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Data Gathering
Techniques
CHAPTER 2
2.1 Collecting Data
 Primary sources of statistical data are government institutions,
business agencies, and other organizations
 Secondary sources are books, encyclopedia, journals,
magazines, and research or studies conducted by other
individuals.
 1. The Direct or Interview Method
 In this method, the researcher has a direct contact with the
interviewee.
 2. The Indirect or Questionnaire Method
 This method makes use of a written questionnaire. The researcher
gives or distributes the questionnaire to the respondents either
by personal delivery or by mail.
 3. The Registration Method
 This method of collecting data is governed by laws.
 4. The Experimental Method
 This method is usually used to find out cause and effect
relationship. Scientific researchers often use this method.
2.2 Determining the Sample Size
 To determine the sample size, the Slovin’s formula is used.
𝑛 =
𝑁
1 + 𝑁𝑒2
where n = sample size
N = population size
e = margin of error
 N = 10 000
 e = 10% or 0.10
𝑛 =
𝑁
1 + 𝑁𝑒2
𝑛 =
10 000
1 + (10 000)(0.10)2
n = 99.01 or 99
 N = 10 000
 e = 5% or 0.05
𝑛 =
𝑁
1 + 𝑁𝑒2
𝑛 =
10 000
1 + (10 000)(0.05)2
n = 384.62 or 385
 2.2.1 Sampling Techniques
 Sampling technique is a procedure used to determine the
individuals or members of a sample.
 2.2.2 Probability Sampling
 Probability Sampling is a sampling technique wherein each
member or element of the population has an equal chance of
being selected as members of the sample.
31871 60770 59235 41702 87134
32839 17850 37359 06728 16314
81076 42172 95646 67486 05167
07819 44085 87246 47378 98338
 2.2.2.1 Simple Random Sampling
 1. Lottery Method
 2. Table of Random Numbers
 2.2.2.2 Systematic Random Sampling
 taking the 𝑘 𝑡ℎ units from an ordered population, from the 1st unit
which is selected at random.
 2.2.2.3 Stratified Random Sampling
 The word stratified comes from the root word strata which means
groups or categories (singular is stratum). When we use this
method, we are actually dividing the elements of a population
into different categories or subpopulations and then the
members of the sample are drawn or selected proportionally
from each subpopulation.
 2.2.2.4 Cluster Sampling
 Sampling wherein groups or clusters instead of individuals are
randomly chosen
 2.2.2.5 Multi-Stage Sampling
 2.2.3 Non-probability Sampling
 Sample are drawn form the population based on the judgment of
the researchers. The results of a study using this sampling
technique are relatively biased. This technique lacks objectivity.
 2.2.3.1 Convenience Sampling
 sample being drawn from that part of the population that is close
to hand.
 2.2.3.2 Quota Sampling
 non-probabilistic version of stratified sampling.
 2.2.3.3 Purposive Sampling
 sample is selected based on characteristics of a population and
the objective of the study.
 2.2.3.4 Snowball Sampling
 existing respondents recruit future subjects from among their
acquaintances.

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Data gathering techniques

  • 2. 2.1 Collecting Data  Primary sources of statistical data are government institutions, business agencies, and other organizations  Secondary sources are books, encyclopedia, journals, magazines, and research or studies conducted by other individuals.  1. The Direct or Interview Method  In this method, the researcher has a direct contact with the interviewee.
  • 3.  2. The Indirect or Questionnaire Method  This method makes use of a written questionnaire. The researcher gives or distributes the questionnaire to the respondents either by personal delivery or by mail.  3. The Registration Method  This method of collecting data is governed by laws.  4. The Experimental Method  This method is usually used to find out cause and effect relationship. Scientific researchers often use this method.
  • 4. 2.2 Determining the Sample Size  To determine the sample size, the Slovin’s formula is used. 𝑛 = 𝑁 1 + 𝑁𝑒2 where n = sample size N = population size e = margin of error
  • 5.  N = 10 000  e = 10% or 0.10 𝑛 = 𝑁 1 + 𝑁𝑒2 𝑛 = 10 000 1 + (10 000)(0.10)2 n = 99.01 or 99
  • 6.  N = 10 000  e = 5% or 0.05 𝑛 = 𝑁 1 + 𝑁𝑒2 𝑛 = 10 000 1 + (10 000)(0.05)2 n = 384.62 or 385
  • 7.  2.2.1 Sampling Techniques  Sampling technique is a procedure used to determine the individuals or members of a sample.  2.2.2 Probability Sampling  Probability Sampling is a sampling technique wherein each member or element of the population has an equal chance of being selected as members of the sample.
  • 8. 31871 60770 59235 41702 87134 32839 17850 37359 06728 16314 81076 42172 95646 67486 05167 07819 44085 87246 47378 98338  2.2.2.1 Simple Random Sampling  1. Lottery Method  2. Table of Random Numbers
  • 9.  2.2.2.2 Systematic Random Sampling  taking the 𝑘 𝑡ℎ units from an ordered population, from the 1st unit which is selected at random.  2.2.2.3 Stratified Random Sampling  The word stratified comes from the root word strata which means groups or categories (singular is stratum). When we use this method, we are actually dividing the elements of a population into different categories or subpopulations and then the members of the sample are drawn or selected proportionally from each subpopulation.
  • 10.  2.2.2.4 Cluster Sampling  Sampling wherein groups or clusters instead of individuals are randomly chosen  2.2.2.5 Multi-Stage Sampling  2.2.3 Non-probability Sampling  Sample are drawn form the population based on the judgment of the researchers. The results of a study using this sampling technique are relatively biased. This technique lacks objectivity.
  • 11.  2.2.3.1 Convenience Sampling  sample being drawn from that part of the population that is close to hand.  2.2.3.2 Quota Sampling  non-probabilistic version of stratified sampling.  2.2.3.3 Purposive Sampling  sample is selected based on characteristics of a population and the objective of the study.  2.2.3.4 Snowball Sampling  existing respondents recruit future subjects from among their acquaintances.