SAMPLING TECHNIQUE

SAMPLING TECHNIQUE

Prepared by: Ms. Ellainne Mae Joy S. Jumalon

At the end of this lesson, you should be able to:

• Expand your vocabulary

• Communicate your world perceptions

• Define sampling ad other technical terms about sampling

• Compare-contrast the sampling methods

• Give a graphical presentation of sampling categories

• Pick out an appropriate sampling method for your chosen research topic

Linking Old and New Knowledge

Activity 1: Making Words Meaningful

Choose the word that corresponds in the meaning to the italicized word in the sentence. Be guided by the contextual clues

Multiple Choice

Doing business is my parents' way to derive our family income

• keep

• get

• display

• budget

Multiple Choice

Name the islands that constitute the town of Hundred Islands in Pangasinan

• represent

• advertise

• compose

• popularize

Multiple Choice

To lands as top-paying is the impetus behind his desire to graduate as cumlaude

• clue

• reward

• force

• secret

Multiple Choice

The cabinet members are ready to tackle issues propounded by the businessmen.

• questioned

• forwarded for mailing

• contrasted

• written for recording

Multiple Choice

Please categorize the books based on subject area.

• classify

• count

• mark

• arrange

Multiple Choice

Her religiosity was manifested by her regular attending of Holy Mass.

• pictures

• shown

• stressed

• signalled

Multiple Choice

Numerous stars blossom in the sky.

• glittering

• a big number

• twinkling

• a small number of

Multiple Choice

Give him more time to mull over your proposal

• remember

• question

• criticize

• ponder

Multiple Choice

Give the mendicant on the street food rather than money.

• janitor

• beggar

• street laborer

• street vendor

Multiple Choice

Students getting grades of 75, 82, 88, 92, and 96 belong to a heterogeneous group; the same grade of 95-96, to a homogenous group

• varied abilities

• little ability

• same abilities

• zero ability

Stirring up Imagination

Accomplish the following KWL about sampling. Do KW

Open Ended

What I already know

Open Ended

What I want to know

SAMPLING

In research, sampling is a word that refers to your method or process of selecting respondents or people to answer questions meant to yield data for a research study.

SAMPLING

The chosen ones constitute the sample through which you will derive facts and evidence to support the claims or conclusions propounded by your research problem.

Sampling Frame

It is the term used to mean the list of members of such population from where you will get the sample. (Paris, 2013)

History

The beginning of sampling could be traced back to the early political activities of the Americans in 1920 when Literary digest did a pioneering survey about the America Citizens' favorite among the 1920 presidential candidates. This was the very first survey that served as the impetus for the discovery by academic researchers of other sampling strategies that they categorized into two classes: probability sampling or unbiased sampling and non-probability sampling. (Babbie 2013)

Probability Sampling or Unbiased Sampling

Probability Sampling involved all members listed in the sampling frame representing a certain population focused on by your study. An equal chance of participation in the sampling or selection process is given to every member listed in the sampling frame.

Sampling Error

Crops up if the selection does not take place in the way it is planned. Such sampling error is manifested by strong dissimilarity between the errors are depends on the size of the sample.

Types of Probability Sampling

Identify the probability sampling that corresponds to the picture

Multiple Choice

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Multiple Choice

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Multiple Choice

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Multiple Choice

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Simple Random Sampling is the best type of probability sampling through which you can choose the sample from a population. Using a pure-chance selection, you assure every member the same opportunity to be in the sample.

Chance and system are the ones to determine who should compose the sample. For instance, if you want to have a sample of 150, you may select set of numbers like 1 to 15, and out of a list of 1500 students, take every 15th name on the list until you complete the total number of respondents to constitute your sample

The group comprising the sample is chosen in a way that such group is liable to subdivision during the data analysis stage. A study needing group-by-group analysis finds stratified sampling the right probability sampling to use.

This is a probability sampling that makes you isolate a set of persons instead of individual members to serve as sample members. For example, if you want to have a sample of 120 out of 1000 students, you can randomly select three sections with 40 students each to constitute the sample.

Non Probability Sampling

Disregards random selection of subjects. The subjects are chosen based on their availability or the purpose of the study and in some cases, on the sole direction of the researcher.

Qouta Sampling

You tend to choose sample members possessing or indicating the characteristics of the target population.

Voluntary Sampling

There is no need for you to do any selection process

Purposive Sampling

You choose people whom you are sure could correspond to the objectives of your study, like selecting those with rich experience or interest in your study.

Availability Sampling

The willingness of a person as your subject to interact with you counts a lot in this non-probability sampling method.

Snowball Sampling

does not give a specific set of sample.

ACTIVITY 2

Choose Probability is the sentence talks about probability sampling; otherwise, choose Non Probability

Multiple Choice

Checking every 10th student in the list

• Probability

• Non Probability

Multiple Choice

Interviewing some persons you meet on the campus

• Probability

• Non Probability

Multiple Choice

Dividing 100 persons into groups

• Probability

• Non Probability

Multiple Choice

Choosing subjects behaving like the majority members of NPC town

• Probability

• Non Probability

Multiple Choice

Choosing a group of subjects among several groups

• Probability

• Non Probability

Multiple Choice

Choosing a subjects capable of helping you meet the aim of your study

• Probability

• Non Probability

Multiple Choice

Choosing samples by chance but through organizational pattern

• Probability

• Non Probability

Multiple Choice

Letting all members in the population join in the selection process.

• Probability

• Non Probability

Multiple Choice

Having people willing to be chosen as respondents

• Probability

• Non Probability

Multiple Choice

Matching people's traits with the population members' traits

• Probability

• Non Probability

Open Ended

What have you learned?