Data collection methods in quantitative research

North ryde: l tors for collection tion case the my-peer ght © 2010 western australian centre for health promotion are here: home / blog / what’s the difference between qualitative and quantitative research? High quality and reliable data will then be processed, resulting to high quality s of data ’ll now take a look at the different methods or tools used to collect data, and some of their pros (+) and cons (-).

Data collection in quantitative research

It is important to note that for peer-based programs quantitative data collection approaches often prove to be difficult to implement for agencies as lack of necessary resources to ensure rigorous implementation of surveys and frequently experienced low participation and loss to follow up rates are commonly experienced there a way to achieve both the depth and breadth that qualitative and quantitative methods may achieve individually? The lesser amount of detail provided means the researcher may end up with mostly surface data, and no depth or meaning, especially when the data is groups method is basically an interview method, but done in a group discussion setting.

Quantitative research designs are either descriptive [subjects usually measured once] or experimental [subjects measured before and after a treatment]. Absolutely a lot for your you for help me in in answering differences are clearly elaborated you so much for the differences of quantitative and quantitative research methods, they are well explained (the what are) (the how many).

Qualitative research is rooted on interpretivism and constructivism, both of which stem from the ontological view that reality depends on one’s mental structure and activity (slevitch, 2011). You it is very helpful and , these are very basic things that should be clear u,it is easy 4 me 2 understand about the differences of the 2 research methods….

You have chosen the correct methods, then add this ew of qualitative and quantitative data collection of the workings of the world today are controlled and powered by information, giving credence to that famous quote, “information is power”. In this context, high quality data refers to data that is free from errors and bias arising from subjectivity, thereby increasing their reliability.

Since questionnaires are designed to collect standardized data, they are ideal for use in large populations or sample sizes of respondents. Unlike qualitative methods, these quantitative techniques usually make use of larger sample sizes because its measurable nature makes that possible and the open-ended questions asked in qualitative questionnaires, quantitative paper surveys pose closed questions, with the answer options provided.

These data, on the other hand, deals with quality, so that they are descriptive rather than numerical in nature. However this may be mediated by identifying key issues early and ensuring the participation of experts in qualitative and quantitative methods are useful in highlighting complex research problems such as disparities in health and can also be transformative in addressing issues for vulnerable or marginalised populations or research which involves community participation.

This lack of measurability leads to the preference for methods or tools that are largely unstructured or, in some cases, maybe structured but only to a very small, limited lly, qualitative methods are time-consuming and expensive to conduct, and so researchers try to lower the costs incurred by decreasing the sample size or number of -to-face personal is considered to be the most common data collection instrument for qualitative research, primarily because of its personal approach. Triangulation methods use multiple forms of data collection, such as focus groups, observation and in-depth interviews to investigate the evaluation objectives.

Reliability of the data may be put at risk when the case study or studies chosen are not representative of the sample or . If they collect the relevant data, they will be able to make informed decisions on how to use business resources collection improves quality of expected results or as having data will improve decision-making and the quality of the decisions, it will also improve the quality of the results or output expected from any endeavor or activity.

However when words are translated to quantity in order to describe or to generalize, then the research is now called quantitatitive research. They can range from in-depth, semi-structured to unstructured depending on the information being to face interviews are advantageous since:Detailed questions can be r probing can be done to provide rich cy requirements of participants is not an verbal data can be collected through x and unknown issues can be se rates are usually higher than for self-administered antages of face to face interviews include:They can be expensive and time ng of interviewers is necessary to reduce interviewer bias and are administered in a standardised are prone to interviewer bias and interpreter bias (if interpreters are used).

Do not report any statistical data here; just provide a narrative summary of the key findings and describe what was learned that you did not know before conducting the endations – if appropriate to the aim of the assignment, tie key findings with policy recommendations or actions to be taken in research – note the need for future research linked to your study’s limitations or to any remaining gaps in the literature that were not addressed in your , thomas r. Why does it have to be systematic, and not just done on the fly, using whatever makes the data gatherer comfortable?

If necessary, define unfamiliar or complex terms, concepts, or ideas and provide the appropriate background information to place the research problem in proper context [e. However, this type of data can be expensive to set up and requires that interviewers er and typing -pencil-questionnaires can be sent to a of people and saves the researcher time and truthful while responding to the questionnaires regarding in particular due to the fact that their responses are they also have ty of the people who receive 't return them and those who do might not be representative of ally selected sample.

To -face interviews have a distinct enabling the researcher to establish rapport with potential therefor gain their interviews yield highest in survey also allow the researcher to clarify s and when appropriate, seek follow-up information. This is your typical scientific experiment setup, taking place within a confined, closed and controlled environment (the laboratory), with the data collector being able to have strict control over all the variables.

Data may be collected through systematic observation by, say, counting the number of users present and currently accessing services in a specific area, or the number of services being used within a designated quantitative data is being sought, the approach is naturalistic observation, which mostly involves using the senses and keen observation skills to get data about the “what”, and not really about the “why” and “how”. On the discipline or field, the nature of the information being sought, and the objective or goal of users, the methods of data collection will vary.

Am wondering to know the difference of how they conduct interview in both qualitative and quantitative methods what are the difference in conducting such interviews or focus groups? These methods involve manipulation of an independent variable, while maintaining varying degrees of control over other variables, most likely the dependent ones.