Quantifying explained variance in multilevel models: an integrative framework for defining R-squared measures

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870

Hierarchical Linear Models: Applications and Data Analysis Methods.

Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773

Multilevel analysis : an introduction to basic and advanced multilevel modeling

Snijders, T. A. B., & Bosker, R. (1999) · Cited by 6,830

Multilevel Analysis

Hox, J., Moerbeek, M., & van de Schoot, R. (2010) · doi:10.4324/9780203852279 · Cited by 3,469

Introducing Multilevel Modeling

Kreft, I., & de Leeuw, J. (1998) · doi:10.4135/9781849209366 · Cited by 2,997

Untitled work

(2011) · Cited by 2,025

Longitudinal Data Analysis

(2018) · Sage eBooks · doi:10.4135/9781506326139.n404 · Cited by 1,538

On effect size.

Kelley, K., & Preacher, K. J. (2012) · Psychological Methods · doi:10.1037/a0028086 · Cited by 1,084

Untitled work

(2010) · Cited by 1,013

Cautionary Note aboutR2

Kvålseth, T. O. (1985) · The American Statistician · doi:10.1080/00031305.1985.10479448 · Cited by 992

Supporting interdependent telework employees: A moderated-mediation model linking daily COVID-19 task setbacks to next-day work withdrawal.

Chong, S., Huang, Y., & Chang, C.-H. D. (2020) · Journal of Applied Psychology · doi:10.1037/apl0000843 · Cited by 407

Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data

Moshe, I., Terhorst, Y., Opoku Asare, K., Sander, L. B., Ferreira, D., Baumeister, H., Mohr, D. C., & Pulkki-Råback, L. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.625247 · Cited by 261

Same-sex marriage legalization associated with reduced implicit and explicit antigay bias

Ofosu, E. K., Chambers, M. K., Chen, J. M., & Hehman, E. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1806000116 · Cited by 264

A systematic study of microdosing psychedelics

Polito, V., & Stevenson, R. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211023 · Cited by 235

Catching Up on Multilevel Modeling

Hoffman, L., & Walters, R. W. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-020821-103525 · Cited by 138

Predicting postmortem interval based on microbial community sequences and machine learning algorithms

Liu, R., Gu, Y., Shen, M., Li, H., Zhang, K., Wang, Q., Wei, X., Zhang, H., Wu, D., Yu, K., et al. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.15000 · Cited by 110

Building psychosocial safety climate in turbulent times: The case of COVID-19.

Dollard, M. F., & Bailey, T. S. (2021) · Journal of Applied Psychology · doi:10.1037/apl0000939 · Cited by 119

r2mlm: An R package calculating R-squared measures for multilevel models

Shaw, M., Rights, J. D., Sterba, S. K., & Flake, J. K. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01841-4 · Cited by 98

Teacher emotional support in relation to social competence in preschool classrooms

Pakarinen, E., Lerkkanen, M., & von Suchodoletz, A. (2020) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2020.1791815 · Cited by 124

So You Want to Do ESM? 10 Essential Topics for Implementing the Experience-Sampling Method

Fritz, J., Piccirillo, M. L., Cohen, Z. D., Frumkin, M. R., Kirtley, O. J., Moeller, J., Neubauer, A. B., Norris, L. A., Schuurman, N. K., Snippe, E., et al. (2024) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459241267912 · Cited by 106

New Recommendations on the Use of R-Squared Differences in Multilevel Model Comparisons

Rights, J. D., & Sterba, S. K. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1660605 · Cited by 89

Distinct roles of state-like and trait-like patient–therapist alliance in psychotherapy

Zilcha‐Mano, S., & Fisher, H. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00029-z · Cited by 98

Eco-anxiety in daily life: Relationships with well-being and pro-environmental behavior

Lutz, P. K., Zelenski, J. M., & Newman, D. B. (2023) · Current Research in Ecological and Social Psychology · doi:10.1016/j.cresp.2023.100110 · Cited by 87

Teaching Bilingual Learners: Effects of a Language‐Based Reading Intervention on Academic Language and Reading Comprehension in Grades 4 and 5

Proctor, C. P., Silverman, R. D., Harring, J. R., Jones, R. L., & Hartranft, A. M. (2019) · Reading Research Quarterly · doi:10.1002/rrq.258 · Cited by 94

Authenticity, meaning in life, and life satisfaction: A multicomponent investigation of relationships at the trait and state levels

Lutz, P. K., Newman, D. B., Schlegel, R. J., & Wirtz, D. (2022) · Journal of Personality · doi:10.1111/jopy.12753 · Cited by 92

Investigating associations between momentary stress and cortisol in daily life: What have we learned so far?

Schlotz, W. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.11.038 · Cited by 85

The “situative nature” of competence and value beliefs and the predictive power of autonomy support: A multilevel investigation of repeated observations.

Parrisius, C., Gaspard, H., Zitzmann, S., Trautwein, U., & Nagengast, B. (2021) · Journal of Educational Psychology · doi:10.1037/edu0000680 · Cited by 73

Facial Impressions Are Predicted by the Structure of Group Stereotypes

Xie, S. Y., Flake, J. K., Stolier, R. M., Freeman, J. B., & Hehman, E. (2021) · Psychological Science · doi:10.1177/09567976211024259 · Cited by 68

Bidirectional Associations Between Inflammatory Biomarkers and Depressive Symptoms in Adolescents: Potential Causal Relationships

Moriarity, D. P., Kautz, M. M., Giollabhui, N. M., Klugman, J., Coe, C. L., Ellman, L. M., Abramson, L. Y., & Alloy, L. B. (2020) · Clinical Psychological Science · doi:10.1177/2167702620917458 · Cited by 69

The Influence of Daily Events on Emotion Regulation and Well-Being in Daily Life

Newman, D. B., & Nezlek, J. B. (2021) · Personality and Social Psychology Bulletin · doi:10.1177/0146167220980882 · Cited by 65

Flexible approaches for estimating partial eta squared in mixed-effects models with crossed random factors

Correll, J., Mellinger, C., & Pedersen, E. J. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01687-2 · Cited by 60

Elementary school teachers' self-efficacy, student-perceived support and students’ mathematics interest

Oppermann, E., & Lazarides, R. (2021) · Teaching and Teacher Education · doi:10.1016/j.tate.2021.103351 · Cited by 76

Reporting Practice in Multilevel Modeling: A Revisit After 10 Years

Luo, W., Li, H., Baek, E., Chen, S., Lam, K. H., & Semma, B. (2021) · Review of Educational Research · doi:10.3102/0034654321991229 · Cited by 70

Willingness to purchase counterfeit luxury brands: A cross‐cultural comparison

Tunçel, N. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12696 · Cited by 59

Nipping Temptation in the Bud: Examining Strategic Self-Control in Daily Life

Williamson, L. Z., & Wilkowski, B. M. (2019) · Personality and Social Psychology Bulletin · doi:10.1177/0146167219883606 · Cited by 57

Bayes Factors for Mixed Models

van Doorn, J. B., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E. (2021) · Computational Brain & Behavior · doi:10.1007/s42113-021-00113-2 · Cited by 56

Conducting and Evaluating Multilevel Studies: Recommendations, Resources, and a Checklist

González‐Romá, V., & Hernández, A. (2022) · Organizational Research Methods · doi:10.1177/10944281211060712 · Cited by 57

Alcohol craving and withdrawal at treatment entry prospectively predict alcohol use outcomes during outpatient treatment

Martins, J. S., Fogelman, N., Wemm, S., Hwang, S., & Sinha, R. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.109253 · Cited by 51

The transmission of values from math teachers to their ninth-grade students: Different mechanisms for different value dimensions?

Parrisius, C., Gaspard, H., Trautwein, U., & Nagengast, B. (2020) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2020.101891 · Cited by 58

Causal Inference with Multilevel Data: A Comparison of Different Propensity Score Weighting Approaches

Fuentes, A., Lüdtke, O., & Robitzsch, A. (2021) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1925521 · Cited by 55

Development of a rapid point-of-care test that measures neutralizing antibodies to SARS-CoV-2

Lake, D. F., Roeder, A. J., Kaleta, E. J., Jasbi, P., Pfeffer, K., Koelbela, C., Periasamy, S., Kuzmina, N. A., Bukreyev, A. A., Grys, T. E., et al. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.105024 · Cited by 49

Representational and decorative pictures in science and mathematics tests: Do they make a difference?

Lindner, M. A. (2020) · Learning and Instruction · doi:10.1016/j.learninstruc.2020.101345 · Cited by 60

Trusting on the shoulders of open giants? Open science increases trust in science for the public and academics

Song, H., Markowitz, D. M., & Taylor, S. H. (2022) · Journal of Communication · doi:10.1093/joc/jqac017 · Cited by 41

Is green the new sexy? Romantic of conspicuous conservation

Vélez, G. F. P., Tybur, J. M., & van Vugt, M. (2020) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2020.101530 · Cited by 51

Multilevel mediation analysis in R: A comparison of bootstrap and Bayesian approaches

Falk, C. F., Vogel, T. A., Hammami, S., & Miočević, M. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02079-4 · Cited by 50

More (of the right strategies) is better: disaggregating the naturalistic between- and within-person structure and effects of emotion regulation strategies

Southward, M. W., & Cheavens, J. S. (2020) · Cognition & Emotion · doi:10.1080/02699931.2020.1797637 · Cited by 45

Working Together on Diverse Tasks: A Longitudinal Study on Individual Workload, Presence and Emotional Recognition in Collaborative Virtual Environments

Khojasteh, N., & Won, A. S. (2021) · Frontiers in Virtual Reality · doi:10.3389/frvir.2021.643331 · Cited by 45

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial

Schillings, C., Meißner, E., Erb, B., Bendig, E., Schultchen, D., & Pollatos, O. (2024) · JMIR Mental Health · doi:10.2196/50454 · Cited by 50

Computer-based knowledge of results feedback in different delivery modes: Effects on performance, motivation, and achievement emotions

Kuklick, L., & Lindner, M. A. (2021) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2021.102001 · Cited by 42

Mindfulness-Based Stress Reduction Triggers a Long-Term Shift toward More Positive Appraisals of Emotional Ambiguity

Harp, N. R., Freeman, J. B., & Neta, M. (2022) · Journal of Experimental Psychology General · doi:10.1037/xge0001173 · Cited by 38

The dynamics of prayer in daily life and implications for well-being.

Newman, D. B., Nezlek, J. B., & Thrash, T. M. (2023) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000454 · Cited by 46

The danger of conflating level‐specific effects of control variables when primary interest lies in level‐2 effects

Rights, J. D., Preacher, K. J., & Cole, D. A. (2019) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12194 · Cited by 39

Detecting Consensus Emergence in Organizational Multilevel Data: Power Simulations

Lang, J. W. B., Bliese, P. D., & Runge, J. M. (2019) · Organizational Research Methods · doi:10.1177/1094428119873950 · Cited by 37

Efficacy of a web-based intervention for improving psychosocial well-being in patients with implantable cardioverter-defibrillators: the randomized controlled ICD-FORUM trial

Schulz, S. M., Ritter, O., Zniva, R., Nordbeck, P., Wacker, C., Jack, M., Groschup, G., Deneke, T., Puppe, F., Ertl, G., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz134 · Cited by 35

Micro-electro-mechanical acoustofluidic mixing system: A response surface-metaheuristic machine learning fusion framework

Hassani, F., Kouhkord, A., Golshani, A., Amirmahani, M., Moghanlou, F. S., Naserifar, N., & Beris, A. T. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123638 · Cited by 34

Examining individual differences in personality trait changes after negative life events

Haehner, P., Bleidorn, W., & Hopwood, C. J. (2023) · European Journal of Personality · doi:10.1177/08902070231156840 · Cited by 34

Spatial and temporal overlaps between leopards ( Panthera pardus ) and their competitors in the African large predator guild

Rafiq, K., Hayward, M. W., Wilson, A. M., Meloro, C., Jordan, N. R., Wich, S. A., McNutt, J. W., & Golabek, K. A. (2020) · Journal of Zoology · doi:10.1111/jzo.12781 · Cited by 35

Conditional repeatability and the variance explained by reaction norm variation in random slope models

Schielzeth, H., & Nakagawa, S. (2022) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13856 · Cited by 33

Statistics in the Service of Science: Don’t Let the Tail Wag the Dog

Singmann, H., Kellen, D., Cox, G. E., Chandramouli, S., Davis‐Stober, C. P., Dunn, J. C., Gronau, Q. F., Kalish, M. L., McMullin, S. D., Navarro, D., et al. (2022) · Computational Brain & Behavior · doi:10.1007/s42113-022-00129-2 · Cited by 34

The impact of the COVID-19 pandemic on environmental values

Sneddon, J., Daniel, E., Fischer, R. D., & Lee, J. A. (2022) · Sustainability Science · doi:10.1007/s11625-022-01151-w · Cited by 32

R-squared Measures for Multilevel Models with Three or More Levels

Rights, J. D., & Sterba, S. K. (2022) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1985948 · Cited by 35

Affective-motivational effects of performance feedback in computer-based assessment: Does error message complexity matter?

Kuklick, L., & Lindner, M. A. (2022) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2022.102146 · Cited by 34

How to Run Linear Mixed Effects Analysis for Pairwise Comparisons? A Tutorial and a Proposal for the Calculation of Standardized Effect Sizes

Brysbaert, M., & Debeer, D. (2025) · Journal of Cognition · doi:10.5334/joc.409 · Cited by 32

Are There Unconscious Visual Images in Aphantasia? Development of an Implicit Priming Paradigm

Purkart, R., Delem, M., Ranson, V., Andrey, C., Versace, R., Cavalli, E., & Plancher, G. (2024) · Cognition · doi:10.1016/j.cognition.2024.106059 · Cited by 30

Geographic patterns of implicit age bias and associations with state‐level health outcomes across the United States

Giasson, H. L., & Chopik, W. J. (2020) · European Journal of Social Psychology · doi:10.1002/ejsp.2707 · Cited by 32

INVESTIGATING TEXTUAL ENHANCEMENT AND CAPTIONS IN L2 GRAMMAR AND VOCABULARY

Cintrón-Valentín, M., & García-Amaya, L. (2021) · Studies in Second Language Acquisition · doi:10.1017/s0272263120000492 · Cited by 18

The Effects of a 3-Week Heartbeat Perception Training on Interoceptive Abilities

Schillings, C., Karanassios, G., Schulte, N., Schultchen, D., & Pollatos, O. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.838055 · Cited by 34

Contrasting Effects of Finding Meaning and Searching for Meaning, and Political Orientation and Religiosity, on Feelings and Behaviors During the COVID-19 Pandemic

Newman, D. B., Schneider, S., & Stone, A. A. (2021) · Personality and Social Psychology Bulletin · doi:10.1177/01461672211030383 · Cited by 29

Crop-specific effectiveness of birds as agents of pest control

Mayne, S. J., King, D. I., Andersen, J. C., & Elkinton, J. S. (2023) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2023.108395 · Cited by 28

misty: Miscellaneous Functions 'T. Yanagida'

Yanagida, T. (2020) · doi:10.32614/cran.package.misty · Cited by 28

Effect size measures for longitudinal growth analyses: Extending a framework of multilevel model R‐squareds to accommodate heteroscedasticity, autocorrelation, nonlinearity, and alternative centering strategies

Rights, J. D., & Sterba, S. K. (2021) · New Directions for Child and Adolescent Development · doi:10.1002/cad.20387 · Cited by 27

The SAFE Model: State Authenticity as a Function of Three Types of Fit

Aday, A. E., Guo, Y., Mehta, S., Chen, S., Hall, W. M., Götz, F. M., Sedikides, C., & Schmader, T. (2024) · Personality and Social Psychology Bulletin · doi:10.1177/01461672231223597 · Cited by 27

Multifractal Nonlinearity Moderates Feedforward and Feedback Responses to Suprapostural Perturbations

Kelty‐Stephen, D. G., Lee, J.-H., Cole, K. R., Shields, R. K., & Mangalam, M. (2023) · Perceptual and Motor Skills · doi:10.1177/00315125221149147 · Cited by 29

Spring Break or Heart Break? Extending Valence Bias to Emotional Words

Harp, N. R., Brown, C., & Neta, M. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550620972296 · Cited by 28

Artificial scaffolding: Augmenting social cognition by means of robot technology

Ghiglino, D., Floris, F., Tommaso, D. D., Kompatsiari, K., Chevalier, P., Priolo, T., & Wykowska, A. (2023) · Autism Research · doi:10.1002/aur.2906 · Cited by 25

Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects

Elmousalami, H. H., Elshaboury, N., & Elyamany, A. H. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123789 · Cited by 25

Endogenous opioids contribute to the feeling of pain relief in humans

Sirucek, L., Price, R. C., Gandhi, W., Hoeppli, M., Fahey, E., Qu, A., Becker, S., & Schweinhardt, P. (2021) · Pain · doi:10.1097/j.pain.0000000000002285 · Cited by 24

Promoting energy sources as environmentally friendly: does it increase public acceptability?

Vélez, G. F. P., Perlaviciute, G., Contzen, N., & Steg, L. (2021) · Environmental Research Communications · doi:10.1088/2515-7620/ac32a8 · Cited by 24

The relationship between daily positive future thinking and past-week suicidal ideation in youth: An experience sampling study

Kirtley, O. J., Lafit, G., Vaessen, T., Decoster, J., Derom, C. A., Gülöksüz, S., Binder, M. D., Jacobs, N., Menne‐Lothmann, C., Rutten, B. P. F., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.915007 · Cited by 25

Interplay between midbrain and dorsal anterior cingulate regions arbitrates lingering reward effects on memory encoding

Aberg, K. C., Kramer, E. E., & Schwartz, S. (2020) · Nature Communications · doi:10.1038/s41467-020-15542-z · Cited by 25

The Contribution of Text Characteristics to Reading Comprehension: Investigating the Influence of Text Emotionality

Pickren, S. E., Stacy, M. E., Tufo, S. N. D., Spencer, M., & Cutting, L. E. (2021) · Reading Research Quarterly · doi:10.1002/rrq.431 · Cited by 32

The Sustainable Effect of Artificial Intelligence and Parental Control on Children’s Behavior While Using Smart Devices’ Apps: The Case of Saudi Arabia

Alrusaini, O. A., & Beyari, H. (2022) · Sustainability · doi:10.3390/su14159388 · Cited by 23

An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions

Keller, B. T., & Enders, C. K. (2023) · Multivariate Behavioral Research · doi:10.1080/00273171.2022.2147049 · Cited by 24

Understanding virtual design behaviors: A large-scale analysis of the design process in Virtual Reality

Wang, P., Miller, M. R., Han, E., DeVeaux, C., & Bailenson, J. N. (2023) · Design Studies · doi:10.1016/j.destud.2023.101237 · Cited by 23

A worldwide test of the predictive validity of ideal partner preference matching.

Eastwick, P. W., Sparks, J., Finkel, E. J., Meza, E. M., Adamkovic, M., Adu, P., Ai, T., Akintola, A. A., Al-Shawaf, L., Apriliawati, D., et al. (2024) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000524 · Cited by 23

Experience Versus Report: Where Are Changes Seen After Exposure-Based Cognitive-Behavioral Therapy? A Randomized Controlled Group Treatment of Childhood Social Anxiety Disorder

Asbrand, J., Heinrichs, N., Schmidtendorf, S., Nitschke, K., & Tuschen‐Caffier, B. (2020) · Child Psychiatry & Human Development · doi:10.1007/s10578-019-00954-w · Cited by 23

Enhanced memory for negative social information in borderline personality disorder.

Niedtfeld, I., Renkewitz, F., Mädebach, A., Hillmann, K., Kleindienst, N., Schmahl, C., & Schulze, L. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000540 · Cited by 22

Analyzing Nested Data

Bauer, D. J., McNeish, D., Baldwin, S. A., & Curran, P. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781316995808.039 · Cited by 22

Comparing daily physiological and psychological benefits of gratitude and optimism using a digital platform.

Newman, D. B., Gordon, A. M., & Mendes, W. B. (2021) · Emotion · doi:10.1037/emo0001025 · Cited by 22

Intuitive joint priors for Bayesian linear multilevel models: The R2D2M2 prior

Aguilar, J. E., & Bürkner, P. (2023) · Electronic Journal of Statistics · doi:10.1214/23-ejs2136 · Cited by 28

A multimedia effect for multiple-choice and constructed-response test items.

Lindner, M. A., Schult, J., & Mayer, R. E. (2020) · Journal of Educational Psychology · doi:10.1037/edu0000646 · Cited by 22

Caffeine exposure in utero is associated with structural brain alterations and deleterious neurocognitive outcomes in 9–10 year old children

Christensen, Z. P., Freedman, E. G., & Foxe, J. J. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108479 · Cited by 22

PowerLAPIM: An application to conduct power analysis for linear and quadratic longitudinal actor–partner interdependence models in intensive longitudinal dyadic designs

Lafit, G., Sels, L., Adolf, J., Loeys, T., & Ceulemans, E. (2022) · Journal of Social and Personal Relationships · doi:10.1177/02654075221080128 · Cited by 24

Effects of internally directed cognition on smooth pursuit eye movements: A systematic examination of perceptual decoupling

Korda, Ž., Annerer‐Walcher, S., Körner, C., & Benedek, M. (2023) · Attention Perception & Psychophysics · doi:10.3758/s13414-023-02688-3 · Cited by 26

Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco

Mezouary, L. E., Hadri, A., Kharrou, M. H., Fakır, Y., Elfarchouni, A., Bouchaou, L., & Chehbouni, A. (2024) · Applied Water Science · doi:10.1007/s13201-024-02162-x · Cited by 21

Development of ultrasonic calls in rat pups follows similar patterns regardless of isolation distress

Stark, R. A., Harker, A., Salamanca, S., Pellis, S. M., Li, F., & Gibb, R. L. (2019) · Developmental Psychobiology · doi:10.1002/dev.21933 · Cited by 21

Affective priming with musical chords is influenced by pitch numerosity

Lahdelma, I., Armitage, J. O., & Eerola, T. (2020) · Musicae Scientiae · doi:10.1177/1029864920911127 · Cited by 24

The Impact of the COVID-19 Pandemic on Trajectories of Well-Being of Middle-Aged and older Adults: A Multidimensional and Multidirectional Perspective

Wettstein, M., Wahl, H., & Schlomann, A. (2022) · Journal of Happiness Studies · doi:10.1007/s10902-022-00552-z · Cited by 20

Ruminative Variability Predicts Increases in Depression and Social Anxiety

Bean, C. A. L., & Ciesla, J. A. (2023) · Cognitive Therapy and Research · doi:10.1007/s10608-023-10451-z · Cited by 20

Ultrasound-assisted microfluidic cell separation: A study on microparticles for enhanced cancer diagnosis

Kouhkord, A., & Naserifar, N. (2025) · Physics of Fluids · doi:10.1063/5.0243667 · Cited by 20

Effect Size Measures for Multilevel Models in Clinical Child and Adolescent Research: New R-Squared Methods and Recommendations

Rights, J. D., & Cole, D. A. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1528550 · Cited by 20

The influence of reward magnitude on stimulus memory and stimulus generalization in categorization decisions.

Schlegelmilch, R., & von Helversen, B. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000747 · Cited by 21

Belief in a just world and well-being: A daily diary perspective

Lutz, P. K., Newman, D. B., & Zelenski, J. M. (2024) · Personality and Individual Differences · doi:10.1016/j.paid.2024.112886 · Cited by 19

Variation in bittersweet nostalgic feelings and their divergent effects on daily well-being.

Newman, D. B., & Sachs, M. E. (2022) · Emotion · doi:10.1037/emo0001137 · Cited by 20

The role of lay beliefs about willpower and daily demands in day-to-day pro-environmental behavior

Jankowski, J. M., & Job, V. (2023) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2023.102024 · Cited by 22

Age Differences in Physiological Reactivity to Daily Emotional Experiences

Park, Y., Gordon, A. M., & Mendes, W. B. (2023) · Affective Science · doi:10.1007/s42761-023-00207-z · Cited by 18

A Neuroimmune Modulator for Alcohol Use Disorder

Ray, L. A., Meredith, L. R., Grodin, E. N., Belnap, M. A., Nieto, S. J., Baskerville, W., Donato, S., SHOPTAW, S. J., Gillis, A. J., Irwin, M. R., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.7523 · Cited by 17

General and math vocabulary contributions to early numeracy skills in a large population-representative sample

Bleses, D., Moos, M., Purpura, D. J., & Dale, P. S. (2023) · Frontiers in Developmental Psychology · doi:10.3389/fdpys.2023.1279691 · Cited by 17

Cognitive flexibility in autism: How task predictability and sex influence performances

Lacroix, A., Torija, E., Logemann, H. N. A., Baciu, M., Cserjési, R., Dutheil, F., Gomot, M., & Mermillod, M. (2024) · Autism Research · doi:10.1002/aur.3281 · Cited by 18

Daily Peer Victimization Experiences of Adolescents With and Without Chronic Pain: Associations With Mood, Sleep, Pain, and Activity Limitations

Fales, J. L., Murphy, L. K., Rights, J. D., & Palermo, T. M. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.05.016 · Cited by 19

r2mlm: An R package calculating R-squared measures for multilevel models

Shaw, M., Rights, J. D., Sterba, S. K., & Flake, J. K. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01841-4 · Cited by 98

Effect Size Measures for Multilevel Models in Clinical Child and Adolescent Research: New R-Squared Methods and Recommendations

Rights, J. D., & Cole, D. A. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1528550 · Cited by 20

A framework of R-squared measures for single-level and multilevel regression mixture models.

Rights, J. D., & Sterba, S. K. (2017) · Psychological Methods · doi:10.1037/met0000139 · Cited by 32

R-squared Measures for Multilevel Models with Three or More Levels

Rights, J. D., & Sterba, S. K. (2022) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1985948 · Cited by 35

Effect Size Measures for Multilevel Models

游琇婷, & Yu, H. (2020)