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  1. Mar 2019
    1. The Relationship of Study Anxiety and Academic Performance The Pearson correlation examines the relationship between study anxiety and academic performance. The result show mean and standard deviation of STAI (M=95.53; SD=12.008) and GPA (M=2.18; SD=0.250), a significant correlation (p=0.000), the correlation coefficient is small with r=-.264, and finally the sample size yield n=205.Study anxiety is negatively related to academic performance with a Person correlation coefficient was small. Nonetheless, the result proven that students who have high anxiety levels achieve low academic performance with anxiety level > 95 and academic performance < 2.50. Therefore, it can be concluded that there is a significant relationship between high level anxiety and low academic performance among engineering students. Consistently result with previous studies found a negative correlation between high levels of anxiety and low academic performance (Soler, 2005 and McCraty, 2007). In otherwise, El-Anzi (2005) describes a positive relationship between high degrees of academic achievement and low anxiety. Small of coefficient correlation is linked with the small of sample size yield seventy participants. Others expressed the opinion that the high level of anxiety will be associated with low academic performance (Luigi et al., 2007, and Sena et al., 2007). The finding support with McCraty (2000) where anxiety plays significant role in student's learning and academic performance, moreover it was revealed that a high facilitating achievement anxiety was related to low debilitating achievement anxiety. Similar statement cites to support the finding a fair number of engineering students that there are many situations which it is appropriate and reasonable to counter with some anxiety. That they may not find jobs in the future, express these feelings with ambivalence, confusion, lack of confidence and worry (Ercan et al., 2008). Researchers generally agree that high level anxiety will construct of low academic performance. Table 4 present the finding as follows
    2. Procedure The test aimed to find the relationship of study anxiety and academic performance among engineering students. Immediately participants giving a test, testing also aims to select trainees who have been identified in high anxiety and low academic performance were to participate in this training. The participants came to the lab and fill in the questionnaire include the S-Anxiety scale (STAI Form Y-1) and T-Anxiety scale (STAI Form Y-1). The STAI has 40 items of question and took approximately 20 minutes to complete. The students first read and answered if they had problems the researcher will guide students to answer the questions. This test was based on the faculty, after two weeks who have high levels of anxiety and low academic performance were offered to participate in this study. Result of the test was used to find out correlation between anxiety and academic performance.

      The authors explain the steps and procedures of the study and gives information about the way the research experiment will be executed. This is primary evidence as it is new information formulated and analysed by the authors to generate useful outcomes.

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  2. Dec 2018
  3. www.lexisnexis.com www.lexisnexis.com
    1. Primary SourcesA document that establishes the law on a particular issue, such as a case decision or legislative act
  4. Oct 2016
    1. In Wall-E and the Toy Storytrilogy, the pleasure is of the suspen-sion of knowledge—the pleasure of notknowing.
    2. One of the distinct pleasures in Pixar’s films is the pleasure of seeing the deepest of human struggles, timeless philosophical questions projected in and through remote forms of representation.
  5. Aug 2016
    1. Page 122

      Borgman on terms used by the humanities and social sciences to describe data and other types of analysis

      humanist and social scientists frequently distinguish between primary and secondary information based on the degree of analysis. Yet this ordering sometimes conflates data, sources, and resources, as exemplified by a report that distinguishes "primary resources, E. G., Books close quotation from quotation secondary resources, eat. Gee., Catalogs close quotation . Resources also categorized as primary or sensor data, numerical data, and field notebooks, all of which would be considered data in the sciences. Rarely would books, conference proceedings, and feces that the report categorizes as primary resources be considered data, except when used for text-or data-mining purposes. Catalogs, subject indices, citation indexes, search engines, and web portals were classified as secondary resources. These are typically viewed as tertiary resources in the library community because they describe primary and secondary resources. The distinctions between data, sources, and resources very by discipline and circumstance. For the purposes of this book, primary resources are data, secondary resources are reports of research, whether publications or intern forms, and tertiary resources are catalogs, indexes, and directories that provide access to primary and secondary resources. Sources are the origins of these resources.

    2. Page 10

      Borgman on the merging of primary and secondary information sources .

      primary and secondary information sources long to be treated as a dichotomy, with different strands of research on each. Sociologist of science study the context in which primary data are produced, or primary archivists are concerned with how those that are captured, managed, and preserved. Researchers in the field of information studies and communication investigate how scholarly publications are written, disseminated, sought, used, and reference. Librarians select, collect, organize, conserve, preserve, and provide access to scholarly publications and print and digital form. Little research has explored the continuum from primary to secondary sources, much less the entire lifecycle from data generation through the preservation of scholarly products that set those data in context.

  6. Jul 2016
    1. Page 10

      little research has explored the Continuum from primary to secondary sources, much less the entire life cycle from data generation through the preservation of the scholarly products that set those data in context.

      More from Borgman on the gradual collapsing of primary and secondary sources

    2. p. 8-actually this is link to p. 7, since 8 is excluded

      Another trend is the blurring of the distinction between primary sources, generally viewed as unprocessed or unanalysed data, and secondary sources that set data in context.

      Good point about how this is a new thing. On the next page she discusses how we are now collpasing the traditional distinction between primary and secondary sources.