Data analysis and findings Sample Clauses

Data analysis and findings. Introduction This chapter will present the findings from the data analysis from both the online survey and semi-structured interviews that sought to understand how play was supported in state kindergartens of Xxx-Xxxxxx from the perspectives of early childhood educators. The sub-questions of the main research question explored educators’ freedom and flexibility in their teaching practices, their beliefs about play and learning, the role of the educator in play, the play environment, types of play, and opportunities provided for play. This chapter will first present the analysis of the survey data and then the analysis of the interview data, and will illustrate how these data can be triangulated against each other, as well as against selected theories mentioned in the literature review chapter.
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Data analysis and findings. Table 1 - Firms overview. All interviews were tape-recorded and then transcribed. Durations of the interviews were between one hour and one hour and a half, producing an audio material of 305 minutes in total. In addition to the interviews secondary data, such as website pages and documentations, was collected. The data were encoded and structured into “projects” using the software NVivo 10 following a grounded theory approach (Xxxxxxx 1987; Xxxxxx 1992) that aims at finding properties or links between data. The coding procedure was done as follows: first, in order to mitigate potential bias, a master student (first coder) who had not taken part in the interviews read and coded the interview transcripts by identifying text passages that included information about the constructs emerged from the literature. Following the coding of the first coder, another master student (second coder), likewise, coded the transcripts. The comparison of the two coding resulted above inter-coder reliability threshold defined by Xxxxxx (1969). The two coders then examined the mismatched coding and agreed on a final coding matrix that was used for the data analysis.

Related to Data analysis and findings

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall 45th-day FTSE inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Data Quality 4.1 Each party ensures that the shared Personal Data is accurate.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • SERVICE MONITORING, ANALYSES AND ORACLE SOFTWARE 11.1 We continuously monitor the Services to facilitate Oracle’s operation of the Services; to help resolve Your service requests; to detect and address threats to the functionality, security, integrity, and availability of the Services as well as any content, data, or applications in the Services; and to detect and address illegal acts or violations of the Acceptable Use Policy. Oracle monitoring tools do not collect or store any of Your Content residing in the Services, except as needed for such purposes. Oracle does not monitor, and does not address issues with, non-Oracle software provided by You or any of Your Users that is stored in, or run on or through, the Services. Information collected by Oracle monitoring tools (excluding Your Content) may also be used to assist in managing Oracle’s product and service portfolio, to help Oracle address deficiencies in its product and service offerings, and for license management purposes.

  • Information Technology Accessibility Standards Any information technology related products or services purchased, used or maintained through this Grant must be compatible with the principles and goals contained in the Electronic and Information Technology Accessibility Standards adopted by the Architectural and Transportation Barriers Compliance Board under Section 508 of the federal Rehabilitation Act of 1973 (29 U.S.C. §794d), as amended. The federal Electronic and Information Technology Accessibility Standards can be found at: xxxx://xxx.xxxxxx-xxxxx.xxx/508.htm.

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