The SAGE Handbook of Quantitative Methodology for the Social Sciences

The longitudinal association between weight change and health-related quality of life: the KORA S4/F4 cohort study

Laxy, M., Holle, R., Döring, A., Peters, A., & Hünger, M. (2013) · International Journal of Public Health · doi:10.1007/s00038-013-0506-x · Cited by 24

Family conflict and somatic symptoms over 10 years: A growth mixture model analysis

Bi, X., Moos, R. H., Timko, C., & Cronkite, R. C. (2015) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2015.01.013 · Cited by 24

Investigating Stage-Sequential Growth Mixture Models with Multiphase Longitudinal Data

Kim, S. Y., & Kim, J. (2012) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2012.659632 · Cited by 24

Anthropomorphic responses to new-to-market logos

Payne, C. R., Hyman, M. R., Niculescu, M., & Huhmann, B. A. (2013) · Journal of Marketing Management · doi:10.1080/0267257x.2013.770413 · Cited by 23

Profiling learning strategies of medical students: A person‐centered approach

Otto, N., Böckers, A., Shiozawa, T., Brunk, I., Schumann, S., Kugelmann, D., Missler, M., & Darici, D. (2024) · Medical Education · doi:10.1111/medu.15388 · Cited by 23

A psychometric measurement model for adult English language learners: Pearson Test of English Academic

Pae, H. K. (2012) · Educational Research and Evaluation · doi:10.1080/13803611.2011.650921 · Cited by 23

OC symptoms in African American young adults: The associations between racial discrimination, racial identity, and obsessive-compulsive symptoms

Willis, H. A., & Neblett, E. W. (2018) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2018.09.002 · Cited by 23

Cocaine use trajectories of club drug-using young adults recruited using time-space sampling

Ramo, D. E., Grov, C., Delucchi, K., Kelly, B. C., & Parsons, J. T. (2011) · Addictive Behaviors · doi:10.1016/j.addbeh.2011.08.003 · Cited by 23

Modeling the Phenotypic Architecture of Autism Symptoms from Time of Diagnosis to Age 6

Pathways in ASD Study Team, Georgiades, S., Boyle, M., Szatmári, P., Hanna, S., Duku, E., Zwaigenbaum, L., Bryson, S. E., Fombonne, E. J., Volden, J., et al. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2167-x · Cited by 23

Evaluating Temporal Trends from Occupational Lead Exposure Data Reported in the Published Literature Using Meta-Regression

Koh, D., Nam, J., Graubard, B. I., Chen, Y., Locke, S. J., & Friesen, M. C. (2014) · The Annals of Occupational Hygiene · doi:10.1093/annhyg/meu061 · Cited by 23

Using power analysis to estimate appropriate sample size

Tomczak, M., Tomczak, E., Kleka, P., & Lew, R. (2014) · Wielkopolska Digital Library · Cited by 23

Development and validation of the preparedness for Colorectal Cancer Surgery Questionnaire: PCSQ-pre 24

Carlsson, E. K., Pettersson, M. E., Öhlén, J., Sawatzky, R. G., Smith, F., & Friberg, F. (2016) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2016.09.002 · Cited by 23

Identifying reasons for historic car ownership and use and policy implications: An explorative latent class analysis

Araghi, Y., Kroesen, M., & van Wee, B. (2017) · Transport Policy · doi:10.1016/j.tranpol.2017.02.008 · Cited by 23

Observed Family and Friendship Dynamics in Adolescence: a Latent Profile Approach to Identifying “Mesosystem” Adaptation for Intervention Tailoring

Dishion, T. J., Mun, C. J., Ha, T., & Tein, J. (2018) · Prevention Science · doi:10.1007/s11121-018-0927-0 · Cited by 26

Exploring brand management strategies in Chinese manufacturing industry

Lin, F., & Siu, W. (2019) · Journal of Brand Management · doi:10.1057/s41262-019-00166-6 · Cited by 23

What type of Type I error? Contrasting the Neyman–Pearson and Fisherian approaches in the context of exact and direct replications

Rubin, M. (2019) · Synthese · doi:10.1007/s11229-019-02433-0 · Cited by 26

Diversification of Farmland use in Bangladesh: Land Allocation Impacts on Farm Profitability

Palash, M. S., & Bauer, S. (2017) · Open Agriculture · doi:10.1515/opag-2017-0018 · Cited by 23

Long-term outcomes of Sweden's Contact Family Program for children

Brännström, L., Vinnerljung, B., & Hjern, A. (2013) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2013.01.009 · Cited by 22

Terminally Ill Cancer Patients' Concordance Between Preferred Life-Sustaining Treatment States in Their Last Six Months of Life and Received Life-Sustaining Treatment States in Their Last Month: An Observational Study

Wen, F., Chen, J., Su, P., Chang, W., Hsieh, C., Hou, M., Chou, W., & Tang, S. T. (2018) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2018.07.003 · Cited by 22

Predictors and trajectories of treatment response to SSRIs in patients suffering from PTSD

Nøhr, A. K., Eriksson, H., Hobart, M., Moltke, I., Buller, R., Albrechtsen, A., & Lindgreen, S. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113964 · Cited by 22

Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults

Cook, W. K., Li, L., Tam, C. C., Mulia, N., & Kerr, W. C. (2022) · BMC Public Health · doi:10.1186/s12889-022-12938-y · Cited by 22

Understanding the nature and severity of reading difficulties among students with language and reading comprehension difficulties

Capin, P., Gillam, S. L., Fall, A., Roberts, G., Dille, J. T., & Gillam, R. B. (2022) · Annals of Dyslexia · doi:10.1007/s11881-022-00255-3 · Cited by 28

Evaluation of symptom, clinical chemistry and metabolomics profiles during Rehmannia six formula (R6) treatment: An integrated and personalized data analysis approach

van Wietmarschen, H., van der Greef, J., Schroën, Y., & Wang, M. (2013) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2013.09.041 · Cited by 22

Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches

Ciavolino, E., Carpita, M., & Al‐Nasser, A. D. (2014) · Journal of Applied Statistics · doi:10.1080/02664763.2014.938226 · Cited by 22

Identifying combinations of control strategies in dwelling fit-out projects: A latent profile analysis

Ning, Y. (2017) · International Journal of Project Management · doi:10.1016/j.ijproman.2017.02.003 · Cited by 22

Examining income dynamics and externalizing and internalizing trajectories through a developmental psychopathology lens: A nationally representative study

Miller, P. L., Betancur, L., Whitfield, K., & Votruba‐Drzal, E. (2020) · Development and Psychopathology · doi:10.1017/s0954579419001494 · Cited by 26

Situational effects may account for gain scores in cognitive ability testing: A longitudinal SEM approach

Matton, N., Vautier, S., & Raufaste, É. (2009) · Intelligence · doi:10.1016/j.intell.2009.03.011 · Cited by 22

Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application

Lu, Z. L., & Zhang, Z. J. (2013) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2013.07.036 · Cited by 22

Self-Determination Theory and Computer-Mediated Support: Modeling Effects on Breast Cancer Patient’s Quality-of-Life

Hull, S. J., Abril, E. P., Shah, D. V., Choi, M., Chih, M., Kim, S. C., Namkoong, K., Mctavish, F. M., & Gustafson, D. H. (2016) · Health Communication · doi:10.1080/10410236.2015.1048422 · Cited by 24

Fifth year persisters: High school, college, and early career outcomes for persisting non-graduates

Uretsky, M. C., & Henneberger, A. K. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105058 · Cited by 21

Recruitment strategies: non‐donor segmentation based on intrinsic and extrinsic stimuli

Martín‐Santana, J. D., Palacio, A. B., & Romero‐Domínguez, L. (2019) · Vox Sanguinis · doi:10.1111/vox.12858 · Cited by 25

Seroprevalence of vector-borne pathogens in outdoor workers from southern Italy and associated occupational risk factors

Stufano, A., Iatta, R., Sgroi, G., Jahantigh, H. R., Cagnazzo, F., Flöel, A., Lucchese, G., Loconsole, D., Centrone, F., Mendoza‐Roldan, J. A., et al. (2022) · Parasites & Vectors · doi:10.1186/s13071-022-05385-6 · Cited by 21

The role of socioeconomic status and school quality in the Philippines: Revisiting the Heyneman–Loxley effect

Huang, F. L. (2009) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2009.10.001 · Cited by 21

A Demonstration of the Impact of Outliers on the Decisions About the Number of Factors in Exploratory Factor Analysis

Liu, Y., Zumbo, B. D., & Wu, A. D. (2011) · Educational and Psychological Measurement · doi:10.1177/0013164411410878 · Cited by 21

Economic valuation of domestic water uses

Justes, A., Ortí, R. B., & Farizo, B. Á. (2013) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2013.11.113 · Cited by 21

Types of research output profiles: A multilevel latent class analysis of the Austrian Science Fund's final project report data

Mutz, R., Bornmann, L., & Daniel, H. (2012) · Research Evaluation · doi:10.1093/reseval/rvs038 · Cited by 21

Hydrogeochemical analysis of multiple aquifers in a coal mine based on nonlinear PCA and GIS

Ma, L., Qian, J., Zhao, W., Curtis, Z. K., & Zhang, R. (2016) · Environmental Earth Sciences · doi:10.1007/s12665-016-5532-6 · Cited by 21

Exploring the Role of Physical Education Teachers’ Domain-Specific Innovativeness, Educational Background, and Perceived School Support in CSPAP Adoption

Webster, C. A., Mîndrilă, D., Moore, C., Stewart, G. L., Orendorff, K. L., & Taunton, S. A. (2019) · Journal of Teaching in Physical Education · doi:10.1123/jtpe.2018-0313 · Cited by 21

Aggregated measures of functional disability in a nationally representative sample of disabled people: analysis of dimensionality according to gender and severity of disability

Cabrero‐García, J., & Pina, J. A. L. (2008) · Quality of Life Research · doi:10.1007/s11136-008-9313-x · Cited by 21

Specialization of ceramic production: A sherd assemblage based analytic perspective

Hirshman, A. J., Lovis, W. A., & Pollard, H. P. (2010) · Journal of Anthropological Archaeology · doi:10.1016/j.jaa.2010.03.003 · Cited by 21

The Stability of Self-Control: A Group-Based Approach

Jo, Y., & Zhang, Y. (2012) · Asian Journal of Criminology · doi:10.1007/s11417-012-9128-0 · Cited by 21

Classifying substance use disorder treatment facilities with co-located mental health services: A latent class analysis approach

Mauro, P. M., Furr-Holden, D., Strain, E. C., Crum, R. M., & Mojtabai, R. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.04.001 · Cited by 21

Consumer heterogeneity evolving from social group dynamics: Latent class analyses of German footwear consumption 1980–1991

Frenzel, A. (2007) · Journal of Business Research · doi:10.1016/j.jbusres.2007.02.009 · Cited by 21

IDENTIFYING INDIVIDUALS ENGAGING IN RISKY SEXUAL BEHAVIOUR FOR CHLAMYDIA INFECTION IN THE UK: A LATENT CLASS APPROACH

Stuart, B. L., & Hinde, A. (2009) · Journal of Biosocial Science · doi:10.1017/s0021932009990289 · Cited by 20

Identification of five frailty profiles in community-dwelling individuals aged 50–75: A latent class analysis of the SUCCEED survey data

Ségaux, L., Oubaya, N., Broussier, A., Baude, M., Canouï‐Poitrine, F., Naga, H., Laurent, M., Leissing-Desprez, C., Audureau, É., Ferrat, É., et al. (2019) · Maturitas · doi:10.1016/j.maturitas.2019.05.007 · Cited by 20

How meat reduction differs from other personal climate actions: Distinct concerns and cultural barriers among EU consumers

de Boer, J., & Aiking, H. (2022) · Food Quality and Preference · doi:10.1016/j.foodqual.2022.104646 · Cited by 20

Gender Ideology in Europe: Plotting Normative Types in a Multidimensional Space

van Damme, M., & Pavlopoulos, D. (2022) · Social Indicators Research · doi:10.1007/s11205-022-02976-9 · Cited by 20

Barriers to Off-Grid Energy Development: Evidence from a Comparative Survey of Private Sector Energy Service Providers in Eastern Africa

Jeuland, M., Babyenda, P., Beyene, A. D., Hinju, G., Mulwa, R. M., Phillips, J., & Zewdie, S. A. (2022) · Renewable Energy · doi:10.1016/j.renene.2023.119098 · Cited by 20

Local Dependence in Latent Class Analysis of Rare and Sensitive Events

Berzofsky, M., Biemer, P. P., & Kalsbeek, W. D. (2013) · Sociological Methods & Research · doi:10.1177/0049124113506407 · Cited by 20

Race‐specific transition patterns among alcohol use classes in adolescent girls

Dauber, S. E., Paulson, J. F., & Leiferman, J. A. (2010) · Journal of Adolescence · doi:10.1016/j.adolescence.2010.07.001 · Cited by 21

Previous sickness absence and current low perceived social support at work among employees in the general population: a historical cohort study

Knapstad, M., Holmgren, K. E., Hensing, G. K. E., & Øverland, S. N. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005963 · Cited by 20

Mechanism design for e-procurement auctions: On the efficacy of post-auction negotiation and quality effort incentives

Huang, H. Q., Kauffman, R. J., Xu, H., & Zhao, L. (2010) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2010.12.002 · Cited by 20

Infant stranger fear trajectories predict anxious behaviors and diurnal cortisol rhythm during childhood

Hulle, C. A. V., Moore, M. N., Lemery‐Chalfant, K., Goldsmith, H. H., & Brooker, R. J. (2017) · Development and Psychopathology · doi:10.1017/s0954579417000311 · Cited by 22

Using latent profile and transition analyses to understand patterns of informant ratings of child depressive symptoms

Herman, K. C., Cohen, D., Reinke, W. M., Ostrander, R. S., Burrell, L., McFarlane, E., & DUGGAN, A. K. (2018) · Journal of School Psychology · doi:10.1016/j.jsp.2018.05.004 · Cited by 20

Components of schizophrenia liability affect the growth of psychological stress sensitivity following major life events

Grattan, R. E., & Linscott, R. J. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.07.056 · Cited by 22

Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use

Wu, W., Wang, Z., Xu, K., Zhang, X., Amei, A., Gelernter, J. E., Zhao, H., Justice, A. C., & Wang, Z. (2019) · Genetics · doi:10.1534/genetics.119.302598 · Cited by 20

Message Delivery for the Treatment of Posttraumatic Stress Disorder: Longitudinal Observational Study of Symptom Trajectories

Malgaroli, M., Hull, T. D., Stirman, S. W., & Resick, P. A. (2020) · Journal of Medical Internet Research · doi:10.2196/15587 · Cited by 20

INTERNAL FRAUD RISK REDUCTION - Results of a Data Mining Case Study

Jans, M. J., Lybaert, N., & Vanhoof, K. (2008) · International Conference on Enterprise Information Systems · doi:10.5220/0001679201610166 · Cited by 20

Risk factor profiles among intravenous drug using young adults: A latent class analysis (LCA) approach

James, S., McField, E. S., & Montgomery, S. (2012) · Addictive Behaviors · doi:10.1016/j.addbeh.2012.09.002 · Cited by 20

Exploring Models of School Performance: From Theory to Practice

Choi, K., Goldschmidt, P., & Yamashiro, K. (2005) · Yearbook of the National Society for the Study of Education · doi:10.1111/j.1744-7984.2005.00028.x · Cited by 20

Caregiver Role Overload and Network Support in a Sample of Predominantly Low-Income, African-American Caregivers of Persons Living with HIV/AIDS: A Structural Equation Modeling Analysis

Mitchell, M. M., & Knowlton, A. R. (2011) · AIDS and Behavior · doi:10.1007/s10461-011-9886-1 · Cited by 20

Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric

Peeters, C. F. W. (2012) · Psychometrika · doi:10.1007/s11336-012-9259-3 · Cited by 20

Parental and adolescent health behaviors and pathways to adulthood

Bauldry, S., Shanahan, M. J., Macmillan, R., Miech, R. A., Boardman, J. D., Dean, D. O., & Cole, V. T. (2016) · Social Science Research · doi:10.1016/j.ssresearch.2016.02.006 · Cited by 20

Longitudinal phenotypes for alcoholism: Heterogeneity of course, early identifiers, and life course correlates

Jester, J. M., Buu, A., & Zucker, R. A. (2015) · Development and Psychopathology · doi:10.1017/s0954579415001157 · Cited by 20

Joint trajectories of extrinsic motivation and competence beliefs: A parallel-process growth mixture modeling approach

Lee, Y., & Ju, U. (2021) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2021.101944 · Cited by 19

Acculturation and Self-rated Health Among Asian Immigrants: The Role of Gender and Age

Kim, M. J., & Gorman, B. K. (2021) · Population Research and Policy Review · doi:10.1007/s11113-021-09642-x · Cited by 19

Using p-values for the comparison of classifiers: pitfalls and alternatives

Berrar, D. (2022) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-022-00828-1 · Cited by 22

Sense of Coherence Predicts Physical Activity Maintenance and Health-Related Quality of Life: A 3-Year Longitudinal Study on Cardiovascular Patients

Adorni, R., Greco, A., D’Αddario, M., Zanatta, F., Fattirolli, F., Franzelli, C., Maloberti, A., Giannattasio, C., & Steca, P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19084700 · Cited by 22

The number line estimation task is a valid tool for assessing mathematical achievement: A population-level study with 6484 Luxembourgish ninth-graders

Nuraydin, S., Stricker, J., Ugen, S., Martin, R., & Schneider, M. (2022) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2022.105521 · Cited by 22

Exploring student motivation and engagement in EMI: a latent profile analysis

Jiang, L. G., Zhou, N., Gu, M. M., & Li, X. (2024) · Language and Education · doi:10.1080/09500782.2024.2311146 · Cited by 19

Using latent outcome trajectory classes in causal inference

Ialongo, N. S., Jo, B., & Wang, C. (2009) · Statistics and Its Interface · doi:10.4310/sii.2009.v2.n4.a2 · Cited by 19

On Comparison of Clustering Methods for Pharmacoepidemiological Data

Feuillet, F., Bellanger, L., Hardouin, J.-B., Victorri‐Vigneau, C., & Sebille, V. (2014) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543406.2014.920855 · Cited by 19

Elaborating on the Effects of Early Offending: a Study of Factors that Mediate the Impact of Onset Age on Long-Term Trajectories of Criminal Behavior

Gann, S. M., Sullivan, C. J., & Ilchi, O. S. (2015) · Journal of Developmental and Life-Course Criminology · doi:10.1007/s40865-015-0003-4 · Cited by 21

The Evaluation of Two First-Grade Preventive Interventions on Childhood Aggression and Adolescent Marijuana Use: A Latent Transition Longitudinal Mixture Model

Liu, W., Lynne‐Landsman, S. D., Petras, H., Masyn, K. E., & Ialongo, N. S. (2013) · Prevention Science · doi:10.1007/s11121-013-0375-9 · Cited by 19

The Impact of Ignoring a Level of Nesting Structure in Multilevel Mixture Model

Chen, Q. (2012) · SAGE Open · doi:10.1177/2158244012442518 · Cited by 19

Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data

van der Palm, D. W., van der Ark, L. A., & Vermunt, J. K. (2016) · Journal of Classification · doi:10.1007/s00357-016-9195-5 · Cited by 19

Trajectories of Quality of Life after Hematopoietic Cell Transplantation: Secondary Analysis of Blood and Marrow Transplant Clinical Trials Network 0902 Data

Jim, H., Sutton, S. K., Small, B. J., Jacobsen, P. B., Wood, W. A., Knight, J. M., Majhail, N. S., Syrjala, K. L., & Lee, S. J. (2016) · Transplantation and Cellular Therapy · doi:10.1016/j.bbmt.2016.08.012 · Cited by 19

Rural and urban comparisons of polysubstance use profiles and associated injection behaviors among people who inject drugs in Puerto Rico

Hautala, D. S., Abadie, R., Khan, B., & Dombrowski, K. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.09.030 · Cited by 20

Assessing sound symbolism: Investigating phonetic forms, visual shapes and letter fonts in an implicit bouba-kiki experimental paradigm

de Carolis, L., Marsico, E., Arnaud, V., & Coupé, C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208874 · Cited by 19

A fuzzy approach for assessment of smart socio-cultural attributes of a historic urban landscape: Case study of Alwar walled city in India

Dhingra, M., & Chattopadhyay, S. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102855 · Cited by 19

A Typology of Research Methods Within the Social Sciences

Durrant, G. B. (2004) · ePrints Soton (University of Southampton) · Cited by 19

Graded back pain revisited – Do latent variable models change our understanding of severe back pain in the general population?

Schmidt, C. O., Raspe, H. H., & Kohlmann, T. (2010) · Pain · doi:10.1016/j.pain.2010.01.025 · Cited by 19

Multidimensional Unfolding by Nonmetric Multidimensional Scaling of Spearman Distances in the Extended Permutation Polytope

Deun, K. V., Heiser, W. J., & Delbeke, L. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341167 · Cited by 19

Latent Class Analysis

Neuhaus, V., & Ring, D. (2013) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2013.01.024 · Cited by 19

Item Selection Rules in Computerized Adaptive Testing

Barrada, J. R., Olea, J., Ponsoda, V., & Abad, F. J. (2009) · Methodology · doi:10.1027/1614-2241.5.1.7 · Cited by 19

Factor Structure Invariance of the Kaufman Adolescent and Adult Intelligence Test Across Male and Female Samples

Immekus, J. C., & Maller, S. J. (2009) · Educational and Psychological Measurement · doi:10.1177/0013164409344491 · Cited by 19

Growth Modeling With Latent Variables Using Mplus: Introductory And Intermediate Growth Models

Muthén, L. K., & Muthén, B. (2010) · Cited by 19

Symptom Shifting From Nonsuicidal Self-Injury to Substance Use and Borderline Personality Pathology

Steinhoff, A., Cavelti, M., Koenig, J., Reichl, C., & Kaess, M. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.44192 · Cited by 18

First-year students’ social adjustment process in professional higher education: key experiences and their occurrence over time

Willems, J., Coertjens, L., & Donche, V. (2021) · European Journal of Psychology of Education · doi:10.1007/s10212-021-00530-8 · Cited by 18

Profiles of instructional practices and associations with teachers’ self-efficacy, classroom autonomy, teacher collaboration, and school climate in Korea

Jang, J., Yoo, H., & Rubadeau, K. (2023) · Asia Pacific Education Review · doi:10.1007/s12564-023-09892-8 · Cited by 20

Genomic evolution shapes prostate cancer disease type

Woodcock, D. J., Sahli, A., Teslo, R., Bhandari, V., Gruber, A. J., Ziubroniewicz, A., Gundem, G., Xu, Y., Butler, A. P., Anokian, E., et al. (2024) · Cell Genomics · doi:10.1016/j.xgen.2024.100511 · Cited by 18

Household food security monitoring and evaluation using a resilience indicator: an application of categorical principal component analysis and simple sum of assets in five African countries

Browne, M., Ortmann, G. F., & Hendriks, S. L. (2014) · Agrekon · doi:10.1080/03031853.2014.915477 · Cited by 18

Grouping Youth With Similar Symptoms: A Person-Centered Approach to Transdiagnostic Subgroups

Bonadio, F. T., Dynes, M. E., Lackey, J. H., Tompsett, C. J., & Amrhein, K. E. (2016) · Journal of Clinical Psychology · doi:10.1002/jclp.22274 · Cited by 18

Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results

Huang, C., Dhruva, S. S., Coppi, A. C., Warner, F. J., Li, S., Lin, H., Nasir, K., & Krumholz, H. M. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.007509 · Cited by 18

Intra-day variation in daily outdoor walking speed among community-dwelling older adults

Kawai, H., Obuchi, S. P., Hirayama, R., Watanabe, Y., Hirano, H., Fujiwara, Y., Ihara, K., Kim, H., Kobayashi, Y., Mochimaru, M., et al. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02349-w · Cited by 18

The impact of organisational attributes on political participation: results of a multi‐level survey from Switzerland

Schulz, T., & Bailer, S. (2012) · Swiss Political Science Review · doi:10.1111/j.1662-6370.2012.02052.x · Cited by 18

A precarização do emprego na Europa

Oliveira, L., & Carvalho, H. (2008) · Dados · doi:10.1590/s0011-52582008000300001 · Cited by 18

Influence of acute blood pressure on short- and mid-term outcome of ischemic and hemorrhagic stroke

Pezzini, A., Grassi, M., Zotto, E. D., Volonghi, I., Giossi, A., Costa, P., Cappellari, M., Magoni, M., & Padovani, A. (2010) · Journal of Neurology · doi:10.1007/s00415-010-5813-z · Cited by 18

Levels of phonology related to reading and writing in middle childhood

Campo, R. D., Buchanan, W. R., Abbott, R. D., & Berninger, V. W. (2014) · Reading and Writing · doi:10.1007/s11145-014-9520-5 · Cited by 18

Predominant typologies of psychopathology in the United States: A latent class analysis

El-Gabalawy, R. M., Tsai, J., Harpaz‐Rotem, I., Hoff, R. A., Sareen, J., & Pietrzak, R. H. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.07.028 · Cited by 18

The SAGE Handbook of Quantitative Methods in Psychology

Millsap, R. E., & Maydeu‐Olivares, A. (2009) · SAGE Publications Ltd eBooks · doi:10.4135/9780857020994 · Cited by 403

The SAGE Handbook of Social Science Methodology

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