The DOI matches its Crossref record.
Bootstrapping
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“First, some data within this study was not normally distributed. Typically used parametric methods would have led to biased results. Non-parametric tests and bootstrap were used in the analyses to obtain robust results [53–55].”
From Impact of an acceptance facilitating intervention on psychotherapists' acceptance of blended therapy (2020) · cites this paper as [55]
Citations
Cited by
Sorted by citations
Items 801–894 of 894
Bootstrapping: Resampling Methodology
Friedman, L. W., & Friedman, H. H. (2013) · Springer eBooks · doi:10.1007/978-1-4419-1153-7_84 · Cited by 1
Crighton, D. G. (2021) · doi:10.1002/9781394260669.ch8 · Cited by 1
Bedrock: Building Multi-Agent Simulation Applications
Rockloff, M. (2000) · Physica-Verlag eBooks · doi:10.1007/978-3-642-51744-0_7
Hypothesis Testing Related to Differences Parametric Tests
Schmidt, M. J. (2010) · Wiley International Encyclopedia of Marketing · doi:10.1002/9781444316568.wiem02023
Panganiban, M. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2669984
Computing sets of expected utility maximizing distributions for common utility functions
Thistle, P. D., & Burnett, J. E. (2001) · Applied Financial Economics · doi:10.1080/096031001300138663
Pass the Globe: Teaching Bootstrapping Without Using a Computer
Beaujean, A. A., & Cooper-Twamley, S. (2010) · Teaching Statistics · doi:10.1111/j.1467-9639.2009.00405.x
Nugent, W. R., Hicks, D., & Smith, M. (2004) · Research on Social Work Practice · doi:10.1177/1049731503262132
Chiu, T., Fang-Pei, N., Chin-Yung, P., et al. (2014) · Studies on Ethno-Medicine · doi:10.1080/09735070.2014.11886473
Does the Gender Mix Among Employers Influence Who Gets Hired? A Labor Market ExperimentPreprint
Gaudeul, A., Okvitawanli, A., & Panganiban, M. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2619090
Opera goer or Scrabble player: what makes a good translator?
Nishio, N., & Sutcliffe, R. F. E. (2016) · Machine Translation · doi:10.1007/s10590-016-9189-4
Conrado, A. B. F., Moya, V. D. P., la Cruz, D. D., et al. (2017) · Springer eBooks · doi:10.1007/978-981-10-2717-8_26
Dynamics of knowledge-intensive production: An agency-structure framework
Ghosh, J. (2017) · Journal of Mathematical Sociology · doi:10.1080/0022250x.2017.1320996
Distributions and what to do when they are non‐normal
Taylor, A. (2018) · The Medical Journal of Australia · doi:10.5694/mja16.01255
Investigating the effects of therapist accuracy in cognitive behavioural therapy for depression
Antunes‐Alves, S., Vukovic, B., Milyavskaya, M., Kramer, U., Dobson, K. S., & Drapeau, M. (2018) · British Journal of Guidance and Counselling · doi:10.1080/03069885.2018.1453048
The TQM integration in procurement function performance
Bisalyaputra, K. (2018) · International Conference on Industrial Engineering and Applications (ICIEA) · doi:10.1109/iea.2018.8387128
Hopkins, M. E. (2018) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc1157586
A Multilevel Evolutionary Algorithm Applied to the Maximum Satisfiability Problems
Bouhmala, N., Øvergård, K. I., & Hjelmervik, K. (2018) · InTech eBooks · doi:10.5772/intechopen.72843
Scarano, G., & Guetto, R. (2019) · RIV Rassegna Italiana di Valutazione · doi:10.3280/riv2017-069002
Other Commonly Used Statistical Procedures
Cooksey, R. (2020) · Springer eBooks · doi:10.1007/978-981-15-2537-7_8
9. Lønner det seg å bruke «balansert målstyring»(BMS)?
Engeskar, A., Helgesen, Ø., & Wennersberg, C. (2020) · doi:10.18261/9788215037394-2020-09
Bonan, J., LeMay‐Boucher, P., & Scott, D. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2881222
Malik, M., & Siddiqui, D. A. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3757536
COVID-19 Infection risk posed by drinking alcohol at restaurants or bars in JapanPreprint
Kurita, J., Sugawara, T., & Ohkusa, Y. (2021) · medRxiv · doi:10.1101/2021.07.29.21261358
Bonan, J., LeMay‐Boucher, P., & Tenikuu, M. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2926933
BOOTSTRAPPING: RESAMPLING METHODOLOGY
Friedman, L. W., & Friedman, H. H. (2001) · Springer eBooks · doi:10.1007/1-4020-0611-x_84
Fan, X. (2007) · The Blackwell Encyclopedia of Sociology · doi:10.1002/9781405165518.wbeosm089
Meyer, G.-M., & Collmer, S. (1997) · Deutscher Universitätsverlag eBooks · doi:10.1007/978-3-663-09160-8_5
Weighted χ2 tests for multiple group comparisons in observational studies
Yan, X., Zheng, Q., & Kong, M. (2022) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2022.2044481
Inference on Inequality Measures: A Monte Carlo Experiment
Kerm, P. V. (2002) · Springer eBooks · doi:10.1007/978-3-7091-6166-1_11
(2003) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420036268.ch12
Roff, D. A. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511616785.005
Investments in Agricultural Innovation and Food Security in Sub-Saharan AfricaPreprint
Malec, K., Rojík, S., Maitah, M., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2838012/v1
Rahman, L. (2023) · Studies in big data · doi:10.1007/978-3-031-29937-7_4
Investments in Agricultural Innovation and Food Security in Sub-Saharan AfricaPreprint
Malec, K., Rojík, S., Maitah, M., et al. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4514592
Prejato, M. L., & McKee, D. (2023) · Earth and Space Science · doi:10.1029/2022ea002815
Zamanillo‐Campos, R., Fiol-deRoque, M. A., Serrano-Ripoll, M. J., Llobera, J., Taltavull-Aparicio, J. M., Leiva, A., Ripoll, J., Angullo-Martínez, E., Socias, I. M., Masmiquel, L., et al. (2024) · medRxiv · doi:10.1101/2024.02.28.24303489
The Evolving Landscape of Choices for Navigating the ‘Data Triangle’
Cooksey, R. (2024) · Springer eBooks · doi:10.1007/978-981-97-3462-7_2 · Cited by 2
Aberrant neural computation of social controllability in nicotine-dependent humans
McLaughlin, C., Fu, Q. X., Na, S., Heflin, M., Chung, D., Fiore, V. G., & Gu, X. (2024) · Communications Biology · doi:10.1038/s42003-024-06638-z · Cited by 2
Cost-effectiveness Analysis Alongside Clinical Trials
Saito, T., Imano, N., Taketomi, N., & Murotani, K. (2024) · Japanese Journal of Biometrics · doi:10.5691/jjb.45.155
Özdemir, B. N., & Lim, S. F. W. T. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5045445
Clustering Based Flood Area Segmentation Benchmarking in Different Colour Spaces
Garea, S. A., Das, S., & Callaway, M. (2024) · IEEE International Conference on Future Machine Learning and Data Science (FMLDS) · doi:10.1109/fmlds63805.2024.00067
Bae, S., Chardon, M. K., Roth, E. J., Rymer, W. Z., & Suresh, N. L. (2025) · Frontiers in Stroke · doi:10.3389/fstro.2025.1534600
Bakhshaie, J., Storch, E. A., Clasuen, B. K., & Zvolensky, M. J. (2025) · Emerging Adulthood · doi:10.1177/21676968251342835
Bozkurt, M. A., Türen, U., & Aminulai, O. I. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5264259 · Cited by 1
Worsening asthma at school is associated with poor psychosocial well-being
Finell, E., Tolvanen, A. J., Stridsman, C., Bäckman, H., & Hedman, L. (2025) · European Clinical Respiratory Journal · doi:10.1080/20018525.2025.2509395
Keskin, A., & Önder, F. C. (2025) · Manisa Celal Bayar Üniversitesi Eğitim Fakültesi Dergisi · doi:10.52826/mcbuefd.1534271
How strong are international standards in practice? Evidence from cryptocurrency transactions
Nershi, K. (2025) · Political Science Research and Methods · doi:10.1017/psrm.2025.10027
Ling, C., Lu, P., Shen, H., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5348647
Deep learning in Myocarditis: A novel approach to severity assessment
Nishimori, M., Otani, T., Asaumi, Y., Ohta‐Ogo, K., Ikeda, Y., Amemiya, K., Noguchi, T., Izumi, C., Shinohara, M., Hatakeyama, K., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0354714
Ling, C., Lu, P., Shen, H., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5382296
Osherow, E. K., Gnall, K. E., & Park, C. L. (2025) · Psychology and Health · doi:10.1080/08870446.2025.2560363
Exploring Metric Fusion for Evaluation of NeRFs
Shivakumara, S., Eilertsen, G., & Palmerius, K. L. (2025) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex65720.2025.11219896
A Probabilistic Construct Elicitation Model and Its Implications for Grid Statistics
Heckmann, M. (2025) · Journal of Constructivist Psychology · doi:10.1080/10720537.2025.2582487
Goormans, I., BLOKLAND, A. A. J., Steenbeek, W., & Vandeviver, C. (2025) · Victims & Offenders · doi:10.1080/15564886.2025.2581029
Empirical equations for estimating the size at sexual maturity in shrimps, lobsters, and crabs
Muñoz-Suárez, K., & Zambrano, R. (2025) · Invertebrate Reproduction & Development · doi:10.1080/07924259.2025.2586272
The Covariation of Emotion and Passage of Time Judgments: Insights from Weibo
Liu, Y., Li, J., Han, P., Du, F., Ma, S., Zhang, M., & Zheng, M. (2025) · Journal of Pacific Rim Psychology · doi:10.1177/18344909251390027
Edelmann, A., Merhout, F., & Bostic, A. (2025) · Socius Sociological Research for a Dynamic World · doi:10.1177/23780231251400402
Antón‐Solanas, I., Callén-Galindo, M., Urcola‐Pardo, F., López‐Dicastillo, O., Mujika, A., Hernantes, N., Ruiz, E. B., Zabaleta‐del‐Olmo, E., Juvinyà-Canal, D., & Pumar‐Méndez, M. J. (2025) · BMC Public Health · doi:10.1186/s12889-025-25925-w
Zhu, N., Wiredu, R., Nagriwum, T. M., et al. (2026) · Review of Development Economics · doi:10.1111/rode.70133
Strauss, M., Osman, M., Meehan, S., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0342708
Jiang, Q., Qian, Y., Feng, T., Du, M., Zhang, H., Zhang, E., Dill, S., Ma, Y., & Rozelle, S. (2026) · Scientific Reports · doi:10.1038/s41598-026-39674-2
Pomante, S., Censo, D. D., Caporale, A. S., Fasano, F., Zacà, D., Fear, E. J., Graziano, F., Carriero, M., Chalet, L., Biondetti, E., et al. (2026) · Magnetic Resonance in Medicine · doi:10.1002/mrm.70305 · Cited by 1
Alif, F. K. (2026) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-026-00378-9
Klaus, P., Manthiou, A., Luong, V. H., & Tarquini-Poli, A. (2026) · International Journal of Tourism Research · doi:10.1002/jtr.70223
Yee, H. F., Fraser, M. I., Ciarrochi, J., Sahdra, B. K., Yap, K., Hayes, S. C., Hernández, C., & Gloster, A. T. (2026) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2026.100993
Milford, S. C., Murcia, K., Mennell, S., Wilson, S., & Cross, E. (2026) · Media International Australia · doi:10.1177/1329878x261421631
Clerc‐Urmès, I. (2011) · theses.fr (ABES) · doi:10.70675/cb82ab7dz9af3z4a88za405zbce830b09b6d
Lee, W., & Mao, R. (2026) · Crime & Delinquency · doi:10.1177/00111287261447196
Jantarakantee, E., & Pongsophon, P. (2026) · Canadian Journal of Science Mathematics and Technology Education · doi:10.1007/s42330-026-00489-y
Sustainable Development of Rural and Remote Areas: A Case Study from Saudi Arabia
Alabdali, S. A., Pileggi, S. F., & Çetindamar, D. (2026) · Proceedings in Technology Transfer · doi:10.1007/978-981-95-7607-4_34
The application of machine learning techniques to data from solid-state nuclear track detector CR-39
Vrban, B., Vrtalová, V., Knežević, D., et al. (2026) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-026-02349-0
Zabun, F. (2026) · Foreign Policy Analysis · doi:10.1093/fpa/orag011
A Primer on Research Validity for Conducting Quantitative Studies of the Model Minority Stereotype
Morgan, G. B., & Hodge, K. J. (2015) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-68123-112-920251021
da Silva, E. A., Crisp, A. H., Fernandes, P. T., Penna, E. M., & Pires, D. A. (2026) · Scandinavian Journal of Psychology · doi:10.1111/sjop.70125
Simulation-based modeling of rainfall data: addressing zeros and extremes
Alif, F. K. (2026) · Theoretical and Applied Climatology · doi:10.1007/s00704-026-06397-3
How Institutions Shape the Effects of Agricultural Cooperatives on Their Members
Cornée, S., Guernic, M. L., & Rousselière, D. (2026) · Kyklos · doi:10.1111/kykl.70074
When words paint the picture: accurate eyewitness IDs without visual imagery
Kleider‐Offutt, H. M., & Meacham, A. M. (2026) · Psychology Crime and Law · doi:10.1080/1068316x.2026.2700782
High‐Dimensional Cumulative Sum Control Charts for Industrial Measurement Systems
Alhadi, O., Mahmood, T. A., Riaz, M., et al. (2026) · Quality and Reliability Engineering International · doi:10.1002/qre.70333
Wang, H.-Y., Wu, Y.-P., Duan, Y.-H., Li, L., Sun, L.-B., Tao, X.-T., Zhang, N., Zhao, X.-W., Liu, J.-J., Guan, Z.-L., et al. (2026) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-026-08086-9
The Development of an Instrument to Measure Burnout Among Counselors-in-Training
Floyd, J. M., & Merlin‐Knoblich, C. (2026) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2026.2700722
Employment Type and Its Relationship with the Distribution of U.S. Family’s Full-Income
El‐Osta, H. S. (2026) · Theoretical Economics Letters · doi:10.4236/tel.2026.164042
van der Meulen, R. T., van Steensel, F. J. A., de Bruin, E. I., Korf, W., & Bögels, S. M. (2026) · Journal of Attention Disorders · doi:10.1177/10870547261469623
Wang, J., Yang, H., Xie, K., et al. (2026) · Accident Analysis & Prevention · doi:10.1016/j.aap.2026.108735
Rodríguez-Araya, T. L., Gomes, T. M., Gassol, A. A., et al. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1872504
Chu, T., Lv, C., & Wang, W. (2026) · SAGE Open · doi:10.1177/21582440261490066
Few Shot Learning for Flame State Monitoring From Limited Visible and Infrared Images
Kang, R., Kyritsis, D. C., & Liatsis, P. (2026) · Expert Systems · doi:10.1111/exsy.70408
Unexpected Bedfellows: The GATT, the WTO and Some Democratic Rights1
Aaronson, S. A., & Abouharb, M. R. (2011) · International Studies Quarterly · doi:10.1111/j.1468-2478.2011.00646.x
Social Preferences Under Risk: Ex-Post Fairness vs. EfficiencyPreprint
Gaudeul, A. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2627664
Collins, A. G. (2000) · doi:10.1666/0094-8373(2000)026
Metadata
- Authors
- Mooney, C., & Duval, R.
- ORCID
- Mooney, Christopher
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 1993
- OpenAlex
- W4252542285
- Cited by
- 893
- References
- 0
- Citations by year
- 2026: 33 · 2025: 53 · 2024: 39 · 2023: 31 · 2022: 44 · 2021: 33 · 2020: 48 · 2019: 33 · 2018: 33 · 2017: 47 · 2016: 36 · 2015: 53 · 2014: 24 · 2013: 34 · 2012: 42
- FWCI
- 2.47
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Sage eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Keywords
- bootstrapping
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 ›
Are you an author, or do you see a problem with this page? Request a review