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Journal articles on the topic 'Descriptive statistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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1

Bulman, J. S., and J. F. Osborn. "Descriptive statistics." British Dental Journal 166, no. 2 (January 1989): 51–54. http://dx.doi.org/10.1038/sj.bdj.4806708.

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2

Kaur, Parampreet, Jill Stoltzfus, and Vikas Yellapu. "Descriptive statistics." International Journal of Academic Medicine 4, no. 1 (2018): 60. http://dx.doi.org/10.4103/ijam.ijam_7_18.

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3

Vetter, Thomas R. "Descriptive Statistics." Anesthesia & Analgesia 125, no. 5 (November 2017): 1797–802. http://dx.doi.org/10.1213/ane.0000000000002471.

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4

Shi, Runhua, and Jerry W. McLarty. "Descriptive statistics." Annals of Allergy, Asthma & Immunology 103, no. 4 (October 2009): S9—S14. http://dx.doi.org/10.1016/s1081-1206(10)60815-0.

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5

Pérez-Vicente, S., and M. Expósito Ruiz. "Descriptive statistics." Allergologia et Immunopathologia 37, no. 6 (November 2009): 314–20. http://dx.doi.org/10.1016/j.aller.2009.10.005.

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6

Dassanayake, B. K. "Descriptive statistics." Sri Lanka Journal of Surgery 31, no. 1 (May 7, 2013): 15. http://dx.doi.org/10.4038/sljs.v31i1.5268.

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7

Oldham, Jackie. "Statistical tests (Part 1): descriptive statistics." Nursing Standard 7, no. 43 (July 14, 1993): 30–35. http://dx.doi.org/10.7748/ns.7.43.30.s49.

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8

van den Besselaar, Peter. "Descriptive statistics, inferential statistics, rhetorical statistics." Journal of the American Society for Information Science and Technology 54, no. 11 (2003): 1077. http://dx.doi.org/10.1002/asi.10304.

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9

McHugh, Mary L. "Descriptive Statistics, Part II: Most Commonly Used Descriptive Statistics." Journal for Specialists in Pediatric Nursing 8, no. 3 (July 2003): 111–16. http://dx.doi.org/10.1111/j.1088-145x.2003.00111.x.

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10

Kapoor, Rakesh, and Kamal Kishore. "Statistics Corner: Reporting Descriptive Statistics." Journal of Postgraduate Medicine, Education and Research 54, no. 2 (2020): 66–68. http://dx.doi.org/10.5005/jp-journals-10028-1364.

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11

Fisher, Murray J., and Andrea P. Marshall. "Understanding descriptive statistics." Australian Critical Care 22, no. 2 (May 2009): 93–97. http://dx.doi.org/10.1016/j.aucc.2008.11.003.

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12

Richardson, E. Greer. "Editorial: Descriptive Statistics." Foot & Ankle International 28, no. 12 (December 2007): 1217–20. http://dx.doi.org/10.3113/fai.2007.1217.

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13

Hoeks, Sanne, Isabella Kardys, Mattie Lenzen, Ron van Domburg, and Eric Boersma. "Tools and Techniques - Statistics: descriptive statistics." EuroIntervention 9, no. 8 (December 2013): 1001–3. http://dx.doi.org/10.4244/eijv9i8a167.

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14

Subanji, Subanji, Toto Nusantara, Desi Rahmatina, and Heri Purnomo. "The Statistical Creative Framework in Descriptive Statistics Activities." International Journal of Instruction 14, no. 2 (April 1, 2021): 591–608. http://dx.doi.org/10.29333/iji.2021.14233a.

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15

Byrne, Gillian. "A Statistical Primer: Understanding Descriptive and Inferential Statistics." Evidence Based Library and Information Practice 2, no. 1 (March 14, 2007): 32. http://dx.doi.org/10.18438/b8fw2h.

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As libraries and librarians move more towards evidence-based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence-based practice (EBP), in order to correctly design and analyze research as well as to evaluate the research of others. This article covers the fundamentals of descriptive and inferential statistics, from hypothesis construction to sampling to common statistical techniques including chi-square, correlation, and analysis of variance (ANOVA).
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16

Gupta, Anshul, Prabhaker Mishra, ChandraM Pandey, Uttam Singh, Chinmoy Sahu, and Amit Keshri. "Descriptive statistics and normality tests for statistical data." Annals of Cardiac Anaesthesia 22, no. 1 (2019): 67. http://dx.doi.org/10.4103/aca.aca_157_18.

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17

Egoshin, V. L., S. V. Ivanov, N. V. Savvina, G. Zh Kapanova, and A. M. Grjibovski. "DESCRIPTIVE STATISTICS USING R." Human Ecology, no. 9 (September 14, 2018): 55–64. http://dx.doi.org/10.33396/1728-0869-2018-9-55-64.

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18

C. Taeuber, Richard. "Basic data — Descriptive statistics." International Journal of Educational Research 11, no. 4 (January 1987): 397–401. http://dx.doi.org/10.1016/0883-0355(87)90021-8.

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19

Sheikh, Aziz, and Adrian Cook. "Descriptive statistics (Part 1)." Primary Care Respiratory Journal 7, no. 3 (December 1999): 32–34. http://dx.doi.org/10.1038/pcrj.1999.20.

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20

Imhof, David. "DETECTING BID-RIGGING CARTELS WITH DESCRIPTIVE STATISTICS." Journal of Competition Law & Economics 15, no. 4 (December 2019): 427–67. http://dx.doi.org/10.1093/joclec/nhz019.

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Abstract The paper shows that descriptive statistics, used as screens, capture the effect of bid rigging in the distribution of the bids. The bid-rigging cartel studied in this paper negatively affected the variance of the bids as illustrated by the coefficient of variance and the kurtosis statistic. Furthermore, it cleverly manipulated the differences between bids to secure that the designated bidder from the cartel won the contract. Such cover-bidding mechanism produced asymmetry in the distribution of the bids illustrated by the relative distance, the skewness statistic, and the percentage difference between the first and second lowest bids. The descriptive statistics capture the change in the statistical pattern of the distribution of the bids between periods of collusion and competition. Moreover, the bid rotation screen shows that the behavior of firms changed radically between the cartel and post-cartel periods. Finally, the paper discusses policy implications for competition agencies wishing to set up a detection method for screening procurement markets.
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21

Clark, Elisabeth. "Making sense of descriptive statistics." Nursing Standard 4, no. 46 (August 8, 1990): 36–41. http://dx.doi.org/10.7748/ns.4.46.36.s40.

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22

Gissane, Conor. "Understanding and Using Descriptive Statistics." British Journal of Occupational Therapy 61, no. 6 (June 1998): 267–72. http://dx.doi.org/10.1177/030802269806100609.

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There is sometimes confusion over the correct statistical techniques that should be used in a particular setting. This paper outlines some methods that can be applied both to display information graphically and to summarise data numerically. The relative strengths and weaknesses of a number of diagrams and summary measures are examined. The particular method(s) that is used depends upon a number of factors. These are, firstly, the level of measurement of the data that have been collected; secondly, the overall distribution of the data being investigated; and, finally, the overall strategy of the plan of investigation. The reasons as to why a particular technique should be used are not always apparent and some methods for making a decision are discussed. Investigators should consider their choice carefully and be in a position to justify that choice.
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23

Larson, Martin G. "Descriptive Statistics and Graphical Displays." Circulation 114, no. 1 (July 4, 2006): 76–81. http://dx.doi.org/10.1161/circulationaha.105.584474.

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24

MEYER, JOERG. "Simple Paradoxes in Descriptive Statistics." Teaching Mathematics and its Applications 14, no. 2 (1995): 51–60. http://dx.doi.org/10.1093/teamat/14.2.51.

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25

Neri, Peter. "Classification images as descriptive statistics." Journal of Mathematical Psychology 82 (February 2018): 26–37. http://dx.doi.org/10.1016/j.jmp.2017.10.004.

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26

Yu, Fei, and Abdelmonem A. Afifi. "Descriptive Statistics in Ophthalmic Research." American Journal of Ophthalmology 147, no. 3 (March 2009): 389–91. http://dx.doi.org/10.1016/j.ajo.2008.12.018.

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27

Turner, Dana P., and Timothy T. Houle. "Conducting and Reporting Descriptive Statistics." Headache: The Journal of Head and Face Pain 59, no. 3 (March 2019): 300–305. http://dx.doi.org/10.1111/head.13489.

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28

Schober, Patrick, and Thomas R. Vetter. "Descriptive Statistics in Medical Research." Anesthesia & Analgesia 129, no. 6 (December 2019): 1445. http://dx.doi.org/10.1213/ane.0000000000004480.

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29

Poulton, Thomas J. "Use of descriptive statistics questioned." Air Medical Journal 14, no. 3 (July 1995): 121. http://dx.doi.org/10.1016/1067-991x(95)90509-x.

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30

Rohana, Rohana, and Yunika Lestaria Ningsih. "STUDENTS’ STATISTICAL REASONING IN STATISTICS METHOD COURSE." Jurnal Pendidikan Matematika 14, no. 1 (December 31, 2019): 81–90. http://dx.doi.org/10.22342/jpm.14.1.6732.81-90.

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The role of statistics is wide and crucial in daily life, making statistics important. Many students have difficulty understanding statistics. This study aims to determine students' statistical reasoning about inference statistics, which is limited to the subject matter of the testing hypotheses about two-sample hypotheses testing. This study used descriptive research method. The subjects were 25 students of third-year Mathematics Education Departement at Universitas PGRI Palembang in the academic year 2018/2019. Data were collected through tests and interviews. Data were analyzed through descriptive quantitative. The results of data analysis showed that 32% of students had level 1 statistical reasoning (the lowest level), 20% were at level 2, 28% at level 3, 12% at level 4 and 8% at level 5 (highest level). Based on the result, it can conclude that students' statistical reasoning ability in learning statistical method is not satisfactory, students are still very lacking in reasoning.
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31

Delaney, Laura. "Descriptive statistics: simply telling a story." African Journal of Midwifery and Women's Health 4, no. 1 (January 2010): 43–48. http://dx.doi.org/10.12968/ajmw.2010.4.1.46313.

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32

Delaney, Laura. "Descriptive statistics: Simply telling a story." British Journal of Cardiac Nursing 4, no. 6 (June 2009): 283–89. http://dx.doi.org/10.12968/bjca.2009.4.6.42428.

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33

Memduh; TAŞCIOĞLU, KÖSE. "Wireless device identification using descriptive statistics." Communications Faculty Of Science University of Ankara 57, no. 1 (2015): 1–10. http://dx.doi.org/10.1501/commua1-2_0000000083.

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34

Tanikawa, Takumi. "3. Descriptive Statistics and Data Visualization." Japanese Journal of Radiological Technology 68, no. 11 (2012): 1546–54. http://dx.doi.org/10.6009/jjrt.2012_jsrt_68.11.1546.

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35

Chaiyachati, Krisda H., and David Grande. "Correcting Errors That Modify Descriptive Statistics." JAMA Internal Medicine 178, no. 5 (May 1, 2018): 731. http://dx.doi.org/10.1001/jamainternmed.2018.1447.

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36

Norman, Geoffrey R., and David L. Streiner. "Descriptive statistics and the normal curve." Community Oncology 7, no. 3 (March 2010): 141–44. http://dx.doi.org/10.1016/s1548-5315(11)70010-9.

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37

Chan, Shiau Wei, Zaleha Ismail, and Bambang Sumintono. "A Refined Technology-Based Statistical Reasoning Assessment Tool in Descriptive Statistics." Advanced Science Letters 21, no. 7 (July 1, 2015): 2352–55. http://dx.doi.org/10.1166/asl.2015.6273.

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38

Frühwirth-Schnatter, Sylvia. "On statistical inference for fuzzy data with applications to descriptive statistics." Fuzzy Sets and Systems 50, no. 2 (September 1992): 143–65. http://dx.doi.org/10.1016/0165-0114(92)90213-n.

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39

Leydesdorff, Loet. "Rejoinder to Van den Besselaar's letter entitled ?Descriptive statistics, inferential statistics, rhetorical statistics?" Journal of the American Society for Information Science and Technology 54, no. 11 (2003): 1077–78. http://dx.doi.org/10.1002/asi.10310.

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40

BEYTH-MAROM, RUTH, FIONA FIDLER, and GEOFF CUMMING. "STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 7, no. 2 (November 29, 2008): 20–39. http://dx.doi.org/10.52041/serj.v7i2.468.

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Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied by somewhat separate groups of scholars, who publish in different journals. These separations impede the implementation of EBP. SC, however, integrates the facets and provides a basis for EBP in statistical practice and education. First published November 2008 at Statistics Education Research Journal: Archives
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41

BEYTH-MAROM, RUTH, FIONA FIDLER, and GEOFF CUMMING. "STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 7, no. 2 (November 29, 2008): 20–39. http://dx.doi.org/10.52041/serj.v7i2.468.

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Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied by somewhat separate groups of scholars, who publish in different journals. These separations impede the implementation of EBP. SC, however, integrates the facets and provides a basis for EBP in statistical practice and education. First published November 2008 at Statistics Education Research Journal: Archives
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42

Harmon, Robert J., GEORGE A. MORGAN, and JEFFREY A. GLINER. "CLINICIANS' GUIDE TO RESEARCH METHODS AND STATISTICS: Measurement and Descriptive Statistics." Journal of the American Academy of Child & Adolescent Psychiatry 38, no. 10 (October 1999): 1313–15. http://dx.doi.org/10.1097/00004583-199910000-00022.

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43

Chan, Shiau Wei, and Zaleha Ismail. "Developing Statistical Reasoning Assessment Instrument for High School Students in Descriptive Statistics." Procedia - Social and Behavioral Sciences 116 (February 2014): 4338–43. http://dx.doi.org/10.1016/j.sbspro.2014.01.943.

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44

Labreuche, Julien. "Variables: their graphical representations and descriptive statistics." Sang thrombose vaisseaux 32, no. 2 (April 2020): 62–69. http://dx.doi.org/10.1684/stv.2020.1111.

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45

Rudolph, Cort W., and Hannes Zacher. "Raw data + analysis code > descriptive statistics." Industrial and Organizational Psychology 14, no. 4 (December 2021): 527–30. http://dx.doi.org/10.1017/iop.2021.97.

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46

Nimon, Kim. "Secondary Data Analyses From Published Descriptive Statistics." Advances in Developing Human Resources 17, no. 1 (December 3, 2014): 26–39. http://dx.doi.org/10.1177/1523422314559805.

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47

Ho, Andrew D., and Carol C. Yu. "Descriptive Statistics for Modern Test Score Distributions." Educational and Psychological Measurement 75, no. 3 (September 15, 2014): 365–88. http://dx.doi.org/10.1177/0013164414548576.

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48

McHugh, Mary L. "Descriptive Statistics, Part I: Level of Measurement." Journal for Specialists in Pediatric Nursing 8, no. 1 (January 2003): 35–37. http://dx.doi.org/10.1111/j.1744-6155.2003.tb00182.x.

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49

Etchegaray, Jason M., and Wayne G. Fischer. "Understanding Evidence-Based Research Methods: Descriptive Statistics." HERD: Health Environments Research & Design Journal 3, no. 1 (October 2009): 111–17. http://dx.doi.org/10.1177/193758670900300110.

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50

Gaddis, Gary M., and Monica L. Gaddis. "Introduction to biostatistics: Part 2, descriptive statistics." Annals of Emergency Medicine 19, no. 3 (March 1990): 309–15. http://dx.doi.org/10.1016/s0196-0644(05)82052-9.

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