1 billion in private investments from other sources to improve entertainment, lodging and tourism options in the city of 100,000 people." (Carlson, p
For instance, the text by Cecire (2002) tells us, with the histogram, "we graph groups of numbers according to how often they appear." (Cecire, p
To this point, "a researcher will decide for one (or multiple) data collection techniques while considering its overall appropriateness to the research, along with other practical factors, such as: expected quality of the collected data, estimated costs, predicted nonresponse rates, expected level of measure errors, and length of the data collection period." (Traub, p
The second part of the questionnaire focuses on the health issues consistence with the goals of Health 2020. (USDHHS, 2009)
All is needed is to have well processed for better comprehension. Conducting interviews as a strategy of collecting data best suited the study because it targeted the organizations more than on the consumers (Russ, 2010)
Is relation element? Use references readings data collection methods address questions: •What data collection methods study? Justify . Data Collection Methods as applied in the study The study was carried out to help identify the global changes in the business world, and how organizations are adjusting themselves to the changes (Gouws, & Shuttleworth, 2009)
The research instrument Preschool Learning Behavioral Scale (PLBS) consists of a paper-and-pencil measure and observational behavioral items intended to be used for the preschool children between the age of 3 and 5 years. (Lutz, Fantuzzo, & McDermott 2002)
Direct observation is used to collect data because "interviews and questionnaires are not suitable for use with young children whose oral and written language skills are not well developed." (McKechnie, 2000 P
The stratified random sampling allows the entire ethical and socio-economic group to be represented. (Trochim & Donnelly 2007)
These factors pertain to both inclusion and exclusion criteria, which are largely determined by the needs of a study. Exclusion criteria applies to subjects who meet inclusion yet have other facets that compromise the integrity of the study (Lunsford & Lunsford, 2005)
This tendency can happen due to event problems or because of a general lack of diligence on the part of a research team for ascertaining the mettle of equipment that is used during the data collection process. In that respect, it greatly behooves researchers to implement methods of quality control (Whitney et al
Crime Reporting and Data Collection Methods In what way(s) is the NIBRS similar and dissimilar to the NCVS? The NIBRS and NCVS approaches are similar in that both the NIBRS and the NCVS provide more detailed information about some of the same types of crimes reported under the UCR as well as more types of crimes (USDOJ, 2005). The principal difference between the NIBRS and the NCVS is that only the latter collects information about crimes that affect victims but that are not reported by police because they occur in incidents never reported to or investigated by police (Hirschel, 2009; Safir, 2003; Schmalleger, 2009; USDOJ, 2005)
3. What are the relative advantages and disadvantages of this data collection method for estimating crime? The main advantages to collecting data about crime in this manner is that it facilitates the effective analysis of crime statistics in a broad sense that allows the most efficient and cost-effective allocation of law enforcement resources in relation to the specific patterns of crimes they encounter (Safir, 2003)
Conversely, the NIBRS is a less reliable method to the extent specific crimes are defined differently and to the extent the data collection omits jurisdictions not covered by the NIBRS. Typical examples would include the underreporting of robberies and car thefts in the NIBRS by virtue of the absence of large urban areas from NIBRS reporting jurisdictions (Schmalleger, 2009)
The global exposure of supply network requires a coherent and technology oriented approach (Barnes, 2008). Infrastructure decision areas: The infrastructure issues are referred to the capabilities of performing within the given structure of the operational functions (Anand, Ward, Tatikonda, & Schilling, 2009)
The level of structural competence of facilities is also relevant in terms of technological sophistication and competence on the site. The categorization of local, offshore, or outsourced facilities possess a relevant structural capability (Barnes, 2008)
A number of real business examples are also provided to elaborate the concepts. The comparison of the structural and infrastructural decisions in operation is commonly compared with the hardware and software of computers (Griffin & Pustay, 2009)
The companies providing these services concentrate on developing expertise in handling food and as a result they reduce capital intensive investments as well as result into reducing operational cost. However it is also noted that the addition of supply chain through outsourcing also carries certain risks (Boyer, & Verma, 2010)
The hardware is considered as the tangible assets possessed by the organization to perform its routine functions. These assets are namely buildings, computers, equipment, and machinery (Brown, Lamming, Bessant, & Jones, 2012)
Once the data collection process has been completed, the researcher could draw inferences from it, which could be further incorporated into the already existing theoretical framework. Finally, these inferences could be compiled in the report format with concluding remarks (Bryman et al