Data Collection

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You will learn about Data Collection and Sampling as part of the Research Process

What is Data Collectionand how is Data Collected?

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What is Data Collection? and How is Data Collected?

SECTION 01

Data is one of the most valuable digital resources in the modern world. Companies that have access to Big Data and have enough computing facilities to effectively process and analyse it usually have a bigger market share and generate more income. Access to information gives a unique opportunity to understand the interests and demands of the customers much better and even exceed their expectations. This makes the necessity of data collection, which is the first and most important step of any decision-making process, really urgent. But before diving deeper into the topic, let’s get started with some important definitions.

Data Collection: Methods, Definition, Types, and Tools

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What Is Data Collection? Data collection is the process of gathering data, its further measuring, processing, assessing and analyzing for research purposes. It’s conducted with the help of established, validated techniques, which make it possible to answer research questions, test hypotheses, and evaluate final results. The main goal of data collection is to get access to reliable sources of information that will provide data for further analysis and make data-driven decisions possible.

What is Data Collection? How is Data Collected?

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Types of Data Collected

Data Analysis Strategies

Research Design: Planning your Data Collection Procedures

Data Analysis Strategy

Data Collection Procedures

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It is important to get results from the experiment but the most important is the process in getting that result.

Dr Nik Nizam

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Data is various kinds of information formatted in a particular way:1. Data collection is the process of gathering, measuring, and analysing accurate data from a variety of relevant sources to find answers to research problems, answer questions, evaluate outcomes, and forecast trends and probabilities. 2. Data can be collected through various sources, such as social media monitoring, online tracking, surveys, feedback, etc.3. Data is collected using techniques such as measurement, observation, query, or analysis, and is typically represented as numbers or characters which may be further processed.

What is Data and What is Data Collection?

Collecting Qualitative Data: A Field Manual for Applied Research By Greg Guest, Emily E. Namey, Marilyn L. Mitchell

Qualitative Data Collection Tools Design, Development, and Applications By Felice D. Billups · 2019

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Sampling Methods Sampling methods refer to the techniques used to select a subset of individuals or units from a larger population for the purpose of conducting statistical analysis or research. Sampling is an essential part of the Research because it allows researchers to draw conclusions about a population without having to collect data from every member of that population, which can be time-consuming, expensive, or even impossible.

Sampling refers to the process of selecting a subset of data from a larger population or dataset in order to analyse or make inferences about the whole population.In other words, sampling involves taking a representative sample of data from a larger group or dataset in order to gain insights or draw conclusions about the entire group.

Sampling

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Non-probability Sampling:This type of sampling does not rely on random selection, and it involves selecting samples in a way that does not give every member of the population an equal chance of being included in the sample. Non-probability sampling is often used in qualitative research, where the aim is not to generalize findings to a larger population, but to gain an in-depth understanding of a particular phenomenon or group. Non-probability sampling methods can be quicker and more cost-effective than probability sampling methods, but they may also be subject to bias and may not be representative of the larger population.

Probability Sampling: This type of sampling is based on the principles of random selection, and it involves selecting samples in a way that every member of the population has an equal chance of being included in the sample.. Probability sampling is commonly used in scientific research and statistical analysis, as it provides a representative sample that can be generalized to the larger population.

Types of Sampling Methods

Sampling can be categorised in two main categories

How to Conduct Sampling Methods some general steps to conduct sampling methods: Define the population: Identify the population of interest and clearly define its boundaries. Choose the sampling method: Select an appropriate sampling method based on the research question, characteristics of the population, and available resources. Determine the sample size: Determine the desired sample size based on statistical considerations such as margin of error, confidence level, or power analysis. Create a sampling frame: Develop a list of all individuals or elements in the population from which the sample will be drawn. The sampling frame should be comprehensive, accurate, and up-to-date. Select the sample: Use the chosen sampling method to select the sample from the sampling frame. The sample should be selected randomly, or if using a non-random method, every effort should be made to minimize bias and ensure that the sample is representative of the population. Collect data: Once the sample has been selected, collect data from each member of the sample using appropriate research methods (e.g., surveys, interviews, observations). Analsze the data: Analyze the data collected from the sample to draw conclusions about the population of interest.

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