What are the advantages of statistical approach?
Advantages
- Because it is secondary data it is usually cheap and is less time consuming because someone else has compiled it.
- Patterns and correlations are clear and visible.
- Taken from large samples so the generalisability is high.
- Can be used and re-used to check different variables.
What are the strength and weaknesses of statistics in research?
Strengths of survey research include its cost effectiveness, generalizability, reliability, and versatility. Weaknesses of survey research include inflexibility and lack of potential depth.
What are the weaknesses of statistical analysis?
The statistical methods don’t study the nature of phenomenon which cannot be expressed in quantitative terms. Such phenomena cannot be a part of the study of statistics. These include health, riches, intelligence etc. It needs conversion of qualitative data into quantitative data.
What are the two main approaches in statistics?
Two types of statistical methods are used in analyzing data: descriptive statistics and inferential statistics.
What are the advantages of statistics in research?
Using appropriate statistics, you will be able to make sense of the large amount of data you have collected so that you can tell your research story coherently and with justification. Put concisely, statis- tics fills the crucial gap between information and knowledge.
What are statistical limitations?
The important limitations of statistics are: (1) Statistics laws are true on average. Statistics are aggregates of facts, so a single observation is not a statistic. Statistics deal with groups and aggregates only. 2) Statistical methods are best applicable to quantitative data.
What are the strengths and weaknesses of qualitative research?
Qualitative method
Strengths | Limitations |
---|---|
Provide more detailed information to explain complex issues | More difficult to analyse; don’t fit neatly in standard categories |
Multiple methods for gathering data on sensitive subjects | Data collection is usually time consuming |
Data collection is usually cost efficient |
What are the weaknesses of a quantitative research?
Limitations and weakness of quantitative research methods
- Improper representation of the target population.
- Inability to control the environment.
- Limited outcomes in a quantitative research.
- Expensive and time consuming.
- Difficulty in data analysis.
What are the different types of statistical methods?
Main types of statistical analysis
- Descriptive statistical analysis.
- Inferential statistical analysis.
- Associational statistical analysis.
- Predictive analysis.
- Prescriptive analysis.
- Exploratory data analysis.
- Causal analysis.
- Data collection.
What are statistical methods?
A statistical method in which a variable is used to isolate variation in a regressor variable that is orthogonal to unobserved components of the outcome of interest. From: Encyclopedia of Health Economics, 2014.
What are the disadvantages of statistics?
Statistics deal with groups and aggregates only. 2) Statistical methods are best applicable to quantitative data. (3) Statistics cannot be applied to heterogeneous data. (4) If sufficient care is not exercised in collecting, analyzing and interpreting the data, statistical results might be misleading.
What are limitations of statistics?
(1) Statistics laws are true on average. Statistics are aggregates of facts, so a single observation is not a statistic. Statistics deal with groups and aggregates only. (2) Statistical methods are best applicable to quantitative data. (3) Statistics cannot be applied to heterogeneous data.
What is strengths and weaknesses analysis?
The Strengths and Weaknesses Analysis can be used to make decisions and to scrutinize an organization’s position, course and strategy. The Strengths and Weaknesses Analysis is also used for planning, marketing, assessment of the competition, organizational and product development, research and team building.
Why are strengths and weaknesses important in the strategic management model?
These matters form an important part of the model as they create a link between the internal and external analyses. The Strengths and Weaknesses Analysis can be used to make decisions and to scrutinize an organization’s position, course and strategy.
How do you use strengths and weaknesses analysis in PDP?
A popular application of the Strengths and Weaknesses Analysis is to use it to improve self-esteem, for instance when preparing for a job interview, but also for drawing up a personal development plan (PDP). When creating a personal Strengths and Weaknesses Analysis one first considers the external factors.
What are the disadvantages of using statistics in research?
Statistical data is open to abuse it can be manipulated and phrased to show the point the researcher wants to show (effects the objectivity)