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Exploring Rubric-Related Multidimensionality in Polytomously Scored Test Items

Daniel M. Bolt, Daniel J. Adams

Appl Psychol Meas. 2017 May; 41(3): 163–177. Published online 2016 Nov 24. doi: 10.1177/0146621616677715

PMCID:: PMC5978550

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Bayesian Dimensionality Assessment for the Multidimensional Nominal Response Model

Javier Revuelta, Carmen Ximénez

Front Psychol. 2017; 8: 961. Published online 2017 Jun 16. doi: 10.3389/fpsyg.2017.00961

PMCID:: PMC5472841

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Dimensional variability characterization of additively manufactured lattice coupons

Kirstie Lane Snodderly, Magdalene Fogarasi, Yutika Badhe, Ankit Parikh, Daniel Porter, Albert Burchi, Laura Gilmour, Matthew Di Prima

3D Print Med. 2022 Dec; 8: 14. Published online 2022 May 7. doi: 10.1186/s41205-022-00141-z

PMCID:: PMC9077930

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Confidence‐driven weighted retraining for predicting safety‐critical failures in autonomous driving systems

Andrea Stocco, Paolo Tonella

J Softw (Malden) 2022 Oct; 34(10): e2386. Published online 2021 Oct 5. doi: 10.1002/smr.2386

PMCID:: PMC9786604

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Fisher’s hypothesis in time–frequency space: a premier using South Africa as a case study

Andrew Phiri

Qual Quant. 2022 Oct 28 : 1–30. doi: 10.1007/s11135-022-01561-z [Epub ahead of print]

PMCID:: PMC9614770

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Mechanical Properties, Fractal Dimension, and Texture Analysis of Selected 3D-Printed Resins Used in Dentistry That Underwent the Compression Test

Anna Paradowska-Stolarz, Mieszko Wieckiewicz, Marcin Kozakiewicz, Kamil Jurczyszyn

Polymers (Basel) 2023 Apr; 15(7): 1772. Published online 2023 Apr 2. doi: 10.3390/polym15071772

PMCID:: PMC10098904

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Robustness of $equation jats-math-2$ ‐type coefficients for clinical agreement

Amalia Vanacore, Maria Sole Pellegrino

Stat Med. 2022 May 20; 41(11): 1986–2004. Published online 2022 Feb 6. doi: 10.1002/sim.9341

PMCID:: PMC9303799

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Online Inner Approximation of Reachable Sets of Nonlinear Systems with Diminished Control Authority

Hamza El-Kebir, Melkior Ornik

Proc SIAM Conf Control Appl. Author manuscript; available in PMC 2022 Jan 21.

Published in final edited form as: Proc SIAM Conf Control Appl. 2021; 2021: 9–16. doi: 10.1137/1.9781611976847.2

PMCID:: PMC8780881

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Estimation of Response Styles Using the Multidimensional Nominal Response Model: A Tutorial and Comparison With Sum Scores

Carl F. Falk, Unhee Ju

Front Psychol. 2020; 11: 72. Published online 2020 Feb 6. doi: 10.3389/fpsyg.2020.00072

PMCID:: PMC7017717

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High Cycle Fatigue Performance of LPBF 304L Stainless Steel at Nominal and Optimized Parameters

Mohammad Masud Parvez, Tan Pan, Yitao Chen, Sreekar Karnati, Joseph W. Newkirk, Frank Liou

Materials (Basel) 2020 Apr; 13(7): 1591. Published online 2020 Mar 31. doi: 10.3390/ma13071591

PMCID:: PMC7177987

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Manufacturing Elements with Small Cross-Sections of 17-4 PH Steel (1.4542) with the Application of the DMLS Additive Manufacturing Method

Grzegorz Budzik, Łukasz Przeszłowski, Tomasz Dziubek, Małgorzata Gontarz, Mariusz Dębski, Emil Smyk

Materials (Basel) 2021 Jun; 14(12): 3256. Published online 2021 Jun 12. doi: 10.3390/ma14123256

PMCID:: PMC8231573

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Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach

Saptarshi Bej, Jit Sarkar, Saikat Biswas, Pabitra Mitra, Partha Chakrabarti, Olaf Wolkenhauer

Nutr Diabetes. 2022; 12: 27. Published online 2022 May 27. doi: 10.1038/s41387-022-00206-2

PMCID:: PMC9142500

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Response Category Functioning on the Healthcare Engagement Measure Using the Nominal Response Model

Steven P. Reise, Anne S. Hubbard, Emily F. Wong, Benjamin D. Schalet, Mark G. Haviland, Rachel Kimerling

Assessment. Author manuscript; available in PMC 2023 Jun 13.

Published in final edited form as: Assessment. 2023 Mar; 30(2): 375–389. Published online 2021 Oct 27. doi: 10.1177/10731911211052682

PMCID:: PMC10262955

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A design criterion for symmetric model discrimination based on flexible nominal sets

Radoslav Harman, Werner G. Müller

Biom J. 2020 Jul; 62(4): 1090–1104. Published online 2020 Jan 20. doi: 10.1002/bimj.201900074

PMCID:: PMC9328432

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Dimension reduction and estimation in the secondary analysis of case-control studies

Liang Liang, Raymond Carroll, Yanyuan Ma

Electron J Stat. Author manuscript; available in PMC 2018 Aug 10.

Published in final edited form as: Electron J Stat. 2018; 12(1): 1782–1821. Published online 2018 Jun 12. doi: 10.1214/18-EJS1446

PMCID:: PMC6086603

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Assessment of Landslide Susceptibility Using Integrated Ensemble Fractal Dimension with Kernel Logistic Regression Model

Tingyu Zhang, Ling Han, Jichang Han, Xian Li, Heng Zhang, Hao Wang

Entropy (Basel) 2019 Feb; 21(2): 218. Published online 2019 Feb 24. doi: 10.3390/e21020218

PMCID:: PMC7514699

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Remote Learning in Higher Education: Evidence from Poland

Józef Ober, Anna Kochmańska

Int J Environ Res Public Health. 2022 Nov; 19(21): 14479. Published online 2022 Nov 4. doi: 10.3390/ijerph192114479

PMCID:: PMC9655106

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Generalized Full-Information Item Bifactor Analysis

Li Cai, Ji Seung Yang, Mark Hansen

Psychol Methods. Author manuscript; available in PMC 2012 Sep 1.

Published in final edited form as: Psychol Methods. 2011 Sep; 16(3): 221–248. doi: 10.1037/a0023350

PMCID:: PMC3150629

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Physicochemical characterization and genotoxicity of the broad class of carbon nanotubes and nanofibers used or produced in U.S. facilities

Kelly Fraser, Vamsi Kodali, Naveena Yanamala, M. Eileen Birch, Lorenzo Cena, Gary Casuccio, Kristin Bunker, Traci L. Lersch, Douglas E. Evans, Aleksandr Stefaniak, Mary Ann Hammer, Michael L. Kashon, Theresa Boots, Tracy Eye, John Hubczak, Sherri A. Friend, Matthew Dahm, Mary K. Schubauer-Berigan, Katelyn Siegrist, David Lowry, Alison K. Bauer, Linda M. Sargent, Aaron Erdely

Part Fibre Toxicol. 2020; 17: 62. Published online 2020 Dec 7. doi: 10.1186/s12989-020-00392-w

PMCID:: PMC7720492

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Dimensional Accuracy and Surface Quality of AZ91D Magnesium Alloy Components after Precision Milling

Jarosław Korpysa, Józef Kuczmaszewski, Ireneusz Zagórski

Materials (Basel) 2021 Nov; 14(21): 6446. Published online 2021 Oct 27. doi: 10.3390/ma14216446

PMCID:: PMC8585321

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PMC Images search for nominal dimension

Figure 1

A schematic figure showing samples of trigram stimuli. We varied letter size (shown along the horizontal dimension in the figure) to assess the letter size threshold for a given nominal letter spacing (shown along the vertical dimension in the figure). Because the nominal letter spacing is specified in multiples of letter size (x-height), the absolute spacing between the letters change as letter size varies. In a given block of trials, only one nominal letter spacing was tested but letters were presented at five letter sizes.

Size or spacing: Which limits letter recognition in people with age-related macular degeneration?

Vision Res. ;101:167-176.
Figure 1

rCFs images after the shredding process and manual sieving: (a) rCFs sizing and shredding with the cutting mill; (b) rCFs fraction after the quad blade chopper shredding and sieving with a dimension higher than 300 µm; (c) rCF fraction with a dimension higher than 100 µm; (d) rCFs fraction with a nominal dimension of 100 µm.

UV-Assisted 3D Printing of Polymer Composites from Thermally and Mechanically Recycled Carbon Fibers

Polymers (Basel). 2021 Mar;13(5):726.
Figure 5

Definition of the offset from the nominal FS and CS teeth shape: (a) r_FS influencing the dimension over pin; (b) r_CS influencing the dimension between pin.

Global Sensitivity Analysis of Chosen Harmonic Drive Parameters Affecting Its Lost Motion

Materials (Basel). 2021 Sep;14(17):5057.
Figure 3

Build jobs for the evaluation of the material density. (a) Job A: production of three cubes with nominal dimension 10 × 10 × 10 mm³ and 0.050 mm layer thickness (set FD); (b) Job 2: production of five cubes with nominal dimension 10 × 10 × 10 mm³ and 0.125 mm layer thickness (set TC1) and five cubes with nominal dimension 20 × 20 × 20 mm³ and 0.125 mm layer thickness (set TC2); Scaled section and infill strategy for the samples of sets FD (c), TC1 (d) and TC2 (e).

Analysis of Density, Roughness, and Accuracy of the Atomic Diffusion Additive Manufacturing (ADAM) Process for Metal Parts

Materials (Basel). 2019 Dec;12(24):4122.