non probability sampling

Non probability sampling methods with application, Advantages and Disadvantages

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The process of selecting a sample from a population  without using statistical probability theory is called non probability sampling. For example,

Lets say that a university has roughly 10000 students. These 10000 students are our population (N). Each of the 10000 students is known as a unit, but its hardly possible to get known and select every student randomly.Here we can use Non-Random selection of sample to produce a result.

  • This type of sampling can be used when demonstrating that a particular trait exist in the population.
  • It can also be useful when the researcher has limited budget, time and workforce.

Advantages

  • Select samples purposively
  • Enable researchers to reach difficult to identify members of the population.
  • Lower cost
  • Limited time.

Disadvantages

Difficult to make valid inference about the entire population because the sample selected is not representative. 
We cannot calculate confidence interval.
Selection bias exit which is the huge demerits of non-probability sampling comparing to probability samplig.

Types of non probability sampling

How to analyze data using SPSS (for beginners)-part 1
How to analyze data using SPSS (part-2), how to input data in SPSS
How to analyze data using SPSS (part-3), how to import data in SPSS from excel file
How to analyze data using SPSS (part-4), how to sort data in SPSS

How to analyze data using SPSS ( part-5) how to merge file in SPSS?


How to analyze data using SPSS ( part-6), how to merge file in SPSS
How to analyze data using SPSS (part-7), Finding missing values, Replacing missing values, Coding missing values in SPSS
How to analyze data using SPSS (part-8), variable transformation, Recoding variables in spssUnivariate Analysis (data analysis using spss part-9)
Bivariate analysis| How to analyze data using spss (part-10)
Normality check| how to analyze data using spss (part-11)

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