How Would You Describe Target Population?

by | Last updated on January 24, 2024

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Definition: A target population is a certain group of the population that share similar characteristics and is identified as

the intended audience for a product, advertising or research

. It is a portion of the whole universe of people selected as the objective audience.

How do you describe target population in research?

The target population is

the entire population, or group, that a researcher is interested in researching and analysing

. A sampling frame is then drawn from this target population.

Which population is known as target population?

3 Answers. Target population refers to the ENTIRE group of individuals or objects to which researchers are interested in generalizing the conclusions. The target population usually has varying characteristics and it is also known as the

theoretical population

.

What is a target population in psychology?

The target population is

the total group of individuals from which the sample might be drawn

. A sample is the group of people who take part in the investigation. The people who take part are referred to as “participants”.

What are examples of population?

Frequency: Population is the number of people or animals in a particular place. An example of population is

over eight million people living in New York City

.

How do you randomly select participants for a study?

  1. Step 1: Define the population. Start by deciding on the population that you want to study. …
  2. Step 2: Decide on the sample size. Next, you need to decide how large your sample size will be. …
  3. Step 3: Randomly select your sample. …
  4. Step 4: Collect data from your sample.

What is the best sampling technique?


Simple random sampling

: One of the best probability sampling techniques that helps in saving time and resources, is the Simple Random Sampling method. It is a reliable method of obtaining information where every single member of a population is chosen randomly, merely by chance.

What is unrepresentative sample?

An unrepresentative sample is

one that does not reflect the distribution of characteristics of the target group, cannot be generalised to the target population

, and is therefore biased. There are a number of different sampling methods.

What are the two types of population?

There are different types of population. They are:

Finite Population

.

Infinite Population

.

How do you determine population?

Two important measures of a population are

population size

, the number of individuals, and population density, the number of individuals per unit area or volume. Ecologists often estimate the size and density of populations using quadrats and the mark-recapture method.

How do you describe participants in a study?

Participants. In this part of the method section, you should describe the participants in your experiment, including who they were (and any unique features that set them apart from the general population), how many there were, and how they were selected.

What is the importance of random sampling?

Random sampling

ensures that results obtained from your sample should approximate what would have been obtained if the entire population had been measured

(Shadish et al., 2002). The simplest random sample allows all the units in the population to have an equal chance of being selected.

What is randomly selected?

Random selection refers

to how the sample is drawn from the population as a whole

, while random assignment refers to how the participants are then assigned to either the experimental or control groups. … Why do researchers utilize random selection? The purpose is to increase the generalizability of the results.

What is the easiest sampling method?


Convenience sampling

is perhaps the easiest method of sampling, because participants are selected based on availability and willingness to take part.

What are the 4 types of random sampling?

  • Simple Random Sampling. Simple random sampling requires using randomly generated numbers to choose a sample. …
  • Stratified Random Sampling. …
  • Cluster Random Sampling. …
  • Systematic Random Sampling.
Diane Mitchell
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Diane Mitchell
Diane Mitchell is an animal lover and trainer with over 15 years of experience working with a variety of animals, including dogs, cats, birds, and horses. She has worked with leading animal welfare organizations. Diane is passionate about promoting responsible pet ownership and educating pet owners on the best practices for training and caring for their furry friends.