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UNIT 4
RESEARCH METHODS:
(Techniques of sampling- sampling and randomness- principles of randomization- random assignment-
methods- random sampling- stratified sampling, incidental sampling- purposive samples of one to one matched
sampling- six of sampling)
Submitted to Submitted by
DR. SATISH K. HIMANI BANSAL
MVSCOSH MASLP 1st year
POPULATION
(entire group)
SAMPLE
(smaller set of
data)
SAMPLING
(selection of a subset)
Reduced cost &
time
Accuracy of
data
Apply
properties to a
larger
population
Intensive &
exhaustive data
Reduced
resource
deployment
ADVANTAGES
Of
SAMPLING
PROBABILITY
SAMPLING
METHODS
SIMPLE
RANDOM
SAMPLING
SYSTEMATIC
SAMPLING
STRATIFIED
RANDOM
SAMPLING
CLUSTER
SAMPLING
SAMPLING
TECHNIQUES
I. PROBABILITY/RANDOM
SAMPLING METHODS
Cost Effective
Involves lesser degree of judgment
Comparatively easier way of sampling
Less time consuming
Can be done even by non- technical persons
Sample representative of population
ADVANTAGES Of PROBABILITY SAMPLING
DISADVANTAGES Of PROBABILITY SAMPLING
Chances of selecting
specific class of samples
only
Redundant and
monotonous work
SAMPLING TECHNIQUES
II. NON PROBABILITY/NON RANDOM SAMPLING
METHODS
CONVENIENCE
SAMPLING
PURPOSIVE
SAMPLING
SNOWBALL
SAMPLING
QUOTA SAMPLING
NON PROBABILITY
SAMPLING
METHODS
ADVANTAGES Of NON PROBABILITY SAMPLING
Inexpensive
Reduce
respondent
burden
Quick and
convenient
DISADVANTAGES Of NON PROBABILITY
SAMPLING
Selection bias
Noncoverage (undercoverage) bias
Difficulty of assessing the quality
PRINCIPLES OF EXPERIMENTAL DESIGN
RANDOMIZATION
• The allocation of treatment to experimental
units at random to avoid any bias in the
experiment resulting from the influence of
some extraneous unknown factor that may
affect the experiment.
REPLICATION
• Any treatment is repeated a number
of times to obtain a valid and more
reliable estimate than which is
possible with one observation only.
LOCAL CONTROL
•The experimental units are divided into
different homogeneous groups within the
blocks, then the variation among the blocks
is eliminated and ideally, the error
component will contain the variation due to
the treatments only.
1. State the difference between probability and non- probability sampling. Explain probability sampling
techniques. (8 marks, 2019)
2. Discuss the advantages of sampling over census. Explain different random sampling techniques. (16
marks, 2015)
3. Define population and sample. Distinguish between probability and non-probability sampling. (16 marks,
2014)
4. Explain any two types of probability and non- probability sampling techniques. (16 marks, 2014)
5. What is sampling? Explain any two sampling techniques. (8 marks, 2013)
6. Short note on simple random sampling. (8 marks, 2012)
7. Short note on stratified sampling method. (4 marks, 2011)
1. Clinical Research in Communicative Disorders (2nd edition). M.N. Hegde.
2. https://www.scribbr.com/methodology/sampling-methods/
3. https://corporatefinanceinstitute.com/resources/knowledge/other/random-sampling/
4. https://byjus.com/maths/random-sampling/
5. https://www.investopedia.com/ask/answers/042815/what-are-disadvantages-using-simple-random-sample-
approximate-larger-population.asp
6. http://home.iitk.ac.in/~shalab/anova/chapter4-anova-experimental-design-analysis.pdf
7. https://www.wisdomjobs.com/e-university/research-methodology-tutorial-355/basic-principles-of-
experimental-designs-11465.html
8. https://www.emathzone.com/tutorials/basic-statistics/basic-principles-of-experimental-designs.html
9. https://www.qualtrics.com/au/experience-management/research/non-probability-sampling/
10. https://allthingsstatistics.com/miscellaneous/advantages-disadvantages-stratified-random-sampling/

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SAMPLING MASLP

  • 1. UNIT 4 RESEARCH METHODS: (Techniques of sampling- sampling and randomness- principles of randomization- random assignment- methods- random sampling- stratified sampling, incidental sampling- purposive samples of one to one matched sampling- six of sampling) Submitted to Submitted by DR. SATISH K. HIMANI BANSAL MVSCOSH MASLP 1st year
  • 2. POPULATION (entire group) SAMPLE (smaller set of data) SAMPLING (selection of a subset)
  • 3. Reduced cost & time Accuracy of data Apply properties to a larger population Intensive & exhaustive data Reduced resource deployment ADVANTAGES Of SAMPLING
  • 5.
  • 6. Cost Effective Involves lesser degree of judgment Comparatively easier way of sampling Less time consuming Can be done even by non- technical persons Sample representative of population ADVANTAGES Of PROBABILITY SAMPLING
  • 7. DISADVANTAGES Of PROBABILITY SAMPLING Chances of selecting specific class of samples only Redundant and monotonous work
  • 8. SAMPLING TECHNIQUES II. NON PROBABILITY/NON RANDOM SAMPLING METHODS CONVENIENCE SAMPLING PURPOSIVE SAMPLING SNOWBALL SAMPLING QUOTA SAMPLING NON PROBABILITY SAMPLING METHODS
  • 9.
  • 10. ADVANTAGES Of NON PROBABILITY SAMPLING Inexpensive Reduce respondent burden Quick and convenient
  • 11. DISADVANTAGES Of NON PROBABILITY SAMPLING Selection bias Noncoverage (undercoverage) bias Difficulty of assessing the quality
  • 12.
  • 13. PRINCIPLES OF EXPERIMENTAL DESIGN RANDOMIZATION • The allocation of treatment to experimental units at random to avoid any bias in the experiment resulting from the influence of some extraneous unknown factor that may affect the experiment. REPLICATION • Any treatment is repeated a number of times to obtain a valid and more reliable estimate than which is possible with one observation only. LOCAL CONTROL •The experimental units are divided into different homogeneous groups within the blocks, then the variation among the blocks is eliminated and ideally, the error component will contain the variation due to the treatments only.
  • 14. 1. State the difference between probability and non- probability sampling. Explain probability sampling techniques. (8 marks, 2019) 2. Discuss the advantages of sampling over census. Explain different random sampling techniques. (16 marks, 2015) 3. Define population and sample. Distinguish between probability and non-probability sampling. (16 marks, 2014) 4. Explain any two types of probability and non- probability sampling techniques. (16 marks, 2014) 5. What is sampling? Explain any two sampling techniques. (8 marks, 2013) 6. Short note on simple random sampling. (8 marks, 2012) 7. Short note on stratified sampling method. (4 marks, 2011)
  • 15. 1. Clinical Research in Communicative Disorders (2nd edition). M.N. Hegde. 2. https://www.scribbr.com/methodology/sampling-methods/ 3. https://corporatefinanceinstitute.com/resources/knowledge/other/random-sampling/ 4. https://byjus.com/maths/random-sampling/ 5. https://www.investopedia.com/ask/answers/042815/what-are-disadvantages-using-simple-random-sample- approximate-larger-population.asp 6. http://home.iitk.ac.in/~shalab/anova/chapter4-anova-experimental-design-analysis.pdf 7. https://www.wisdomjobs.com/e-university/research-methodology-tutorial-355/basic-principles-of- experimental-designs-11465.html 8. https://www.emathzone.com/tutorials/basic-statistics/basic-principles-of-experimental-designs.html 9. https://www.qualtrics.com/au/experience-management/research/non-probability-sampling/ 10. https://allthingsstatistics.com/miscellaneous/advantages-disadvantages-stratified-random-sampling/