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Data Collection and Analysis Course

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BS Bendemeer Centre

20 Bendemeer Road

Singapore, 339914

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As one of the top trusted service providers in the ASEAN region, Avanta Global is proud to offer complete solutions for your training needs

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Introduction

Data collection is a systematic way of combining observations or parameters. It helps you to obtain first-hand information and unique insights into your study topic, whether you're conducting research for industry, government, or academia.

While techniques and goals may vary per field, the general data gathering procedure is usually the same.

You should think about the following things before you start collecting data:

· The aim of the research

· The sort of information you'll gather

· The procedures and methods you'll use to gather, store, and process data.

Below are the four steps to obtain high-quality data that is relevant to your goals.

Step 1: Define your research's goal.

Before you begin the data collecting process, you must first determine exactly what you want to accomplish. Begin by formulating a problem statement: what is the practical or scientific issue you wish to address, and why is it important?

Then, come up with one or more research questions that clearly state what you want to learn. You may need to collect quantitative or qualitative data, depending on your study questions:

· Quantitative data is represented by numbers and graphs, and statistical procedures are used to examine it.

· Words are used to represent qualitative data, which is then evaluated using interpretations and categorizations.

Collect quantitative data if you want to test a theory, measure something exactly, or obtain large-scale statistical insights. Collect qualitative data if your goal is to explore concepts, comprehend experiences, or get comprehensive insights into a specific environment. You can use a mixed methods strategy to collect both sorts of data if you have several goals.

Step 2: Select a data collecting technique.

Decide which approach is suitable for your study based on the data you wish to collect.

· Experimentation is largely a quantitative approach to study.

· Qualitative techniques include interviews, focus groups, and ethnography.

· Quantitative and qualitative approaches include surveys, observations, archival research, and secondary data collecting.

Consider the technique you'll employ to collect data that will directly answer your study questions.

Step 3: Prepare your data gathering processes in advance.

When you've decided what method(s) to use, you'll need to figure out how you'll put them into action. What techniques will you use to make precise observations or measurements of the variables you're studying?

• Operationalization: converting abstract mental concepts into observable data You must transform the conceptual description of what you wish to investigate into the operational definition of what you will actually measure when determining how you will gather data.

• Sampling: This entails identifying a population, or the group about which you wish to make conclusions, as well as a sample, or the group from which you will collect data.

• Standardizing procedures: establishing detailed step-by-step instructions to ensure that everyone on your study team gathers data in a consistent manner

• Creating a data management plan: You may need to anonymize and protect data to prevent leakage of sensitive information if you collect data from people (e.g., names or identity numbers). You require transcriptions or data entry in order to avoid distortion if you collect data via interviews or pencil and paper forms.

Step 4: Collect the data

Finally, to measure or observe the variables you are interested, you can use your selected techniques.

· Record all essential data as and when you receive them. Note, for instance, if or how laboratory equipment is re-calibrated in a test study.

· Double-check incorrect input manual.

· You may evaluate reliability and validity to obtain a clue about your data quality if you collect quantitative data.

For more Information

Name: Avanta Academy

Contact Number: +65 9106 3805

Email ID: digital@avanta.com.sg

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BS Bendemeer Centre

20 Bendemeer Road

Singapore, 339914

Singapore

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Organiser Avanta Global Pte. Ltd

Organiser of Data Collection and Analysis Course

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