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Journal articles on the topic 'Mantel tests'

Author: Grafiati

Published: 14 December 2024

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1

Guillot, Gilles, and François Rousset. "Dismantling the Mantel tests." Methods in Ecology and Evolution 4, no. 4 (2013): 336–44. http://dx.doi.org/10.1111/2041-210x.12018.

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2

Raufaste, Nathalie, and François Rousset. "ARE PARTIAL MANTEL TESTS ADEQUATE?" Evolution 55, no. 8 (2001): 1703. http://dx.doi.org/10.1554/0014-3820(2001)055[1703:apmta]2.0.co;2.

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Raufaste, Nathalie, and François Rousset. "ARE PARTIAL MANTEL TESTS ADEQUATE?" Evolution 55, no. 8 (2001): 1703–5. http://dx.doi.org/10.1111/j.0014-3820.2001.tb00689.x.

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4

Rayner, J. C. W., and D. J. Best. "Unconditional analogues of Cochran-Mantel-Haenszel tests." Australian & New Zealand Journal of Statistics 59, no. 4 (2017): 485–94. http://dx.doi.org/10.1111/anzs.12215.

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5

Rayner, J. C. W., and Glen Livingston. "The Kruskal–Wallis tests are Cochran–Mantel–Haenszel mean score tests." METRON 78, no. 3 (2020): 353–60. http://dx.doi.org/10.1007/s40300-020-00192-4.

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6

Rayner, J., and Paul Rippon. "Recent Extensions to the Cochran–Mantel–Haenszel Tests." Stats 1, no. 1 (2018): 98–111. http://dx.doi.org/10.3390/stats1010008.

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The Cochran–Mantel–Haenszel (CMH) methodology is a suite of tests applicable to particular tables of count data. The inference is conditional on the treatment and outcome totals on each stratum being known before sighting the data. The CMH tests are important for analysing randomised blocks data when the responses are categorical rather than continuous. This overview of some recent extensions to CMH testing first describes the traditional CMH tests and then explores new alternative presentations of the ordinal CMH tests. Next, the ordinal CMH tests will be extended so they can be used to test

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7

Rousset, François. "PARTIAL MANTEL TESTS: REPLY TO CASTELLANO AND BALLETTO." Evolution 56, no. 9 (2002): 1874. http://dx.doi.org/10.1554/0014-3820(2002)056[1874:pmtrtc]2.0.co;2.

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Rousset, Francois. "PARTIAL MANTEL TESTS: REPLY TO CASTELLANO AND BALLETTO." Evolution 56, no. 9 (2002): 1874–75. http://dx.doi.org/10.1111/j.0014-3820.2002.tb00204.x.

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9

Verguts, Tom, and Paul Boeck. "Some Mantel-Haenszel tests of Rasch model assumptions." British Journal of Mathematical and Statistical Psychology 54, no. 1 (2001): 21–37. http://dx.doi.org/10.1348/000711001159401.

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10

Miller, M. P. "Computer note. MANTEL-STRUCT: a program for the detection of population structure via mantel tests." Journal of Heredity 90, no. 1 (1999): 258–59. http://dx.doi.org/10.1093/jhered/90.1.258.

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11

Cushman, Samuel, Tzeidle Wasserman, Erin Landguth, and Andrew Shirk. "Re-Evaluating Causal Modeling with Mantel Tests in Landscape Genetics." Diversity 5, no. 1 (2013): 51–72. http://dx.doi.org/10.3390/d5010051.

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12

Martín Andrés, A., I. Herranz Tejedor, and M. Álvarez Hernández. "Conditional and Unconditional Tests (and Sample Size) Based on Multiple Comparisons for Stratified 2 × 2 Tables." Computational and Mathematical Methods in Medicine 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/147038.

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The Mantel-Haenszel test is the most frequent asymptotic test used for analyzing stratified 2×2 tables. Its exact alternative is the test of Birch, which has recently been reconsidered by Jung. Both tests have a conditional origin: Pearson’s chi-squared test and Fisher’s exact test, respectively. But both tests have the same drawback that the result of global test (the stratified test) may not be compatible with the result of individual tests (the test for each stratum). In this paper, we propose to carry out the global test using a multiple comparisons method (MC method) which does not have t

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Rustam, Ahmad, Dali Santun Naga, and Yetti Supriyati. "Sensitivity and Accuracy of the Mantel-Haenszel Method and Standardization Method: Detection of Item Functioning Differential." International Journal of Education and Literacy Studies 7, no. 3 (2019): 28. http://dx.doi.org/10.7575/aiac.ijels.v.7n.3p.28.

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Detection of differential item functioning (DIF) is needed in the development of tests to obtain useful items. The Mantel-Haenszel method and standardization are tools for DIF detection based on classical theory assumptions. The study was conducted to highlight the sensitivity and accuracy between the Mantel-Haenszel method and the standardization method in DIF detection. Simulation design (a) test participants consisted of 1000 responses in both the reference and focus groups, (b) the size of the proportion of DIF (0.1; 0.25; 0.50; and 0.75), and (c) the length of the multiple choice test wit

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14

Bowman, Michelle F., Ron Ingram, Ron A. Reid, et al. "Temporal and spatial concordance in community composition of phytoplankton, zooplankton, macroinvertebrate, crayfish, and fish on the Precambrian Shield." Canadian Journal of Fisheries and Aquatic Sciences 65, no. 5 (2008): 919–32. http://dx.doi.org/10.1139/f08-034.

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Concordance among communities dictates how broadly we can extrapolate results derived from a set of ecosystems. We used Mantel tests to evaluate the degree of concordance in community composition among phytoplankton, zooplankton, benthic macroinvertebrate, crayfish, and fish in eight lakes near Dorset, Ontario, Canada. Spatial concordance across lakes at the decadal scale was stronger (mean Mantel r = 0.51, standard deviation (SD) = 0.20) than both intra-annual agreement (mean Mantel r = 0.38, SD = 0.20) and temporal concordance within a single lake (mean Mantel r = 0.20, SD = 0.15). The degre

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15

Rayner, J. C. W., and D. J. Best. "Extensions to the Cochran–Mantel–Haenszel Mean Scores and Correlation Tests." Journal of Statistical Theory and Practice 12, no. 3 (2018): 561–74. http://dx.doi.org/10.1080/15598608.2018.1439424.

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16

Beckmann, Lars, Christine Fischer, and Jenny Chang-Claude. "S27.1: Accuracy of statistical tests for haplotype analysis using Mantel statistics." Biometrical Journal 46, S1 (2004): 58. http://dx.doi.org/10.1002/bimj.200490262.

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17

Rayner, J. C. W., and G. C. Livingston. "Ordinal Cochran-Mantel-Haenszel Testing and Nonparametric Analysis of Variance: Competing Methodologies." Stats 5, no. 4 (2022): 970–76. http://dx.doi.org/10.3390/stats5040056.

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The Cochran-Mantel-Haenszel (CMH) and nonparametric analysis of variance (NP ANOVA) methodologies are both sets of tests for categorical response data. The latter are competitor tests for the ordinal CMH tests in which the response variable is necessarily ordinal; the treatment variable may be either ordinal or nominal. The CMH mean score test seeks to detect mean treatment differences, while the CMH correlation test assesses ordinary or (1, 1) generalized correlation. Since the corresponding nonparametric ANOVA tests assess arbitrary univariate and bivariate moments, the ordinal CMH tests hav

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18

Schick, R. S., and D. L. Urban. "Spatial components of bowhead whale (Balaena mysticetus) distribution in the Alaskan Beaufort Sea." Canadian Journal of Fisheries and Aquatic Sciences 57, no. 11 (2000): 2193–200. http://dx.doi.org/10.1139/f00-196.

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Bowhead whales (Balaena mysticetus) on their fall migration are exposed to oil exploration activities in the Alaskan Beaufort Sea. While previous research into the effect of industrial noise on whale behavior and distribution has noted significant responses, this research has often proceeded from a parametric statistical framework. To account for the presence of spatially autocorrelated and intercorrelated data, we propose a suite of spatial analysis techniques to assess the distribution of bowhead whales relative to oil exploration activities. Using random resampling techniques and Mantel tes

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19

Jyväsjärvi, Jussi, Marko Järvinen, and Heikki Hämäläinen. "Spatial community concordance of summer phytoplankton and profundal macroinvertebrates in boreal lakes." Canadian Journal of Fisheries and Aquatic Sciences 71, no. 12 (2014): 1776–83. http://dx.doi.org/10.1139/cjfas-2014-0135.

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Reliance of profundal benthic macroinvertebrate assemblages on epilimnetic algal production — a key element of pelagic–benthic coupling — is a well-recognized phenomenon in the literature but the details are still poorly understood. In particular, the importance of taxonomic composition of algal communities and associated qualitative aspects of the settling material to benthic invertebrates is poorly known. We addressed this issue by investigating concordance of summer phytoplankton and profundal macroinvertebrate community composition using data from 47 boreal lakes. We examined community var

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20

Legendre, Pierre. "Comparison of permutation methods for the partial correlation and partial mantel tests." Journal of Statistical Computation and Simulation 67, no. 1 (2000): 37–73. http://dx.doi.org/10.1080/00949650008812035.

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21

Lu, Kaifeng. "Multiple imputation score tests and an application to Cochran‐Mantel‐Haenszel statistics." Statistics in Medicine 39, no. 27 (2020): 4025–36. http://dx.doi.org/10.1002/sim.8706.

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22

Såstad, Sigurd M. "Fungi-vegetation relationships in a Pinus sylvestris forest in central Norway." Canadian Journal of Botany 73, no. 6 (1995): 807–16. http://dx.doi.org/10.1139/b95-089.

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The macrofungal Basidiomycete community of a Pinus sylvestris forest was investigated in 50 plots, 2 × 2 m, to see how vegetation composition and space influenced the distribution of saprotrophic and ectomycorrhizal fungi. Mantel tests and partial Mantel tests revealed a relationship between total cover of the field layer and mycorrhizal fungi, and total cover of the bottom layer and saprotrophic fungi. These results are consistent with the predictions that mycorrhizal fungi are mainly influenced by plant species present in the root zone, whereas saprotrophic fungi are mainly influenced by the

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23

Sokołowski, Andrzej, Sabina Denkowska, Kamil Fijorek, and Marcin Salamaga. "Analiza mocy wybranych testów jednorodności czasów trwania dla populacji o rozkładzie Weibulla." Przegląd Statystyczny. Statistical Review 2013, no. 3 (2013): 305–23. http://dx.doi.org/10.59139/ps.2013.03.2.

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Recently, tests for comparing survival distributions become more and more popular and used in applied economics. Unemployment duration, time needed to find a new job, enterprise survival or waiting for a commodity to be sold are good examples. There are a number of tests to compare survival distributions proposed in statistical literature. The aim of this research was to analyze, by the means of computer simulations, the effectiveness of survival tests as implemented in STATISTICA software. The following tests have been outlined and compared: Wilcoxon, Geehan, Cox-Mantel, Peto & Peto and l

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24

Cortell-Nicolau, Alfredo, Oreto García-Puchol, María Barrera-Cruz, and Daniel García-Rivero. "The spread of agriculture in Iberia through Approximate Bayesian Computation and Neolithic projectile tools." PLOS ONE 16, no. 12 (2021): e0261813. http://dx.doi.org/10.1371/journal.pone.0261813.

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In the present article we use geometric microliths (a specific type of arrowhead) and Approximate Bayesian Computation (ABC) in order to evaluate possible origin points and expansion routes for the Neolithic in the Iberian Peninsula. In order to do so, we divide the Iberian Peninsula in four areas (Ebro river, Catalan shores, Xúquer river and Guadalquivir river) and we sample the geometric microliths existing in the sites with the oldest radiocarbon dates for each zone. On this data, we perform a partial Mantel test with three matrices: geographic distance matrix, cultural distance matrix and

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25

Pai, Shreyas, Philip M. Polgreen, Alberto Maria Segre, Daniel K. Sewell, and Sriram V. Pemmaraju. "Spatiotemporal clustering of in-hospital Clostridioides difficile infection." Infection Control & Hospital Epidemiology 41, no. 4 (2020): 418–24. http://dx.doi.org/10.1017/ice.2019.350.

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AbstractObjective:To determine whether Clostridioides difficile infection (CDI) exhibits spatiotemporal interaction and clustering.Design:Retrospective observational study.Setting:The University of Iowa Hospitals and Clinics.Patients:This study included 1,963 CDI cases, January 2005 through December 2011.Methods:We extracted location and time information for each case and ran the Knox, Mantel, and mean and maximum component size tests for time thresholds (T = 7, 14, and 21 days) and distance thresholds (D = 2, 3, 4, and 5 units; 1 unit = 5–6 m). All tests were implemented using Monte Carlo sim

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26

Tonial, MLS, HLR Silva, IJ Tonial, MC Costa, NJ Silva Júnior, and JAF Diniz-Filho. "Geographical patterns and partition of turnover and richness components of beta-diversity in faunas from Tocantins river valley." Brazilian Journal of Biology 72, no. 3 (2012): 497–504. http://dx.doi.org/10.1590/s1519-69842012000300012.

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There has been a resurging interest in patterns of β-diversity, especially by the mechanisms driving broad-scale, continental and global patterns, and how partitioning β-diversity into richness (or nestedness) and turnover components can be linked with such mechanisms. Here we compared two recent methodologies to find richness and turnover components of β-diversity, using a large regional scale dataset of mammal, bird, reptiles and amphibian species found in seven regions of Central, North and Northeastern Brazil. As well as a simple comparison of the metrics available, we analyzed spatial pat

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27

Lui, Kung-Jong, and Kuang-Chao Chang. "Exact tests in binary data under an incomplete block crossover design." Statistical Methods in Medical Research 27, no. 2 (2016): 579–92. http://dx.doi.org/10.1177/0962280216638382.

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To improve the power of a parallel groups design and reduce the time length of a crossover trial, we may consider an incomplete block crossover design. Under a distribution-free random effects logistic regression model, we derive an exact test and a Mantel-Haenszel Type of summary test procedure for testing non-equality in binary data when comparing three treatments. We employ Monte Carlo simulation to evaluate the performance of these test procedures. We find that both test procedures developed here can perform well in a variety of situations. We use the data taken as a part of the crossover

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28

Leduc, A., P. Drapeau, Y. Bergeron, and P. Legendre. "Study of spatial components of forest cover using partial Mantel tests and path analysis." Journal of Vegetation Science 3, no. 1 (1992): 69–78. http://dx.doi.org/10.2307/3236000.

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29

Gansky, Stuart A., Nancy F. Cheng, and Gary G. Koch. "Dose-Weighted Adjusted Mantel-Haenszel Tests for Numeric Scaled Strata in a Randomized Trial." Statistics in Biopharmaceutical Research 3, no. 2 (2011): 266–75. http://dx.doi.org/10.1198/sbr.2011.10014.

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30

Pavlyuk, Dmitry. "Spatial aspects of european airports’ partial factor productivity." Transport and Telecommunication Journal 15, no. 1 (2014): 20–26. http://dx.doi.org/10.2478/ttj-2014-0003.

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Abstract This research is devoted to discovering of spatial effects in European airports’ partial factor productivity (PFP). A set of study PFP indicators includes infrastructural (air transport movements per runway), labour (workload units per employee), and financial (revenue and profit per workload unit) ratios. We utilised a number of appropriate statistical tests (Moran’s I., Geary’s C., Mantel test, and spatial auto-regression) for revelation of spatial relationships between PFP indicator’s values. The tests were separately applied to samples of Spanish (2009-2010) and UK airports (2011-

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31

Ni, Biao, Jian You, Jiangnan Li, Yingda Du, Wei Zhao, and Xia Chen. "Genetic and Epigenetic Changes during the Upward Expansion of Deyeuxia angustifolia Kom. in the Alpine Tundra of the Changbai Mountains, China." Plants 10, no. 2 (2021): 291. http://dx.doi.org/10.3390/plants10020291.

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Ecological adaptation plays an important role in the process of plant expansion, and genetics and epigenetics are important in the process of plant adaptation. In this study, genetic and epigenetic analyses and soil properties were performed on D. angustifolia of 17 populations, which were selected in the tundra zone on the western slope of the Changbai Mountains. Our results showed that the levels of genetic and epigenetic diversity of D. angustifolia were relatively low, and the main variation occurred among different populations (amplified fragment length polymorphism (AFLP): 95%, methylati

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32

Casabianca, Jodi M., and Charles Lewis. "Statistical Equivalence Testing Approaches for Mantel–Haenszel DIF Analysis." Journal of Educational and Behavioral Statistics 43, no. 4 (2017): 407–39. http://dx.doi.org/10.3102/1076998617742410.

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The null hypothesis test used in differential item functioning (DIF) detection tests for a subgroup difference in item-level performance—if the null hypothesis of “no DIF” is rejected, the item is flagged for DIF. Conversely, an item is kept in the test form if there is insufficient evidence of DIF. We present frequentist and empirical Bayes approaches for implementing statistical equivalence testing for DIF using the Mantel–Haenszel (MH) DIF statistic. With these approaches, rejection of the null hypothesis of “DIF” allows the conclusion of statistical equivalence, a more stringent criterion

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33

Leuraud, K., and J. Benichou. "Tests for Monotonic Trend from Case-Control Data: Cochran-Armitage-Mantel Trend Test, Isotonic Regression and Single and Multiple Contrast Tests." Biometrical Journal 46, no. 6 (2004): 731–49. http://dx.doi.org/10.1002/bimj.200210078.

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34

Rodrigues, Flávia Melo, José Alexandre Felizola Diniz-Filho, Luiz Artur Mendes Bataus, and Rogério Pereira Bastos. "Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices." Genetics and Molecular Biology 25, no. 4 (2002): 435–39. http://dx.doi.org/10.1590/s1415-47572002000400013.

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35

Yanagawa, T., T. Tango, and Y. Hiejima. "Mantel-Haenszel-Type Tests for Testing Equivalence or More Than Equivalence in Comparative Clinical Trials." Biometrics 50, no. 3 (1994): 859. http://dx.doi.org/10.2307/2532800.

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36

Cesaroni, Donatella, Pasquale Matarazzo, Giuliana Allegrucci, and Valerio Sbordoni. "Comparing patterns of geographic variation in cave crickets by combining geostatistic methods and Mantel tests." Journal of Biogeography 24, no. 4 (1997): 419–31. http://dx.doi.org/10.1111/j.1365-2699.1997.00104.x.

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37

Donoghue, John R., and Nancy L. Allen. "Thin Versus Thick Matching in the Mantel-Haenszel Procedure for Detecting DIF." Journal of Educational Statistics 18, no. 2 (1993): 131–54. http://dx.doi.org/10.3102/10769986018002131.

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This Monte Carlo study examined strategies for forming the matching variable for the Mantel-Haenszel (MH) differential item functioning (DIF) procedure; thin matching on total test score was compared to forms of thick matching, pooling levels of the matching variable. Data were generated using a three-parameter logistic (3PL) item response theory (IRT) model with common guessing parameter. Number of subjects and test length were manipulated, as were the difficulty, discrimination, and presence/absence of DIF in the studied item. Outcome measures were the transformed log-odds &Deltacirc; MH

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38

Silva, Daniela de M. e., Aparecido D. da Cruz, Rogério P. Bastos, Mariana P. de C. Telles, and José Alexandre F. Diniz-Filho. "Morphometric and genetic differentiation among populations of Eupemphix nattereri (Amphibia, Anura, Leiuperidae) from central Brazil." Iheringia. Série Zoologia 98, no. 4 (2008): 493–500. http://dx.doi.org/10.1590/s0073-47212008000400013.

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To assess genetic structure and phenotypic diversity of Eupemphix nattereri Steindachner, 1863, morphometric and molecular analyses were carried out for nine populations from the State of Goiás. A total of 11 morphometric traits were evaluated and genetic information was estimated using RAPD markers. Genetic and phenotypic distances were determined as a function of geographical origin. Correlation among genetic, morphometric, micro, and macroenviromental were analyzed by the Mantel test. Genetic data indicated high levels of genetic diversity (Φst= 0.3) among the nine populations. Mantel tests

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39

Burgman, Mark A. "An analysis of the distribution of plants on granite outcrops in southern Western Australia using Mantel tests." Vegetatio 71, no. 2 (1987): 79–86. http://dx.doi.org/10.1007/bf00044821.

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40

Velásquez-Zapata, Valeria, Katherine Palacio-Rúa, Luz E. Cano, and Adelaida Gaviria-Rivera. "Assessment of genotyping markers in the molecular characterization of a population of clinical isolates of Fusarium in Colombia." Biomédica 42, no. 1 (2022): 18–30. http://dx.doi.org/10.7705/biomedica.5869.

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Introduction: Fusarium is a very heterogeneous group of fungi, difficult to classify, with a wide range of living styles, acting as saprophytes, parasites of plants, or pathogens for humans and animals. Prevalence of clinical fusariosis and lack of effective treatments have increased the interest in the precise diagnosis, which implies a molecular characterization of Fusarium populations.Objective: We compared different genotyping markers in their assessment of the genetic variability and molecular identification of clinical isolates of Fusarium.Materials and methods: We evaluated the performa

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Romano, Vito Antonio, Leonardo Rosati, Simonetta Fascetti, et al. "Spatial and Temporal Variability of the Floral Scent Emitted by Barlia robertiana (Loisel.) Greuter, a Mediterranean Food-Deceptive Orchid." Compounds 2, no. 1 (2022): 37–53. http://dx.doi.org/10.3390/compounds2010004.

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This study on Barlia robertiana aims to: (1) assess whether scent is variable between populations; (2) evaluate whether scent composition may be related to geographical variables; (3) assess whether there are VOC differences during the flowering phase; and (4) assess whether there are yearly VOC variabilities. SPME sampling was used. Fourteen plants, collected along an ecological gradient, were analyzed. A multivariate analysis was performed through ordination and hierarchical cluster analysis. Compositions versus geographic distances were also analyzed using Mantel test. Seventy compounds wer

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Ibrahim, Abdul Wahab. "The Applicability of Item Response Theory Based Statistics to Detect Differential Item Functioning in Polytomous Tests." Randwick International of Education and Linguistics Science Journal 1, no. 1 (2020): 1–13. http://dx.doi.org/10.47175/rielsj.v1i1.23.

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The study used statistical procedures based on Item Response Theory to detect Differential Item Functioning (DIF) in polytomous tests. These were with a view to improving the quality of test items construction. The sample consisted of an intact class of 513 Part 3 undergraduate students who registered for the course EDU 304: Tests and Measurement at Sule Lamido University during 2017/2018 Second Semester. A self-developed polytomous research instrument was used to collect data. Data collected were analysed using Generalized Mantel Haenszel, Simultaneous Item Bias Test, and Logistic Discriminan

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Dias, Filipe S., Michael Betancourt, Patricia María Rodríguez-González, and Luís Borda-de-Água. "BetaBayes—A Bayesian Approach for Comparing Ecological Communities." Diversity 14, no. 10 (2022): 858. http://dx.doi.org/10.3390/d14100858.

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Ecological communities change because of both natural and human factors. Distinguishing between the two is critical to ecology and conservation science. One of the most common approaches for modelling species composition changes is calculating beta diversity indices and then relating index changes to environmental changes. The main difficulty with these analyses is that beta diversity indices are paired comparisons, which means indices calculated with the same community are not independent. Mantel tests and generalised dissimilarity modelling (GDM) are two of the most commonly used statistical

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44

Casado-López, Irene, Yale Tung-Chen, Marta Torres-Arrese, et al. "Usefulness of Multi-Organ Point-of-Care Ultrasound as a Complement to the Decision-Making Process in Internal Medicine." Journal of Clinical Medicine 11, no. 8 (2022): 2256. http://dx.doi.org/10.3390/jcm11082256.

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Accumulated data show the utility of diagnostic multi-organ point-of-care ultrasound (PoCUS) in the assessment of patients admitted to an internal medicine ward. We assessed whether multi-organ PoCUS (lung, cardiac, and abdomen) provides relevant diagnostic and/or therapeutic information in patients admitted for any reason to an internal medicine ward. We conducted a prospective, observational, and single-center study, at a secondary hospital. Multi-organ PoCUS was performed during the first 24 h of admission. The sonographer had access to the patients’ medical history, physical examination, a

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45

Uttaro, Thomas. "Influences on the Mantel-Haenszel Chi-Square in Detection of Differential Item Functioning under Rasch Conditions." Perceptual and Motor Skills 80, no. 3_suppl (1995): 1071–74. http://dx.doi.org/10.2466/pms.1995.80.3c.1071.

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The Mantel-Haenszel chi-square (χ2MH) is widely used to detect differential item functioning (item bias) between ethnic and gender-based subgroups on educational and psychological tests. The empirical behavior of χ2MH has been incompletely understood; previous research is inconclusive. The present simulation study explored the effects of sample size, number of items, and trait distributions on the power of χ2MH to detect modeled differential item functioning. A significant effect was obtained for sample size with unacceptably low power for 250 subjects each in the focal and reference groups. T

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., Sukemi. "ANALYSIS OF DIFFERENTIAL ITEM FUNCTION (DIF) COATS-Haenszel USING DIFFERENT AREAS UNDER THE TOWN AND VILLAGE IN NATIONAL TEST DEVICE IN BANTEN IPA SD ( Primary School)." JISAE: Journal of Indonesian Student Assessment and Evaluation 3, no. 1 (2017): 45–61. http://dx.doi.org/10.21009/jisae.v3i1.4860.

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Analysis of Differential Item Function (DIF) / otherness Function Item is an analysis conducted on a set of tests to determine the bias point. Bias grains occur because of differences in background of respondents test, while a good test devices have qualities of objectivity, transparency, accountability and non-discriminatory. This study aimed to describe the test items were contracted Differential Item Function (DIF) at the National Examination IPA SD devices based on differences in urban and rural areas in the province of Banten using Mantel-Haenszel statistical methods. Mantel Haenszel meth

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., Sukemi. "ANALYSIS OF DIFFERENTIAL ITEM FUNCTION (DIF) COATS-Haenszel USING DIFFERENT AREAS UNDER THE TOWN AND VILLAGE IN NATIONAL TEST DEVICE IN BANTEN IPA SD ( Primary School)." JISAE: JOURNAL OF INDONESIAN STUDENT ASSESMENT AND EVALUATION 3, no. 1 (2017): 45–61. http://dx.doi.org/10.21009/jisae.031.05.

Full text

Abstract:

Analysis of Differential Item Function (DIF) / otherness Function Item is an analysis conducted on a set of tests to determine the bias point. Bias grains occur because of differences in background of respondents test, while a good test devices have qualities of objectivity, transparency, accountability and non-discriminatory. This study aimed to describe the test items were contracted Differential Item Function (DIF) at the National Examination IPA SD devices based on differences in urban and rural areas in the province of Banten using Mantel-Haenszel statistical methods. Mantel Haenszel meth

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Hardy, Olivier J., and Sandrine Pavoine. "ASSESSING PHYLOGENETIC SIGNAL WITH MEASUREMENT ERROR: A COMPARISON OF MANTEL TESTS, BLOMBERG ET AL.'S K, AND PHYLOGENETIC DISTOGRAMS." Evolution 66, no. 8 (2012): 2614–21. http://dx.doi.org/10.1111/j.1558-5646.2012.01623.x.

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Yu, Liguo. "Using Kolmogorov Complexity to Study the Coevolution of Header Files and Source Files of C-alike Programs." International Journal of Knowledge and Systems Science 8, no. 2 (2017): 17–26. http://dx.doi.org/10.4018/ijkss.2017040102.

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In C-alike programs, the source code is separated into header files and source files. During the software evolution process, both these two kinds of files need to adapt to changing requirement and changing environment. This paper studies the coevolution of header files and source files of C-alike programs. Using normalized compression distance that is derived from Kolmogorov complexity, we measure the header file difference and source file difference between versions of an evolving software product. Header files distance and source files distance are compared to understand their difference in

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de Almeida Vieira, Fábio, Cristiane Gouvêa Fajardo, Anderson Marcos de Souza, and Dulcinéia de Carvalho. "Landscape-Level and Fine-Scale Genetic Structure of the Neotropical TreeProtium spruceanum(Burseraceae)." International Journal of Forestry Research 2010 (2010): 1–8. http://dx.doi.org/10.1155/2010/120979.

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Knowledge of genetic structure at different scales and correlation with the current landscape is fundamental for evaluating the importance of evolutionary processes and identifying conservation units. Here, we used allozyme loci to examine the spatial genetic structure (SGS) of 230 individuals ofProtium spruceanum, a native canopy-emergent in five fragments of Brazilian Atlantic forest (1 to 11.8 ha), and four ecological corridors (460 to 1 000 m length). Wright's statistic and Mantel tests revealed little evidence of significant genetic structure at the landscape-scale (; , ). At fine-scale S

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