RDL 2 SAMPLING PLANS, DESIGNS AND TECHNIQUES

26問 • 1年前

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is the process of selecting and getting the respondents of the study with the minimum cost such that resulting observations will be representative of the entire population.

SAMPLING

a detailed outline of which measurements will be taken at what times, on which material, in what manner, and by whom that support the purpose of analysis.

SAMPLING PLAN

What is Slovin's Formula?

n = N/1 + Ne²

actual list of individuals that the sample will be drawn from

SAMPLING FRAME

______ Sampling -one in which samples are obtained using some objective chance mechanism, thus involving randomization = requires the use of a sampling frame (a list/map of all the sampling units in the population)

Probability Sampling

one wherein each element has an equal chance of being selected Sample is selected in one of two ways: by means of table of random numbers by using the lottery technique

SIMPLE RANDOM SAMPLING

respondents are chosen by selecting a random starting point and selecting other members after a fixed “sampling interval”

SYSTEMATIC RANDOM SAMPLING

sub-samples from each stratum are selected proportionate in size to the significant characteristics of the total population

STRATIFIED RANDOM SAMPLING

multiple clusters of people are created from a population where they are indicative of homogeneous characteristics and have an equal chance of being part of the sample *In this sampling method, a simple random sample is created from the different clusters in the population.

CLUSTER SAMPLING

refers to the procedure as in cluster sampling which moves through a series of stages from more inclusive to the less inclusive sampling units until arriving at the population elements that constitute the desired sampling

MULTI STAGE SAMPLING

_____ Sampling - one wherein there is no way of estimating the probability that each element has of being included in the sample and no assurance that every element has a chance of being included

NON PROBABILITY SAMPLING

one whereby the researcher simply reaches out and takes the cases that are at hand, continuing the process until the sample reaches a designated size

ACCIDENTAL SAMPLING

selecting the individuals as samples according to the purposes of the researcher as his controls; individual is selected due to good evidence that he is a representative of the total population

Purposive Sampling

______ – done by merely looking for individuals with the requisite characteristics

Quota Sampling

includes accessible person to be part of respondents

Convenience Sampling

existing participants are asked to nominate further participants so the sample increases in size.

Snowball Sampling

What type of Probability Sampling You want to select a simple random sample of 150 students of School X. You assign a number to every student in the school database from 1 to 5000, and use a random number generator to select 150 numbers.

Simple Random sampling

What type of Probability sampling? All employees of the company are listed in alphabetical order. From the first 10 numbers, you randomly select a starting point: number 6. From number 6 onwards, every 10th person on the list is selected (6, 16, 26, 36, and so on), and you end up with a sample of 100 people.

SYSTEMATIC RANDOM SAMPLING

What type of Probability Sampling The company has 800 female employees and 200 male employees. You want to ensure that the sample reflects the gender balance of the company, so you sort the population into two strata based on gender. Then you use random sampling on each group, selecting 80 women and 20 men, which gives you a representative sample of 100 people.

Stratified Random sampling

What type of Probability Sampling The company has offices in 10 cities across the country (all with roughly the same number of employees in similar roles). You don't have the capacity to travel to every office to collect your data, so you use random sampling to select 3 offices - these are your clusters.

Cluster Sampling

What type of Probability Sampling? Example: In a nationwide study, ✓ the regions are selected as 1st stage, cities/municipalities as 2nd stage, ✓ congressional districts as 3rd stage, barangays as 4th stage

Multi-Stage Sampling

Type of Non Probability Sampling You are researching opinions about student support services in your school, so after each of your classes, you ask your fellow students to complete a survey on the topic. This is a convenient way to gather data, but as you only surveyed students taking the same classes as you at the same level, the sample is not representative of all the students in your school.

Convenience Sampling

What type of Non Probability Sampling You send out the survey to all students in your school and a lot of students decide to complete it. This can certainly give you some insight into the topic, but the people who responded are more likely to be those who have strong opinions about the student support services, so you can't be sure that their opinions are representative of all students.

Voluntary Response Sampling

Type of Non Probability Sampling You want to know more about the opinions and experiences of PWD students in your school, so you purposefully select a number of students with different support needs in order to gather a varied range of data on their experiences with student services.

Purposive Sampling

Type of Non Probability Sampling When carrying out a survey of risk behaviors among drug addicts, participants may be asked to nominate other drug addicts who are known to them. In this case the drug addicts will select the sample.

Snowball Sampling

Type of Non Probability Sampling An interviewer might be told to go out and select 10 adult male, 10 adult female, 5 teenage girls and 5 teenage boys to interview them about their smart phone usage behavior. The quotas are chosen proportionally to represent the characteristics of the underlying population

Quota Sampling

MIL - Models of Communication

Aia Dale · 6問 · 1年前

MIL - Models of Communication