Advantages And Disadvantages Of Data Collection

The use of these 4 data collection methods in this study was for triangulation purpose and to create an opportunity to fid the correlation of the data during the process of collection. In the school semi-structured interview was conducted first followed by the observation as well as document analysis. Documents were sourced from the internet after acquiring the particular source used by each participant.

The research topic is selected, the testable research question is developed, research on the topic is found, the literature review is completed, and a decision is made on the research design. Now, one of the most important steps in the research process to accomplish is the collection of data. Notwithstanding the research project and whether the method of research is whether qualitative or quantitative, data must be collected. Data collection is essential whether the method of choice is a mail survey, a telephone survey, an interview, an experiment, field research, or secondary data analysis. Data collection is an important aspect of any research study. Inaccurate data can impact the results of a study and ultimately lead to invalid results. During the data collection step, a significant amount of time, energy and attention are required. In order to ensure the data collection process is valid and successful, one should adhere to the four steps involved: (1) the construction of a collection data form which is used to organize all data that is collected; (2) the designation of the coding strategy used to represent data on a data collection form; (3) the collection of the actual data; and (4) entry into the data collection form (Salkind, 2012).

According to Acharya, Prakash, Saxena, and Nigam (2013), sampling designs are classified into two categories: probability sample and non-probability sample. Probability sampling aids in the generalizability of the results because individuals in the population have an equal chance of being selected to participate in the study (Acharya et al., 2013). With the non-probability sampling method, every individual does not have the same chances of being included (Frankfort-Nachmias, & Nachmias,

Probability sampling, also known as random sampling, requires that every member of the study population have an equal opportunity to be chosen as a study subject. For each member of the population to have an equal opportunity to be chosen, the sampling method must select members randomly. Probability sampling allows every facet of the study population to be represented without researcher bias. Four common sampling designs have been developed for selection of a random sample: simple random sampling, stratified random sampling, cluster sampling, and systematic sampling (Burns & Grove,

The methodology was described with the data collection method. Quantitative and qualitative questionnaire which consisted of closed questions with a choice of fixed answers and free text to enhance qualitative data were sent out in the form of mailshot, followed by telephone call to non-respondents and it was repeated for more wider sample results to gain more evidence to reduce bias (Parahoo, 2006).

There are a number of methods of collecting data, some of them are – questionnaire, surveys, checklists, interviews, observations, focus group etc (Cordray, 1986; Einhorn and Hogarth, 1986).

This section will provide the rationale of the methods employed and highlight how the study will be performed. The study will examine the population with the sample size identified, data collection method and its analysis will be offered.

When conducting a study, it is impossible to collect data from the whole population, therefore it is important to select a representative sample because sampling makes it possible to select a representative for study and discover things that apply to many more people who are not studies (Maxfield & Babbie, 2012). The purpose of sampling is to generate a set of individuals or other entitles that give us a valid picture of all such individual or other entitles. It is important to generalise from a sample to unobserved population the sample in intended to represent. Therefore, when selecting a group of subjects for study, it is important to ensure that we represent some larger population.

Data collection and measure. The method of data collection for this qualitative research was narrative paradigm. Locsin, Kongsuwan & Nambozi (2009) asked each participant three questions in order to obtain written narratives of their experience. Even though this method

A second form of probability theory is shown through systematic sampling. Systematic sampling is used more frequently by researchers versus simple random sampling if the available criterion has already been established. Through systematic

In conclusion, there are many different data collection methods that are used for research. Many arguments in

The data was collected with certain procedures. Initially, comprehend the research topic and objective, secondly, sketch the interview question by following the guidelines provided on QUT Blackboard as framework of the research. Subsequently, record and conduct the interview with qualified respondent. Then transcribed the interview conservation and uploaded to the online survey system. Lastly, download three other transcripts from class database of interview transcript.

Overview: This section explains the research philosophy, the literature survey for this research, data collection technique, data analysis approach and the overall process of the research. It started by gather the general insights that were relevant to the research; derived the information into a research topic; brief explanation about how the research was conducted, how the data was collected through experiment, how the data was analysed and concluded.

The methods are explained about the data collection and the design process. This suggests that he information collected through different kind and forms of data collection methods.

This part will presents the details of the research design and methodology that use to conduct the study and it will includes: research design, population and sampling techniques, data source and data collection methods and finally research procedures and data analysis methods will be presented.