Relevant bibliographies by topics / Content Analysis

Academic literature on the topic 'Content Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "Content Analysis"

Schäfer, Markus, and Catharina Vögele. "Content Analysis as a Research Method: A Content Analysis of Content Analyses in Sport Communication." International Journal of Sport Communication 14, no. 2 (June 1, 2021): 195–211. http://dx.doi.org/10.1123/ijsc.2020-0295.

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Content analysis is a popular method in communication and media research. However, to what extent and in which contexts it is used in sport communication research has hardly been investigated. In order to provide empirically grounded insight, the authors conducted a quantitative content analysis of scholarly journal articles using content analysis as a research method, focusing on three major international sport communication journals during the 10 years between 2010 and 2019 (N = 267). Results indicate that qualitative and quantitative methods are used equally while combinations with other methods are comparatively rare. The studies cover a broad portfolio of different topics. Social media as communication channels becomes an increasingly central issue of scientific exploration. Although the studies deal with 31 different sports in total, most of them focus on popular team sports such as football, basketball, soccer, baseball, and ice hockey.

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Dimitrova, N. "Context and memory in multimedia content analysis." IEEE MultiMedia 11, no. 3 (July 2004): 7–11. http://dx.doi.org/10.1109/mmul.2004.6.

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Twycross, Alison, and Linda Shields. "Content analysis." Paediatric Nursing 20, no. 6 (July 24, 2008): 38. http://dx.doi.org/10.7748/paed.20.6.38.s27.

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Allen-Meares, Paula. "Content Analysis." Journal of Social Service Research 7, no. 4 (March 29, 1985): 51–68. http://dx.doi.org/10.1300/j079v07n04_04.

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Cole, Frank L. "Content Analysis." Clinical Nurse Specialist 2, no. 1 (1988): 53–57. http://dx.doi.org/10.1097/00002800-198800210-00025.

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Danju, Ipek, and Huseyin Uzunboylu. "A content analysis of citizenship education." New Trends and Issues Proceedings on Humanities and Social Sciences 2, no. 2 (January 12, 2016): 170–76. http://dx.doi.org/10.18844/gjhss.v2i2.440.

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Petkova, Lilyana, and Vasilisa Pavlova. "Security Analysis on Content Management Systems." Mathematics and Informatics LXV, no. 5 (October 28, 2022): 423–34. http://dx.doi.org/10.53656/math2022-5-2-sec.

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This paper is dedicated to the challenges of the use of the most popular content management systems (CMS) in software development. Fundamental information about the selected CMS platforms and vulnerability analysis are introduced. The review is made on CMS like Umbraco, Sitecore, WordPress and Drupal categorized in two groups defined by the technology used for development. And as the IT world changes a lot these brings one constant battle against threats. Therefore, this article will add some vulnerabilities analysis of the selected systems since 2014. Results were grouped by common vulnerabilities of the selected platforms and such specific ones.

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Kim, Min Sung, Seongcheol Kim, Hyoung-Jee Kim, and Junghwan Kim. "Competitive analysis between mobile content: Focusing on the context of content consumption." Journal of Digital Contents Society 23, no. 3 (March 31, 2022): 433–42. http://dx.doi.org/10.9728/dcs.2022.23.3.433.

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C. S., Biriowu,, and Chris Biriowu. "Content Analysis: A Reevaluation Of Known Parameters." American Journal of Management and Economics Innovations 03, no. 02 (February 10, 2021): 17–24. http://dx.doi.org/10.37547/tajmei/volume03issue02-02.

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In Nigeria, the majority of content analysis research tends to tilt towards the dominant quantitative method. This technique now seems overly used, overspent, and unoriginal. This paper reviews content analysis as an empirical research method that is used to study the content of text in order to make inferences that are based on findings. The plethora of quantitative content analysis research writings are predominantly on the study of newspapers with research objectives that rotate around depth, direction, frequency and prominence. This paper in a bid to critique this overly used method of writing, provided description of Content Analysis as a research method, explained the goals/objectives of content analysis as well as underscored the various qualitative methodological types. Furthermore, the uses of content analysis in relation to text were explained. This paper concluded that the content analysis research method is under-used and that there is an abundance of communication branches where the research method needs to be applied.

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Akhmedov, Olim Neymatovich. "Models Of State Sports Policy (Content Analysis)." American Journal of Social Science and Education Innovations 02, no. 11 (November 30, 2020): 389–94. http://dx.doi.org/10.37547/tajssei/volume02issue11-65.

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In order to determine the limits of state intervention in the field of physical culture and sports, it is necessary to study the model of the relationship between the state and sports. This article also examines interventionist, non-interventionist, and mixed models in the implementation of public sports policy. It also analyzes the problems of state and non-state sports, the fact that despite the parallel existence of state and non-state sports, regardless of the sources and nature of funding, they are the object of public policy.

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Dissertations / Theses on the topic "Content Analysis"

Wang, Weize. "A Content Analysis of Reliability in Advertising Content Analysis Studies." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etd/1375.

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Content analysis is a systematic research method for examining symbolical content in communication by recording or transcribing these messages into categories. Reliability is one of the most distinctive attributes of content analysis methodology comparing to other techniques in communication. A content analysis was conducted by analyzing the method sections of published journal articles in Communication Abstracts from January 2006 through January 2011 by searching "advertising" and "content analysis". Results suggested that television is still the most focused medium in advertising content analysis research. Most of the content analysis studies employed 2 coders for coding reliability assessment data and final data. Moreover, content analysis researchers had improved in reporting reliability and reliability coefficients. However, there was a low percentage of studies that reported specific reliability for each variable as well as the lowest acceptable level for the reliability coefficients.

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King, John D. "Search engine content analysis." Queensland University of Technology, 2008. http://eprints.qut.edu.au/26241/.

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Search engines have forever changed the way people access and discover knowledge, allowing information about almost any subject to be quickly and easily retrieved within seconds. As increasingly more material becomes available electronically the influence of search engines on our lives will continue to grow. This presents the problem of how to find what information is contained in each search engine, what bias a search engine may have, and how to select the best search engine for a particular information need. This research introduces a new method, search engine content analysis, in order to solve the above problem. Search engine content analysis is a new development of traditional information retrieval field called collection selection, which deals with general information repositories. Current research in collection selection relies on full access to the collection or estimations of the size of the collections. Also collection descriptions are often represented as term occurrence statistics. An automatic ontology learning method is developed for the search engine content analysis, which trains an ontology with world knowledge of hundreds of different subjects in a multilevel taxonomy. This ontology is then mined to find important classification rules, and these rules are used to perform an extensive analysis of the content of the largest general purpose Internet search engines in use today. Instead of representing collections as a set of terms, which commonly occurs in collection selection, they are represented as a set of subjects, leading to a more robust representation of information and a decrease of synonymy. The ontology based method was compared with ReDDE (Relevant Document Distribution Estimation method for resource selection) using the standard R-value metric, with encouraging results. ReDDE is the current state of the art collection selection method which relies on collection size estimation. The method was also used to analyse the content of the most popular search engines in use today, including Google and Yahoo. In addition several specialist search engines such as Pubmed and the U.S. Department of Agriculture were analysed. In conclusion, this research shows that the ontology based method mitigates the need for collection size estimation.

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Lidén, Jonas. "Distributed Video Content Analysis." Thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99062.

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Video Content Analysis (VCA) is usually computationally intense and time consuming. In this thesis the efficiency of VCA is increased by implementing a distributed VCA architecture. Automatic speech recognition is used as a case study to evaluate how the efficiency of VCA can be increased by distributing the workload across several machines. The system is to be run on standard desktop computers and need to support a variety of operating systems. The developed distributed system is compared to a serial system in use today. The results show increased performance, at the cost of a small increase in error rate. Two types of load balancing algorithms, static load balancing and dynamic load balancing, is evaluated in order to increase system throughput and it is concluded that the dynamic algorithm outperforms the static algorithm when running on a heterogeneous set of machines and that the differences are negligible when running on a homogeneous set of machines.

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King, John Douglas. "Search engine content analysis." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/26241/1/John_King_Thesis.pdf.

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Hosoya, Masao. "Computer aided newspaper content analysis." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28055.

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This thesis explores issues concerning computer aided content analysis for newspaper articles. Articles relevant to the Japan Air Self Defense Force's new fighter support jet (code named FSX) were collected from three newspapers in the U.S. and Japan. These data were downloaded and stored in a PC then analyzed using word processing software. At the same time, three articles were selected and distributed, along with relevant survey questions, to over 150 people. The survey was intended to examine the readers' responses to those articles. The results from the questionnaire and computer aided content analysis were analyzed, summarized and compared. These complementary studies were conducted to help determine whether computer aided content analysis could identify the information and impressions conveyed by these newspaper articles. The results of this complementary effort indicate that additional work is needed, particularly in software development, to make computer aided content analysis more useful. However, the results also showed the complexities of conveying and interpreting information. Content Analysis, U.S./Japan relationship, FSX

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CURZI, MIRCO. "Content based social network analysis." Doctoral thesis, Università Politecnica delle Marche, 2009. http://hdl.handle.net/11566/242305.

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Sun, Tao. "Product Context Analysis with Twitter Data." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13526.

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Context. For the product manager, the product context analysis, which aims to align their products to the market needs, is very important. By understanding the market needs, the product manager knows the product context information about the environment the products conceived and the business the products take place. The product context analysis using the product context information helps the product manager find the accurate position of his/her products and support the decision-making of the products. The product context information generally could be found in the user feedbacks. And the traditional techniques of acquiring the user feedbacks can be replaced by collecting the existed online user feedbacks with a cheaper cost. Therefore, researchers did studies on the online user feedbacks and the results showed those user feedbacks contain the product context information. Therefore, in this study, I tried to elicit the product context information from the user feedbacks posted on Twitter. Objectives. Objectives of this study are 1. I investigated what kinds of Apps can be used to collect more related Tweets, and 2. I investigated what kinds of product context information can be elicited from the collected Tweets. Methods. To achieve the first objective, I designed unified criteria for selecting Apps and collecting App-related Tweets, and then conduct the statistical analysis to find out what is/are the factor(s) affect (s) the Tweets collection. To achieve the second objective, I conducted the directed content analysis on the collected Tweets with an indicator for identifying the product context information, and then make a descriptive statistical analysis of the elicited product context information. Results. I found the top-ranked Apps or Apps in few themes like “Health and Fitness” and “Games” have more and fresher App-related Tweets. And from my collected Tweets, I can elicit at least 15 types of product context information, the types include “user experience”, “use case”, “partner”, “competitor”, “platforms” and so on. Conclusions. This is an exploratory study of eliciting product context information from the Tweets. It presented the method of collecting the App-related Tweets and eliciting product context information from the collected Tweets. It showed what kinds of App are suitable to do so and what types of product context information can be elicited from the Tweets. This study let us be aware of that the Tweets can be used for the product context analysis, and let us know the appropriate condition to use the Tweets for the product context analysis.

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Mårtensson, Christoffer. "Content analysis of underlying outsourcing motives." Thesis, Uppsala University, Department of Business Studies, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126803.

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Outsourcing has over the years become more important when organizations increasingly focus to become best-in-class within their specific area. With this goal, outsourcing may be used to support core activities or dispose of activities judged as non-core for the organization. With these different ways to apply outsourcing, outsourcing may be used with various motives depending on the organizations goal. To better understand these motives, the aim of this paper is to acquire a deeper understanding of underlying motives organizations may have prior to make an outsourcing decision. This study is carried out through a content analysis of press releases published between 2005 and 2010. The results reveal three mayor motives that appear with a higher frequency in the study. These are; motives to gain competence/technology, motives to gain quality and motives to gain a higher flexibility.

Outsourcing har de senaste åren ökat i signifikans då organisationerna hela tiden flyttar fokus mot att nå en best-in-class position på marknaden. Med det målet kan outsourcing användas för att stödja kärnverksamhet eller för att avyttra aktiviteter som bedöms ej tillhöra kärnverksamheten. Dessa olika sätt att tillämpa outsourcing beror på organisationens bakomliggande motiv vad gällande mål med den outsourcade aktiviteten. Målet med denna studie är att öka förståelsen för de bakomliggande motiv som leder till ett outsourcing beslut. Studien är utformad som en kvantitativ innehållsanalys av publicerade pressmeddelanden mellan åren 2005 och 2010. Resultaten visar på tre motiv som uppträder med en högre frekvens i studien. Dessa motiv ämnar till att få; tillgång till kompetens/teknologi, erhålla högre kvalitet samt till att ge den egna organisationen en högre flexibilitet.

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Flaounas, Ilias. "Pattern analysis of news media content." Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547830.

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Lai, Po-yan, and 賴寶欣. "Relationship analysis for web content adaptation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/197531.

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The use of mobile devices to access the World Wide Web is becoming more prevalent. When browsing webpages on small-screen devices, it is difficult to locate information of interest since the limited screen space can be fully packed with information. Also, browsing Web tables on small-screen devices is a non-trivial problem. To fit a large table in a small-screen device, the association between data values and their corresponding headers may be disrupted. It is difficult to locate information accurately if the data meanings are lost. For visually impaired users, the problem is even more challenging. Sequential presentation of the webpage by a screen reader is too time-consuming if the information of interest is placed at or near the end of the webpage. Therefore, there is a need to re-organize useful information in webpages in order to enhance information finding on small-screen devices. In this thesis, various adaptations are proposed by exploring and exploiting relationships between Web elements in the webpage. In the current literature, some proposed heuristics are based on specific HTML elements, which cannot be generalized. Some other algorithms assume a correct DOM structure, which would fail if the webpage is not properly marked up. Many algorithms extract blocks without assigning them the proper titles. A gap needs to be filled, such that extracted blocks will be given a proper title through exploring the relationships between semantic elements. In this thesis, I propose to integrate relationship analysis and DOM-tree structure traversal for identifying logical sections together with their section headings. By extracting all the section headings, a table of content can be constructed to provide direct access to interested sections in an efficient way. Relationship analysis is a critical complement to the DOM structure for identifying the semantic content hierarchy when a webpage is not properly marked up. By exploring relationships between table cells, the structure of an unstructured Web table can be extracted. The semantic meanings of the data values are retained by preserving the data values and their corresponding headers. A novel way of accessing a webpage, which converts the page itself and its Web table into menu-based presentation, is then proposed. Converting the webpage into an Interactive Voice Response System introduces yet another mode of access which can enhance the accessibility of the webpage. In addition to improving mobile accessibility, the proposed adaptations can also benefit the visually impaired users. Experiments show that the average effectiveness and efficiency of adaptation with direct access are improved by 18% and 15% respectively, which are clearly better than the case without adaptation. Also, by adapting the Web table into a series of menu pages, the effectiveness and efficiency are improved by 61% and 37% respectively. For the evaluations with visually impaired users, the adaptation with direct access can greatly improve efficiency by 85%. Some complicated Web tables in fact could not be properly interpreted by visually impaired users; the Web table adaptation makes them accessible. Information finding indeed becomes more efficient and effective when using the adapted versions.
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Doctor of Philosophy

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Books on the topic "Content Analysis"

Franzosi, Roberto. Content Analysis. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2008. http://dx.doi.org/10.4135/9781446271308.

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Roberto, Franzosi, ed. Content analysis. London: SAGE Publications, 2008.

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Roberto, Franzosi, ed. Content analysis. London: SAGE Publications, 2008.

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Roberto, Franzosi, ed. Content analysis. London: SAGE Publications, 2008.

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Basic content analysis. Beverly Hills: Sage Publications, 1985.

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Basic content analysis. 2nd ed. Newbury Park, Calif: Sage Publications, 1990.

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Ohm, Jens. Multimedia Content Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52828-0.

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Divakaran, Ajay, ed. Multimedia Content Analysis. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-76569-3.

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Weber, Robert. Basic Content Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1990. http://dx.doi.org/10.4135/9781412983488.

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Klaus, Krippendorff, and Bock Mary Angela, eds. The content analysis reader. Thousand Oaks: Sage Publications, 2009.

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Book chapters on the topic "Content Analysis"

Getto, Guiseppe, Jack T. Labriola, and Sheryl Ruszkiewicz. "Audience Analysis." In Content Strategy, 35–56. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003164807-3.

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Zeisel, Hans, and David Kaye. "Content Analysis." In Prove It with Figures, 121–34. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1824-1_8.

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Zaidman-Zait, Anat. "Content Analysis." In Encyclopedia of Quality of Life and Well-Being Research, 1258–61. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_552.

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Mukherjee, S. P., Bikas K. Sinha, and Asis Kumar Chattopadhyay. "Content Analysis." In Statistical Methods in Social Science Research, 29–37. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2146-7_3.

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Hansen, Anders, Simon Cottle, Ralph Negrine, and Chris Newbold. "Content Analysis." In Mass Communication Research Methods, 91–129. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-26485-8_5.

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Fallon, Marianne. "Content Analysis." In Writing up Quantitative Research in the Social and Behavioral Sciences, 123–34. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-609-5_9.

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Banchs, Rafael E. "Content Analysis." In Text Mining with MATLAB®, 313–47. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4151-9_12.

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Boyle, Michael P., and Mike Schmierbach. "content analysis." In Applied Communication Research Methods, 286–304. Second edition. | New York: Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9780429296444-11.

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Franzosi, Roberto. "Content analysis." In The Routledge Handbook of Language and Politics, 153–68. Milton Park, Abingdon, Oxon; New York, NY: Routledge, [2017] |: Routledge, 2017. http://dx.doi.org/10.4324/9781315183718-13.

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Hermann, Margaret G. "Content Analysis." In Qualitative Methods in International Relations, 151–67. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230584129_10.

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Conference papers on the topic "Content Analysis"

Aisopos, Fotis, George Papadakis, Konstantinos Tserpes, and Theodora Varvarigou. "Content vs. context for sentiment analysis." In the 23rd ACM conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2309996.2310028.

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Opitz, Juri, and Anette Frank. "Dissecting Content and Context in Argumentative Relation Analysis." In Proceedings of the 6th Workshop on Argument Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-4503.

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Ting, I.-Hsien, Shyue-Liang Wang, Hsing-Miao Chi, and Jyun-Sing Wu. "Content matters." In ASONAM '13: Advances in Social Networks Analysis and Mining 2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2492517.2500254.

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Zhang, Lei, and Qi Tian. "Multimedia content analysis." In the seventeen ACM international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1631272.1631446.

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Iordanou, Costas, Nicolas Kourtellis, Juan Miguel Carrascosa, Claudio Soriente, Ruben Cuevas, and Nikolaos Laoutaris. "Beyond content analysis." In CoNEXT '19: The 15th International Conference on emerging Networking EXperiments and Technologies. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3359989.3365428.

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Hasbullah, Siti Salwa, Diana Maynard, Rita Zaharah Wan Chik, Farahwahida Mohd, and Myzan Noor. "Automated Content Analysis." In IMCOM '16: The 10th International Conference on Ubiquitous Information Management and Communication. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2857546.2857577.

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"Content." In 2009 16th IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA). IEEE, 2009. http://dx.doi.org/10.1109/ipfa.2009.5232741.

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Natsev, Apostol. "Session details: Content 1 - content analysis applications." In MM07: The 15th ACM International Conference on Multimedia 2007. New York, NY, USA: ACM, 2007. http://dx.doi.org/10.1145/3258966.

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Satyanagara, Ariph, and Isti Surjandari. "Content Analysis and Spatial Analysis." In the International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3134271.3134286.

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Boll, Susanne, Dick Bulterman, Ramesh Jain, Tat-Seng Chua, Rainer Lienhart, Lynn Wilcox, Marc Davis, and Svetha Venkatesh. "Between context-aware media capture and multimedia content analysis." In the 12th annual ACM international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1027527.1027727.

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Reports on the topic "Content Analysis"

Orchard, Michael, and Robert Joyce. Content Analysis of Video Sequences. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada414069.

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Paslavskyi, Ihor. Ukrainian television: problem-content analysis. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11397.

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The article highlights and analyzes the factors influencing the activities of television editorial teams in the period of new political, economic and security circumstances. It is noted that all-Ukrainian influential television channels, which have the highest popularity and high ratings, are oligarchic media with a high level of political involvement. Ukrainian television is widely practicing to narrow the thematic range of programs, reports and programs resulting in unjustified dominance in the television space of entertainment and humorous genres, «ravel journalism», excessive overweight of foreign programs and of obsolete quality film production. In the news programs, some TV companies, including 1 + 1, widely emphasize negative issues that are not typical of Ukrainian society, which often has a petty, urban and secondary status. Instead, a wide range of real, socially important, topical issues and problems remain out of the professional attention of journalists, analysts and experts. Guided only by the criterion of rating programs, programs, stories, topics and problems, TVs lose the most active segment among the audience – critical thinking, knowledgeable, erudite recipient, who, choosing an information resource, increasingly prefers the internet journalism.

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Sanfilippo, Antonio P. Content Analysis for Proactive Protective Intelligence. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1015284.

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Chang, Jae Youn, and Wi-Suk Kwon. Content Analysis of Scarcity Promotional Messages. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-645.

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Meacham, Janette. Knowledge Management Analysis for Content Migration. Office of Scientific and Technical Information (OSTI), October 2021. http://dx.doi.org/10.2172/1855005.

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Ueno, Kohta. Analysis of Joint Masonry Moisture Content Monitoring. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1223631.

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Ueno, Kohta. Analysis of Joist Masonry Moisture Content Monitoring. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1226468.

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Bengston, David N., and Zhi Xu. Changing National Forest Values: a content analysis. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station, 1995. http://dx.doi.org/10.2737/nc-rp-323.

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Schaffer, C. L. Analysis of soil and water for TATB content. Office of Scientific and Technical Information (OSTI), November 1992. http://dx.doi.org/10.2172/10138438.

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Oser, Randall L., Carolyn Prince, Ben B. Morgan, Simpson Jr., and Steven S. An Analysis of Aircrew Communication Patterns and Content. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada246618.

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