Week 1 Flashcards
uses scientifically collected and statistically analyzed data to investigate observable phenomena.
Quantitative Research
is any existing or observable fact or situation that we want to unearth further or understand.
Phenomenon
are generally easier to collect than descriptions or phrases used in qualitative research.
Numerical Data
To obtain more meaningful statistical result, the data must come from
CHARACTERISTICS OF QUANTITATIVE RESEARCH
- Large Sample Size
Data gathering and analysis of results are done accurately, objectively, and are unaffected by the researcher’s intuition and personal guesses.
- Objective
Data is numerical, which makes presentation through graphs, charts, and tables possible and for better conveyance and interpretation.
- Visual Result Presentation
The uses of statistical tools give way for a less time consuming data analysis.
4.Faster Data Analysis
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
Depending on the type of data needed, collection can be quick and easy
6.Fast Data Collection
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
The Quantitative method can be repeated to verify findings enhancing its validity, free from false or immature conclusions.
- Replication
STRENGTH OF QUANTITATIVE RESEARCH
- Quantitative research can be replicated or repeated.
STRENGTH OF QUANTITATIVE RESEARCH
- Findings are generalizable to the population.
STRENGHT OF QUANTITATIVE RESEARCH
- Conclusive establishment of cause and effect.
STRENGTH OF QUANTITATIVE RESEARCH
- Numerical and quantifiable data can be used to predict outcomes
STRENGTH OF QUANTITATIVE RESEARCH
- Fast and easy data analysis using statistical software.
STRENGTH OF QUANTITATIVE RESEARCH
- Fast and easy data gathering
STRENGTH OF QUANTITATIVE RESEARCH
- Very Objective
STRENGTH OF QUANTITATIVE RESEARCH
- Validity and reliability can be established.
Weaknesses Of Quantitative Research
- It lacks the necessary data to explore a problem or concept in depth.
- It does not provide comprehensive explanation of human experiences.
- Some information cannot be described by numerical data such as feelings, and beliefs.
- The research design is rigid and not very flexible.
- The participants are limited to choose only from the given responses.
- The respondents may tend to provide inaccurate responses.
- A Large sample size makes data collection more costly.
is a broad spectrum that it can be classified into smaller and more specific kinds: descriptive, correlational, ex post facto, quasi-experimental, and experimental.
Kinds of Quantitative Research
is used to describe a particular phenomenon by observing it as it occurs in nature.
Descriptive Design
identifies the relationship between variables.
correlational design
is used to investigate a possible relationship between previous events and present conditions.
Ex post facto design
is used to establish the cause and effect relationship of variables.
Quasi-experimental design
like quasi- experimental is used to establish the cause and effect relationship of two or more variables.
Experimental Design
