Log in

Relevant bibliographies by topics / Measures of central tendency / Journal articles

To see the other types of publications on this topic, follow the link: Measures of central tendency.

Journal articles on the topic 'Measures of central tendency'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Measures of central tendency.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Mogull, Robert G. "Popular Measures of Central Tendency." Mathematics Teacher 83, no. 9 (December 1990): 744–46. http://dx.doi.org/10.5951/mt.83.9.0744.

Full text

Abstract:

Introductory textbooks in applied statistics typically present a discussion of descriptive statistics as well as of inferential techniques. The presentations include measures of central tendency, such as the arithmetic mean, the median, and the mode, with definitions and examples given for each location parameter.

APA, Harvard, Vancouver, ISO, and other styles

2

Silver, G. L. "Operational measures of central tendency." Applied Mathematics and Computation 186, no. 2 (March 2007): 1379–84. http://dx.doi.org/10.1016/j.amc.2006.07.130.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Manikandan, S. "Measures of central tendency: The mean." Journal of Pharmacology and Pharmacotherapeutics 2, no. 2 (2011): 140. http://dx.doi.org/10.4103/0976-500x.81920.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Manikandan, S. "Measures of central tendency: Median and mode." Journal of Pharmacology and Pharmacotherapeutics 2, no. 3 (2011): 214. http://dx.doi.org/10.4103/0976-500x.83300.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Gonzales, Vera A., and Kenneth J. Ottenbacher. "Measures of Central Tendency in Rehabilitation Research." American Journal of Physical Medicine & Rehabilitation 80, no. 2 (February 2001): 141–46. http://dx.doi.org/10.1097/00002060-200102000-00014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Chambers, Ll G. "74.10 A Spurious Relation between Measures of Central Tendency." Mathematical Gazette 74, no. 467 (March 1990): 54. http://dx.doi.org/10.2307/3618856.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Fess, Elaine Ewing. "Assessment of Normative Statements Through Measures of Central Tendency." Journal of Hand Therapy 1, no. 5 (October 1988): 198–99. http://dx.doi.org/10.1016/s0894-1130(88)80003-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Farebrother, Richard William. "Neopythagorean Approaches to Measures of Central Tendency and Dispersion." CHANCE 33, no. 1 (January 2, 2020): 26–29. http://dx.doi.org/10.1080/09332480.2020.1726115.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Wilcox, Rand R., and H. J. Keselman. "Modern Robust Data Analysis Methods: Measures of Central Tendency." Psychological Methods 8, no. 3 (2003): 254–74. http://dx.doi.org/10.1037/1082-989x.8.3.254.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Fabián, Zdeněk. "New Measures of Central Tendency and Variability of Continuous Distributions." Communications in Statistics - Theory and Methods 37, no. 2 (January 7, 2008): 159–74. http://dx.doi.org/10.1080/03610920701648987.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Chavent, Marie, and Jérôme Saracco. "On Central Tendency and Dispersion Measures for Intervals and Hypercubes." Communications in Statistics - Theory and Methods 37, no. 9 (March 11, 2008): 1471–82. http://dx.doi.org/10.1080/03610920701678984.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Bhaskar, SBala, Zulfiqar Ali, and K. Sudheesh. "Descriptive statistics: Measures of central tendency, dispersion, correlation and regression." Airway 2, no. 3 (2019): 120. http://dx.doi.org/10.4103/arwy.arwy_37_19.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Fazli, K., and J. Behboodian. "A construction method for measures of central tendency and dispersion." International Journal of Mathematical Education in Science and Technology 33, no. 2 (March 2002): 299–302. http://dx.doi.org/10.1080/002073902753586409.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Adamson, Katie Anne, and Susan Prion. "Making Sense of Methods and Measurement: Measures of Central Tendency." Clinical Simulation in Nursing 9, no. 12 (December 2013): e617-e618. http://dx.doi.org/10.1016/j.ecns.2013.04.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Kuna-Broniowska, Izabela, and Halina Smal. "Statistical measures of the central tendency for H+ activity and pH." Soil Science Annual 68, no. 4 (December 1, 2017): 174–81. http://dx.doi.org/10.1515/ssa-2017-0022.

Full text

Abstract:

Abstract Despite the numerous papers on the statistical analyses of pH, there is no explicit opinion on the use of arithmetic mean as a measure of the central tendency for pH and H+ activity. The problem arises because the transformation of the arithmetic mean for one does not give the arithmetic mean for the other. The paper presents 1) the theoretical considerations on the distribution of pH and H+ activity and relation between them, properties of these distributions, the choice of distributions which should be consistent with the distribution of pH and the distribution of H+ activity and measures of central tendency for features of such distributions and 2) examples of calculations of measures of central tendency for pH and H+ activity based on the literature data on soil and lake water pH. These data analyses included distributions of pH and H+ activities, properties of distribution, descriptive statistics for pH and for the H+ activity and comparison of arithmetic mean with the geometric mean. From the results, it could be concluded that a uniform approach to the choice of measure for the central tendency of pH and H+ activity requires the determination of the type of measure (mean) for one of them and then consistent transformation of this measure. The choice of measure of the central tendency for the variable should be preceded by determination of its distribution. Normal probability distribution of pH and thus lognormal distribution of H+ activity indicate that the arithmetic mean, and its corresponding geometric mean should be used as proper measures of the central tendency for pH and for H+ activity. Besides, the position statistic that is a median can be used for each of those variables, irrespective of their probability distributions.

APA, Harvard, Vancouver, ISO, and other styles

16

Jankowski, Katherine R. B., and Kevin J. Flannelly. "Measures of Central Tendency in Chaplaincy, Health Care, and Related Research." Journal of Health Care Chaplaincy 21, no. 1 (January 2, 2015): 39–49. http://dx.doi.org/10.1080/08854726.2014.989799.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Halley, Robert M. "Measures of Central Tendency, Location, and Dispersion in Salary Survey Research." Compensation & Benefits Review 36, no. 5 (October 2004): 39–52. http://dx.doi.org/10.1177/0886368704268598.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

DR. P. Anilkumar, DR P. Anilkumar. "Refining Measure of Central Tendency and Dispersion." IOSR Journal of Mathematics 6, no. 1 (2013): 1–4. http://dx.doi.org/10.9790/5728-0610104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Feng, Jie, Jing Zhang, Zoltan Toth, Malaquias Peña, and Sai Ravela. "A New Measure of Ensemble Central Tendency." Weather and Forecasting 35, no. 3 (April 16, 2020): 879–89. http://dx.doi.org/10.1175/waf-d-19-0213.1.

Full text

Abstract:

Abstract Ensemble prediction is a widely used tool in weather forecasting. In particular, the arithmetic mean (AM) of ensemble members is used to filter out unpredictable features from a forecast. AM is a pointwise statistical concept, providing the best sample-based estimate of the expected value of any single variable. The atmosphere, however, is a multivariate system with spatially coherent features characterized with strong correlations. Disregarding such correlations, the AM of an ensemble of forecasts removes not only unpredictable noise but also flattens features whose presence is still predictable, albeit with somewhat uncertain location. As a consequence, AM destroys the structure, and reduces the amplitude and variability associated with partially predictable features. Here we explore the use of an alternative concept of central tendency for the estimation of the expected feature (instead of single values) in atmospheric systems. Features that are coherent across ensemble members are first collocated to their mean position, before the AM of the aligned members is taken. Unlike earlier definitions based on complex variational minimization (field coalescence of Ravela and generalized ensemble mean of Purser), the proposed feature-oriented mean (FM) uses simple and computationally efficient vector operations. Though FM is still not a dynamically realizable state, a preliminary evaluation of ensemble geopotential height forecasts indicates that it retains more variance than AM, without a noticeable drop in skill. Beyond ensemble forecasting, possible future applications include a wide array of climate studies where the collocation of larger-scale features of interest may yield enhanced compositing results.

APA, Harvard, Vancouver, ISO, and other styles

20

Борсук, Сергій Павлович. "Analysis of admissibility of central tendency measures to estimate aviation operator progress." Eastern-European Journal of Enterprise Technologies 1, no. 3(73) (February 27, 2015): 49. http://dx.doi.org/10.15587/1729-4061.2015.37795.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Ghahramani, Farzad, Hooman Tahayori, and Andrea Visconti. "Effects of central tendency measures on term weighting in textual information retrieval." Soft Computing 25, no. 11 (March 24, 2021): 7341–78. http://dx.doi.org/10.1007/s00500-021-05694-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

PARKASH, OM, and A. K. THUKRAL. "STATISTICAL MEASURES AS MEASURES OF DIVERSITY." International Journal of Biomathematics 03, no. 02 (June 2010): 173–85. http://dx.doi.org/10.1142/s179352451000091x.

Full text

Abstract:

Two fields of research have found tremendous applicability in the analysis of biological data-statistics and information theory. Statistics is extensively used for the measurement of central tendency, dispersion, comparison and covariation. Measures of information are used to study diversity and equitability. These two fields have been used independent of each other for data analysis. In this communication, we develop the link between the two and prove that statistical measures can be used as information measures. Our study will be a new interdisciplinary field of research and it will be possible to describe information content of a system from its statistics.

APA, Harvard, Vancouver, ISO, and other styles

23

Asano, Kota, and Yoshifumi Kodama. "Choice of Measure of Central Tendency in CVM." JOURNAL OF RURAL PLANNING ASSOCIATION 19 (2000): 49–54. http://dx.doi.org/10.2750/arp.19.19-suppl_49.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Hollingsworth, Blane, and Nengxiang Ling. "The iteratile: A new measure of central tendency." Cogent Mathematics 3, no. 1 (February 26, 2016): 1149135. http://dx.doi.org/10.1080/23311835.2016.1149135.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Benke, K. K., and A. J. Hamilton. "Quantitative microbial risk assessment: uncertainty and measures of central tendency for skewed distributions." Stochastic Environmental Research and Risk Assessment 22, no. 4 (June 28, 2007): 533–39. http://dx.doi.org/10.1007/s00477-007-0171-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Sinova, Beatriz, Sara De La Rosa De Sáa, María Asunción Lubiano, and María Ángeles Gil. "An Overview on the Statistical Central Tendency for Fuzzy Data Sets." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, Suppl. 1 (December 2015): 105–32. http://dx.doi.org/10.1142/s0218488515400097.

Full text

Abstract:

When Statistics deals with data which cannot be expressed in a numerical scale, the scale of fuzzy values (in particular, the scale of fuzzy numbers) often becomes a suitable tool to express such data. In this way, many ratings, opinions, judgements, etc. mostly coming from human valuations can be appropriately described in terms of fuzzy data. To summarize the central tendency of a fuzzy dataset, some measures have been suggested in the literature. This paper aims to review some of the main ones, and examine their properties in a comparative way. A real-life example illustrates their application. Furthermore, the paper shows the statistical robustness (both through the finite sample breakdown point and a simulation study) and the empirical “precision” of the fuzzy number-valued sample measures. Finally, some related developments and future directions are pointed out.

APA, Harvard, Vancouver, ISO, and other styles

27

KLLOGJERI, PELLUMB, and ADRIAN KLLOGJERI. "Use of GeoGebra in teaching about central tendency and spread variability." Creative Mathematics and Informatics 21, no. 1 (2012): 57–64. http://dx.doi.org/10.37193/cmi.2012.01.14.

Full text

Abstract:

In data analysis are used graphs, tables, and numerical summaries to study the variation present in data under study. Graphs are effective visual tools because they present information quickly and easily. Graphs are commonly used by print and electronic media and, data can be better understood when presented by a graph than by a table because the graph can reveal a trend or comparison. Graphs display the relationship between variables or show the value spread of a given variable or phenomenon. Measuring the central tendency we identify the most representative value in a set of data. Mean, median and mode give different perspectives of a data set’s centre, but a data description is not complete until the spread variability is also known. The basic numerical description of a data set requires measures of both centre and spread. In this paper we will be concentrated on graphical representation of data collected from a population. A useful tool to get such nice visual representations is GeoGebra. GeoGebra is an interactive geometry system and, by the use of its virtual tools, we can do constructions with points, vectors, segments, lines; we can construct histogram and geometrically show the positions of the median and quartiles [4]. GeoGebra provides numerical calculations for the measures of data centre and spread. GeoGebra software is very useful and helpful for teachers and students to graphically present data and easy understand and interpret them [6]. Also, GeoGebra is dynamic mathematics software for schools that joins geometry, algebra, and calculus. Using this dynamic feature in the teaching hour of statistics, the students have a better and fuller understanding about data measures and data spread.

APA, Harvard, Vancouver, ISO, and other styles

28

TASSINARI, JOHN T. "Monocular Estimate Method Retinoscopy: Central Tendency Measures and Relationship to Refractive Status and Heterophoria." Optometry and Vision Science 79, no. 11 (November 2002): 708–14. http://dx.doi.org/10.1097/00006324-200211000-00008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Naraghi-Pour, Mort, and Erfan Soltanmohammadi. "Tenor: A Measure of Central Tendency for Distributed Networks." IEEE Signal Processing Letters 22, no. 1 (January 2015): 58–61. http://dx.doi.org/10.1109/lsp.2014.2345499.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Balota, David A., and Daniel H. Spieler. "Word frequency, repetition, and lexicality effects in word recognition tasks: Beyond measures of central tendency." Journal of Experimental Psychology: General 128, no. 1 (1999): 32–55. http://dx.doi.org/10.1037/0096-3445.128.1.32.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Gustafsson, Oscar, Mikael Montelius, Göran Starck, and Maria Ljungberg. "Impact of prior distributions and central tendency measures on Bayesian intravoxel incoherent motion model fitting." Magnetic Resonance in Medicine 79, no. 3 (June 19, 2017): 1674–83. http://dx.doi.org/10.1002/mrm.26783.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Killeen, Peter R. "The bimean: A measure of central tendency that accommodates outliers." Behavior Research Methods, Instruments, & Computers 17, no. 5 (September 1985): 526–28. http://dx.doi.org/10.3758/bf03207646.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ellenbaum, Charles O. "Melts in Your Mind, Not in Your Hand: Measures of Central Tendency Using M & M's." Teaching Anthropology: Society for Anthropology in Community Colleges Notes 3, no. 2 (September 1995): 32. http://dx.doi.org/10.1525/tea.1995.2.2.32.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Smothers, C. D., F. Sun, and A. D. Dayton. "Comparison of arithmetic and geometric means as measures of a central tendency in cattle nematode populations." Veterinary Parasitology 81, no. 3 (March 1999): 211–24. http://dx.doi.org/10.1016/s0304-4017(98)00206-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Al Mutairi, O., and Heng Chin Low. "Estimations of the Central Tendency Measures of the Random-sum Poisson-Weibull Distribution using Saddlepoint Approximation." Journal of Applied Sciences 14, no. 16 (August 1, 2014): 1889–93. http://dx.doi.org/10.3923/jas.2014.1889.1893.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

dos Santos, Laurita, Joaquim J. Barroso, Elbert E. N. Macau, and Moacir F. de Godoy. "Assessment of heart rate variability by application of central tendency measure." Medical & Biological Engineering & Computing 53, no. 11 (September 22, 2015): 1231–37. http://dx.doi.org/10.1007/s11517-015-1390-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Leavy, Aisling M., Susan N. Friel, and James D. Mamer. "It's a Fird! Can You Compute a Median of Categorical Data?" Mathematics Teaching in the Middle School 14, no. 6 (February 2009): 344–51. http://dx.doi.org/10.5951/mtms.14.6.0344.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Lesser, Lawrence M. "Delving Deeper: Sizing Up Class Size: A Deeper Classroom Investigation of Central Tendency." Mathematics Teacher 103, no. 5 (December 2009): 376–80. http://dx.doi.org/10.5951/mt.103.5.0376.

Full text

Abstract:

Being able to select, use, and interpret measures of center is expected of all secondary students (NCTM 2000, 2006). Discussing average class size can be a motivational vehicle for exploring this topic because students (and teachers) at all grade levels notice when they have significantly bigger classes and high school juniors and seniors see average class size touted in the publicity brochures they receive from colleges. Also, educators, administrators, policy makers, and parents are concerned about the impact class size may have on student achievement and equity (e.g., Finn, Gerber, and Boyd-Zaharias 2005; Nye, Hedges, and Konstantopoulos 2004; Pong and Pallas 2001). Finally, using situations that readily yield results that students initially find counterintuitive can be motivating (Lesser 1998).

APA, Harvard, Vancouver, ISO, and other styles

39

Lesser, Lawrence M. "Delving Deeper: Sizing Up Class Size: A Deeper Classroom Investigation of Central Tendency." Mathematics Teacher 103, no. 5 (December 2009): 376–80. http://dx.doi.org/10.5951/mt.103.5.0376.

Full text

Abstract:

Being able to select, use, and interpret measures of center is expected of all secondary students (NCTM 2000, 2006). Discussing average class size can be a motivational vehicle for exploring this topic because students (and teachers) at all grade levels notice when they have significantly bigger classes and high school juniors and seniors see average class size touted in the publicity brochures they receive from colleges. Also, educators, administrators, policy makers, and parents are concerned about the impact class size may have on student achievement and equity (e.g., Finn, Gerber, and Boyd-Zaharias 2005; Nye, Hedges, and Konstantopoulos 2004; Pong and Pallas 2001). Finally, using situations that readily yield results that students initially find counterintuitive can be motivating (Lesser 1998).

APA, Harvard, Vancouver, ISO, and other styles

40

Patterson, Lynn G., and Kadie L. Patterson. "Problem Solve with Presidential Data." Mathematics Teaching in the Middle School 19, no. 7 (March 2014): 406–13. http://dx.doi.org/10.5951/mathteacmiddscho.19.7.0406.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Farrell, Amy. "School Bus Dilemma." Teaching Children Mathematics 19, no. 9 (May 2013): 538–40. http://dx.doi.org/10.5951/teacchilmath.19.9.0538.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Belfort, Rascius-Endrigho A. U., Sara P. C. Treccossi, João L. F. Silva, Valdir G. Pillat, Celso B. N. Freitas, and Laurita dos Santos. "Extended Central Tendency Measure and difference plot for heart rate variability analysis." Medical Engineering & Physics 74 (December 2019): 33–40. http://dx.doi.org/10.1016/j.medengphy.2019.09.024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Enlow, Matt, and S. Asli Özgün-Koca. "GPS: Working Backward with Data." Mathematics Teacher: Learning and Teaching PK-12 113, no. 3 (March 2020): 257–59. http://dx.doi.org/10.5951/mtlt.2019.0373.

Full text

Abstract:

This month's Growing Problem Solvers focuses on Data Analysis across all grades beginning with visual representations of categorical data and moving to measures of central tendency using a “working backwards” approach.

APA, Harvard, Vancouver, ISO, and other styles

44

Osler II, James Edward. "Tri�Center Analysis: Determining Measures of Trichotomous Central Tendency for the Parametric Analysis of Tri�Squared Test Results." i-manager's Journal of Educational Technology 11, no. 1 (June 15, 2014): 22–29. http://dx.doi.org/10.26634/jet.11.1.2671.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Trifonov, R. S., D. A. Yakovlev, S. A. Filippov, and O. A. Solovyeva. "Evaluation of central tendency measures in relation to the parameters of contact network feeders controlled by relay protection." IOP Conference Series: Materials Science and Engineering 1151, no. 1 (May 1, 2021): 012015. http://dx.doi.org/10.1088/1757-899x/1151/1/012015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

McGreevy, Katharine M., Stuart R. Lipsitz, Jeffrey A. Linder, Eric Rimm, and David G. Hoel. "Using Median Regression to Obtain Adjusted Estimates of Central Tendency for Skewed Laboratory and Epidemiologic Data." Clinical Chemistry 55, no. 1 (January 1, 2009): 165–69. http://dx.doi.org/10.1373/clinchem.2008.106260.

Full text

Abstract:

Abstract Background: Laboratory studies often involve analyses of highly skewed data for which means are not an adequate measure of central tendency because they are sensitive to outliers. Attempts to transform skewed data to symmetry are not always successful, and medians are better measures of central tendency for such skewed distributions. When medians are compared across groups, confounding can be an issue, so there is a need for adjusted medians. Methods: We illustrate the use of quantile regression to obtain adjusted medians. The method is illustrated by use of skewed nutrient data obtained from black and white men attending a prostate cancer screening. For 3 nutrients, saturated fats, caffeine, and vitamin K, we obtained medians adjusted by age, body mass index, and calories for men in each race group. Results: Quantile regression, linear regression, and log-normal regression produced substantially different adjusted estimates of central tendency for saturated fats, caffeine, and vitamin K. Conclusions: Our method was useful for analysis of skewed and other nonnormally distributed continuous outcome data and for calculation of adjusted medians.

APA, Harvard, Vancouver, ISO, and other styles

47

Torres Castellanos, Roxana, Roberto Alfonso Martínez Medel, and Emilio Barbarín Rodríguez. "EVALUATION OF THE DIAMETER OF THE LUMBAR VERTEBRAL CANAL USING COMPUTED TOMOGRAPHY IN MEXICAN POPULATION." Coluna/Columna 15, no. 2 (June 2016): 118–19. http://dx.doi.org/10.1590/s1808-185120161502157644.

Full text

Abstract:

ABSTRACT Objective: To conduct a descriptive study to find measures of central tendency in the vertebral bodies L3, L4, and L5 in the Mexican population. Methods: Fifty patients were considered, 33 male and 17 female, aged between 30 and 55 years. Measurements were performed at the levels L3, L4 and L5 taking the interpedicular distance (A), mid-sagittal diameter (B), anteroposterior distance (AP) and the depth of lateral recess (R) in axial 2-mm sections of CT scans (Somaton Emotion, SIEMENS, 2 sections) in a Mexican population with healthy vertebral bodies, with no history of lumbar pathology. Results: Overall, the measures obtained were mean interpedicular distance of 22.80 in L3, range of 16.34/28.72. In L4, mean of 23.83, range of 17.62/27.92. In L5, mean of 25.28, range of 21.88/31.29. Conclusions: This study managed to make a database that did not exist in Mexico, using measures of central tendency. Therefore, it opens the way for it to be possible, in future studies, to identify predictive factors or even developing implants.

APA, Harvard, Vancouver, ISO, and other styles

48

Bernstein, Lori J., Pamela A. Catton, and Ian F. Tannock. "Intra-individual Variability in Women with Breast Cancer." Journal of the International Neuropsychological Society 20, no. 4 (March 11, 2014): 380–90. http://dx.doi.org/10.1017/s1355617714000125.

Full text

Abstract:

AbstractStudies assessing cognitive functioning in women treated for breast cancer have used primarily standardized neuropsychological tests and examined accuracy and/or reaction time as outcome measures: they have been inconsistent in identifying the cognitive domains affected and the severity of deficits. In other contexts of neural development and disorders, measures of Intra-individual variability (IIV) have proven useful in identifying subtleties in performance deficits that are not captured by measures of central tendency. This article presents proof of concept that assessing IIV may also increase understanding of the cognitive effects of cancer treatment. We analyzed mean accuracy and reaction time, as well as IIV from 65 women with breast cancer and 28 age and education matched controls who performed the Conner's Continuous Performance Test, a “Go-NoGo” task. Although there were no significant differences between groups using measures of central tendency, there was a group × inter-stimulus interval (ISI) interaction for IIV Dispersion (p< .001). Patient Dispersion was more variable at shorter ISI than controls and less variable at long ISI, suggesting greater sensitivity to presentation speed. Interpretation of IIV differences requires further investigation. Our results suggest that future studies would benefit from designs that allow analysis of IIV measures in studies assessing cognition in cancer survivors. (JINS, 2014,20, 1–11)

APA, Harvard, Vancouver, ISO, and other styles

49

Quinn II, Terrance J. "Catch-Per-Unit-Effort: A Statistical Model for Pacific Halibut (Hippoglossus stenolepis)." Canadian Journal of Fisheries and Aquatic Sciences 42, no. 8 (August 1, 1985): 1423–29. http://dx.doi.org/10.1139/f85-178.

Full text

Abstract:

The empirical distributions of catch-per-unit-effort (CPUE) of Pacific halibut (Hippoglossus stenolepis) were positively skewed and could be modeled by a general family of distributions involving power transformations. The root normal distribution, a special case from the family, was found to be a convenient model for the data. Measures of the central tendency and variance of the distribution were derived. Estimators of the central tendency based on increasing variance of a function of catch as a function of effort were most appropriate for the data. A median-based estimator performed better than a mean-based estimator. Thus, statistical modeling of CPUE provided a tool for constructing a better estimator of an abundance index.

APA, Harvard, Vancouver, ISO, and other styles

50

Reis Marques*, Tiago, Inês Laíns*, Maria João Martins, Francisco Goiana-da-Silva, Filipa Sampaio, Inês Pessanha, Diogo Hipólito Fernandes, et al. "Evaluation of The Medical Board Exam in Portugal." Acta Médica Portuguesa 31, no. 11 (November 30, 2018): 670. http://dx.doi.org/10.20344/amp.10646.

Full text

Abstract:

Introduction: There is a high heterogeneity in the structure of postgraduate medical training evaluation worldwide. However, in contrast to other countries, there have been no scientific studies of the final medical board examination, in Portugal. The present study aimed to evaluate the adequacy of the medical board examination including its validity as measured by its association with medical school grade average and national seriation examination.Material and Methods: Cross-sectional, observational study. We analyzed the final results on the medical board examination of 2439 physicians, across 47 specialties, who completed their training in 2016 and 2017, using measures of central tendency and variability. We assessed the association between these grades and the national exam to initiate residency, and the grade average in Medical School.Results: Measures of central tendency and variability, and consequent shape measures, revealed that the distribution of the scores of the final medical board exam is extremely negatively asymmetric and leptokurtic. A positive association was also found between the results in this exam and the score on national exam to initiate residency, and the grade average in Medical School.Conclusion: Although the medical board examination was, in general, positively associated with scores on the national exam to initiate residency, and the mean final Medical School grades, thus indicating its potential validity, our results demonstrate that this exam presents no satisfactory discriminative capacity. Therefore, there is room to improve the actual postgraduate medical examination model, including changes in its classification system and potentially consider other assessment models.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!