Techniques of Data Analysis Sample Clauses

Techniques of Data Analysis. This research used qualitative data, therefore it analyzed by using technique of analysis of descriptive. The of preparing data in participant observation to obtained from observing record in the primer of the data was about record, and then using contexts of interview to give question for students. The preparation done to be understood by a researcher. Data analysis was done by making conclusions that can be let to other people. There were four steps in data analysis from Sugiyono :
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  • 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

  • Protocols Each party hereby agrees that the inclusion of additional protocols may be required to make this Agreement specific. All such protocols shall be negotiated, determined and agreed upon by both parties hereto.

  • Data To permit evaluation of requests under paragraph (c) of this clause based on unreasonable cost, the Contractor shall include the following information and any applicable supporting data based on the survey of suppliers: Foreign and Domestic Construction Materials Cost Comparison Construction material description Unit of measure Quantity Cost (dollars) * Item 1: Foreign construction material Domestic construction material Item 2 Foreign construction material Domestic construction material [List name, address, telephone number, and contact for suppliers surveyed. Attach copy of response; if oral, attach summary.] [Include other applicable supporting information.] (*Include all delivery costs to the construction site.]

  • 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.

  • Sources of Data A full description of documentation and other information, if applicable, relied upon by the IRO in performing the Transactions Review.

  • Templates The Applicant shall use Templates provided by Alberta Innovates to comply with its Required Reporting Metrics, Reports obligations, and with the Survey requirements. Because the Reports may contain technical or proprietary information about the Project or the Applicant, the Templates will specify when a section will be considered non-confidential. The content of sections that are marked as non-confidential can be disclosed in the public domain. All other sections will be considered confidential, and thus can only be disclosed to the Government of Alberta and to Funding Partners, if any, in confidence, but to no other party.

  • Research Use Reporting To assure adherence to NIH GDS Policy, the PI agrees to provide annual Progress Updates as part of the annual Project Renewal or Project Close-out processes, prior to the expiration of the one (1) year data access period. The PI who is seeking Renewal or Close-out of a project agree to complete the appropriate online forms and provide specific information such as how the data have been used, including publications or presentations that resulted from the use of the requested dataset(s), a summary of any plans for future research use (if the PI is seeking renewal), any violations of the terms of access described within this Agreement and the implemented remediation, and information on any downstream intellectual property generated from the data. The PI also may include general comments regarding suggestions for improving the data access process in general. Information provided in the progress updates helps NIH evaluate program activities and may be considered by the NIH GDS governance committees as part of NIH’s effort to provide ongoing stewardship of data sharing activities subject to the NIH GDS Policy.

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

  • Technical Requirements for SCPs/Databases 10.5.3.1 BellSouth shall provide physical access to SCPs through the SS7 network and protocols with TCAP as the application layer protocol.

  • 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.

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