Data Preparation and Analysis Sample Clauses

Data Preparation and Analysis. While in country all interviews were transcribed verbatim by a research assistant in Spanish. This was done to preserve the implications and richness of the data collected. All audio files recorded from interviews and focus groups were re-labeled by numerical audio codes to de- identify the participant. In addition, all transcripts were further de-identified by the researcher to protect the privacy of each participant and to maintain confidentiality. Upon her return, the researcher cleaned and de-identified all data prior to utilizing MAXQDA version 10 to code and analyze the data further (VERBI, 2011). The researchers involved in the larger project and their advisor worked closely to develop a codebook encompassing important themes that were present in the data. Researchers coded several interviews and compared results in order to edit codes and code definitions until they were agreed upon. The researchers completed several rounds of coding and editing code definitions before the codebook was finalized. Researchers then coded their own data individually by applying each of the 18 developed codes to all interviews and group discussions. The full codebook is presented in Appendix 5. After coding the interviews with fathers, the researcher systematically retrieved all coded segments by each individual code to begin analysis. The researcher analyzed each code individually by reading and summarizing all of the coded segments in each code and further sorting data into dimensions under each theme. Direct quotes from participants as well as summarized themes from each code were then compiled to develop results. The researcher translated all direct quotes verbatim from Spanish to English, and developed pseudonyms for each participant to protect his identity in the results.
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Data Preparation and Analysis. All interviews were recorded using a recording application on a password-locked device. After reviewing the recordings, the interviews were transcribed verbatim using Microsoft Word and MAXQDA Pro Analytics. An initial codebook was developed in Microsoft Word using a deductive approach —common themes that were likely to appear within the data were based off literature review findings. After this initial codebook was developed, the codebook was tested on a single transcript from each of the “exerciser” and “non-exerciser” groups by using MAXQDA Pro Analytics’ coding mechanisms. Inductive codes were then added based on this trial coding and subsequent transcripts. Excessive codes were discarded as needed to streamline the process and develop a final codebook (see appendices). In total, 24 interviews were examined and coded. This data was stratified into two groups: 16 “exercisers” and 8 “non-exercisers”. After all transcripts were coded, coding was reviewed and reconciled codes to ensure accuracy. Two MAXQDA visualization features aided in performing thematic analysis: Coded Matrix Browser and MAXMaps. The Coded Matrix Browser allowed the researcher to view multiple documents and their coding frequency patterns. MAXMaps was used to view the relationship between codes and subcodes. These visualizations aided in the analysis, allowing the following themes to be characterized: perception about hair; perception about exercise; hair as a barrier to exercise; and methods to overcome hair as barrier to exercise. Relevant quotes were identified to emphasize these themes. Ethical Considerations The researcher acquired Collaborative Institutional Training Initiative (CITI) certification before designing and conducting this study. This study was reviewed and approved by Emory’s IRB for human subjects research. Any participant who desired to withdraw from the study could do so at any time. Participants were free to refuse any procedures such as having their BMI measured or answering any questions. Participants also had the right to prevent their research information from being used in the final project. To avoid issues of coercion, participants were told that they could withdraw from the study or refuse any parts of the study without forfeiting their $5 cash incentive. RESULTS‌

Related to Data Preparation 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

  • Justification and Anticipated Results The Privacy Act requires that each matching agreement specify the justification for the program and the anticipated results, including a specific estimate of any savings. 5 U.S.C. § 552a(o)(1)(B).

  • 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.

  • 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.

  • Search, Enquiry, Investigation, Examination And Verification a. The Property is sold on an “as is where is basis” subject to all the necessary inspection, search (including but not limited to the status of title), enquiry (including but not limited to the terms of consent to transfer and/or assignment and outstanding charges), investigation, examination and verification of which the Purchaser is already advised to conduct prior to the auction and which the Purchaser warrants to the Assignee has been conducted by the Purchaser’s independent legal advisors at the time of execution of the Memorandum.

  • Financial Stability The Contractor shall meet and comply with all requirements located in Title 27, Articles 1 through 15, of the Indiana Code. This includes, but is not limited to, the requirements pertaining to financial solvency, reinsurance and policy contracts, as well as administration of these processes. FSSA and the Indiana Department of Insurance (IDOI) will monitor the Contractor’s financial performance. FSSA will include IDOI findings in their monitoring activities. FSSA shall be copied on required filings with IDOI, and the required filings shall break out financial information for the Hoosier Healthwise line of business separately. The financial performance reporting requirements are listed in Section 9.1 and are further described in the Hoosier Healthwise MCE Reporting Manual, which shall be provided following the Contract award date.

  • Audit and Testing 4.1 The Contractor shall conduct tests of the processes and countermeasures contained in the Security Plan ("Security Tests") on an annual basis or as otherwise agreed by the Parties. The date, timing, content and conduct of such Security Tests shall be agreed in advance with the Authority.

  • Financial Condition There shall have been no material adverse change, as determined by Bank, in the financial condition or business of Borrower, nor any material decline, as determined by Bank, in the market value of any collateral required hereunder or a substantial or material portion of the assets of Borrower.

  • Budget Summary Other Sources (Page BudgetSum 2-3 - Acct 7000), must equal Other Uses (BudgetSum 2-3 - Acct. 8000). Estimated Beginning Fund Balance July,1 2020 for all Funds (Cells C3 - K3) (Line must have a number or zero. Do not leave blank.) OK Estimated Activity Fund Beginning Fund Balance July,1 2020 (Cell C83) (Cell must have a number or zero. Do not leave blank.) OK Transfer Among Funds (Funds 10, 20, 40 - Acct 7130 - Cells C29, D29, F29), must equal (Funds 10, 20 & 40 - Acct 8130 - Cells C52, D52, F52). OK Transfer of Interest (Funds 10 thru 90 - Acct 7140 - Cells C30:K30), must equal (Funds 10 thru 60, & 80 - Acct 8140 - Cells C53:H53, J53). OK Transfer to Debt Service to Pay Principal on Capital Leases (Fund 30 - Acct 7400 - Cell E39) must equal (Funds 10, 20 & 60 - Acct 8400 Cells C57:H60). OK Transfer to Debt Service to Pay Interest on Capital Leases (Fund 30 - Acct 7500 - Cell E40) must equal (Funds 10, 20 & 60 - Acct 8500 - Cells C61:H64). OK Transfer to Debt Service Fund to Pay Principal on Revenue Bonds (Fund 30 - Acct 7600 - Cell E41) must equal (Funds 10 & 20 - Acct 8600 - Cells C65:D68). OK Transfer to Debt Service to Pay Interest on Revenue Bonds (Fund 30 - Acct 7700 - Cell E42) must equal (Funds 10 & 20 - Acct 8700 - Cells C69:D72). OK Transfer to Capital Projects Fund (Fund 60 - Acct 7800 - Cell H43) must equal (Fund 10 & 20, Acct 8800 - Cells C73:D76). OK

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