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Journal articles on the topic 'Nominal Response Model (NRM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Zu, Jiyun, and Patrick C. Kyllonen. "Nominal Response Model Is Useful for Scoring Multiple-Choice Situational Judgment Tests." Organizational Research Methods 23, no. 2 (2018): 342–66. http://dx.doi.org/10.1177/1094428118812669.

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We evaluated the use of the nominal response model (NRM) to score multiple-choice (also known as “select the best option”) situational judgment tests (SJTs). Using data from two large studies, we compared the reliability and correlations of NRM scores with those from various classical and item response theory (IRT) scoring methods. The SJTs measured emotional management (Study 1) and teamwork and collaboration (Study 2). In Study 1 the NRM scoring method was shown to be superior in reliability and in yielding higher correlations with external measures to three classical test theory–based and f

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2

García-Pérez, Miguel A. "Order-Constrained Estimation of Nominal Response Model Parameters to Assess the Empirical Order of Categories." Educational and Psychological Measurement 78, no. 5 (2017): 826–56. http://dx.doi.org/10.1177/0013164417714296.

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Bock’s nominal response model (NRM) is sometimes used to identify the empirical order of response categories in polytomous items but its application tags many items as having disordered categories. Disorderly estimated categories may not reflect a true characteristic of the items but, rather, a numerically best-fitting solution possibly equivalent to other solutions with orderly estimated categories. To investigate this possibility, an order-constrained variant of the NRM was developed that enforces the preassumed order of categories on parameter estimates, for a comparison of its outcomes wit

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Matlock, Ki Lynn, Ronna C. Turner, and W. Dent Gitchel. "A Study of Reverse-Worded Matched Item Pairs Using the Generalized Partial Credit and Nominal Response Models." Educational and Psychological Measurement 78, no. 1 (2016): 103–27. http://dx.doi.org/10.1177/0013164416670211.

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The generalized partial credit model (GPCM) is often used for polytomous data; however, the nominal response model (NRM) allows for the investigation of how adjacent categories may discriminate differently when items are positively or negatively worded. Ten items from three different self-reported scales were used (anxiety, depression, and perceived stress), and authors wrote an additional item worded in the opposite direction to pair with each original item. Sets of the original and reverse-worded items were administered, and responses were analyzed using the two models. The NRM fit significa

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Harel, Daphna, and Russell J. Steele. "An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model." Journal of Educational and Behavioral Statistics 43, no. 6 (2018): 721–50. http://dx.doi.org/10.3102/1076998618787478.

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Collapsing categories is a commonly used data reduction technique; however, to date there do not exist principled methods to determine whether collapsing categories is appropriate in practice. With ordinal responses under the partial credit model, when collapsing categories, the true model for the collapsed data is no longer a partial credit model, and therefore refitting a partial credit model may result in model misspecification. This article details the implementation and performance of an information matrix test (IMT) to assess the implications of collapsing categories for a given data set

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Jefmański, Bartłomiej, and Adam Sagan. "Item Response Theory Models for the Fuzzy TOPSIS in the Analysis of Survey Data." Symmetry 13, no. 2 (2021): 223. http://dx.doi.org/10.3390/sym13020223.

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The fuzzy TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) is an attractive tool for measuring complex phenomena based on uncertain data. The original version of the method assumes that the object assessments in terms of the adopted criteria are expressed as triangular fuzzy numbers. One of the crucial stages of the fuzzy TOPSIS is selecting the fuzzy conversion scale, which is used to evaluate objects in terms of the adopted criteria. The choice of a fuzzy conversion scale may influence the results of the fuzzy TOPSIS. There is no uniform approach in constructing

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Percival, Mary-Elizabeth M., Hai-Lin Wang, Mei-Jie Zhang, et al. "Impact of Depth of Pretransplant Clinical Response on Outcomes of Acute Myeloid Leukemia Patients in First Complete Remission (AML-CR1) Who Undergo Allogeneic Hematopoietic Cell Transplantation (AlloHCT)." Blood 134, Supplement_1 (2019): 4585. http://dx.doi.org/10.1182/blood-2019-123510.

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Introduction: AML patients with intermediate or high-risk features often undergo allogeneic hematopoietic cell transplantation (alloHCT) during first complete remission (CR). The 2017 European LeukemiaNet guidelines for AML specify categories of CR: both with and without count recovery (CR vs. CRi) and with and without measurable residual disease (MRD). Previous smaller retrospective studies have suggested poorer survival outcomes after alloHCT for patients with responses less than CR. Methods: Eligible cases were determined using the CIBMTR registry. Each had AML in CR1, was ≥ 18 years, and u

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7

Storme, Martin, Nils Myszkowski, Simon Baron, and David Bernard. "Same Test, Better Scores: Boosting the Reliability of Short Online Intelligence Recruitment Tests with Nested Logit Item Response Theory Models." Journal of Intelligence 7, no. 3 (2019): 17. http://dx.doi.org/10.3390/jintelligence7030017.

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Assessing job applicants’ general mental ability online poses psychometric challenges due to the necessity of having brief but accurate tests. Recent research (Myszkowski & Storme, 2018) suggests that recovering distractor information through Nested Logit Models (NLM; Suh & Bolt, 2010) increases the reliability of ability estimates in reasoning matrix-type tests. In the present research, we extended this result to a different context (online intelligence testing for recruitment) and in a larger sample ( N = 2949 job applicants). We found that the NLMs outperformed the Nominal Response

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8

Battauz, Michela. "Regularized Estimation of the Nominal Response Model." Multivariate Behavioral Research 55, no. 6 (2019): 811–24. http://dx.doi.org/10.1080/00273171.2019.1681252.

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9

Revuelta, Javier. "Multidimensional Item Response Model for Nominal Variables." Applied Psychological Measurement 38, no. 7 (2014): 549–62. http://dx.doi.org/10.1177/0146621614536272.

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10

Baker, Frank B. "Equating Tests Under The Nominal Response Model." Applied Psychological Measurement 17, no. 3 (1993): 239–51. http://dx.doi.org/10.1177/014662169301700305.

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11

Preston, Kathleen Suzanne Johnson, and Steven Paul Reise. "Estimating the Nominal Response Model Under Nonnormal Conditions." Educational and Psychological Measurement 74, no. 3 (2013): 377–99. http://dx.doi.org/10.1177/0013164413507063.

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12

De Ayala, R. J. "The Nominal Response Model in Computerized Adaptive Testing." Applied Psychological Measurement 16, no. 4 (1992): 327–43. http://dx.doi.org/10.1177/014662169201600403.

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13

De Ayala, R. J., and Monica Sava-Bolesta. "Item Parameter Recovery for the Nominal Response Model." Applied Psychological Measurement 23, no. 1 (1999): 3–19. http://dx.doi.org/10.1177/01466219922031130.

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14

Kim, Seonghoon. "Linking Ability Scales Under the Multidimensional Nominal Response Model." Korean Society for Educational Evaluation 33, no. 3 (2020): 655–79. http://dx.doi.org/10.31158/jeev.2020.33.3.655.

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15

Wollack, James A. "A Nominal Response Model Approach for Detecting Answer Copying." Applied Psychological Measurement 21, no. 4 (1997): 307–20. http://dx.doi.org/10.1177/01466216970214002.

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16

Leventhal, Brian C. "Extreme Response Style: A Simulation Study Comparison of Three Multidimensional Item Response Models." Applied Psychological Measurement 43, no. 4 (2018): 322–35. http://dx.doi.org/10.1177/0146621618789392.

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Several multidimensional item response models have been proposed for survey responses affected by response styles. Through simulation, this study compares three models designed to account for extreme response tendencies: the IRTree Model, the multidimensional nominal response model, and the modified generalized partial credit model. The modified generalized partial credit model results in the lowest item mean squared error (MSE) across simulation conditions of sample size (500, 1,000), survey length (10, 20), and number of response options (4, 6). The multidimensional nominal response model is

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Evans, Sarah, Katherine E. O. Todd-Brown, Kathryn Jacobson, and Peter Jacobson. "Non-rainfall Moisture: A Key Driver of Microbial Respiration from Standing Litter in Arid, Semiarid, and Mesic Grasslands." Ecosystems 23, no. 6 (2019): 1154–69. http://dx.doi.org/10.1007/s10021-019-00461-y.

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Abstract Models assume that rainfall is the major moisture source driving decomposition. Non-rainfall moisture (NRM: high humidity, dew, and fog) can also induce standing litter decomposition, but there have been few measurements of NRM-mediated decomposition across sites and no efforts to extrapolate the contribution of NRM to larger scales to assess whether this mechanism can improve model predictions. Here, we show that NRM is an important, year-round source of moisture in grassland sites with contrasting moisture regimes using field measurements and modeling. We first characterized NRM fre

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18

Kim, Seonghoon. "Reparameterization for Bock’s Nominal Response Model: Original Version Versus New Version." Korean Society for Educational Evaluation 32, no. 3 (2019): 397–420. http://dx.doi.org/10.31158/jeev.2019.32.3.397.

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19

DeMars, Christine E. "Sample Size and the Recovery of Nominal Response Model Item Parameters." Applied Psychological Measurement 27, no. 4 (2003): 275–88. http://dx.doi.org/10.1177/0146621603027004003.

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Passos, Valeria Lima, and Martijn P. F. Berger. "Maximin Calibration Designs for the Nominal Response Model: an Empirical Evaluation." Applied Psychological Measurement 28, no. 1 (2004): 72–87. http://dx.doi.org/10.1177/0146621603260676.

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21

Glas, Cees A. W. "Modification indices for the 2-PL and the nominal response model." Psychometrika 64, no. 3 (1999): 273–94. http://dx.doi.org/10.1007/bf02294296.

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22

Lima Passos, Valeria, Martijn P. F. Berger, and Frans E. Tan. "Test Design Optimization in CAT Early Stage with the Nominal Response Model." Applied Psychological Measurement 31, no. 3 (2007): 213–32. http://dx.doi.org/10.1177/0146621606291571.

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23

Iacoviello, Matteo. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle." American Economic Review 95, no. 3 (2005): 739–64. http://dx.doi.org/10.1257/0002828054201477.

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I develop and estimate a monetary business cycle model with nominal loans and collateral constraints tied to housing values. Demand shocks move housing and nominal prices in the same direction, and are amplified and propagated over time. The financial accelerator is not uniform: nominal debt dampens supply shocks, stabilizing the economy under interest rate control. Structural estimation supports two key model features: collateral effects dramatically improve the response of aggregate demand to housing price shocks; and nominal debt improves the sluggish response of output to inflation surpris

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24

van der Linden, Wim J., and Leonardo Sotaridona. "Detecting Answer Copying When the Regular Response Process Follows a Known Response Model." Journal of Educational and Behavioral Statistics 31, no. 3 (2006): 283–304. http://dx.doi.org/10.3102/10769986031003283.

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A statistical test for detecting answer copying on multiple-choice items is presented. The test is based on the exact null distribution of the number of random matches between two test takers under the assumption that the response process follows a known response model. The null distribution can easily be generalized to the family of distributions of the number of random matches under the alternative hypothesis of answer copying. It is shown how this information can be used to calculate such features as the maximum, minimum, and expected values of the power function of the test. For the case o

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25

Harris, Andrew C., James L. M. Ferrara, Joel K. Greenson, et al. "A Novel Grading System of Lower Gastrointestinal Acute Graft-Versus-Host Disease At Disease Onset Predicts Response to Therapy and Non-Relapse Mortality." Blood 118, no. 21 (2011): 153. http://dx.doi.org/10.1182/blood.v118.21.153.153.

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Abstract Abstract 153 We have recently described REG3α as a plasma biomarker of lower gastrointestinal (GI) graft-versus-host disease (GVHD), the target GVHD organ most associated with increased non-relapse mortality (NRM) following hematopoietic cell transplantation (HCT), that provides important diagnostic and prognostic information in 1014 HCT patients from 3 transplant centers (BBMT; 17: S163–164). Histologic and clinical severity of lower GI GVHD have not consistently correlated with transplant outcomes and thus there is no established system for risk stratification for patients at the on

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26

Azevedo, Caio L. N., and Dalton F. Andrade. "An estimation method for latent traits and population parameters in Nominal Response Model." Brazilian Journal of Probability and Statistics 24, no. 3 (2010): 415–33. http://dx.doi.org/10.1214/09-bjps102.

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27

Ju, Unhee, and Carl F. Falk. "Modeling Response Styles in Cross‐Country Self‐Reports: An Application of a Multilevel Multidimensional Nominal Response Model." Journal of Educational Measurement 56, no. 1 (2019): 169–91. http://dx.doi.org/10.1111/jedm.12205.

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28

Preston, Kathleen, Steven Reise, Li Cai, and Ron D. Hays. "Using the Nominal Response Model to Evaluate Response Category Discrimination in the PROMIS Emotional Distress Item Pools." Educational and Psychological Measurement 71, no. 3 (2011): 523–50. http://dx.doi.org/10.1177/0013164410382250.

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29

Chen, Bor-Sen, and Tsang-Yi Yang. "Robust Optimal Model Matching Control Design for Flexible Manipulators." Journal of Dynamic Systems, Measurement, and Control 115, no. 1 (1993): 173–78. http://dx.doi.org/10.1115/1.2897393.

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In this paper, the two-parameter compensator technique is used to control the one-link flexible robot arm theoretically. The rigid-body mode and the first flexible mode are considered as the nominal model and the other flexible modes are considered as unmodeled dynamics. The sufficient condition for stabilizing the nominal model against the unmodeled flexible dynamics is derived. The first control parameter is employed to robustly stabilize the one-link flexible robot arm against the unmodeled dynamics and the second one is specified to make the response of the system follow the desired refere

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30

De Ayala, R. J. "A Comparison of the Nominal Response Model and the Three-Parameter Logistic Model in Computerized Adaptive Testing." Educational and Psychological Measurement 49, no. 4 (1989): 789–805. http://dx.doi.org/10.1177/001316448904900403.

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31

Revuelta, Javier. "An Item Response Model for Nominal Data Based on the Rising Selection Ratios Criterion." Psychometrika 70, no. 2 (2005): 305–24. http://dx.doi.org/10.1007/s11336-002-0975-y.

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32

Streit, D. A., C. M. Krousgrill, and A. K. Bajaj. "Nonlinear Response of Flexible Robotic Manipulators Performing Repetitive Tasks." Journal of Dynamic Systems, Measurement, and Control 111, no. 3 (1989): 470–79. http://dx.doi.org/10.1115/1.3153077.

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The dynamics of a flexible manipulator is described by two distinct types of variables, one describing the nominal motion and the other describing the compliant motion. For a manipulator programmed to perform repetitive tasks, the dynamical equations governing the compliant motion are parametrically excited. Nonlinear dynamics of a two-degree-of-freedom model is investigated in parameter regions where the nominal motion is predicted by the Floquet theory to be unstable. Multiple time scales technique is used to study the nonlinear response, and it is shown that the compliant coordinates can ex

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Bolt, Daniel M., Allan S. Cohen, and James A. Wollack. "A Mixture Item Response Model for Multiple-Choice Data." Journal of Educational and Behavioral Statistics 26, no. 4 (2001): 381–409. http://dx.doi.org/10.3102/10769986026004381.

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A mixture item response model is proposed for investigating individual differences in the selection of response categories in multiple-choice items. The model accounts for local dependence among response categories by assuming that examinees belong to discrete latent classes that have different propensities towards those responses. Varying response category propensities are captured by allowing the category intercept parameters in a nominal response model ( Bock, 1972 ) to assume different values across classes. A Markov Chain Monte Carlo algorithm for the estimation of model parameters and cl

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Levine, John E., Thomas M. Braun, Andrew C. Harris, et al. "A Biomarker Algorithm Defines Onset Grades of Acute Graft-Vs-Host Disease with Distinct Non-Relapse Mortality." Blood 124, no. 21 (2014): 661. http://dx.doi.org/10.1182/blood.v124.21.661.661.

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Abstract The severity of symptoms at the onset of graft versus host disease (GVHD) does not accurately define risk, and thus most patients (pts) are treated alike with high dose systemic steroids. We hypothesized that concentrations of one or more plasma biomarkers at the time of GVHD diagnosis could define distinct non-relapse mortality (NRM) risk grades that could guide treatment in a multicenter setting. We first analyzed plasma that was prospectively collected at acute GVHD onset from 492 HCT pts from 2 centers, which we randomly divided into training (n=328) and validation (n=164) sets; 3

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Campos, Ana Carolina P., Miriã B. Berzuíno, Gabriela R. Barbosa, et al. "Motor Cortex Stimulation Reversed Hypernociception, Increased Serotonin in Raphe Neurons, and Caused Inhibition of Spinal Astrocytes in a Parkinson’s Disease Rat Model." Cells 10, no. 5 (2021): 1158. http://dx.doi.org/10.3390/cells10051158.

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Persistent pain is a prevalent symptom of Parkinson’s disease (PD), which is related to the loss of monoamines and neuroinflammation. Motor cortex stimulation (MCS) inhibits persistent pain by activating the descending analgesic pathways; however, its effectiveness in the control of PD-induced pain remains unclear. Here, we evaluated the analgesic efficacy of MCS together with serotonergic and spinal glial modulation in an experimental PD (ePD) rat model. Wistar rats with unilateral striatal 6-OHDA and MCS were assessed for behavioral immobility and nociceptive responses. The immunoreactivity

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Srinagesh, Hrishikesh Krishna, Hrishikesh Krishna Srinagesh, Urvi Kapoor, et al. "3424 Serial Biomarker Monitoring Predicts Long Term Outcomes in Acute Graft Versus Host Disease." Journal of Clinical and Translational Science 3, s1 (2019): 114. http://dx.doi.org/10.1017/cts.2019.261.

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OBJECTIVES/SPECIFIC AIMS: The first aim of the study is to evaluate the accuracy of serum biomarkers of acute GVHD measured after four weeks of corticosteroid therapy to predict 6 month NRM. The second aim of this study is to compare the accuracy of the biomarker algorithm to that of clinical response to corticosteroids after four weeks. The third aim of the study is to develop a novel regression model that uses weekly biomarker measurements over the first month of corticosteroid therapy to predict 6 month NRM. METHODS/STUDY POPULATION:. Patients who received HCT at one of 22 IRB-approved cent

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37

Luo, Yong, and Hong Jiao. "Using the Stan Program for Bayesian Item Response Theory." Educational and Psychological Measurement 78, no. 3 (2017): 384–408. http://dx.doi.org/10.1177/0013164417693666.

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Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the three-parameter logistic IRT model, the graded response model, and the nominal response model. We demonstrate how IRT model comparison can be conducted with Stan and how the provided Stan code for simple IRT models can be easily extended to their multidimensional a

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Bayrak, Abdurrahman, Handan Gürsoy, and Mehmet Önder Efe. "A novel robust fuzzy control of an uncertain system." Transactions of the Institute of Measurement and Control 39, no. 3 (2016): 324–33. http://dx.doi.org/10.1177/0142331216668394.

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This paper presents a robust control method combining the conventional proportional–integral–derivative (PID) scheme and the sliding mode fuzzy control scheme for a second-order non-linear system having uncertainties in the system dynamics. The goal of the proposed scheme is to force the response of the uncertain plant to follow that of the nominal model. The first phase of the design approach is to obtain a nominal PID controller for the nominal plant model. The poor performance of the sole PID scheme on the uncertain non-linear system motivates the proposal of the technique discussed here. T

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Huggins-Manley, Anne Corinne, and James Algina. "The Partial Credit Model and Generalized Partial Credit Model as Constrained Nominal Response Models, With Applications in Mplus." Structural Equation Modeling: A Multidisciplinary Journal 22, no. 2 (2015): 308–18. http://dx.doi.org/10.1080/10705511.2014.937374.

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Penfield, Randall D. "An Odds Ratio Approach for Assessing Differential Distractor Functioning Effects under the Nominal Response Model." Journal of Educational Measurement 45, no. 3 (2008): 247–69. http://dx.doi.org/10.1111/j.1745-3984.2008.00063.x.

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41

Quan, Nguyen Minh, Pham Minh Hai, and Dinh Van Phong. "The dynamic response of a rotor supported by two foil-air bearings with an enhanced model of foil structure." International Journal of Modern Physics B 34, no. 22n24 (2020): 2040160. http://dx.doi.org/10.1142/s0217979220401608.

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Foil-air bearings have presented their advantageous performance due to their different structures when compared to traditional air bearings. However, it is the nonlinear characteristic of this kind of bearing that has drawn studies on dynamic response of the rotor-bearing system, especially rotor stability. In this paper, an improved foil dynamic model with internal bending moment included has been proposed to determine the nominal stiffness of the foil structure. Based on that, the nominal stiffness of the foil structure has been investigated with different geometry parameters of the foil str

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42

Linnemann, Ludger, and Andreas Schabert. "Monetary Policy, Agency Costs and Output Dynamics." German Economic Review 4, no. 3 (2003): 341–64. http://dx.doi.org/10.1111/1468-0475.00084.

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Abstract This paper examines the role of financial market imperfections for output reactions to nominal interest rate shocks. Empirical evidence shows a humpshaped impulse response function of output and suggests that credit supply co-moves with output. A monetary business cycle model with staggered price setting is presented where the firms’ outlays for capital and labor must be covered by the sum of net worth of entrepreneurs and loans in the form of debt contracts. These properties are shown to generate a hump-shaped impulse response of output, which takes on the smooth and persistent appea

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Preston, Kathleen Suzanne Johnson, Skye N. Parral, Allen W. Gottfried, et al. "Applying the Nominal Response Model Within a Longitudinal Framework to Construct the Positive Family Relationships Scale." Educational and Psychological Measurement 75, no. 6 (2015): 901–30. http://dx.doi.org/10.1177/0013164414568717.

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Wason, James MS, and Shaun R. Seaman. "A latent variable model for improving inference in trials assessing the effect of dose on toxicity and composite efficacy endpoints." Statistical Methods in Medical Research 29, no. 1 (2019): 230–42. http://dx.doi.org/10.1177/0962280219831038.

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It is often of interest to explore how dose affects the toxicity and efficacy properties of a novel treatment. In oncology, efficacy is often assessed through response, which is defined by a patient having no new tumour lesions and their tumour size shrinking by 30%. Usually response and toxicity are analysed as binary outcomes in early phase trials. Methods have been proposed to improve the efficiency of analysing response by utilising the continuous tumour size information instead of dichotomising it. However, these methods do not allow for toxicity or for different doses. Motivated by a pha

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45

Chen, Jinsong. "Advancing the Bayesian Approach for Multidimensional Polytomous and Nominal IRT Models." Applied Psychological Measurement 41, no. 1 (2016): 3–16. http://dx.doi.org/10.1177/0146621616669096.

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It is common to encounter polytomous and nominal responses with latent variables in social or behavior research, and a variety of polytomous and nominal item response theory (IRT) models are available for applied researchers across diverse settings. With its flexibility and scalability, the Bayesian approach using the Markov chain Monte Carlo (MCMC) method demonstrates its great advantages for polytomous and nominal IRT models. However, the potential of the Bayesian approach would not be fully realized without model formulations that can cover various models and effective fit measures for mode

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46

Hyun, Seung Won, Weng Kee Wong, and Yarong Yang. "Optimal designs for asymmetric sigmoidal response curves in bioassays and immunoassays." Statistical Methods in Medical Research 29, no. 2 (2019): 421–36. http://dx.doi.org/10.1177/0962280219832631.

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The 5-parameter logistic (5PL) model is frequently used to model and analyze responses from bioassays and immunoassays which can be skewed. Various types of optimal experimental designs for 2, 3 and 4-parameter logistic models have been reported but not for the more complicated 5PL model. We construct different types of optimal designs for studying various features of the 5PL model and show that commonly used designs in bioassays and immunoassays are generally inefficient for statistical inference. To facilitate use of such designs in practice, we create a user-friendly software package to gen

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47

Moulton, Sara E., Ellie L. Young, and Richard R. Sudweeks. "Examining the Psychometric Properties of the SRSS-IE With the Nominal Response Model Within a Middle School Sample." Assessment for Effective Intervention 44, no. 4 (2018): 227–40. http://dx.doi.org/10.1177/1534508418777866.

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This study examined the item and category response option functioning of items on the Student Risk Screening Scale for Internalizing and Externalizing Behaviors (SRSS-IE), using item response theory (IRT) methods with a sample of 2,122 middle school students. The SRSS-IE is a screening instrument used to identify students who are potentially at risk for emotional and behavioral disorders (EBD). Utilizing the nominal response and generalized partial credit models of IRT, items from the SRSS-IE were evaluated in terms of the degree to which the response options for each item functioned as intend

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48

Occhino, Filippo. "MARKET SEGMENTATION AND THE RESPONSE OF THE REAL INTEREST RATE TO MONETARY POLICY SHOCKS." Macroeconomic Dynamics 12, no. 5 (2008): 591–618. http://dx.doi.org/10.1017/s1365100508070326.

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Following a contractionary monetary policy shock, the aggregate output decreases over time for six to eight quarters, while the real interest rate increases immediately and remains high for three quarters, which can hardly be replicated by models characterized by a standard consumption Euler equation. This paper adopts a segmented markets framework where some households are permanently excluded from financial markets. The aggregate output and the nominal interest rate are modeled as exogenous autoregressive processes, while the real interest rate is determined endogenously. For intermediate le

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49

Richards, Laura J., and Jon T. Schnute. "Use of a General Dose–Response Model for Rockfish Fecundity–Length Relationships." Canadian Journal of Fisheries and Aquatic Sciences 47, no. 6 (1990): 1148–56. http://dx.doi.org/10.1139/f90-134.

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In this paper we describe a general method for determining the relationship between fecundity and another fish attribute, such as size or age. Our methods include linear and logarithmic regression models as special cases and are applicable to a wide range of situations. The model we propose is based on the univariate form of the Schnute–Jensen dose–response model. However, we extend the Schnute–Jensen analysis by describing exact inference regions obtained from likelihood contours, to which we assign nominal probability levels. We also provide a method for obtaining an inference band for the p

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Amitrano, Chiara, Giovanni Battista Chirico, Stefania De Pascale, Youssef Rouphael, and Veronica De Micco. "Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models." Sensors 20, no. 11 (2020): 3110. http://dx.doi.org/10.3390/s20113110.

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Proximal sensors in controlled environment agriculture (CEA) are used to monitor plant growth, yield, and water consumption with non-destructive technologies. Rapid and continuous monitoring of environmental and crop parameters may be used to develop mathematical models to predict crop response to microclimatic changes. Here, we applied the energy cascade model (MEC) on green- and red-leaf butterhead lettuce (Lactuca sativa L. var. capitata). We tooled up the model to describe the changing leaf functional efficiency during the growing period. We validated the model on an independent dataset wi

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