記憶度
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問題一覧
1
To obtain more meaningful statistical result, the data must come from a large sample size.
Large Sample Size
2
The determination of the different kinds of physical activities and how often high school students do it during the quarantine period.
Descriptive
3
Data is numerical, which makes presentation through graphs, charts, and tables possible and for better conveyance and interpretation.
Visula Result Presentation
4
How does the parent’s academic achievement affect the children obesity?
Ex post facto
5
What does the researcher use to allow the researcher to collect data from a large sample size efficiently.
Standardized research
6
why does quasi experimental has a lesser validity
It is because of the absence of the random selection and assignment of subject
7
Why is quantitative research scientific
It is scientific to the fact that it uses scientific method to gather and collect data
8
Characteristics of quantitative research
Large Sample Size, Objective, Visual Result Presentation, Faster Data Analysis, Generalized Data, Fast Data Collection, Reliable and Replication
9
Conclusive establishment of cause and effect
Strength
10
Example of statistical analysis
Pearsons r, r test, annalysis of variance (ANOVA)
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Numerical and quantifiable data can be used to predict outcomes
Strength
12
Example of rating scale
Likert Scale
13
Quantitative Research can be replicated or repeated
Strength
14
It does not provide comprehensive explanation of human experiences
Weakness
15
Meaning of ex post facto
After the fact
16
Is used to describe a particular phenomenon by observing it as it occurs in nature.
Descriptive quantitative research
17
Some information cannot be described by numerical data such as feelings, and beliefs
Weakness
18
The independent variable is identified but not manipulated
Quasi Experiemental Design
19
There is no experimental manipulation and the researcher does not start with a hypothesis.
Descriptive
20
The use of a statistical tools give way for a less time- consuming data analysis.
Faster Data Analysis
21
Why is data in correlational design collected by observation
Because it does not consider cause and effect
22
The research design is rigid and not very flexible
Weakness
23
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.
Reliable
24
Validity and reliability can be established
Strength
25
There is no experimental manipulation in this design.
Descriptive, Correlational and Ex-post facto design
26
Very objective
Strength
27
Findings are generalizable to the population
Strength
28
What are the kinds of quantitative research
Descriptive, correlational, ex-post facto, quasi experimental and experimental
29
What would be the next once data is collected
It will undergo to statiscal analysis
30
Is any existing or observable fact or situation that we want to unearth further or understand.
Phenomenon
31
Identifies the relationship between variables.
Correlational design
32
The goal of this research is only to describe the person or object of the study.
Descriptive
33
The participant are limited to choose only from the given responses
Weakness
34
Therelationship between the amount of physical activity done and student academic achievement.
Correlational Design
35
Fast and easy data analysis using statistical software
Strenth
36
Used to establish the cause and effect of an variable
Quasi Experimental Design
37
The group exposed to treatment (experimental) are compared to the group unexposed to treatment (control)
Quasi Experimental Design
38
looks at a possible causes of an already occurring phenomenon
Ex post facto
39
A large sample size makes data colleection more costly
Weakness
40
Depending on the type of data needed, collection can be quick and easy. Quantitative research uses standardized research instruments that allow the researcher to collect data from a large sample size efficiently. For instance, a single survey form can be administered simultaneously to collect various measurable characteristics like age, gender, socio-economic status, etc.
Faster Data Collection
41
It lacks the necessary data to explore a proble or concept in depth
Weakness
42
Uses scientifically collected and statistically analyzed data to investigate observable phenomena.
Quantitative Research
43
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.
Generalized Data
44
Used to established cause and effect relationship of two or more variables
Experimental Design
45
Data gathering and analysis of results are done accurately, objectively, and are unaffected by the researcher’s intuition and personal guesses.
Objective
46
is used to investigate a possible relationship between previous events and present conditions.
Ex post facto design
47
Provides a more conclusive result because it uses random assignment of two or more variables
Experiemental Design
48
The Quantitative method can be repeated to verify findings enhancing its validity, free from false or immature conclusions.
Relication