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The Reviewer's Guide to Quantitative Methods in the Social Sciences
Abstract
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author’s reference for preparing sound research manuscripts and proposals. Key features include: The chapters cover virtually all of the popular classic and emerging quantitative techniques, thus helping reviewers to evaluate a manuscript’s methodological approach and its data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research. For ease of use, all chapters follow the same structure: the opening page of each chapter defines and explains the purpose of that statistical method the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion. Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.
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“Each TAQ item was checked to see if it was normally distributed. According to the guideline, if the skewness was ≤2.0 and the kurtosis was ≤7.0, the item can be regarded as a normal distribution [25].”
From Validation of the Tinnitus Acceptance Questionnaire: Japanese Version (2022) · cites this paper as [25]
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Items 401–500 of 943
Yu, J., Sun, S., & Cheah, C. S. L. (2015) · Assessment · doi:10.1177/1073191115586459 · Cited by 20
Öztürk, G., Hill, S., & Yates, G. C. R. (2015) · Early Child Development and Care · doi:10.1080/03004430.2015.1053477 · Cited by 18
Peterson, E. R., Mohal, J., Waldie, K. E., Reese, E., Carr, P. A., Grant, C. C., & Morton, S. (2017) · Journal of Personality Assessment · doi:10.1080/00223891.2017.1288128 · Cited by 18
“There are no standard guidelines for assessing item–data fit that can be applied to all IRT analyses (De Ayala, 2010).”
Temel, T., & Cesur, K. (2024) · SAGE Open · doi:10.1177/21582440241247928 · Cited by 47
Türk, N., Özmen, M., & Deri̇n, S. (2025) · Healthcare · doi:10.3390/healthcare13151875 · Cited by 23
“Second, the normality assumptions of the data were examined [52].”
Gómez, C. T. (2019) · Memory Studies · doi:10.1177/1750698019882055 · Cited by 17
“In order to address these questions, this research took a multi–strategy qualitative research approach (Bryman, 2008; Hancock and Mueller, 2010) and used action research techniques to reconstruct the socio-historical evolution of victims’ organisations from Eastern Antioquia from 1998 to 2018.”
MethodThe development of awareness of racism in adolescents of color over 4 years of high school
Seider, S. C., Graves, D. A., & Diaz, B. (2020) · Journal of Community Psychology · doi:10.1002/jcop.22494 · Cited by 18
Development of the Caregiving Burden Scale for Family Caregivers of Children with Cancer
Özdemir, H. N. Ç., & Şenol, S. (2021) · Western Journal of Nursing Research · doi:10.1177/01939459211041170 · Cited by 18
“These results revealed that the sample volume was sufficient for factor analysis and that the data showed a normal distribution (Bandalos & Finney, 2010).”
BackgroundResultAn Examination of the Psychology of Working Theory With Employed Asian American Women
Choi, N., Kim, Y. H., & Evans, C. A. (2022) · The Counseling Psychologist · doi:10.1177/00110000221116885 · Cited by 19
“The sample size appeared to be appropriate for sound parameter estimation and provide sufficient statistical power (having more than 5 cases per model parameter; Hancock & Mueller, 2010).”
BackgroundRajaguru, R., Matanda, M. J., & Prikshat, V. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122117 · Cited by 18
Haynes, P. (2014) · International Journal of Public Administration · doi:10.1080/01900692.2014.880849 · Cited by 22
Data Representativeness: Issues and Solutions
Milanzi, E., Njagi, E. N., Bruckers, L. M., & Molenberghs, G. (2015) · EFSA Supporting Publications · doi:10.2903/sp.efsa.2015.en-759 · Cited by 17
Goering, E. S. (2017) · Human Services Organizations Management Leadership & Governance · doi:10.1080/23303131.2017.1360814 · Cited by 18
“The sample size of organizations and individuals in the study are important to consider in organizational research (McCoach, 2010).”
BackgroundVoigt, L., Baumann, S., Ullrich, A., Weymar, F., John, U., & Ulbricht, S. (2018) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-018-0090-8 · Cited by 17
Oh-Young, C., Gordon, H. R. D., Xing, X., & Filler, J. W. (2018) · Journal of Research in Technical Careers · doi:10.9741/2578-2118.1010 · Cited by 17
“Other options such as kappa, weighted kappa, and intraclass correlation are also available (see Hoyt, 2010; Orwin & Vevea, 2009).”
MethodGan, Z., He, J., & Mu, K. (2019) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-019-00435-7 · Cited by 18
“Before the factor structure was finalized, the EFA was conducted multiple times until a cleanest factor structure was achieved (i.e., item loadings above.40, no item with cross-loadings, and no factors with fewer than three items; Bandalos and Finney 2010).”
MethodLópez-Díaz, Á., Fernández-González, J. L., Lara, I., & Ruiz-Veguilla, M. (2020) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-019-01014-z · Cited by 17
Keeping Up With the Joneses: District Adoption of the 4-Day School Week in Rural Missouri
Anglum, J. C., & Park, A. (2021) · AERA Open · doi:10.1177/23328584211002842 · Cited by 17
“Furthermore, multicollinearity typically is not considered a central concern in survival analysis (Allison, 2010).”
BackgroundFamily Cohesion and Sleep Disturbances During COVID-19: the Mediating Roles of Security and Stress
Ye, B., Hu, J., Im, H., Liu, M., Wang, X., & Yang, Q. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-022-00753-w · Cited by 18
“All variables were standardized and showed no significant deviation from normal distribution (skew from − 0.316 to 0.879, kurtosis from 0.003 to 0.480) (Hancock & Mueller, 2010).”
BackgroundInfluentialThe Spread of Higher Education Around the Globe
Yu, P., & Delaney, J. A. (2014) · Educational Policy · doi:10.1177/0895904814531648 · Cited by 17
“Again, we cannot detect the year that they crossed these thresholds as our analysis ends before all possible events have occurred (Allison, 2010).”
BackgroundStudent Perceptions of the Classroom Environment
Nelson, P. M., Ysseldyke, J. E., & Christ, T. J. (2015) · Assessment for Effective Intervention · doi:10.1177/1534508415581366 · Cited by 17
FNGOs and financial inclusion: Investigating the impact of microcredit on employment growth in Ghana
Atiase, V. Y., Wang, Y., & Mahmood, S. (2019) · The International Journal of Entrepreneurship and Innovation · doi:10.1177/1465750319832478 · Cited by 17
“It is suggested that factors with low factor loadings (< 0.50 for new models, < 0.60 for existing models should be deleted first and data recalculated until a higher value of 0.7 and above is achieved (Hancock and Mueller, 2010; Sidek and Mohamad, 2014).”
BackgroundInfluentialCai, Y., Peng, X., & Ge, Q. (2024) · Reading and Writing · doi:10.1007/s11145-024-10580-1 · Cited by 21
Lee, S., Soh, M., Ryu, V., et al. (2018) · International Journal of Mental Health Systems · doi:10.1186/s13033-018-0187-1 · Cited by 16
“As such, the Cox model is advantageous in that the data’s baseline hazard function provides a stable estimate of coefficients [26].”
Power and Procedure: Gaining Legitimacy in the Workplace
Hegtvedt, K. A., Johnson, C., Gibson, R., Hawks, K., & Hayward, J. L. (2021) · Social Forces · doi:10.1093/sf/soab103 · Cited by 16
Losada-Puente, L., Asorey, M. J. F., & ̄Castro, M. B. (2021) · International Journal of Disability Development and Education · doi:10.1080/1034912x.2021.1992752 · Cited by 27
“It provided evidence on the plausibility of various factorial structures that explain a theoretical construct (Bandalos & Finney, 2012).”
BackgroundMethodSelf-perceived employability among undergraduate students at a South African university
Botha, D. (2021) · SA Journal of Human Resource Management · doi:10.4102/sajhrm.v19i0.1685 · Cited by 16
“Hancock and Mueller (2010) stated that it is good practice to report multiple fit indices, preferably from three broad classes.”
BackgroundHealthcare Demand Procrastination Scale: Development and Validation Study
Söyler, S., Seda, U. Y. A. R., KIRAÇ, R., YILMAZ, G., & KIRAÇ, F. Ç. (2022) · Journal of Basic and Clinical Health Sciences · doi:10.30621/jbachs.1068530 · Cited by 18
Mattson, R. E., Parker, M. M., McKinnon, A. M., Massey, S. G., Merriwether, A. M., Hardesty, M., & Young, S. R. (2022) · Archives of Sexual Behavior · doi:10.1007/s10508-021-02217-z · Cited by 17
“We fit the hypothesized three-cluster model first; then, to ensure best fit to the data, we compared it against a two- and a four-cluster solution, as per standard cluster analytic practice (Pastor, 2010).”
MethodGoing, going, gone? Varieties of dissent and leader exit
Gleditsch, K. S., Olar, R.-G., & Radean, M. (2022) · Journal of Peace Research · doi:10.1177/00223433221092813 · Cited by 19
Evaluating the Effect of Planned Missing Designs in Structural Equation Model Fit Measures
Vicente, P. C. R. (2023) · Psych · doi:10.3390/psych5030064 · Cited by 16
Investigation of Response Aggregation Methods in Divergent Thinking Assessments
Saretzki, J., Andrae, R., Forthmann, B., & Benedek, M. (2024) · The Journal of Creative Behavior · doi:10.1002/jocb.1527 · Cited by 20
Factor structure of the Body Image Concern Inventory in a Japanese sample
Tanaka, M., Tayama, J., & 有村, 達. (2014) · Body Image · doi:10.1016/j.bodyim.2014.09.007 · Cited by 16
Turner, J. R., Chen, Q., & Danks, S. (2014) · Performance Improvement Quarterly · doi:10.1002/piq.21163 · Cited by 23
Métodos Quantitativos em Ciências Sociais: Sugestões para Elaboração do Relatório de Pesquisa
Gabriel, M. L. D. D. S. (2014) · Desenvolvimento em Questão · doi:10.21527/2237-6453.2014.28.348-369 · Cited by 16
Suzuki, K., Kita, Y., Kaga, M., Takehara, K., Misago, C., & Inagaki, M. (2016) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00017 · Cited by 16
Growth Trajectories of Task Value and Self-efficacy Across an Academic Semester
Johnson, M. L., Edwards, O. V., & Dai, T. (2014) · Universal Journal of Educational Research · doi:10.13189/ujer.2014.020102 · Cited by 16
Claborn, K., Becker, S. J., Ramsey, S. E., Rich, J. D., & Friedmann, P. D. (2017) · Addiction Science & Clinical Practice · doi:10.1186/s13722-017-0073-1 · Cited by 15
Substance Use Behaviors and the Timing of Family Formation During Young Adulthood
Jang, J. B., Patrick, M. E., & Schuler, M. S. (2017) · Journal of Family Issues · doi:10.1177/0192513x17710285 · Cited by 17
“Akaike’s information 1402 Journal of Family Issues 39(5) criterion and Bayesian information criterion were used to select the best model with regard to time specification (Allison, 2010).”
MethodLuck, T., Pabst, A., Röhr, S., Wiese, B., Eisele, M., Heser, K., Weeg, D., Fuchs, Â., Brettschneider, C., Werle, J., et al. (2019) · International Psychogeriatrics · doi:10.1017/s1041610219001935 · Cited by 17
Methods Commentary: Uncovering Unobserved Data Patterns With Latent Variable Mixture Modeling
Berlin, K. S., Ankney, R. L., & Rybak, T. M. (2018) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsy042 · Cited by 16
Identifying and predicting teachers' use of practices that support SRL
Callan, G. L., Longhurst, D. N., Shim, S. S., et al. (2022) · Psychology in the Schools · doi:10.1002/pits.22712 · Cited by 15
Number of placement changes among young people in care: Youth and caregiver associations
Stenason, L., & Romano, E. (2022) · Children and Youth Services Review · doi:10.1016/j.childyouth.2022.106737 · Cited by 16
Enhancing Student Attitudes via a Brief, Universal-Level Bullying Prevention Curriculum
Renshaw, T. L., & Jimerson, S. R. (2011) · School Mental Health · doi:10.1007/s12310-011-9069-2 · Cited by 15
Natesan, P., & Aerts, X. (2016) · Library & Information Science Research · doi:10.1016/j.lisr.2016.01.004 · Cited by 15
Relationship Problems among Men in Treatment for Engaging in Intimate Partner Violence
LaMotte, A. D., Meis, L. A., Winters, J. J., Barry, R. A., & Murphy, C. M. (2017) · Journal of Family Violence · doi:10.1007/s10896-017-9920-9 · Cited by 15
Assessing the Unidimensionality of Trait Reactance Using a Multifaceted Model Assessment Approach
Yost, A. B., & Finney, S. J. (2017) · Journal of Personality Assessment · doi:10.1080/00223891.2017.1280044 · Cited by 15
Gautun, H., Bratt, C., & Billings, J. R. (2020) · Health Science Reports · doi:10.1002/hsr2.174 · Cited by 15
Labour market uncertainty and the economic foundations of marriage in South Korea
Yoon, S., Lim, S., & Kim, L. (2021) · Asian Population Studies · doi:10.1080/17441730.2021.1932065 · Cited by 16
“We tested the assumption of proportional hazards by including interactions between SES measures and age (Allison, 2010, 2014).”
MethodPsychometric integrity of the C hinese H appiness I nventory among retired older people in T aiwan
Chiang, H., Lin, L., & Lee, T. S. (2015) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12568 · Cited by 15
Ross, A., & Searle, M. S. (2019) · International Journal of Community Well-Being · doi:10.1007/s42413-019-00018-w · Cited by 15
“Construct validity and reliability was supported as all construct indicators showed reasonable quality (standardized loadings exceeding 0.6), indicating that an acceptable amount of variance was captured by the latent constructs (Hancock and Mueller 2010).”
BackgroundInfluentialBourdon, J. L., Tillman, R., Francis, M. W., Dick, D. M., Stephenson, M. E., Kamarajan, C., Edenberg, H. J., Kramer, J., Samuel Kuperman, C., Bucholz, K. K., et al. (2020) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14290 · Cited by 15
“This is because covariate violations did not affect the interpretation of the associations of sex or generation with help-seeking and treatment (Allison, 1995; 2010).”
BackgroundSocial Networks and Personal Bankruptcy
Miller, M. M. (2015) · Journal of Empirical Legal Studies · doi:10.1111/jels.12073 · Cited by 15
Evidence Based on the Internal Structure of the Instrument: Factor Analysis
McCoach, D. B., Gable, R. K., & Madura, J. P. (2013) · Springer eBooks · doi:10.1007/978-1-4614-7135-6_4 · Cited by 16
Preservice teachers’ recognition of source and content bias in educational application (app) reviews
List, A., Lee, H. Y., Du, H., Oaxaca, G. S. C., Lyu, B., Falcon, A. L., & Lin, C.-J. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107297 · Cited by 14
Vasconcelos, L., & Kim, C. (2022) · Educational Technology Research and Development · doi:10.1007/s11423-022-10119-7 · Cited by 20
“…include alternative methods for assessing conceptual understanding in addition to interviews such as statistically validated surveys or tests (Field, 2013; Knapp & Mueller, 2010; Leung, 2015), as well as case scenarios (Grover et al., 2014) that involve applying concepts, and debugging faulty code.”
MethodLópez‐Díaz, Á., Fernández-González, J. L., Lara, I., Crespo‐Facorro, B., & Ruíz-Veguilla, M. (2019) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13092 · Cited by 14
“The listwise deletion method was used to process missing cases (51).”
MethodKim, H., & Epstein, N. B. (2020) · Stress and Health · doi:10.1002/smi.2979 · Cited by 14
The Decent Work Questionnaire: Psychometric properties of the Italian version
Ferraro, T., dos Santos, N. R., Pais, L., et al. (2021) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12328 · Cited by 14
Els, R. (., Meyer, H., & Ellis, S. M. (2021) · International Journal of Training and Development · doi:10.1111/ijtd.12243 · Cited by 14
A Social Cognitive Perspective on Opportunity Evaluation
Kushev, T. N., Ahuja, M. K., & Carter, R. E. (2018) · The Journal of Entrepreneurship · doi:10.1177/0971355718810570 · Cited by 14
Demonstrating the validity of the Video Game Functional Assessment-Revised (VGFA-R)
Buono, F. D., Upton, T. D., Griffiths, M. D., Sprong, M. E., & Bordieri, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.037 · Cited by 14
Zilberberg, A., Anderson, R. D., Finney, S. J., & Marsh, K. R. (2013) · Educational Assessment · doi:10.1080/10627197.2013.817153 · Cited by 14
Bele, I. V., & Kvalsund, R. (2016) · European Journal of Special Needs Education · doi:10.1080/08856257.2016.1187886 · Cited by 14
Brown, G., & Harris, L. R. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316832134.007 · Cited by 14
Deehan, J., McKinnon, D. H., & Danaia, L. (2019) · Journal of Science Teacher Education · doi:10.1080/1046560x.2019.1672377 · Cited by 14
“Missing data is a significant threat to the validity of repeated measures research (Lix & Keselman, 2010).”
BackgroundRoss, A., Wood, L. J., & Searle, M. S. (2020) · Health & Place · doi:10.1016/j.healthplace.2020.102422 · Cited by 15
Adair, K. E., Padgett, R. N., von Waaden, N., Wilson, R. L., & Bowden, R. G. (2020) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2020.09.010 · Cited by 14
Patterns of Cognitive Strengths and Weaknesses and Relationships to Math Errors
Koriakin, T. A., White, E., Breaux, K. C., DeBiase, E., O’Brien, R., Howell, M., Costa, M. A., Liu, X., Pan, X., & Courville, T. (2016) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916669909 · Cited by 13
“Therefore, as a follow-up analysis, the natural log of the determinant of the covariance matrix for each level of the independent variable was compared with the natural log determinant of the pooled matrix (Huberty & Petoskey, 2000; Olejnik, 2010) for each subtest.”
MethodBirth and employment transitions of women in Turkey: The emergence of role incompatibility
Özgören, A. A., Ergöçmen, B., & Tansel, A. (2018) · Demographic Research · doi:10.4054/demres.2018.39.46 · Cited by 13
Spencer, R. A., Yount, K. M., Essaid, A. A., Cheong, Y. F., Sajdi, J., Taleb, R. A., Bergenfeld, I., Batayeh, B., Sandhu, S., Robbin, Z., et al. (2021) · Journal of Interpersonal Violence · doi:10.1177/08862605211035880 · Cited by 13
“Second, we performed EFA (Gerbing & Hamilton, 1996) using the weighted least squares estimator (WLSMV) with GEOMIN (oblique) rotation for models with 1 through 5 factors among women in a random-split-half sample (N1 = 283) (Bandalos & Finney, 2010).”
BackgroundMethodLi, A. Y., & Kelchen, R. (2021) · Educational Policy · doi:10.1177/08959048211058439 · Cited by 13
“Significant interactions indicate evidence of non-proportionality, which means that the covariate’s effect varies across the time period of observation (Allison, 2010; Box-Steffensmeier & Jones, 2004).”
BackgroundMethodGautun, H., & Bratt, C. (2024) · Social Science & Medicine · doi:10.1016/j.socscimed.2024.116722 · Cited by 13
Global diffusion of laws: The case of minimum age of marriage legislation, 1965–2015
Ebetürk, I. (2021) · European Journal of Cultural and Political Sociology · doi:10.1080/23254823.2021.1887749 · Cited by 13
Park, H., Choi, S., Noh, K., & Hong, J. Y. (2021) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-021-01106-4 · Cited by 13
Black and latinx adolescents’ developing understandings about poverty, inequality, and opportunity
Diaz, B., May, S. C., & Seider, S. C. (2022) · Applied Developmental Science · doi:10.1080/10888691.2022.2040361 · Cited by 16
“In accordance with suggestions from Preacher (2010) and Grimm et al. (2016), Root Mean Square Error of Approximation (RMSEA) values less than .10 and .05, and Comparative Fit Index (CFA) values above .90 and .95 were considered consistent with acceptable and good model fit, respectively.”
BackgroundMethodWang, H., Zhang, H., Xie, J., & Zheng, J. (2022) · Current Psychology · doi:10.1007/s12144-022-04080-0 · Cited by 14
“Next, using Mplus 8.0 (Muthén & Muthén, 2017), we performed structural equation modeling (SEM) to test our hypotheses in two steps (Cole et al., 2008; Mueller & Hancock, 2010).”
InfluentialGao, B., Shen, Q., Lu, J., Xu, Y., & Wu, J. (2023) · Current Psychology · doi:10.1007/s12144-023-04891-9 · Cited by 14
Johansson, S., Strietholt, R., Rosén, M., & Myrberg, E. (2013) · School Effectiveness and School Improvement · doi:10.1080/09243453.2013.809774 · Cited by 14
Self-managers: Social contexts, personal traits, and organizational commitment
Chen, I., & Chung, A. (2013) · Asia Pacific Journal of Management · doi:10.1007/s10490-012-9337-1 · Cited by 13
Measuring Educators’ Perceptions of Their Skills Relative to Response to Intervention
Castillo, J. M., March, A. L., Stockslager, K. M., et al. (2015) · Assessment for Effective Intervention · doi:10.1177/1534508415616583 · Cited by 13
“Maximum likelihood estimation (the data were approximately normally distributed and the survey contained five response categories; Bandalos & Finney, 2010) and standard errors that corrected for educators being nested within schools were used.”
BackgroundMethodBaumann, S., Gaertner, B., Haberecht, K., Bischof, G., John, U., & Freyer‐Adam, J. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.01.040 · Cited by 14
Rousselière, D. (2019) · Journal of Quantitative Economics · doi:10.1007/s40953-019-00164-0 · Cited by 13
Shim, E., Noh, H. L., Lee, K.-M., Hwang, H., Son, K., Jung, D., Kim, W., Kong, S., Suh, Y., Lee, H., et al. (2019) · Supportive Care in Cancer · doi:10.1007/s00520-018-4604-4 · Cited by 13
Dykhouse, E. C., & Bikos, L. H. (2019) · International Journal of Intercultural Relations · doi:10.1016/j.ijintrel.2019.07.004 · Cited by 13
Finney, S., Satkus, P., & Perkins, B. (2020) · Educational Assessment · doi:10.1080/10627197.2020.1756254 · Cited by 13
“To assess local misfit, we examined correlation residuals, which are the difference between observed and model-implied correlations (Bandalos & Finney, 2010).”
MethodResources, aspirations and first births during the Great Recession
Comolli, C. L. (2021) · Advances in Life Course Research · doi:10.1016/j.alcr.2021.100405 · Cited by 13
Global virtual teams in education: Do peer assessments motivate student effort?
Román-Calderón, J. P., Robledo‐Ardila, C., & Vélez‐Calle, A. (2021) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2021.101021 · Cited by 13
Kam, J. A., Cornejo, M., & Marcoulides, K. M. (2021) · Journal of Communication · doi:10.1093/joc/jqab018 · Cited by 13
Curran, N. (2017) · Wiley eBooks · doi:10.1002/9781118976005.ch13 · Cited by 16
Xiong, Z., Liu, C., Song, M., & Ma, X. (2024) · Behavioral Sciences · doi:10.3390/bs14080628 · Cited by 23
López-Angulo, Y., Pérez-Villalobos, M. V., Bernardo, A. B., Cobo-Rendon, R. C., Sáez-Delgado, F., & Mújica, A. D. (2021) · Revista Iberoamericana de Diagnóstico y Evaluación - e Avaliação Psicológica · doi:10.21865/ridep58.1.11 · Cited by 12
Emotional Intelligence, Quality of Life, and Concern for Gender Perspective in Future Teachers
Sanabrias-Moreno, D., Zafra, M. S., Sánchez, M. L. Z., et al. (2023) · Sustainability · doi:10.3390/su15043640 · Cited by 12
Moyano, N., Sánchez-Fuentes, M. D. M., Parra-Barrera, S. M., Gómez-Berrocal, C., Quílez-Robres, A., & Granados, R. (2023) · Sexuality & Culture · doi:10.1007/s12119-023-10084-0 · Cited by 12
van der Merwe, D., de Beer, H., Ellis, S. M., Bester, P., Marais, F., & Steyn, A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296504 · Cited by 13
Assessing the Influence of Hand-Dug Well Features and Management on Water Quality
Gnimadi, C. J. I., Gawou, K., Aboah, M., Owiredu, E. O., & Adusei-Gyamfi, J. (2024) · Environmental Health Insights · doi:10.1177/11786302241249844 · Cited by 18
Yang, J.-S., Wang, L., Jin, C., Wu, Y., & Zhao, K. (2024) · Child Psychiatry & Human Development · doi:10.1007/s10578-024-01737-8 · Cited by 13
Parental phubbing, loneliness, and adolescent materialism: A cross-lagged panel study
Wang, P., Yin, L., Ouyang, M., Wang, W., & Lei, L. (2024) · Mobile Media & Communication · doi:10.1177/20501579241297941 · Cited by 14
“According to Hancock and Mueller ’ s (2010) suggestions, the data were normally distributed as the skewness and kurtosis for all variables were within acceptable ranges.”
Profiling Students’ Multiple Source Use by Question Type
List, A., Grossnickle, E. M., & Alexander, P. A. (2015) · Reading Psychology · doi:10.1080/02702711.2015.1111962 · Cited by 12
“While it is typically recommended to validate clusters on either two data sets or a single partitioned dataset (Pastor, 2010), this was not done in the present study; rather, clustering was verified across question type.”
BackgroundMethodWeiß, M., Nair, L. B., Hoorani, B. H., Gibbert, M., & Hoegl, M. (2023) · Journal of Informetrics · doi:10.1016/j.joi.2023.101396 · Cited by 14
Metadata
- Authors
- Hancock, G. R., Mueller, R. O., Stapleton, L. M., & Mueller, R. O.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2010-04-26
- OpenAlex
- W4214816511
- Cited by
- 942
- References
- 0
- Citations by year
- 2026: 20 · 2025: 56 · 2024: 68 · 2023: 74 · 2022: 75 · 2021: 71 · 2020: 70 · 2019: 96 · 2018: 74 · 2017: 74 · 2016: 86 · 2015: 57 · 2014: 44 · 2013: 39 · 2012: 18
- FWCI
- 28.10
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Education › Diverse Academic Research Areas
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- quantitative methods, peer review, manuscript review, research proposals, statistical analysis, methodological assumptions, methodological limitations, research design, social sciences, behavioral science
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