Legal Brief Case Study Example | Topics and Well Written Essays - 500 words

Legal Brief - Case Study Example The verdict in this case, is to determine whether it is illegal to advertise through commercial emails using multiple domain names to avoid spam filter (Supreme Court of California). Internet is global networkings in computers, which enable millions of world populace to communicate and access information. Referring to a case on Reno v. civil liberties union (1997) 521 U.S. 844 for internet to operate, each connected entity must have a unique identity called IPA. However, because it is a bit difficult to recall IP addresses, internet community came up with domain names system to serve the same purpose. The domain names directly identify the individual or the organization (Supreme Court of California). In 2007, Craig E. kleffman filed a suit against Vonage holdings corp. in the District Court under section 17529.5 of Professions Code only to loss to Vonage (Supreme Court of California). Kleffman claimed that Vonage holdings had sent him eleven emails on the same subject from different domain names tracing back to Vonage marketing agent. By doing this, Vonage managed to trick the spam filter and internet service provider that was responsible for monitoring the number of sent emails from individual domain name. He concluded that Vonage deliberately created multiple domain names to reduce the number of emails from each domain name and at the same time tricked the internet service providers that the emails originated from different senders. Vonage use of several domain names is misleading and untrue because it does not identify the right sender. However, the case was dismissed because kleffman did not give any occurrence of misleading or false information in the content of any of the emails. Kleffman however, appealed to the court of apples, which under the California rule of court 8.548 the ninth Circuit, asked them to decide. â€Å"In accordance to section 17529.5(A)

Is it possible to ensure scientific rigour when conducting Essay

Is it possible to ensure scientific rigour when conducting quantitative and qualitative research - Essay Example It is worth noting that the concepts of validity and reliability of qualitative research have in the past not been well codified as in the case of quantitative research. This paper therefore, looks at the possibility of having a scientific rigour when conducting qualitative and quantitative research (Gery & Ryan 2013). The quality and reliability of any research finding depend on the techniques used in collecting data, sample choices, techniques used in the analysis and the illustration of the chosen techniques. Equally, the researcher needs to develop systematic coding patterns to assist detect deviant cases that would otherwise affect reliability. The Techniques for Collecting Qualitative Data In order to have correct inference, the analysed data must be quality data. This means that techniques of collecting data must be well chosen based on the type of research and the judgements made about the contents. Poor selection of techniques is likely to result into wrong deduction (Meyric k 2006). There are approaches and techniques that can assist to improve the validity and reliability of qualitative data and the research reports. To ensure scientific rigour, four data collection techniques can be used. ... Elicitation techniques can also be categorized into types of interviews; structured, semi-structured, unstructured, and mixed elicitation that combines the three. The use of unstructured interviews may be informal or ethnographic. To have control of the results scientific research need to avoid informal interviews but choose the structured and ethnographic techniques, which allows longer questionings and deeper probing (Seale & Silverman 1997). This leads into credibility of the data with ability for proper analysis. This is because the structured and semi-structured interviews are often designed to allow all informants to be examined on a set of similar questions, in order to provide an opportunity of making comparisons of the data across respondents or groups of respondents to improve reliability. In this method, the researcher initiates the interview, asks the specific questions, and determines whether the conversation on a particular topic has meets the research objectives. In th is case, the respondent is guided and restricted to the research questions. Data collected is likely to be reliable if there is a level of correlation across the respondents. Structured interviews are majorly employed when the research intends to measure the magnitude of an occurrence and to assist make more accurate comparisons within and across groups (Seale & Silverman 1997).The validity of such structured interviews is founded on the hypothesis that if a systematic and a set of standardized instrument is administered to a group of individuals, the variances in their responses is majorly as a result of their individual differences, but not the difference in the instrument used. Examples of structured