Data processing and analysis Sample Clauses

Data processing and analysis. In qualitative studies, data processing and analysis is a fundamental step in the research process. The analysis of the collected data covers narrative—the accounts of related events, the identification of critical aspects of the data, and how the data is organized and presented (Xxxxxxxx 2009). This analysis allows the researcher to interpret the data to address the research questions and present conclusions (Xxxxxxxx 2009). Methods used in qualitative studies help decode the meanings people ascribe to their experiences and opinions (Xxxxx 2002). The inclusion of multiple voices by incorporating different instruments in qualitative research contributes to a better understanding of people’s realities. The present study largely depended on gathering information from the people who volunteered to participate by completing surveys and interviews based on their availability and not on a random sample; therefore, it was considered unnecessary to use specialized software for the management of the data. As information was collected and processed, the following categories were identified for analysis: collections, surveys, interviews, and participant observation notes. The numerical data generated through the survey administration was processed and analyzed using Microsoft Excel 2016, and the narratives and text-based information were processed in Microsoft Word 2016. As data analysis requires data reduction, display, and elaboration of conclusion and verification (Miles and Xxxxxxxx 1994), the organization of files by theme helped in the analytical process. Printed information from these files was analyzed and sorted thematically for evaluation, and conclusions were drawn to address the research questions. A review of archival data, collection inventories, and legislative texts were undertaken in order to determine when heritage issues first began appearing in public records. The review of historical documents regarding the creation of the first national museum and how archaeological finds were reported also formed part of the analysis of documents. This analysis was done to reconstruct the trajectory of the primary collection of Indigenous archaeological heritage from its foundation to its current status of the most extensive collection in a public building. All the data generated by the analysis of documents, interviews, surveys, and participant observation was part of the process of connecting data. The identification of trends, patterns, and themes, and the r...
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Related to Data processing and analysis

  • DATA COLLECTION AND ANALYSIS The goal of this task is to collect operational data from the project, to analyze that data for economic and environmental impacts, and to include the data and analysis in the Final Report. Formulas will be provided for calculations. A Final Report data collection template will be provided by the Energy Commission. The Recipient shall: • Develop data collection test plan. • Troubleshoot any issues identified. • Collect data, information, and analysis and develop a Final Report which includes: o Total gross project costs. o Length of time from award of bus(es) to project completion. o Fuel usage before and after the project.

  • 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 Full-Time Student Equivalent (FFTE) 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 Processing In this clause:

  • Details of Data Processing (a) Subject matter: The subject matter of the data processing under this DPA is the Customer Data.

  • Data Processing Agreement The Data Processing Agreement, including the Approved Data Transfer Mechanisms (as defined in the Data Processing Agreement) that apply to your use of the Services and transfer of Personal Data, is incorporated into this Agreement by this reference. Each party will comply with the terms of the Data Processing Agreement and will train its employees on DP Law.

  • Data Processing Addendum The parties’ agreement with respect to the processing of personal information submitted to the Subscription Service is described in the Data Processing Addendum attached to this Subscription Service Guide as Exhibit A.4 and incorporated herein by reference. The Data Processing Addendum may be updated periodically.

  • Program Monitoring and Evaluation (c) The Recipient shall prepare, or cause to be prepared, and furnish to the Association not later than six months after the Closing Date, a report of such scope and in such detail as the Association shall reasonably request, on the execution of the Program, the performance by the Recipient and the Association of their respective obligations under the Legal Agreements and the accomplishment of the purposes of the Financing.”

  • 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.

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • COMPENSATION ANALYSIS After the expiration of the second (2nd) Renewal Term of this Agreement, if any, a Compensation Analysis may be performed. At such time, based on the reported Total Gross Revenue, performance of the Concession, and/or Department’s existing rates for similarly- performing operations, Department may choose to increase the Concession Payment for the following Renewal Term(s), if any.

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