Cited by 943Diverse Academic Research AreasStatistical Methods and ApplicationsPsychology Research and Bibliometrics

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The Reviewer's Guide to Quantitative Methods in the Social Sciences

Gregory R. Hancock, Ralph O. Mueller, Laura M. Stapleton, Ralph O. Mueller·2010·Routledge eBooks

DOI 10.4324/9780203861554

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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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Background
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Open Government: Development, Concept, and Future Research Directions
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Method
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BackgroundInfluential
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Method
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Method
Family conflict shapes how adolescents take risks when their family is affected
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Background
Use of t-test and ANOVA in Career-Technical Education Research
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Empathy across three generations: From maternal and peer support in adolescence to adult parenting and child outcomes
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“Evaluation of the ML-SEM model (Model 1) was based on the following criteria recommended by Mueller and Hancock (2010): the root mean square error of approximation (RMSEA) (Steiger, 1990) and the standardized root mean square residual (SRMR) (Bentler, 1995) not being larger than 0.05, and the…”
Influential
SURVIVAL ANALYSIS OF THAI MICRO AND SMALL ENTERPRISES DURING THE COVID-19 PANDEMIC
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Compassion Questionnaires: Scales Development and Validation
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Happy Teachers Make Happy Students: The Social Contagion of Well-Being from Teachers to Their Students
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Ranse, K., Yates, P. M., & Coyer, F. M. (2014) · Journal of Advanced Nursing · doi:10.1111/jan.12576 · Cited by 19
Managing Clustered Data Using Hierarchical Linear Modeling
Warne, R. T., Li, Y., McKyer, E. L. J., Condie, R., Diep, C. S., & Murano, P. S. (2012) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2011.06.013 · Cited by 19
Measuring Attitudes About Women’s Recourse After Exposure to Intimate Partner Violence
Yount, K. M., VanderEnde, K. E., Zureick‐Brown, S., Minh, T., Schuler, S. R., & Anh, H. T. (2013) · Journal of Interpersonal Violence · doi:10.1177/0886260513511536 · Cited by 19
Secondary analysis of large-scale assessment data: an alternative to variable-centred analysis
Chow, K. F., & Kennedy, K. J. (2014) · Educational Research and Evaluation · doi:10.1080/13803611.2014.976831 · Cited by 19
The Search for Causal Inferences: Using Propensity Scores Post Hoc to Reduce Estimation Error With Nonexperimental Research
Tumlinson, S. E., Sass, D. A., & Cano, S. M. (2014) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jst143 · Cited by 19
Developmental Change in Sibling Support and School Commitment Across Adolescence
Rogers, C. R., Guyer, A. E., Nishina, A., & Conger, K. J. (2017) · Journal of Research on Adolescence · doi:10.1111/jora.12370 · Cited by 26
“…for sibling support, five models were tested: estimation of all values except for the first (full estimation); estimation of the second and third data values (partial estimation); linear trajectory (0, 1, 2, 3); quadratic shape (0, 1, 4, 9); and a peaking trajectory (0, 1, 2, 1) (Preacher, 2010).”
Method
The Role of Initial Learning, Problem Features, Prior Knowledge, and Pattern Recognition on Transfer Success
Dinsmore, D. L., Baggetta, P., Doyle, S., & Loughlin, S. M. (2013) · The Journal of Experimental Education · doi:10.1080/00220973.2013.835299 · Cited by 24
Beyond the Mask
Ottone-Cross, K. L., Langley, S. D., Root, M. M., Gelbar, N. W., Bray, M. A., Luria, S. R., Choi, D., Kaufman, J. C., Courville, T., & Pan, X. (2016) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916669910 · Cited by 19
“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 (Olejnik, 2010).”
Method
Intersectionality in Research: Call for Inclusive, Decolonized, and Culturally Sensitive Research Designs in Counselor Education
Sharma, J., McDonald, C. P., Bledsoe, K. G., Grad, R. I., Jenkins, K., Moran, D., O’Hara, C. L., & Pester, D. A. (2021) · Counseling Outcome Research and Evaluation · doi:10.1080/21501378.2021.1922075 · Cited by 24
“…framework using quantitative methods, it is imperative that we recognize that quantitative methods often operate on certain data analysis assumptions (McCoach, 2010; Weston & Gore, 2006) and can be considered limiting in terms of inclusive, decolonized, and culturally sensitive research methods.”
Method
PTSD and depression in adult burn patients three months postburn: The contribution of psychosocial factors
Su, Y. (2023) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2023.03.004 · Cited by 19
Conceptions of classroom assessment and approaches to grading: teachers’ and students’ perspectives
Baidoo-Anu, D., Rasooli, A., DeLuca, C., & Cheng, L. (2023) · Education Inquiry · doi:10.1080/20004508.2023.2244136 · Cited by 23
Adolescent Diet and Time Use Clusters and Associations With Overweight and Obesity and Socioeconomic Position
Ferrar, K., & Golley, R. K. (2015) · Health Education & Behavior · doi:10.1177/1090198114560017 · Cited by 18
A comparison of competing technology acceptance models to explore personal, academic and professional portfolio acceptance behaviour
Ahmed, E., & Ward, R. (2016) · Journal of Computers in Education · doi:10.1007/s40692-016-0058-1 · Cited by 18
“…ﬁt index (CFI), Tucker-Lewis index (TLI), along with the Chi square ( v 2 ) value, degree of freedom (df), root mean square error of approximation (RMSEA) and standardised root mean residual (SRMR) values were used, as recommended by Hu and Bentler (1998), Kashy et al. (2009) and Widaman (2010).”
Method
Identified and engaged: A multi-level dynamic model of identification with the group and performance in collaborative learning
Curșeu, P. L., Rusu, A., Maricutoiu, L. P., Vîrgă, D., & Măgurean, S. (2020) · Learning and Individual Differences · doi:10.1016/j.lindif.2020.101838 · Cited by 18

Authors: Hancock, G. R., Mueller, R. O., Stapleton, L. M., & Mueller, R. O.
Venue: Routledge eBooks
Publisher: Routledge
Published: 2010-04-26
DOI: 10.4324/9780203861554
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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