問題一覧
1
Here, the independent variable is identified but not manipulated. The researcher does not modify pre- existing groups of subjects.
A quasi-experimental design
2
These are countable whole numbers. It does not take negative values or values between fixed points. For example: number of students in a class, group size and frequency.
Discrete variables
3
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.
Fast data collection
4
Internal validity
Accurate conclusion
5
Qualitative Variables
Dichotomous, Nominal variable, Ordinal variable
6
It is used to investigate a possible relationship between previous events and present conditions.
Ex post facto design
7
It is also called numerical variables are the type of variables used in quantitative research because they are numeric and can be measured. Under this category are discrete and continuous variables
Quantitative Variables
8
When the researcher fails to control the extraneous variable that it caused considerable effect to the outcome, the extraneous variable becomes a _____
Confounding Variable
9
It simply defines groups of subjects. Here you may have more than 2 categories of equivalent magnitude. For example, a basketball player's number is used to distinguish him from other players. It certainly does not follow that player 10 is better than player 8. Other examples are blood type, hair color and mode of transportation
Nominal variable
10
From the name itself denotes that a variable is ranked in a certain order. This variable can have a qualitative or quantitative attribute. For example, a survey questionnaire may have a numerical rating as choices like 1, 2, 3, 4, 5ranked accordingly (5-highest, 1-lowest) or categorical rating like strongly agree, agree, neutral, disagree and strongly disagree. Other examples or _____ : cancer stage (Stage 1, Stage II, Stage III). Spotify Top 20 hits, academic honors (with highest, with high, with honors).
Ordinal variable
11
Uses scientifically collected and statistically analyzed data to investigate observable phenomena
Qualitative research
12
It is used to establish the cause and effect relationship of variables. Although it resembles the experimental design, the _____ has lesser validity due to the absence of random selection and assignment of subjects.
A quasi-experimental design
13
Data is collected by observation since it does not consider the cause and effect for example, the relationship between the amount of physical activity done and student academic achievement.
The correlational design
14
It is like quasi- experimental is used to establish the cause and effect relationship of two or more variables.
Experimental design
15
Kinds of Quantitative Research
Descriptive design, The correlational design, Ex post facto design, A quasi-experimental design, Experimental design
16
Meaning of ANOVA
Analysis of Variance
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These are quantitative variables where the _____ or differences between consecutive values are equal and meaningful but the numbers are arbitrary. For example, the difference between 36 degrees and 37 degrees is the same as between 100 degrees and 101 degrees. The zero point does not suggest the absence of a property being measured. Temperature at 0 degree Celsius is assigned as the melting point of ice. Other examples of _____ would be year and IQ score.
Interval
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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 data
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The Quantitative method can be repeated to verify findings enhancing its validity, free from false or immature conclusions.
Replication
20
It is a broad spectrum that it can be classified into smaller and more specific kinds: descriptive, correlational, ex post facto, quasi-experimental, and experimental.
Quantitative research
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It identifies the relationship between variables
The correlation design
22
Weaknesses of Quantitative Research
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 particpants 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.
23
It is used to describe a particular phenomenon by observing it as it occurs in nature. There is no experimental manipulation and the researcher does not start with a hypothesis.
Descriptive design
24
It is also identified as the presumed effect
Dependent variable
25
The use of a statistical tools give way for less time consuming data analysis
Faster data analysis
26
Data is numerical, which makes presentation through graphs, charts, and tables possible and for better conveyance and interpretation
Visual result presentation
27
It is any existing or observable fact or situation that we want to unearth further or understand
Phenomenon
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The group exposed to treatment (experimental) is compared to the group unexposed to treatment (control): example, the effects of unemployment on attitude towards following safety protocol in ECQ declared areas.
A quasi-experimental design
29
Numerical data have two levels of measurement, namely :
Interval, Ratio
30
It is anything that has a quantity or quality that varies
Variable
31
Strengths of Quantitative Research
1. Quantitative research can be replicated or repeated., 2. Findings are generalizable to the population. , 3. Conclusive establishment of cause and effect, 4. Numerical and quantifiable data can be used to predict outcomes, 5. Fast and easy data analysis using statistical software., 6. Fast and easy data gathering, 7. Very objective, 8. Validity and reliability can be established
32
To obtain more meaningful statistical result, the data must come from a _____
Large sample size
33
The goal of ______ research is only to describe the person or object of the study. An example of _____ is the determination of the different kinds of physical activities and how often high school students do it during the quarantine period."
Descriptive design
34
The term "_____", means after the fact, looks at the possible causes of an already occurring phenomenon.
Ex post facto
35
_____ are generally easier to collect than descriptions or phrases used in qualitative research.
Numerical data
36
These are also referred to as Categorical Variables are not expressed in numbers but are descriptions or categories. It can be further divided into nominal, ordinal or dichotomous
Qualitative Variables
37
These are consisting of only two distinct categories or values. For example, a response to a question either be a yes or no.
Dichotomous
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It is important to note other factors that may influence the outcome (dependent variable) which are not manipulated or pre-defined by the researcher. These factors are called _____
Extraneous Variables
39
It is also identified as the presumed cause
Independent variable
40
This design provides a more conclusive result because it uses random assignment of subjects and experimental manipulations. For example, a comparison of the effects of various blended learning to the reading comprehension of elementary pupils.
Experimental design
41
It take fractional (non-whole number) values that can either be a positive or a negative. Example: height, temperature.
Continuous variables
42
This type of data is similar to interval, the only difference is the presence of a true zero value. The zero point in this scale indicates the absence of the quantity being measured Examples are age, height, weight and distance.
Ratio
43
An example of this is "how does the parent's academic achievement affect the children obesity?"
Ex post facto design
44
Data gathering and analysis of results are done accurately, objectively, and are unaffected by the researcher's intuition and personal guesses
Objective
45
Characteristics of Quantitative Research
1. Large sample size, 2. Objective, 3. Visual result presentation, 4. Faster data analysis, 5. Generalized data, 6. Fast data collection, 7. Reliable data, 8. Replication
46
Data taken from a sample can be applied to the population if sampling is done accordingly, Le, sufficient size and random samples were taken.
Generalized data