Data Collection Flashcards

1
Q

Two classifications of Data Sources

A

Primary & Secondary

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2
Q

the data collector is the one using the data for analysis.
- Data from a political survey
- Data collected from an experiment
- Observed data

A

Primary

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3
Q

the person performing data analysis is not
the data collector.
- Analyzing census data
- Examining data from print journals or data
published on the internet (opensource
database)

A

Secondary

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4
Q

Primary Data Collection methods:

A
  1. Interview Method
  2. Questionnaire Method
  3. Observation Methods
  4. Registration Methods
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5
Q

involves asking questions and getting
answers from participants in a study.

A

Interview methods

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6
Q

Interviewing has a variety of forms including —–

A

individual, face-to-face interviews and face-to-face group interviewing.

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7
Q

is a research instrument consisting of a series of questions and other prompts for the purpose of gathering information from respondents. Although they are often designed for statistical analysis of the responses, this is not always the case.

A

Questionnaire Method

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8
Q

is a fundamental way of finding out about the world around us. As human beings, we are very well equipped to pick up detailed information about our environment through our senses. However, as a method of data collection for research purposes, observation is more than just looking or listening.

A

Observation Method

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9
Q

Enforced by private organizations or government agencies for recording purposes. This method of gathering data is perhaps the most reliable because this is enforced by law.
Examples: Birth and Death rates (PSA), Number of registered cars (LTO), List of registered voters
(COMELEC)

A

Registration Method.

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10
Q

WHY DO WE NEED SAMPLES IN DOING RESEARCH?

A

is less time-consuming
Less costly
analysis of a sample is less complicated and
more practical

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11
Q

DETERMINING THE SAMPLE SIZE

A

Using a Census
Using Sample Size of Similar Study
Using Published Tables
Using Formulas to determine Sample Size

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12
Q

Practical for small population.
ü Use the whole population as the sample
ü Not possible for large populations
ü Attractive for small populations (n < 200)
ü Eliminates sampling error unlike using sample

A

DETERMINING THE SAMPLE SIZE: USING CENSUS

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13
Q

May run the risk of repeating errors that were made in determining sample size for that study

A

DETERMINING THE SAMPLE SIZE: USING SAMPLE SIZE OF A SIMILAR STUDY

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14
Q

Rely on published tables which provide the sample size for a given set of criteria.

A

DETERMINING THE SAMPLE SIZE: USING PUBLISHED TABLES

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15
Q

is the act, process or technique of selecting an appropriate sample, or a representative part of the population for the purpose of determining the characteristics of the whole population.

A

Sampling

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16
Q

refers to the selection of a sample
from a population based on the principle of
randomization, that is, random selection or chance.

A

Probability Sampling

17
Q

refers to the selection of a sample from a population using subjective method.

A

Non-Probability Sampling

18
Q

The researcher randomly ask the closest
to him/her and ask for few questions for the survey

A
  1. Convenience Sampling
19
Q

Samples are obtained by choosing the
respondents based on the predetermined criteria set by the researcher.

A
  1. Judgmental or Purposive
    Sampling
20
Q

Researcher’s participants recruit other participants for the test of study. It is used where potential participants are hard to find or private information and safety of the participant matters.

A

Snowballing

21
Q

Researchers create a sample involving
individuals that represent a population. Researchers choose these individuals according to specific traits or qualities

A

Quota Sampling