Humboldt-Universität zu Berlin - Lebenswissen­schaftliche Fakultät - Institut für Psychologie

Publikationen

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Prof. Dr. Manuel C. Völkle

Psychologische Methodenlehre



2021


Arnold, M., Brandmaier, A. M., & Voelkle, M. C. (2021). Predicting Differences in Model Parameters with Individual Parameter Contribution Regression Using the R Package ipcr. Psych, 3(3), 360-385. https://doi.org/10.3390/psych3030027

Arnold, M., Voelkle, M. C., & Brandmaier, A. M. (2021). Score-Guided Structural Equation Model Trees. Frontiers in Psychology, 11(3913). https://doi.org/10.3389/fpsyg.2020.564403

Driver, C. C., & Voelkle, M. C. (2021). Hierarchical continuous time modeling. In J. F. Rauthmann (Ed.), The Handbook of Personality Dynamics and Processes (pp. 887-908). San Diego, CA: Elsevier. https://doi.org/10.1016/B978-0-12-813995-0.00034-0

Eising, C. M., Voelkle, M. C., Rohner, S. L., Maercker, A., & Thoma, M. V. (2021). Lifetime post-traumatic stress disorder in older individuals with a history of institutional upbringing in childhood: the role of social acknowledgement and stressful life events. European Journal of Psychotraumatology, 12(1), 1915578. https://doi.org/10.1080/20008198.2021.1915578

Genç, E., Schlüter, C., Fraenz, C., Arning, L., Metzen, D., Nguyen, H. P., Voelkle, M. C., Streit, F., Güntürkün, O., Kumsta, R., & Ocklenburg, S. (2021). Polygenic Scores for Cognitive Abilities and Their Association with Different Aspects of General Intelligence-A Deep Phenotyping Approach. Mol Neurobiol, 58(8), 4145-4156. https://doi.org/10.1007/s12035-021-02398-7

Gische, C., & Voelkle, M. C. (2021). Beyond the mean: a flexible framework for studying causal effects using linear models. Psychometrika. https://doi.org/10.1007/s11336-021-09811-z

Gische, C., West, S. G., & Voelkle, M. C. (2021). Forecasting Causal Effects of Interventions versus Predicting Future Outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 28(3), 475-492. https://doi.org/10.1080/10705511.2020.1780598

Godara, M., Silveira, S., Matthäus, H., Heim, C., Voelkle, M. C., Hecht, M., Binder, E. B., & Singer, T. (2021). Investigating differential effects of socio-emotional and mindfulness-based online interventions on mental health, resilience and social capacities during the COVID-19 pandemic: The study protocol. PLOS ONE, 16(11), e0256323. https://doi.org/10.1371/journal.pone.0256323

Hecht, M., & Voelkle, M. C. (2021). Continuous-time modeling in prevention research: An illustration. International Journal of Behavioral Development, 45(1), 19-27. https://doi.org/10.1177/0165025419885026

Lazarides, C., Moog, N. K., Verner, G., Voelkle, M. C., Henrich, W., Heim, C. M., Braun, T., Wadhwa, P. D., Buss, C., & Entringer, S. (2021). The association between history of prenatal loss and maternal psychological state in a subsequent pregnancy: an ecological momentary assessment (EMA) study. Psychological Medicine, 1-11. https://doi.org/10.1017/S0033291721002221

Zyphur, M. J., Hamaker, E. L., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Allison, P. D., Pierides, D. C., Koval, P., & Diener, E. F. (2021). From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM) [Methods]. Frontiers in Psychology, 12(112). https://doi.org/10.3389/fpsyg.2021.612251


2020


Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2020). Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression. Structural Equation Modeling: A Multidisciplinary Journal, 27(4), 613-628. https://doi.org/10.1080/10705511.2019.1667240

Bach, D. R., Melinščak, F., Fleming, S. M., & Voelkle, M. C. (2020). Calibrating the experimental measurement of psychological attributes. Nature Human Behaviour, 4(12), 1229-1235. https://doi.org/10.1038/s41562-020-00976-8

Brose, A., Schmiedek, F., Gerstorf, D., & Voelkle, M. C. (2020). The measurement of within–person affect variation. Emotion, 20(4), 677-699. https://doi.org/10.1037/emo0000583

Guthier, C., Dormann, C., & Voelkle, M. C. (2020). Reciprocal effects between job stressors and burnout: A continuous time meta-analysis of longitudinal studies. Psychological Bulletin, 146(12), 1146-1173. https://doi.org/10.1037/bul0000304

Hardt, K., Hecht, M., & Voelkle, M. C. (2020). Robustness of Individual Score Methods against Model Misspecification in Autoregressive Panel Models. Structural Equation Modeling: A Multidisciplinary Journal, 27(2), 240-254. doi:10.1080/10705511.2019.1642755

Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (2020). Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data. Frontiers in Psychology, 11(351). doi:10.3389/fpsyg.2020.00351

Lazarides, C., Ward, E. B., Buss, C., Chen, W.-P., Voelkle, M. C., Gillen, D. L., Wadhwa, P. D., Entringer, S. (2020). Psychological stress and cortisol during pregnancy: An ecological momentary assessment (EMA)-Based within- and between-person analysis. Psychoneuroendocrinology, 121, 104848. doi: 10.1016/j.psyneuen.2020.104848

Neubauer, A. B., Voelkle, M. C., Voss, A., & Mertens, U. K. (2020). Estimating reliability of within-person couplings in a multilevel framework. Journal of Personality Assessment, 102, 10-21. doi:10.1080/00223891.2018.1521418

von Oertzen, T., Schmiedek, F., & Voelkle, M. C. (2020). Ergodic Subspace Analysis. Journal of Intelligence, 8(1). doi:10.3390/jintelligence8010003

Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM). Organizational Research Methods, 23(4), 651-687. doi:10.1177/1094428119847278

Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes II: Comparing Approaches to Panel Data Analysis. Organizational Research Methods, 23(4), 688-716. https://doi.org/10.1177/1094428119847280


2019


Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Voelkle, M. C., Hossiep, R., & Güntürkün, O. (2019). The neural architecture of general knowledge. European Journal of Personality, 33(5), 589-605. doi:10.1002/per.2217

Hardt, K., Hecht, M., Oud, J. H. L., & Voelkle, M. C. (2019). Where Have the Persons Gone? – An Illustration of Individual Score Methods in Autoregressive Panel Models. Structural Equation Modeling: A Multidisciplinary Journal, 26(2), 310-323. doi:10.1080/10705511.2018.1517355

Hasl, A., Kretschmann, J., Richter, D., Voelkle, M. C., & Brunner, M. (2019). Investigating core assumptions of the “American Dream”: historical changes in how adolescents’ socioeconomic status, IQ, and GPA are related to key life outcomes in adulthood. Psychology & Aging, 34, 1055-1076. doi:https://doi.org/10.1037/pag0000392

Hecht, M., Hardt, K., Driver, C. C., & Voelkle, M. C. (2019). Bayesian continuous-time Rasch models. Psychological Methods, 24(4), 516-537. doi:10.1037/met0000205

Lazarides, C., Epel, E. S., Lin, J., Blackburn, E. H., Voelkle, M. C., Buss, C., . . . Entringer, S. (2019). Maternal pro-inflammatory state during pregnancy and newborn leukocyte telomere length: A prospective investigation. Brain Behav Immun, 80, 419-426. doi:10.1016/j.bbi.2019.04.021

Schulz-Zhecheva, Y., Voelkle, M. C., Beauducel, A., Buch, N., Fleischhaker, C., Bender, S., . . . Klein, C. (2019). ADHD Traits in German School-Aged Children: Validation of the German Strengths and Weaknesses of ADHS Symptoms and Normal Behavior (SWAN-DE) Scale. Journal of Attention Disorders, 23(6), 553-562. doi:10.1177/1087054716676365

Volz, M., Voelkle, M. C., & Werheid, K. (2019). General self-efficacy as a driving factor of post-stroke depression: A longitudinal study. Neuropsychological Rehabilitation, 29(9), 1426-1438. doi:10.1080/09602011.2017.1418392

Wagner, J., Lüdtke, O., & Voelkle, M. C. (2019). Using Dynamic Panel Models to Study Age-related Differences and Time-related Changes in Personality. European Journal of Personality, 33(3), 420-434. doi:10.1002/per.2200


2018


Brandmaier, A. M., Driver, C. C., & Voelkle, M. C. (2018). Recursive partitioning in continuous time analysis. In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous Time Modeling in the Behavioral and Related Sciences (pp. 259-282). Cham, Switzerland: Springer Nature.

Driver, C. C., & Voelkle, M. C. (2018). Hierarchical Bayesian continuous time dynamic modeling. Psychological Methods, 23(4), 774-799. doi:10.1037/met0000168

Driver, C. C., & Voelkle, M. C. (2018). Understanding the time course of interventions with continuous time dynamic models. In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 79-109). Cham, Switzerland: Springer Nature.

Ebner, N. C., Luedicke, J., Voelkle, M. C., Riediger, M., Lin, T., & Lindenberger, U. (2018). An Adult Developmental Approach to Perceived Facial Attractiveness and Distinctiveness. Frontiers in Psychology, 9(561). doi:10.3389/fpsyg.2018.00561

Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Hossiep, R., Voelkle, M. C., Ling, J. M., Güntürkün, O., Jung, R. E. (2018). Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence. Nature Communications, 9(1), 1905. doi:10.1038/s41467018042688

Montfort, K. v., Oud, J. H. L., & Voelkle, M. C. (Eds.). (2018). Continuous time modeling in the behavioral and related sciences. Cham, Switzerland: Springer Nature.

Mueller, S., Wagner, J., Smith, J., Voelkle, M. C., & Gerstorf, D. (2018). The interplay of personality and functional health in old and very old age: Dynamic within-person interrelations across up to 13 years. Journal of Personality and Social Psychology, 115, 1127-1147. doi: 10.1037/pspp0000173.

Oud, J. H. L., Driver, C. C., & Voelkle, M. C. (2018). First- and higher-order continuous time models for arbitrary N using SEM. In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous Time Modeling in the Behavioral and Related Sciences (pp. 1-26). Cham, Switzerland: Springer Nature.

Oud, J. H. L., Voelkle, M. C., & Driver, C. C. (2018). SEM Based CARMA Time Series Modeling for Arbitrary N. Multivariate Behavioral Research, 53(1), 36-56. doi:10.1080/00273171.2017.1383224

Schlüter, C., Fraenz, C., Pinnow, M., Voelkle, M. C., Güntürkün, O., & Genç, E. (2018). Volition and academic achievement: Interindividual differences in action control mediate the effects of conscientiousness and sex on secondary school grading. Motivation Science, 4(3), 262-273. doi:10.1037/mot0000083

Voelkle, M. C., Gische, C., Driver, C. C., & Lindenberger, U. (2018). The role of time in the quest for understanding psychological mechanisms. Multivariate Behavioral Research, 53(6), 782-805. doi:10.1080/00273171.2018.1496813

Voelkle, M. C., Luedtke, O., & von Oertzen, T. (2018). Zurück in die Zukunft? Ein Diskussionsbeitrag zum "Positionspapier zur Rolle der Psychologischen Methodenlehre in Forschung und Lehre". Psychologische Rundschau, 69, 358-360. doi:10.1026/0033-3042/a000417

Wagner, J., Voelkle, M. C., Hoppmann, C. A., Luszcz, M. A., & Gerstorf, D. (2018). We are in this together: Dyadic patterns of self-esteem change in late-life couples. International Journal of Behavioral Development, 42, 34-42. doi: 10.1177/0165025416679742

Yuan, P., Voelkle, M. C., & Raz, N. (2018). Fluid intelligence and gross structural properties of the cerebral cortex in middle-aged and older adults: A multi-occasion longitudinal study. NeuroImage, 172, 21-30. doi: 10.1016/j.neuroimage.2018.01.032


2017


Adolf, J. K., Voelkle, M. C., Brose, A., & Schmiedek, F. (2017). Capturing Context-Related Change in Emotional Dynamics via Fixed Moderated Time Series Analysis. Multivariate Behavioral Research, 52(4), 499-531. doi:10.1080/00273171.2017.1321978

de Haan-Rietdijk, S., Voelkle, M. C., Keijsers, L., & Hamaker, E. L. (2017). Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data. Frontiers in Psychology: Quantitative Psychology and Measurement, 8(1849). doi:10.3389/fpsyg.2017.01849

Driver, C. C., Oud, J. H. L., & Voelkle, M. C. (2017). Continuous Time Structural Equation Modeling with R Package ctsem. Journal of Statistical Software, 77(5), 1-35. doi:10.18637/jss.v077.i05

Klumb, P. L., Voelkle, M. C., & Siegler, S. (2017). How negative social interactions at work seep into the home: A prosocial and an antisocial pathway. Journal of Organizational Behavior, 38(5), 629-649. doi:10.1002/job.2154

Voelkle, M. C. (2017). A new perspective on three old methodological issues: The role of time, missing values, and cohorts in longitudinal models of youth development. In A. C. Petersen, S. H. Koller, F. Motti-Stefanidi, & S. Verma (Eds.), Positive youth development in global contexts of social and economic change (pp. 110-136). New York, NY: Taylor & Francis.

Voelkle, M. C. (2017). Latent Growth Curve Models (LGMs). In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-5). Cham: Springer International Publishing.

Voelkle, M. C., & Hecht, M. (2017). Cross-Sectional Research Designs. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-4). Cham: Springer International Publishing.

Voelkle, M. C., & Hecht, M. (2017). Longitudinal Research Designs. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-6). Cham: Springer International Publishing.

Voelkle, M. C., & Wagner, J. (2017). Analyzing personality change: From average trajectories to within-person dynamics. In J. Specht (Ed.), Personality Development Across the Lifespan (pp. 497-516). London, UK: Elsevier.


2016


Bender, A. R., Voelkle, M. C., & Raz, N. (2016). Differential aging of cerebral white matter in middle-aged and older adults: A seven-year follow-up. NeuroImage, 125, 74-83. doi:http://dx.doi.org/10.1016/j.neuroimage.2015.10.030

Duezel, S., Voelkle, M. C., Duzel, E., Gerstorf, D., Drewelies, J., Steinhagen-Thiessen, E., Demuth, I., Lindenberger, U. (2016). The Subjective Health Horizon Questionnaire (SHH-Q): Assessing Future Time Perspectives for Facets of an Active Lifestyle. Gerontology, 62(3), 345-353. doi:10.1159/000441493

Keijsers, L., Voelkle, M. C., Maciejewski, D., Branje, S., Koot, H., Hiemstra, M., & Meeus, W. (2016). What drives developmental change in adolescent disclosure and maternal knowledge? Heterogeneity in within-family processes. Developmental Psychology, 52(12), 2057-2070. doi:10.1037/dev0000220

Schulz-Zhecheva, Y., Voelkle, M. C., Beauducel, A., Biscaldi, M., & Klein, C. (2016). Predicting fluid intelligence by components of reaction time distributions from simple choice reaction time tasks. Journal of Intelligence, 4(3), 1-12. doi:10.3390/jintelligence4030008


2015


Brose, A., Voelkle, M. C., Lövdén, M., Lindenberger, U., & Schmiedek, F. (2015). Differences in the between-person and the within-person structures of affect are a matter of degree. European Journal of Personality, 29, 55-71. doi:10.1002/per.1961

Jekauc, D., Voelkle, M. C., Wagner, M. O., & Mess, F. (2015). Prediction of attendance at fitness center: a comparison between theory of planned behavior, social cognitive theory, and physical activity maintenance theory. Frontiers in Psychology, 6. doi: 10.3389/fpsyg.2015.00121

Voelkle, M. C. (2015). Comment on “Morality in everyday life”. Science, 348(6236), 767. doi: 10.1126/science.aaa2409

Voelkle, M. C., & Adolf, J. (2015). History of Longitudinal Statistical Analyses. In N. A. Pachana (Ed.), Encyclopedia of Geropsychology (pp. 1-10). Singapore: Springer Singapore.

Voelkle, M. C., & Oud, J. H. L. (2015). Relating Latent Change Score and Continuous Time Models. Structural Equation Modeling: A Multidisciplinary Journal, 22(3), 366-381. doi:10.1080/10705511.2014.935918


2014


Oud, J. H. L., & Voelkle, M. C. (2014). Continuous time analysis. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 1270-1274). Dordrecht, Netherlands: Springer.

Oud, J. H. L., & Voelkle, M. C. (2014). Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling. Quality & Quantity, 48, 3271-3288. doi: 10.1007/s11135-013-9955-9

Riediger, M.*, Voelkle, M. C.*, Schaefer, S., & Lindenberger, U. [*shared first authorship; authors listed in alphabetical order] (2014). Charting the life course: Age differences and validity of beliefs about lifespan development. Psychology and Aging, 29(3), 503-520. doi: 10.1037/a0036228

Voelkle, M. C., & Erdfelder, E. (2014). Power analysis. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 4989-4993). Dordrecht, Netherlands: Springer.

Voelkle, M. C., & Lindenberger, U. (2014). Cognitive development. Front. Young Minds, 2:1. doi: 10.3389/frym.2014.00001

Voelkle, M. C., Brose, A., Schmiedek, F., & Lindenberger, U. (2014). Towards a unified framework for the study of between-person and within-person structures: Building a bridge between two research paradigms. Multivariate Behavioral Research, 49, 193-213. doi: 10.1080/00273171.2014.889593

Voelkle, M. C., Ebner, N. C., Lindenberger, U., & Riediger, M. (2014). A note on age differences in mood-congruent versus mood-incongruent emotion processing in faces. Frontiers in Psychology, 5:635. doi: 10.3389/fpsyg.2014.00635


2013


Hämmerer, D., Li, S.-C., Voelkle, M. C., Müller, V., & Lindenberger, U. (2013). A lifespan comparison of the reliability, test-retest stability, and signal-to-noise ratio of event-related potentials assessed during performance monitoring. Psychophysiology, 50(1), 111-123. doi: 10.1111/j.1469-8986.2012.01476.x

Jekauc, D., Voelkle, M. C., Wagner, M. O., Mewes, N., & Woll, A. (2013). Reliability, Validity, and Measurement Invariance of the German Version of the Physical Activity Enjoyment Scale. Journal of Pediatric Psychology, 38(1), 104-115. doi: 10.1093/jpepsy/jss088

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, 103-126. doi: 10.1111/j.2044-8317.2012.02043.x

Voelkle, M. C., Ebner, N. C., Lindenberger, U., & Riediger, M. (2013). Here we go again: Anticipatory and reactive mood responses to recurring unpleasant situations throughout adulthood. Emotion, 13(3), 424-433. doi: 10.1037/a0031351


2012


Jekauc, D., Voelkle, M. C., Laemmle, L., & Woll, A. (2012). Fehlende Werte in sportwissenschaftlichen Untersuchungen: Eine anwendungsorientierte Einführung in multiple Imputation mit SPSS [Missing values in the sport scientific studies: A practical guide to multiple imputation with SPSS]. Sportwissenschaft, 42, 126-136. doi: 10.1007/s12662-012-0249-5

Voelkle, M. C., & McKnight, P. E. (2012). One size fits all? A monte-carlo simulation on the relationship between repeated measures (M)ANOVA and latent curve modeling. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 8, 23-38. doi: 10.1027/1614-2241/a000044

Voelkle, M. C., Ebner, N. C., Lindenberger, U., & Riediger, M. (2012). Let me guess how old you are: Effects of age, gender, and facial expression on perceptions of age. Psychology and Aging, 27(2), 265-277. doi: 10.1037/a0025065

Voelkle, M. C., Oud, J. H. L., Davidov, E., & Schmidt, P. (2012). An SEM approach to continuous time modeling of panel data: relating authoritarianism and anomia. Psychological Methods, 17(2), 176-192. doi: 10.1037/a0027543

Voelkle, M. C., Oud, J. H. L., von Oertzen, T., & Lindenberger, U. (2012). Maximum likelihood dynamic factor modeling for arbitrary N and T using SEM. Structural Equation Modeling: A Multidisciplinary Journal, 19, 329-350. doi: 10.1080/10705511.2012.687656

Zeng, G., Fu, P., May, H., Lopez, B., Suarez-Morales, L., Voelkle, M. C., Wang, C.-P., & Boruch, R. (2012). America’s Youngest Kindergarteners’ Elevated Levels of Internalizing Problems at School Entry and Beyond: Evidence from the Early Childhood Longitudinal Study. School Mental Health, 1-14. doi: 10.1007/s12310-012-9077-x


2011


Mueller, K., Voelkle, M. C., & Hattrup, K. (2011). On the relationship between job satisfaction and non-response in employee attitude surveys: A longitudinal field study. Journal of Occupational and Organizational Psychology, 84, 780-798. doi: 10.1348/096317910X526777

Riediger, M., Voelkle, M. C., Ebner, N. C., & Lindenberger, U. (2011). Beyond happy, angry, or sad? Age-of-poser and age-of-rater effects on multi-dimensional emotion perception. Cognition and Emotion, 25(6), 968-982. doi: 10.1080/02699931.2010.540812

Wittmann, W. W., Lutz, W., Steffanowski, A., Kriz, D., Glahn, E., Voelkle, M. C., Böhnke, J. R., Köck, K., Bittermann, A., & Ruprecht, T. (2011). Qualitätsmonitoring in der ambulanten Psychotherapie: Modellprojekt der Techniker Krankenkasse - Abschlussbericht. Hamburg: Techniker Krankenkasse.


2010


Voelkle, M. C., & Erdfelder, E. (2010). Varianz- und Kovarianzanalyse [analysis of variance and covariance]. In C. Wolf & H. Best (Eds.), Handbuch der sozialwissenschaftlichen Datenanalyse [Handbook of data analysis in the social sciences] (pp. 451-489). Wiesbaden: VS-Verlag.


2008


Voelkle, M. C. (2008). Reconsidering the use of autoregressive latent trajectory (ALT) models. Multivariate Behavioral Research, 43, 564-591. doi: 10.1080/00273170802490665

Voelkle, M. C., & Sander, N. (2008). University drop-out: A structural equation approach to discrete-time survival analysis. Journal of Individual Differences, 29(3), 134-147. doi: 10.1027/1614-0001.29.3.134


2007


Voelkle, M. C. (2007). Latent growth curve modeling as an integrative approach to the analysis of change. Psychology Science Quarterly, 49(4), 375-414.

Voelkle, M. C., Ackerman, P. L., & Wittmann, W. W. (2007). Effect sizes and F-ratios smaller 1.0: Sense or nonsense? Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 3(1), 35-46. doi: 10.1027/1614-2241.3.1.35


2006


Voelkle, M. C., Wittmann, W. W., & Ackerman, P. L. (2006). Abilities and skill acquisition: A latent growth curve approach. Learning and Individual Differences, 16, 303-319. doi: 10.1016/j.lindif.2006.01.001


2005


Voelkle, M. C. (2005). The Missing Link "z" - Using Theory as a Guide to Reliability. In A. Beauducel, B. Biehl, M. Bosnjak, W. Conrad, G. Schönberger, & D. Wagener (Eds.), Multivariate research strategies. Aachen: Shaker Publishers.