Lesson 3 Flashcards

1
Q

various ways of collecting or gathering data

A
  1. Direct or Interview Method
  2. Indirect or Questionnaire Method
  3. The Registration Method
  4. Experimentation Method
  5. The Observation Method
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2
Q

In this method, the researcher has a direct contact with the interviewee

A

Direct or Interview Method

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3
Q

the researcher gives or distribute the questionnaire to the respondents either by personal delivery of by mail using this method

A

Indirect or Questionnaire Method

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4
Q

This method of collecting data is governed by laws

A

The Registration Method

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5
Q

is usually used to find out cause and effect relationships. Scientific researchers often use this method

A

Experimentation Method

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6
Q

This method is utilized to gather data regarding attitudes, behavior, values, cultural patterns of the samples under investigations

A

The Observation Method

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7
Q

is a small representative of a population is used

A

sample

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8
Q

To determine the sample size from a given population size, this formula is used

A

Slovin’s formula

n=(N)/(1 + Ne^(2))

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9
Q

is a procedure used to determine the individuals or members of a sample

A

Sampling technique

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10
Q

the two sampling techniques

A

Probability and Non-probability sampling

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11
Q

a sampling technique wherein each member or element of the population has an equal chance of being selected as members of the sample.

A

Probability sampling

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12
Q

is a sampling technique wherein members of the sample are drawn from the population based on the judgement of the researchers

A

Non-Probability sampling

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13
Q

Probability sampling methods

A
  1. Random Sampling
  2. Systematic Sampling
  3. Stratified Random Sampling
  4. Cluster Sampling
  5. Multi-stage Sampling
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14
Q

Non-Probability Sampling Methods

A
  1. Convenience Sampling
  2. Quota Sampling
  3. Purposive Sampling
  4. Judgement Sampling
  5. Snowball Sampling
  6. Voluntary Sampling
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15
Q

a sample is selected by listing a population sequentially and choosing members at regular intervals

A

Systematic Sampling

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16
Q

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 form each subpopulation.

A

Stratified Random Sampling

17
Q

is a process of selecting clusters from a population which is very large or widely spread out over a wide geographical area.

A

Cluster sampling

18
Q

is a combination of several sampling techniques

A

Multi-stage sampling

19
Q

is a process of selecting a group of individuals who (conveniently) are available for study.

A

Convenience Sampling

Example: A researcher may only include close friends and clients to be included in the sample population.

20
Q

is applied when an investigator survey collets information from an assigned number, or quota of individuals from one of several sample units

A

Quota sampling

21
Q

is a process of selecting based from judgement to select a sample which researcher believed, based on prior information, will provide the data they need.

A

Purposive sampling

Example: A human resource director interviews the qualified applicants ina supervisory position. (Note: Qualified applicants are selected by the HR Director which is based from his own judgement.)

22
Q

is a technique when the researcher relies on his/her personal/sound judgement in choosing to participate in the study or the sample selected is based on the opinion of an expert.

A

Judgement sampling

Example: In a study wherein a researcher wants to know it takes to be a topnotcher in a bar examination, the only people who can give the researcher firsthand advise are individuals who are bar topnotcher

23
Q

is technique in which one or more members of a population are located and used to lead the researchers to other members of the population.

A

Snowball Sampling

24
Q

is a technique when sample are composed of respondents who are self-select into the study/survey

A

Voluntary Sampling