Literature

This is an incomplete list of some relevant literature that was collected within MITNB. It will be expanded soon. Some of the papers tackle multiple of the topics listed.

Theoretical papers/reviews

Schwarz, N., & Strack, F. (1999). Reports of Subjective Well-Being: Judgmental Processes and Their Methodological Implications. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Well-being: The Foundations of Hedonic Psychology (pp. 61–84). Russell Sage Foundation.

Norman, G. (2003). Hi! How Are You? Response Shift, Implicit Theories and Differing Epistemologies. Quality of Life Research, 12(3), 239–249.

Ram, N., Brinberg, M., Pincus, A. L., & Conroy, D. E. (2017). The Questionable Ecological Validity of Ecological Momentary Assessment: Considerations for Design and Analysis. Research in Human Development, 14(3), 253–270.

Kuppens, P., Dejonckheere, E., Kalokerinos, E. K., & Koval, P. (2022). Some Recommendations on the Use of Daily Life Methods in Affective Science. Affective Science, 3(2), 505–515.

Leertouwer, Ij., Cramer, A. O. J., Vermunt, J. K., & Schuurman, N. K. (2021). A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data. Frontiers in Psychology, 12, 764526.

Zumbo, B. D., & Hubley, A. M. (Eds.). (2017). Understanding and Investigating Response Processes in Validation Research. Springer International Publishing.

Validity

Cloos, L. J. R., Kuppens, P., & Ceulemans, E. (in press). Development, validation, and comparison of self-report measures for positive and negative affect in intensive longitudinal research. In Psychological Assessment.

Reliability

Dejonckheere, E., Demeyer, F., Geusens, B., Piot, M., Tuerlinckx, F., Verdonck, S., & Mestdagh, M. (2022). Assessing the Reliability of Single-Item Momentary Affective Measurements in Experience Sampling. Psychological Assessment.

Measurement reactivity/Initial elevation bias

Eisele, G., Vachon, H., Lafit, G., Tuyaerts, D., Houben, M., Kuppens, P., Myin-Germeys, I., & Viechtbauer, W. (2022). A Mixed-Method Investigation into Measurement Reactivity to the Experience Sampling Method: The Role of Sampling Protocol and Individual Characteristics. Psychological Assessment. Advance online publication.

König, L. M., Allmeta, A., Christlein, N., Van Emmenis, M., & Sutton, S. (2022). A Systematic Review and Meta-Analysis of Studies of Reactivity to Digital In-the-Moment Measurement of Health Behaviour. Health Psychology Review, 1–25.

Reynolds, B. M., Robles, T. F., & Repetti, R. L. (2016). Measurement Reactivity and Fatigue Effects in Daily Diary Research with Families. Developmental Psychology, 52(3), 442–456.

Cerino, E., Schneider, S., Stone, A., Sliwinski, M., Mogle, J., & Smyth, J. (2022). Little Evidence for Consistent Initial Elevation Bias in Self-Reported Momentary Affect: A Coordinated Analysis of Ecological Momentary Assessment Studies. Psychological Assessment, 34.

Measurement Invariance

Adolf, J., Schuurman, N. K., Borkenau, P., Borsboom, D., & Dolan, C. V. (2014). Measurement Invariance within and between Individuals: A Distinct Problem in Testing the Equivalence of Intra- and Inter-Individual Model Structures. Frontiers in Psychology, 5.

Vogelsmeier, L. V. D. E., Vermunt, J. K., & De Roover, K. (2022). How to Explore Within-Person and Between-Person Measurement Model Differences in Intensive Longitudinal Data with the R Package lmfa. Behavior Research Methods. Advance online publication.

Vogelsmeier, L. V. D. E., Vermunt, J. K., van Roekel, E., & De Roover, K. (2019). Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies. Structural Equation Modeling: A Multidisciplinary Journal, 26(4), 557–575.

Vogelsmeier, L. V. D. E., Vermunt, J. K., Bülow, A., & De Roover, K. (2021). Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach. Multivariate Behavioral Research, 1–30.

McNeish, D., Mackinnon, D. P., Marsch, L. A., & Poldrack, R. A. (2021). Measurement in Intensive Longitudinal Data. Structural Equation Modeling: A Multidisciplinary Journal, 28(5), 807–822.

Design Features

Eisele, G., Lafit, G., Vachon, H., Kuppens, P., Houben, M., Myin-Germeys, I., & Viechtbauer, W. (2021). Affective Structure, Measurement Invariance, and Reliability across Different Experience Sampling Protocols. Journal of Research in Personality, 92, 104094.

Eisele, G., Vachon, H., Lafit, G., Kuppens, P., Houben, M., Myin-Germeys, I., & Viechtbauer, W. (2022). The Effects of Sampling Frequency and Questionnaire Length on Perceived Burden, Compliance, and Careless Responding in Experience Sampling Data in a Student Population. Assessment, 29(2), 136–151.