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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 201–300 of 943
Fang, J., Wang, X., Wen, Z., & Huang, J. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105085 · Cited by 39
Fang, J., Wang, W., Ling, G., Yang, J., Wang, X., Wang, P., & Wen, Z. (2020) · Journal of Interpersonal Violence · doi:10.1177/0886260520960106 · Cited by 47
“The skewness and kurtosis of childhood maltreatment, CU traits, and perceived social support (See Table 1) fell within the acceptable range (i.e., skewness < |2.0| and kurtosis < |7.0|; Hancock & Mueller, 2010).”
BackgroundInfluentialGómez, L. E., Schalock, R. L., & Alonso, M. Á. V. (2021) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2021.104112 · Cited by 44
Mentoring: A Path to Prosocial Behavior
Taylor, E. Z., & Curtis, M. B. (2016) · Journal of Business Ethics · doi:10.1007/s10551-016-3325-1 · Cited by 39
“…public accounting firms use mentoring to acculturate employees in the current environment, this 18 Benchmarks for satisfactory fit of these measures are as follows: X2 should be nonsignificant for this sample size, CFI should exceed .95, and RMSEA should fall below .08 (Mueller and Hancock 2010).”
BackgroundFranke, S., & Kulu, H. (2017) · European Journal of Population / Revue européenne de Démographie · doi:10.1007/s10680-017-9423-7 · Cited by 39
Physical Education Students’ Ownership, Empowerment, and Satisfaction With PE and Physical Activity
Moore, E. W. G., & Fry, M. D. (2017) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2017.1372557 · Cited by 40
“In the current study, the Cronbach’ alpha coefficient values of the OES (α♀ = .54, α♂ = .56) were marginal, while the McDonald’s omega (ω) values (ω ♀ = .78, ω ♂ = .71) met the acceptable criterion level (ω ≥ .70; Knapp & Mueller, 2010).”
Intrinsic and instrumental agency associated with nutritional status of East African women
Jones, R., Haardörfer, R., Ramakrishnan, U., Yount, K. M., Miedema, S. S., Roach, T. D., & Girard, A. W. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.112803 · Cited by 39
Cai, Y., & Kunnan, A. J. (2019) · Language Testing · doi:10.1177/0265532219893384 · Cited by 40
“Following Mueller and Hancock (2010), a model was considered to have good fit if its CFI and TLI were not smaller than .95 and RMSEA and SRMR values not larger than .05.”
MethodA critical analysis of the Nigerian entrepreneurial ecosystem on transformational entrepreneurship
Egere, O. M., Maas, G. J. P., & Jones, P. K. (2022) · Journal of Small Business Management · doi:10.1080/00472778.2022.2123109 · Cited by 39
“Referring to Anderson and Gerbing (1988), the study checked the constructs of the factored structure and suggested deleting elements with loadings 0.50 for new models (Hancock et al., 2010).”
BackgroundInfluentialThe interplay between teacher empathy, students’ sense of school belonging, and learning achievement
Cai, Y., Yang, Y., Ge, Q., & Weng, H. (2022) · European Journal of Psychology of Education · doi:10.1007/s10212-022-00637-6 · Cited by 37
“The model-data fit was evaluated based on multiple criteria: Root Mean Square Error of Approximation (RMSEA) and Standardized Root Mean Square Residual (SRMR) no more than 0.05, and Tucker–Lewis index (TLI) and Comparative Fit Index (CFI) no smaller than 0.95 (Mueller & Hancock, 2010).”
MethodInfluentialOverweight and Obesity in Portuguese Children: Prevalence and Correlates
Gomes, T. N., Katzmarzyk, P. T., dos Santos, F., de Souza, M. C., Pereira, S., & Maia, J. A. R. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph111111398 · Cited by 42
Kida, J., Nemoto, K., Ikejima, C., Bun, S., Kakuma, T., Mizukami, K., & Asada, T. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150603 · Cited by 39
“In addition, randomization is not required in the study design [35].”
BackgroundThe impact of school-based assessment for qualifications on teachers’ conceptions of assessment
Yates, A., & Johnston, M. B. (2017) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594x.2017.1295020 · Cited by 38
Customer Relationship Management Research from 2007 to 2016: An Academic Literature Review
Sota, S., Chaudhry, H., Chamaria, A., et al. (2018) · Journal of Relationship Marketing · doi:10.1080/15332667.2018.1440148 · Cited by 38
“The hierarchical linear models are also called multilevel models, random effects models, and mixed models (McCoach, 2010).”
MethodYang, Z., Qi, S., LianPing, Z., Han, X., & Pan, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.596385 · Cited by 43
“As shown in Table 2, the skewness and kurtosis values did not reach the critical criterion (i.e., skewness < |2.0| and kurtosis < |7.0|; Hancock and Mueller, 2010), this indicated that all variables were normally distributed, and an analysis of the correlations revealed that work-family conflict…”
MethodInfluentialFloyd, R. G., Cooley, K. M., Arnett, J. E., Fagan, T. K., Mercer, S. H., & Hingle, C. (2011) · Journal of School Psychology · doi:10.1016/j.jsp.2011.11.008 · Cited by 38
Phansikar, M., Ashrafi, S. A., Khan, N. A., Massey, W. V., & Mullen, S. P. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16245103 · Cited by 32
“There is a lack of consensus on which study quality assessment metrics should be used [28], and whether they offer any meaningful metrics [29].”
BackgroundZhao, J., Joshi, R. M., Dixon, L. Q., et al. (2015) · Annals of Dyslexia · doi:10.1007/s11881-015-0110-2 · Cited by 37
Measuring Attitudes About Intimate Partner Violence Against Women: The ATT-IPV Scale
Yount, K. M., VanderEnde, K. E., Zureick‐Brown, S., Anh, H. T., Schuler, S. R., & Minh, T. (2014) · Demography · doi:10.1007/s13524-014-0297-6 · Cited by 37
Ibrahim, A., Aulls, M. W., & Shore, B. M. (2016) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-016-9733-y · Cited by 39
“Bandalos and Finney (2010) wrote, “internal consistency estimates for multidimensional instruments should be obtained for the dimensional level at which the scale will be interpreted and used” (p. 105).”
BackgroundMultilevel Cognitive Diagnosis Models for Assessing Changes in Latent Attributes
Huang, H. (2017) · Journal of Educational Measurement · doi:10.1111/jedm.12156 · Cited by 37
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
“…by itself, does not disaggregate level-specific effects) when they are used merely as control variables for level-2 predictors; other methodologists echo these recommendations (e.g., Dalal & Zickar, 2012; Enders, 2013; Hofmann &Gavin, 1998; McCoach, 2010; Peugh, 2010; Raudenbush & Bryk, 2002).”
BackgroundFang, J., Wang, X., Yuan, K., & Wen, Z. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.109814 · Cited by 43
Lampard, A. M., Nishi, A., Baskin, M. L., Carson, T. L., & Davison, K. K. (2014) · Behavioral Medicine · doi:10.1080/08964289.2014.979757 · Cited by 35
Further validation of the questionnaire for eudaimonic well-being (QEWB)
Schutte, L., Wissing, M. P., & Khumalo, I. P. (2013) · Psychology of Well-Being Theory Research and Practice · doi:10.1186/2211-1522-3-3 · Cited by 36
Ethical consumption behaviours in supermarket shoppers: determinants and marketing implications
Jayawardhena, C., Morrell, K., & Stride, C. (2016) · Journal of Marketing Management · doi:10.1080/0267257x.2015.1134627 · Cited by 36
“Following Hancock and Mueller (2010), the internal consistency (reliability) of each resultant grouping of items was tested using coefficient H.”
MethodInfluentialPreliminary Proactive Sample Size Determination for Confirmatory Factor Analysis Models
Koran, J. (2016) · Measurement and Evaluation in Counseling and Development · doi:10.1177/0748175616664012 · Cited by 38
Segmentierte Ausbildungsmärkte: Berufliche Chancen von Hauptschülerinnen und Hauptschülern im Wandel
Protsch, P. (2014) · Budrich UniPress eBooks · doi:10.3224/86388050 · Cited by 44
Neighborhood collective efficacy and collective action: The role of civic engagement
Carbone, J. T., & McMillin, S. E. (2018) · Journal of Community Psychology · doi:10.1002/jcop.22122 · Cited by 36
Gergle, D., & Tan, D. S. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0378-8_9 · Cited by 41
Crocetti, E., Moscatelli, S., Kaniušonytė, G., Meeus, W., Žukauskienė, R., & Rubini, M. (2019) · Journal of Youth and Adolescence · doi:10.1007/s10964-019-00996-2 · Cited by 38
Not all Online Sexual Activities Are the Same
Barrada, J. R., Ruiz-Gómez, P., Correa, A. B., & Castro, Á. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00339 · Cited by 36
An, B. P. (2015) · The Journal of Higher Education · doi:10.1080/00221546.2015.11777358 · Cited by 35
Emotional change process in resolving self-criticism during experiential treatment of depression
Choi, B. H. Y., Pos, A. E., & Magnússon, M. S. (2015) · Psychotherapy Research · doi:10.1080/10503307.2015.1041433 · Cited by 35
Foster Care Reentry: A survival analysis assessing differences across permanency type
Goering, E. S., & Shaw, T. V. (2017) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2017.03.005 · Cited by 35
A model for female South African investors’ financial risk tolerance
Lawrenson, J., & Dickason–Koekemoer, Z. (2020) · Cogent Economics & Finance · doi:10.1080/23322039.2020.1794493 · Cited by 34
“As the chi-square test is seen as an excessively strict indicator of model fit, Hancock and Mueller (2010) proposed small deviations from the model.”
MethodShaping the Development of Prejudice
Bratt, C., Sidanius, J., & Sheehy-Skeffington, J. A. (2016) · Personality and Social Psychology Bulletin · doi:10.1177/0146167216666267 · Cited by 36
“Although a non-significant chi-square is preferable, we followed common recommendations for the use of SEM models (Mueller & Hancock, 2010) and accepted models with approximate fit, if these had better fit than alternative models.”
MethodValidation of a Japanese Version of the Work Engagement Scale for Students
Tayama, J., Schaufeli, W. B., Shimazu, A., Tanaka, M., & Takahama, A. (2018) · Japanese Psychological Research · doi:10.1111/jpr.12229 · Cited by 34
Zhou, Z. E., Liew, J., Yeh, Y.-C., & Pérez, M. (2019) · The Journal of Genetic Psychology · doi:10.1080/00221325.2019.1682506 · Cited by 33
“The full information maximum likelihood (FIML, Arbuckle, 1996) estimation was used to handle missing data (Hancock & Mueller, 2010).”
MethodEffect of social media on academic engagement and performance: Perspective of graduate students
Mahdiuon, R., Salimi, G., & Raeisy, L. (2019) · Education and Information Technologies · doi:10.1007/s10639-019-10032-2 · Cited by 46
Condom, M. F. I., Fernández, A., Rebolledo, P. A. L., Quesada‐Pallarès, C., & Sabaté, S. (2013) · Journal for the Study of Education and Development Infancia y Aprendizaje · doi:10.1174/021037013807533034 · Cited by 34
Lee, W.-C., Chiu, Y., Liang, J., & Tsai, C. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.069 · Cited by 33
Renshaw, T. L., & Bolognino, S. J. (2016) · Assessment for Effective Intervention · doi:10.1177/1534508416678970 · Cited by 37
“In the second phase of analyses, confirmatory factor analysis (CFA) was conducted with Subsample 2, again following the recommendations of Bandalos and Finney (2010), to replicate the latent structure identified via EFA.”
MethodAdolescents’ epistemic profiles in the service of knowledge revision
Trevors, G., Kendeou, P., Bråten, I., & Braasch, J. L. G. (2017) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2017.01.005 · Cited by 34
Lee, E. H., Luo, C., Sam, Y. L., Roberts, A. C., Kwok, K. W., Car, J., Soh, C. K., & Christopoulos, G. I. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.02.017 · Cited by 33
Sinharoy, S. S., Waid, J. L., Ali, M., Yount, K. M., Thilsted, S. H., & Girard, A. W. (2019) · Global Food Security · doi:10.1016/j.gfs.2019.03.001 · Cited by 34
Bergmann, H. (2015) · The Journal of Technology Transfer · doi:10.1007/s10961-015-9458-z · Cited by 36
Zhao, C., Ding, H., Du, M., Yu, Y., Chen, J. H., Wu, A. M. S., Wang, D. B., Du, M., Chen, Y., Luo, Q., et al. (2024) · Journal of Youth and Adolescence · doi:10.1007/s10964-024-01974-z · Cited by 36
Inglis, M., & Aberdein, A. (2016) · Trends in the history of science · doi:10.1007/978-3-319-28582-5_10 · Cited by 32
Strukturwandel des Übergangs in eine berufliche Ausbildung
Kleinert, C., & Jacob, M. (2012) · Kölner Zeitschrift für Soziologie und Sozialpsychologie. Sonderheft · doi:10.1007/978-3-658-00120-9_9 · Cited by 32
Resident Fathers' Positive Engagement, Family Poverty, and Change in Child Behavior Problems
Lee, J., & Schoppe‐Sullivan, S. J. (2017) · Family Relations · doi:10.1111/fare.12283 · Cited by 32
Towards a multi-dimensional concept of vegetable freshness from the consumer’s perspective
Saba, A., Moneta, E., Peparaio, M., Sinesio, F., Vassallo, M., & Paoletti, F. (2017) · Food Quality and Preference · doi:10.1016/j.foodqual.2017.12.008 · Cited by 32
End-of-life care practices of critical care nurses: A national cross-sectional survey
Ranse, K., Yates, P. M., & Coyer, F. M. (2015) · Australian Critical Care · doi:10.1016/j.aucc.2015.07.001 · Cited by 32
Evaluating Companies' Impression Management Tactics in Mandatory Sustainability Reporting
Iazzi, A., Papa, A., Palladino, R., et al. (2025) · Business Strategy and the Environment · doi:10.1002/bse.4326 · Cited by 31
Social Relationships, Gender, and Recovery From Mobility Limitation Among Older Americans
Latham-Mintus, K., Clarke, P. J., & Pavela, G. (2015) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbu181 · Cited by 32
Evaluation of Training Transfer Factors: The FET Model
Pineda-Herrero, P., Quesada-Pallarès, C., & Ciraso-Calí, A. (2014) · Springer eBooks · doi:10.1007/978-3-319-02093-8_8 · Cited by 33
Lubke, G. H., Stephens, S. H., Lessem, J. M., Hewitt, J. K., & Ehringer, M. A. (2012) · Behavior Genetics · doi:10.1007/s10519-012-9529-y · Cited by 31
Su, Y., Carpenter, J. K., Zandberg, L. J., Simpson, H. B., & Foa, E. B. (2016) · Behavior Therapy · doi:10.1016/j.beth.2016.03.003 · Cited by 34
Su, Y. (2018) · European Journal of Psychotraumatology · doi:10.1080/20008198.2018.1512263 · Cited by 33
“Squared semipartial correlation coefficients (sr2) were used to represent the effect size for each regression predictor (Kelley & Maxwell, 2010).”
MethodA two-dimensional conceptual framework for understanding mental well-being
Joshanloo, M., & Weijers, D. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214045 · Cited by 34
Lovell, R. E., Huang, W., Overman, L., et al. (2020) · Criminal Justice and Behavior · doi:10.1177/0093854819896385 · Cited by 31
“We use descriptive statistics to explore the offenders’ criminal histories and LCA (Collins & Lanza, 2010; Samuelsen & Dayton, 2010) to identify unobserved typologies (“classes”) based on categorical data not specified a priori.”
MethodAppiah, R., Fadiji, A. W., Schutte, L., & Wissing, M. P. (2020) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12212 · Cited by 31
Emotional Well-being During the First Four Months of COVID-19 in the United States
Ebert, A. R., Bernstein, L., Carney, A. K., & Patrick, J. H. (2020) · Journal of Adult Development · doi:10.1007/s10804-020-09365-x · Cited by 32
“LGC are robust in the presence of missing data and unequal time intervals (Preacher 2010).”
BackgroundExamining Barriers to Sustained Implementation of School-Wide Prevention Practices
Turri, M. G., Mercer, S. H., McIntosh, K., Nese, R. N. T., Strickland-Cohen, M. K., & Hoselton, R. M. (2016) · Assessment for Effective Intervention · doi:10.1177/1534508416634624 · Cited by 31
“In all analyses, model fit was evaluated based on conventional criteria (Mueller & Hancock, 2010): comparative fit index (CFI) ≥ .95 and root mean square error of approximation (RMSEA) and its 90% confidence interval 0.05.”
MethodInfluentialThe Influence of Travel Motives on Visitor Happiness Attending a Wedding Expo
Krüger, S., Saayman, M., & Ellis, S. M. (2014) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2014.883955 · Cited by 30
Latunde, Y. C. (2016) · Palgrave Macmillan US eBooks · doi:10.1057/978-1-137-59146-3_5 · Cited by 30
Factor Analysis and Latent Structure Analysis: Confirmatory Factor Analysis
Mueller, R. O., & Hancock, G. R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.25009-5 · Cited by 30
Self-citationMaurissen, J. P. J., & Vidmar, T. J. (2016) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2016.10.003 · Cited by 30
A latent growth model of destination image's halo effect
Lee, R., Lockshin, L., Cohen, E., & Corsi, A. M. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2019.102767 · Cited by 29
Cai, Y., & Kunnan, A. J. (2019) · Journal of English for Academic Purposes · doi:10.1016/j.jeap.2019.100795 · Cited by 31
Ma, L. (2020) · International Journal of Business Communication · doi:10.1177/2329488419898222 · Cited by 29
Siebert, F., Klem, J. L. R., & van Coller, H. (2020) · African Journal of Range and Forage Science · doi:10.2989/10220119.2020.1726464 · Cited by 29
Su, Y., & Chow, C.-C. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.025 · Cited by 32
Busch, C. A., Wiesenthal, N. J., Mohammed, T. F., Anderson, S., Barstow, M., Custalow, C., Gajewski, J., Garcia, K., Gilabert, C. K., Hughes, J., et al. (2023) · CBE—Life Sciences Education · doi:10.1187/cbe.22-10-0195 · Cited by 37
“To evaluate the internal consistency of the modified FBNE scale, we calculated McDonald’s omega total, an alternative reliability measure to Cronbach’s alpha that does not assume equivalence of factor loadings in the model (Hancock et al. , 2010).”
InfluentialVideo Deficit in Toddlers’ Object Retrieval: What Eye Movements Reveal About Online Cognition
Kirkorian, H. L., Lavigne, H. J., Hanson, K. G., Troseth, G. L., Demers, L., & Anderson, D. R. (2015) · Infancy · doi:10.1111/infa.12102 · Cited by 29
Delea, M. G., Sclar, G. D., Woreta, M., Haardörfer, R., Nagel, C., Caruso, B. A., Dreibelbis, R., Gobezayehu, A. G., Clasen, T., & Freeman, M. C. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15102139 · Cited by 32
“Other measurement models that fit the data and represent the conceptualisation of CE as well or better than our refined gender-specific and final parsimonious CE measurement models may exist [6].”
BackgroundMethodZhao, C., Ding, N., Yang, X., Xu, H., Lai, X., Tu, X., Lv, Y., Xu, D., & Zhang, G. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.752210 · Cited by 28
Classroom Simulation to Prepare Teachers to Use Evidence-Based Comprehension Practices
Ely, E., Alves, K. D., Dolenc, N. R., et al. (2018) · Journal of Digital Learning in Teacher Education · doi:10.1080/21532974.2017.1399487 · Cited by 28
“Interobserver agreement (IOA) was obtained to indicate reliable analysis of video observations (Egel & Barthold, 2010).”
MethodExamining Latinas’ STEM Career Decision-Making Process: A Psychosociocultural Approach
Castellanos, M. (2018) · The Journal of Higher Education · doi:10.1080/00221546.2018.1435133 · Cited by 28
“When not adequately addressed, violations of normality may result in underestimation of standard errors, inflation of chi-squared values, and biased fit indices (Bandalos & Finney, 2010).”
BackgroundThe limits of relational governance: Sales force strategies in the U.S. medical device industry
Chatterji, A., Cunningham, C. M., & Joseph, J. (2018) · Strategic Management Journal · doi:10.1002/smj.2964 · Cited by 27
“In our case, discrete EHA is preferable to continuous-time methods because we do not know the precise timing of sales integration within each year, and because we have numerous simultaneous events or ties (i.e., more than one event in each year) (Allison, 2010; Franco et al., 2009).”
MethodMichel, J. O. (2020) · Innovative Higher Education · doi:10.1007/s10755-020-09509-7 · Cited by 30
Reynolds‐Tylus, T., Lukacena, K. M., & Truban, O. (2020) · Health Communication · doi:10.1080/10410236.2020.1794551 · Cited by 32
“Examination of factor loadings resulted in the removal of two3 overexposure items, due to standardized factor loadings falling below .60 (Bandalos & Finney, 2010).”
MethodFang, J., Brown, G., & Hamilton, R. J. (2022) · British Journal of Educational Psychology · doi:10.1111/bjep.12552 · Cited by 35
“In order to achieve simple structure (Revelle & Rocklin, 1979) where each item belongs to only one factor, further trimming was needed to remove items with weak loadings below .40, cross-loadings > .30, or strong modification indices (Bandalos & Finney, 2010; Costello & Osborne, 2005).”
BackgroundMethodInfluentialLambrinou, E., Kalogirou, F., Lamnisos, D., et al. (2014) · Heart & Lung · doi:10.1016/j.hrtlng.2014.07.001 · Cited by 28
A cluster analysis of climate change mitigation behaviours among SMTEs
Coles, T., Zschiegner, A., & Dinan, C. (2013) · Tourism Geographies · doi:10.1080/14616688.2013.851270 · Cited by 28
Men’s Coercive Control, Partner Violence Perpetration, and Life Satisfaction in Bangladesh
Yount, K. M., Miedema, S. S., Martin, C. C., Crandall, A., & Naved, R. T. (2016) · Sex Roles · doi:10.1007/s11199-016-0584-3 · Cited by 34
“To test the final EFA model for each latent construct, CFAwas conducted on the other random split-half sample (Bandalos and Finney 2010).”
MethodRedelinghuys, K., & Botha, E. (2016) · Journal of Psychology in Africa · doi:10.1080/14330237.2015.1101273 · Cited by 28
Litwin, A. S., & Eaton, A. E. (2017) · Human Resource Management · doi:10.1002/hrm.21835 · Cited by 31
Vrshek‐Schallhorn, S., Avery, B. M., Ditcheva, M., & Sapuram, V. R. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.11.002 · Cited by 34
Li, W., Zhang, L., Qin, Z., Chen, J., & Liu, C. (2022) · Journal of Intelligence · doi:10.3390/jintelligence10040097 · Cited by 31
Tambyraja, S. R., Schmitt, M. B., Farquharson, K., & Justice, L. M. (2016) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12269 · Cited by 28
Lucrezi, S., Saayman, M., & van der Merwe, P. (2013) · Environmental Management · doi:10.1007/s00267-013-0223-5 · Cited by 27
Kobrin, J. L., & Patterson, B. F. (2011) · Educational Assessment · doi:10.1080/10627197.2011.635956 · Cited by 27
Stability, change, and determinants of self-esteem during adolescence and emerging adulthood
Sánchez‐Queija, I., Delgado, A. O., & Jiménez, Á. P. (2016) · Journal of Social and Personal Relationships · doi:10.1177/0265407516674831 · Cited by 38
Xu, Z., & Jang, E. E. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.063 · Cited by 28
Reoffending among serious juvenile offenders: A developmental perspective
Ozkan, T. (2016) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2016.02.017 · Cited by 26
Wright, P. M., Richards, K. A. R., Jacobs, J. M., & Hemphill, M. A. (2019) · Journal of Teaching in Physical Education · doi:10.1123/jtpe.2018-0246 · Cited by 25
Social climate and help-seeking avoidance in secondary mathematics classes
Smalley, R. T., & Hopkins, S. (2020) · The Australian Educational Researcher · doi:10.1007/s13384-020-00383-y · Cited by 35
“The causal sequencing of factors in the conceptual model is consistent with previous help-seeking studies using SEM (Arbreton 1993; Bong 2008; Federici et al.”
MethodInfluentialOlamide, A., & Ogbechie, R. (2021) · Small Enterprise Research · doi:10.1080/13215906.2021.1901140 · Cited by 26
Decreasing Vitamin C Intake, Low Serum Vitamin C Level and Risk for US Adults with Diabetes
Sun, H., Karp, J. D., Sun, K. M., & Weaver, C. M. (2022) · Nutrients · doi:10.3390/nu14193902 · Cited by 26
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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