Module 1 Lesson 2 Flashcards

1
Q

refers to the process by which subjects, objects, and
practices are transformed into digital data.

A

‘Datafication’

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2
Q

Collected from an original
source of data

A

Primary DATA

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3
Q

data: Data collected from
interviews and surveys

A

Small data

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4
Q

Data collected from
transactions

A

Big data

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5
Q

Collected from published or
unpublished source of data

A

Secondary DATA

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6
Q

METHODS OF COLLECTION

A

INTERVIEW Method
QUESTIONNAIRE Method
REGISTRATION Method
OBSERVATION Method
EXPERIMENTAL Method

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7
Q

this is a direct way or personal contact with
the primary source of data

A

INTERVIEW Method

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8
Q

series of well - planned questions are asked to
the person (subject of the study)

A

INTERVIEW Method

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9
Q

this is an indirect way of collecting data that
may done online or through paper distributed
to the respondents of the study

A

QUESTIONNAIRE Method

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10
Q

this entails creating valid and reliable
questions, and selecting an appropriate
method for administration

A

QUESTIONNAIRE Method

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11
Q

gathering is done from concerned offices

A

REGISTRATION Method

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12
Q

data gathering is done purely based on the use of senses

A

OBSERVATION Method

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13
Q

gathering is done thru experimentation

A

EXPERIMENTAL Method

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14
Q

looking into the cause and effect relationships
of a certain parameter or event under a
controlled condition, which is commonly used
in the field of science

A

EXPERIMENTAL Method

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15
Q

6Vs of Big data

A

Volume
Velocity
Veracity
Value
Variety
Validity

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16
Q

The action or process of taking samples of something for analysis.

A

Data Sampling

17
Q

Inherent
trait that researchers follow whenever they want to investigate or look into a
‘gap’

A

Data Sampling

18
Q

Sampling Techniques

A

SIMPLE RANDOM SAMPLING
SYSTEMATIC RANDOM SAMPLING - stratified random sampling; cluster sampling
PURPOSIVE SAMPLING
QUOTA SAMPLING
CONVENIENCE SAMPLING

19
Q

equal chances of being chosen to

be included in the study

A

SIMPLE RANDOM SAMPLING

20
Q

population is divided in different classes and
each class must be represented in the study

A

Stratified Random sampling

21
Q

in this techniques samples are selected not by individuals
but by groups or cluster.

A

Cluster Sampling

22
Q

The samples were chosen with the sole purpose that they are knowledgeable
or suited to answer inquiries of the study

A

Purposive Sampling

23
Q

This is commonly used in polls. The research sets a required number of
samples (quota) then, after meeting it the collection of data is done.

A

QUOTA SAMPLING

24
Q

The samples were chosen based on the accessibility of the researcher to
the target participants in the study.

A

CONVENIENCE SAMPLING