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data collection approach
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Data is collection is simply how information is gathered. A data collection is the process of collecting raw material and information on variables of interest. Data collection is an important aspect of any types of research study. Inaccurate data collection can impact the result of a study and ultimately lead to invalid results. The main purpose of data collection is to collect quality of information about a particular topic and translate the collection rich data analysis and allow the building of a convincing and credible answer to question that have been posed. The data collection component of research is common to all field of study including physical and social science, humanities, business, etc. Different types of data collection data is initially collected from a given source, whether they are experiments, surveys, or observation and is presented in one of four methods. 1.Textular method The reader acquires information through reading the gathering data. 2.tabular method Provides a more precise, systematic and orderly presentation of data in row or columns. 3. semi tabular method Uses both textual and tabular methods 4 Graphical Method. The utilization of graphs is most effective methods of visually presenting statistical result or findings. 5. Quantitative and qualitative data type A).Quantitative data is a numerical measurement expresses not by means of a natural language description, but rather in terms of numbers, however not all the numbers. B) qualitative data is a categorical measurement expressed not in term of number, but rather by means of a natural language description. 6. Primary data. Primary data means original data that has been collected specially for the purpose in mind. It means someone collected the data from the original source first hand. Data collected this ways is called primary data. 7. Secondary data. Secondary data is data that has been collected for another purpose. Its means that one purpose is primary data is another purpose is secondary data. Secondary data is data that is being reused. Data management Data collection in the form of email A computer data base is a good example of data collection of data collection system. Now a days, data base is one of the best method of collection, and also called an automated data collection system. When user need that data, its easy to access and easy to useable.
Method used in collecting information includes qualitative and quantitative data. Qualitative data is used to determine the history of the community; quantitative data such as windshield survey, focus group and one on one interview were also included because both sources were important for the past and current information of the community (Stamler & Yiu, 2012, p.221).
framing the questions asked by these disciplines of their data collection. The paper, by their
Quantitative: Is data that can be measured using numerals a good example is a tally which at the end the total numbers are show in numerical figures.
According to Cummings and Worley (2009), there are four types of data collection tools that can be used which are surveys, interviews, observations, and unobtrusive measures. They all have their strengths and weakness and determining which tool is needed is very important to making sure you have reliable data to move forward from.
The data collection will be descriptive and explanatory as plausible methods are tests and surveys where there are consolidation of data and questionnaires. The methods use will replication research method where the methods will be repeated from other relevant studies but with different inputs of variables.
8.) Data - means facts or information. People use data as a basis for drawing conclusions about the topic or theme they are studying.
Methods used in psychological research are used to obtain quantitative or qualitative data. Quantitative data is more often than not derived from methods such as experiments and statistics analysing data using surveys, questionnaires and interviews. Qualitative data tends not to be aimed at finding exact measurements in its findings, but is more concerned with evidence collection and analysis through practices such as observation and ethnography (using observations through involvement in activities over a period of time) (Brownlow 2011).
The process of data collection consisted of four stages. First, to gather data about An...
Quantitative is numerical or statistical data which often comes from surveys, surveillance or administration records. Quantitative evidence provides a good overall picture of a population or geographical region. It can often be used to measure trends over time. It describes who, what, where and when. Quantitative has four main designs, Descriptive, Correlational, Experimental and Quasi-experimental. Descriptive is the characteristics of individuals, situations or groups and the frequency which with certain phenomena occur using statistics to summarise and describe data. Correlational, interrelationship amongst variables of interest without any active intervention by the researcher. Experimental is systematic and objective, investigator controls the independent variable and randomly assigns subjects to different conditions (Ingham-Broomfield, n.d.).
Once the problem has been determined, the literature has been reviewed and a hypothesis has been composed, the next step in the scientific method is to select a research design to help formulate a conclusion which would hopefully lead into further clarification, ideas and research. There are various methods that can be used during the research design to help collect data. It is crucial to determine which may best fit your study. There are four types of methods to help obtain data: Surveys, Observation, Experiments and External Sources.
Quantitative research is the oldest form of research; it is incredibly formal, stemming from positivism paradigm, or the outside looking in approach. The method is about trying to establish cause and affect relationships between variables. This method can be considered non biased as the researcher isn’t us...
to prepare these data and the possibility of data collection errors will make the data preparation
Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data (Data Analysis, n.d.). An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings; improper statistical analyses distort scientific findings, mislead casual readers and may negatively influence the public perception of research (Data Analysis, n.d.). By the time you get to the analysis of your data, most of the really difficult work has been done. The purpose of analyzing data is to obtain usable and useful information. The analysis, regardless of whether the data is qualitative or quantitative, may: describe and summarize the data, identify relationships between variables, compare variables, identify the difference between variables, or forecast outcomes (Develop A Research Proposal, n.d.). When it comes to data analysis, some believe that statistical techniques are only applicable for quantitative data, but there are many statistical techniques that can be applied to qualitative data as well (Develop A Research Proposal, n.d.).
Quantitative research involves the collection and converting of data into numerical form to enable statistical calculations be made and conclusions drawn. It provides a measure of how people think, feel or behave and uses the statistical analysis to determine the results. However, this measurement results in numbers, or data, being collected, which is then analyzed by using quantitative research methods (Byrne, 2007).
Quantitative research is research focused on data collections and measurability (Criswell, 2015). According to Newman and Benz (1998), it focuses on the common ideas that all people seem to agree on. Such as that apples come in three colors or that the majority of young people 18-25 have some experience with social media.