured":"Voelkle, M. C., Oud, J. H., Davidov, E., & Schmidt, P. (2012). An SEM approach to continuous time modeling of panel data: Relating authoritarianism and anomia. Psychological Methods, 17, 176\u2013192. https:\/\/doi.org\/10.1037\/a0027543","journal-title":"Psychological Methods"},{"key":"1101_CR78","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195173444.001.0001","volume-title":"Models for intensive longitudinal data","author":"TA Walls","year":"2006","unstructured":"Walls, T. A., & Schafer, J. L. (2006). Models for intensive longitudinal data. New York, NY: Oxford University Press."},{"key":"1101_CR79","volume-title":"Time series analysis: Univariate and multivariate methods","author":"WWS Wei","year":"2006","unstructured":"Wei, W. W. S. (2006). Time series analysis: Univariate and multivariate methods (2nd ed.). Boston, MA: Pearson Education, Inc.","edition":"2"},{"key":"1101_CR80","unstructured":"Wetherell, J. (2013). Android heart rate monitor. Retrieved from https:\/\/code.google.com\/p\/android-heart-rate-monitor\/"},{"key":"1101_CR81","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1111\/1467-9868.00374","volume":"65","author":"SN Wood","year":"2003","unstructured":"Wood, S. N. (2003). Thin plate regression splines. Journal of the Royal Statistical Society: Series B, 65, 95\u2013114. https:\/\/doi.org\/10.1111\/1467-9868.00374","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"1101_CR82","doi-asserted-by":"publisher","DOI":"10.1201\/9781420010404","volume-title":"Generalized additive models: An introduction with R","author":"SN Wood","year":"2006","unstructured":"Wood, S. N. (2006). Generalized additive models: An introduction with R. Boca Raton, FL: CRC Press."},{"key":"1101_CR83","first-page":"241","volume-title":"Statistical methods for modeling human dynamics: An interdisciplinary dialogue (Notre Dame Series on Quantitative Methodology)","author":"G Zhang","year":"2010","unstructured":"Zhang, G., & Browne, M. (2010). Dynamic factor analysis with ordinal variables. In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds.), Statistical methods for modeling human dynamics: An interdisciplinary dialogue (Notre Dame Series on Quantitative Methodology), Vol. 4, pp. 241\u2013263). New York, NY: Taylor & Francis."}],"container-title":["Behavior Research Methods"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.3758\/s13428-018-1101-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.3758\/s13428-018-1101-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.3758\/s13428-018-1101-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T18:18:47Z","timestamp":1661797127000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.3758\/s13428-018-1101-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,17]]},"references-count":83,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["1101"],"URL":"https:\/\/doi.org\/10.3758\/s13428-018-1101-0","relation":{},"ISSN":["1554-3528"],"issn-type":[{"value":"1554-3528","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,17]]},"assertion":[{"value":"17 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}