Practical Research 2 Flashcards

Quiz 1 Lesson 1-2 (35 cards)

1
Q

Is based on the

measurement or quantity.

A

Quantitative Research

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2
Q

Why is quantitative research the go-to approach for scientific inquiry?

A

Because of its ability to test hypotheses.

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3
Q

The basis of formulating and testing
hypotheses are?

A

variables,

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4
Q

Are traits that numerically describe or give meaning to
an object, phenomenon, or group of people.

A

Variables

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5
Q

Is the variable that is manipulated, especially in
experiments.

A

Independent variable

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6
Q

depends on the independent variable.

A

Dependent variable

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7
Q

What are the characteristics of Quantitative research?

A

Controllability
Generalizability
Objectivity
Replicability

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8
Q

Quantitative research should be in an environment where all variables are identified and can be controlled.

A

Controllability

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9
Q

Is from larger sample sizes that the results are based on as a representative of the population.

A

Generalizability

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10
Q

The results of the data are observable and measurable
using structured instruments

A

Objectivity

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11
Q

The research study should be replicable by other teams of researchers that will eventually come up with similar outcomes.

A

Replicability

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12
Q

STRENGTHS OF QUANTITATIVE RESEARCH

A
  1. Analysis of data is assisted with statistical methods.
  2. Large-scale research can be undertaken.
  3. Data can be presented in graphical or tabular form.
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13
Q

WEAKNESSES OF QUANTITATIVE RESEARCH

A
  1. A large sample size requires a lot of time and effort.
  2. Statistical analysis of data requires an expert to perform.
  3. Quantifying and reducing observations to numerical values makes it too simplistic.
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14
Q

Experimental

A

True experimental

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15
Q

Non-Experimental

A
  1. Quasi Experimental
  2. Descriptive Research
  3. Comparative Research
  4. Correlational Research
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16
Q

Objective: to test if sunlight affects the growth of plants.
-Random Sampling
-Experimental and control group

A

True Experimental

17
Q

Objective: to test if sunlight affects the growth of plants.
-Non-random sampling
-Experimental group only

A

Quasi-Experimental

18
Q

Objective: To identify the factors that contribute to the spoilage of food.
-focuses on the description
-does not start with a hypothesis.

19
Q

Objective: to know if there is a significant relationship between the length of sleep and student productivity.

A

Correlational Research

20
Q

Objective: to know if attendance to the school’s summer program is the cause of students’ increased class participation.
-Has 2 groups

A

Comparative Research

21
Q

An example is looking at whether there is an
association between the number of hours a
student spends on social media and his/her
academic performance.

22
Q

An example is looking at the relationship

between the foreign exchange rates and the
credit rating of a particular country.

23
Q

An example is looking at the relationship
between crime rate and the number of votes
a politician garnered during an election.

A

political science,

24
Q

This design makes use of a questionnaire as its
main data collection tool.

A

Survey Research

25
With the use of the cause-and-effect logic, it looks at whether the application of a treatment, known as an intervention, causes an effect on the sample being experimented on (Creswell, 2009; Leavy, 2017).
Experimental Research
26
Main Components of Survey Research
Survey Design Population and sample Survey Instrument Data Analysis and interpretation
27
acquires information at one point in time.
cross-sectional survey
28
acquires information at multiple points in time to compare, contrast, and assess changes in responses.
longitudinal survey
29
It is also called the questionnaire.
Survey instrument
30
is a general group of people with similar characteristics.
population
31
is a subgroup of the population
sample
32
The analysis is both descriptive and inferential.
Data analysis and interpretation
33
provides a general report of the results of the survey which may include frequencies or average scores.( mean, median, etc)
descriptive analysis
34
makes comparisons among the survey results to establish and explain relationships. (T-test)
inferential analysis
35
Main components of experimental research
-Respondents -Variables -stages of the experimental procedure -Instrumentation and materials -Experimental Procedures -Data Analysis and interpretation