Data Collection Sample Clauses

Data Collection. 3.3.1.3.1 Data collection approach and methods‌ Data for the qualitative component of the study were collected using individual in-depth interview of students. A Digital audio recorder was used to capture the whole interview of each of the 26 participants. The investigator also took notes on relevant issues as the interview proceeded. Seidman (1998) defines in-depth interview as a qualitative data collection method that enables to understand and explore one’s experience and the meaning one makes of that experience. In-depth interview is used to uncover feelings and beliefs an individual has regarding a specific experience. Open ended questions are asked on issues ranging from specific to general topic of interest. In-depth interviews can be used to explore in complex topics; when subjects are knowledgeable about the issue and when an understanding of individual experience is needed (Cottrell & McKenzie 2011). As explained by Kvale (1996), knowledge is created as a result of the interaction between interviewer and interviewee. In this study, in-depth interview was preferred over focus group discussions. This was because the subject under investigation was concerned with issues that touch beliefs and associated factors as it relates to HIV/AIDS and HIV counseling and testing. And as a result, it would have been difficult to talk such privet issues in a focus group and the possibility of peer influence in a focus group discussion could have affected the result of the interview. Moreover, in-depth interview has provided the opportunity to go further depth and detail in the area of interest, which would have been difficult in a focus group discussion (Cottrell & McKenzie 2011). However, the inherent limitations of in-depth interview such as the skill of interviewer and interviewee and interviewer fatigue did not have much impact as the principal investigator of the study conducted the whole interviews.3.3.1.3.2 Development of questions and interview guides‌ A semi structured in-depth interview guide was prepared based on the six constructs of the health belief model (perceived severity, susceptibility, benefit, barrier and self- efficacy and cues to action). General questions on general knowledge about HIV were also included as starting questions for the interview. As it can be seen in Annex A, open-ended questions with some probing questions were listed under each constructs. Otherwise, the interview was conducted freely even though general and probing questio...
Data Collection. Data collection techniques used for the research include: (1) document review, and (2) interview. Briefly, documents provide important background information about an organization’s mission, jobs, work processes, people, and technologies (Nissen, 2007,p. 235). Additionally, documents provide important contextual information surrounding the HTS organization such as supporting theories, organizational issues, opposition movements, and controversies surrounding the HTS initiative (Nissen, 2007). Moreover, documents related to current counterinsurgency operations and strategies provide significant insight on aspects across the domain of analysis. Finally, reviewing documents also helps in the formulation of interview questions. The research is benefited by the researcher’s continued access to HTS and HTT documents during the study. Thus, document review is a continual and essential process throughout the research.Concurrent with the document review process, interviews are conducted with participants directly involved in the design and implementation of the Human Terrain System and Human Terrain Teams. Semi-structured interviews are conducted with probing and snowballing techniques (Rubin & Rubin, 1995; Nelson, Nadkarni, Narayanan, & Ghods, 2000, p. 475-507; Reich & Kaarst-Brown, 1999, p. 337-364). Briefly, the probing technique involves asking the interviewee additional questions that arise from previous interviewee responses. This enables the researcher to probe more deeply into important themes that emerge from the interview process. As the researcher gathers more detailed information from the interviewee, the snowballing technique is used to collect this information and add it to the body of research cumulatively.Information solicited from organizational architects, leaders, and participants provides essential experiential insight that enhances the information provided by documents. Table 1 summarizes the sample frame. Each participant interviewed is a founding or participating member of the Human Terrain System organization or a deployed HTT. Thus, each interviewee possesses deep experiential knowledge of the project and organization. Moreover, the principal interviewee is the lead Social Scientist of the focal HTT currently deployed in Iraq. TitleOrganizationProject ManagerHTSDirector, Research Reachback CenterHTSSenior Social ScientistHTSCultural Analyst 1RRCCultural Analyst 2RRCDirector, Human Resource DevelopmentHTSLead Social ScientistFocal HTTTable 1...
Data Collection. The Engineer shall conduct field reconnaissance and collect data as necessary to complete the schematic design. Data shall include the following information. Items “a” to “g” will be obtained from the State, if available, while items “h” to “j” will be obtained from other agencies as required.
Data Collection. The NREGS is unusually amenable to an audit study because program micro-data are, by law, available online to the public (http://NREGS.nic.in). Data available from jobcards include the roster of individuals within each household with their names, genders, and ages. These records can be matched to muster roll information on each spell of work performed, which includes the individual who worked, the project worked on, number of days worked, and amount earned. Muster rolls do not explicitly state whether a spell was compensated on a daily wage or piece rate basis; we can infer this, however, since the few allowed daily wage rates are round numbers that would rarely occur by chance under a piece rate scheme.9In order to construct a sample frame we downloaded (in January 2008) all muster roll information for the period March-June 2007, i.e. two months before and after the statutory wage change on 1 May 2007.10 We sampled work spells from the official records for Gajapati, Koraput, and Rayagada districts in Orissa.11 We then sampled 60% of8Officials face a low but positive probability of getting caught and punished. A coalition of non- governmental organizations that monitor NREGS in Orissa has reported numerous instances of officials being caught and suspended by their District Collectors (http://groups.google.co.in/group/oregs-watch).9These are Rs. 55, 65, 75, and 85 prior to the wage change, and Rs. 70, 80, 90 and 100 afterwards. The higher rates are for skilled categories of laborers and are rarely applied.10We waited until January to ensure that all pertinent muster roll information had been digitized and uploaded – by law this should take place within two weeks after work is performed, but in practice delays of several months are common. As a consistency check we also downloaded the same data again in March 2008 and verified that it had not changed.11We restricted ourselves to blocks (sub-districts) that border the neighbor state of Andhra Pradesh. OurGram Panchayats within our study blocks, stratified by whether or not the position of GP chief executive was reserved for a woman or ethnic minority.12 Finally, we sampled 2.8% of work spells in these panchayats, stratifying the sample by panchayat, whether the project worked on was implemented by the block or panchayat government, whether the project was a daily wage or piece rate project, and whether the spell began before or after 1 May 2007. This yielded a sample of work spells and an implied sample of 19...
Data Collection. The goods purchased by Buyer may have functionality through an included data connection (“Data Connection”) that monitors, transmits and records data related to certain aspects of equipment usage. Buyer acknowledges and agrees that Seller may activate the Data Connection immediately upon or at any time following installation of goods or equipment and the data collected will be transmitted to and collected by Seller or its affiliates through the Data Connection. Buyer, on behalf of itself, any end user of equipment (“End User”) and any individual identified or identifiable by equipment usage data, hereby consents to the collection, storage and use by Seller of such information and agrees that Seller’s collection of such information may continue until such time that Buyer or End User terminate its agreement to receive and/or purchase remote monitoring services from Seller or its affiliates (if applicable) or otherwise directs Seller in writing to deactivate the Data Connection (provided, however, Buyer hereby acknowledges and agrees that deactivation of the Data Connection may not be immediate and Seller will use its commercially reasonable best efforts to deactivate the Data Connection as promptly as possible). Buyer further accepts and agrees that Seller shall not actively monitor or inspect any equipment or equipment usage data or other information that is generated by using a condition monitoring unit incorporated into any equipment and/or transmitted and collected through the Data Connection. Regardless of the nature of information collected by Seller, Buyer acknowledges and agrees that Seller shall have no obligation to alert or notify Buyer of any information collected by Seller except as specifically set forth in a separate agreement between Seller and Buyer and, unless and until Buyer has agreed to purchase or receive remote monitoring services offered by Seller, Seller shall be under no obligation to provide any equipment usage data to Buyer.
Data Collection. Dialysis Center agrees that all data to be provided to Amgen pursuant to this Agreement, shall be in a form that does not disclose the identity or name of any patient or other patient-identifying information such as address, telephone number, or social security number. Dialysis Center acknowledges that the data to be supplied to Amgen pursuant to this Agreement shall be used to support verification of the discounts and incentives referenced herein, as well as for Amgen-sponsored research concerning the role of EPOGEN(R) in improving treatment outcomes and quality of life of dialysis patients. Dialysis Center shall consistently use a unique alpha-numeric code (which shall not be the same as the patient's social security number) as a "case identifier" to track the care rendered to each individual patient over time, and such case identifier shall be included in the data provided to Amgen. The key or list matching patient identities to their unique case identifiers shall not be provided to Amgen personnel. In furtherance of Amgen research, Dialysis Center may agree from time to time, on terms to be negotiated separately by the parties, to use its key to update the patient care data by linking it with information concerning health outcomes, quality of life, and other pertinent data that may become available to Amgen from other sources. Any such linking of data sources shall not provide the identity of any patient to Amgen. Amgen agrees that it will maintain data supplied under this agreement in confidence and that it will not use such data to identify or contact any patient, [DELETED]. No reports by Amgen concerning analyses of the data or the results of such research shall disclose the identity of any patient. Nothing in this Agreement shall limit Dialysis Center's use of its own patient case data, including, without limitation, any and all data to be supplied to Amgen hereunder.
Data Collection. To the extent that Symantec processes any Personal Information in accordance with Your use of the Licensed Software and/or Maintenance/Support, Symantec will be the Data Processor and You will be the Data Controller. You undertake to obtain all necessary consents, permits or licenses, and to comply with all applicable data protection legislation, in particular the Data Protection Directive (95/46/EC) or any successor legislation, with regards to the provision of Personal Information to Symantec in accordance with this License Agreement. Symantec shall process Personal Information as is necessary to (i) enable, optimize and provide the Licensed Software and/or Maintenance/Support to You and Your users, (ii) to administer and enforce its License Agreements with You, (iii) to make recommendations regarding usage of the Licensed Software, Maintenance/Support and other Symantec products and services, (iv) to improve and develop Symantec’s products and services including, without limitation, for security research and development, or threat detection and security reporting purposes, and (v) to generate statistical reports and analysis about use of the Licensed Software and/or Maintenance/Support (including analysis related to security trends and data patterns, and comparisons in Symantec’s aggregated install base) (collectively “Reports”). Symantec shall implement and maintain appropriate technical and organisational measures to protect the Personal Information processed under this License Agreement against accidental loss, destruction, damage, alteration or disclosure. You hereby consent for Symantec to transfer Personal Information, as maybe required to provide the Licensed Software and/or Maintenance/Support pursuant to this License Agreement, to the United States or other countries that may have different data protection laws than the region in which You are located and may be accessed by Symantec employees, contractors, partners and vendors for the purposes described above. Where transfers of Personal Information are made from the European Economic Area to outside the European Economic Area, You agree that Symantec will execute Standard Contractual Clauses on your behalf. In the event of a conflict between the clauses of this License Agreement and the Standard Contractual Clauses with respect to data processed under this License Agreement, the terms of the Standard Contractual Clauses will prevail to the extent of the conflict. Your acceptance of this Licens...