Week 1 Flashcards

1
Q

uses scientifically collected and statistically analyzed data to investigate observable phenomena.

A

Quantitative Research

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2
Q

is any existing or observable fact or situation that we want to unearth further or understand.

A

Phenomenon

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3
Q

are generally easier to collect than descriptions or phrases used in qualitative research.

A

Numerical Data

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4
Q

To obtain more meaningful statistical result, the data must come from

A

CHARACTERISTICS OF QUANTITATIVE RESEARCH

  1. Large Sample Size
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5
Q

Data gathering and analysis of results are done accurately, objectively, and are unaffected by the researcher’s intuition and personal guesses.

A
  1. Objective
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6
Q

Data is numerical, which makes presentation through graphs, charts, and tables possible and for better conveyance and interpretation.

A
  1. Visual Result Presentation
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7
Q

The uses of statistical tools give way for a less time consuming data analysis.

A

4.Faster Data Analysis

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8
Q

Data taken from a sample can be applied to the population if sampling is done accordingly, i.e., sufficient size and random samples were taken.

A
  1. Generalized Data
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9
Q

Depending on the type of data needed, collection can be quick and easy

A

6.Fast Data Collection

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10
Q

Data is taken and analyzed objectively from a sample as a representative of the population, making it more credible and reliable for policymaking and decision making.

A
  1. Reliable Data
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11
Q

The Quantitative method can be repeated to verify findings enhancing its validity, free from false or immature conclusions.

A
  1. Replication
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12
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Quantitative research can be replicated or repeated.
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13
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Findings are generalizable to the population.
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14
Q

STRENGHT OF QUANTITATIVE RESEARCH

A
  1. Conclusive establishment of cause and effect.
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15
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Numerical and quantifiable data can be used to predict outcomes
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16
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Fast and easy data analysis using statistical software.
17
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Fast and easy data gathering
18
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Very Objective
19
Q

STRENGTH OF QUANTITATIVE RESEARCH

A
  1. Validity and reliability can be established.
20
Q

Weaknesses Of Quantitative Research

A
  1. It lacks the necessary data to explore a problem or concept in depth.
  2. It does not provide comprehensive explanation of human experiences.
  3. Some information cannot be described by numerical data such as feelings, and beliefs.
  4. The research design is rigid and not very flexible.
  5. The participants are limited to choose only from the given responses.
  6. The respondents may tend to provide inaccurate responses.
  7. A Large sample size makes data collection more costly.
21
Q

is a broad spectrum that it can be classified into smaller and more specific kinds: descriptive, correlational, ex post facto, quasi-experimental, and experimental.

A

Kinds of Quantitative Research

22
Q

is used to describe a particular phenomenon by observing it as it occurs in nature.

A

Descriptive Design

23
Q

identifies the relationship between variables.

A

correlational design

24
Q

is used to investigate a possible relationship between previous events and present conditions.

A

Ex post facto design

25
Q

is used to establish the cause and effect relationship of variables.

A

Quasi-experimental design

26
Q

like quasi- experimental is used to establish the cause and effect relationship of two or more variables.

A

Experimental Design