Practical Research (2ND SEM - Part II) Last Examination Flashcards
4 types of Probability Sampling
Simple Random Sampling
Stratified Random Sampling
Cluster Sampling
Systematic Sampling
6 types of Non- Probability Sampling
Accidental or Convenience Sampling
Modal Instance Sampling
Expert Sampling
Proportional or Non - Proportional Quota Sampling
Heterogeneity or Diversity Sampling
Snowball Sampling
4 Calculating sample size for a simple random sampling
Population Size
Margin error
Confidence Level
Standard deviation
2 Technical Qualities of Research Instruments
Validity
Reliability
Way of choosing individuals in which all members of the accessible population are given an equal chance to be selected.
Simple Random Sampling
The samples are chosen from these subgroups and not directly from the entire population.
Stratified Random Sampling
This procedure is usually applied in large-scale studies,
geographical spread out of the population is a challenge, and gathering information will be very time-consuming
Cluster Sampling
This procedure is as simple as selecting samples every nth (example every 2nd, 5th) of the chosen population until arriving at a desired total number of sample size. Therefore, the selection is based on a predetermined interval
Systematic Sampling
Participants are sampled according to what is conveniently available
Accidental or Convenience Sampling
Participants who exhibit the “most common” occurrence are sampled accordingly
Modal Instance Sampling
Participants who are identified as “experts” or those participants that can give a high-quality information are sampled
Expert Sampling
A predetermined number or percentage of the population is sampled
Proportional and Non- Proportional Quota Sampling
Samples who exhibit a wide spectrum of the identified characteristic are sampled.
Heterogeneity or diversity sampling
Participants identify other potential participants to be included as samples
Snowball Sampling
5 Steps in Selecting a Research Instrument
Identify a dependent variable
Conceptually define the variable
Identify nuances and particulars of the variables
Operationally define the variable
Select an appropriate instrument