Which Of The Following Statements Is True Concerning Data Selection

Data Selection: Which Of The Following Statements Is True Concerning Data Selection

Information Which Of The Following Statements Is True Concerning Data Selection – It is the procedure of defining the various types of data and sources proper for data collection.

The research process contains the plan of data chosen. It should remain properly planned accordingly. Data selection should remain made before data gathering.

The process of data selection requires by federal law. Establishing the strategy for data selection before collecting data will decrease the chance of a biased outcome. Therefore, option D is the correct statement regarding the data selection.

Which of the following statements is accurate concerning data selection?

 

A: A data selection strategy requires by federal law.

B: A promising data selection strategy can eliminate the need for data collection.

C: A data selection strategy must remain established after the data are collected.

Dl: Establishing a data selection strategy before collecting data decreases the chance of a biased outcome.

Answer:

The correct answer is option D.

Data Collection Steps & Tools Used: Which Of The Following Statements Is True Concerning Data Selection

Advantages And Disadvantages:

If you want to know the advantages and disadvantages of data collection steps, you can get the good one according to your need.

There are many data collection steps and tools that you can use in your study, calculations, firms.

The steps vary from custom, such as selecting a person, to the latest ways and gathering data to promote online searches.

What is a Data Collection Method? Definition, Types, and Examples

Information Which Of The Following Statements Is True Concerning Data Selection – Defines the various data types and sources proper for data collection. The main aim is to get sound quality proof that permits you to get good answers and endings.

Data collection is the key to nearly any marketing and business plan. Data collection makes you powerful in making proper decisions, solving problems, storing data, discovering new patterns, and understanding market requirements. Before going further into different data collection ways, we need to explain the 2 main kinds of data – quantity and quality.

Quality vs. Quantity data

Information Which Of The Following Statements Is True Concerning Data Selection – Quantity data can be expressed as a number or quantified. It easily lends itself to statistical manipulation and mathematical calculations. Examples of Quantity data: shoe size, number of hours women spend shopping, square footage of an apartment, price, length, quantity, etc. Quantity research questions are generally closed, and the answers can easily remain converted into numbers, graphs, or tables.

Quality data is information that cannot be expressed as a number and cannot be measured. It comprises words, pictures, observations, and symbols, not numbers. It’s about qualities. Examples of qualitative data: socioeconomic status, colors, preferred vacation destinations like Hawaii and New Zealand, ethnicities like American Indians and Asians, etc. Most of the time, qualitative data collection methods involve open-ended questions and detailed answers.

Observation Tools and Methods

Information Which Of The Following Statements Is True Concerning Data Selection – Data collection through observation can remain done several ways. The observer can write what they observe or use a video camera. The researcher can continuously monitor (CM), watch people, and record (manually, electronically, or both) as much of their behavior as possible.

Or the researcher may not observe a process while it is happening. Instead, look for things that people leave behind inaction or function (for example, examine trash left behind after workers’ lunches to learn about food waste behavior).

Tools for collecting data from documents and records

Information Which Of The Following Statements Is True Concerning Data Selection involves checking and examining existing data from reports, financial records, newspapers, website articles, government publications, etc.

There are 2 Main Sources of this Data:

Internal data sources: information collected within the researcher’s organization (examples: sales reports, production costs, cash flow reports, previous marketing reports on customer profiles, transactional data, etc.).

External data sources: information collected outside of the researcher’s organization. Examples include:

Also Read: what makes the data cycle useful