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SAMPLE  VS SAMPLING ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
 
PURPOSE OF SAMPLING There are six purposes of sampling 1- Economy 2- Timeliness 3- The large size of many  populations  4- Inaccessibility of some of the population 5-  Destructiveness of the observation  6- Accuracy
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NON SAMPLING ERROR A non sampling error is an error that results solely from the manner in which the observations are made. Biased observation due to in accurate measurement can be innocent but very devastating. These unintended errors may result from; THE INTERWIERS EFFECT; the manner in which the response is elicited THE RESPONDENT EFFECT; the social desirability of the persons observed THE PURPOSE OF THE STUDY INDUCED BIAS; the personal biases of the interviewer or research writer
SELECTING THE SAMPLE:- The desirability of a sampling procedure depends on both its vulnerability to error and its cost. Sampling error can be controlled by exercising care in determining the method for choosing the sample.  THE CHANCE COMPONENT or RANDOM errors are minimized by selecting a sufficiently large sample. SAMPLING BIAS on the other hand may be minimized by the wise choice of a sampling procedure
 
RANDOM SAMPLING:- It allows a known probability that each elementary unit will be chosen. For this reason, it is sometimes referred to as a probability sample. NON RANDOM SAMPLING:- It does not allow an equal chance of selection of each individual but it rely on personal judgment of the researcher.
RANDOM & NON RANDOM SAMPLING WITH ITS PROCEDURES
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RESEARCH DESIGN METHODS
Introduction ,[object Object],[object Object],[object Object],[object Object],Research design
Research design ,[object Object],[object Object],[object Object],[object Object],Research design
Choosing a topic ,[object Object],[object Object],[object Object],[object Object],Research design
Theoretical framework ,[object Object],[object Object],[object Object],[object Object],[object Object],Research design
A model of qualitative research design Research design
Philosophical Assumptions ,[object Object],[object Object],[object Object],[object Object],Research design
Research Method ,[object Object],[object Object],[object Object],[object Object],Research design
Data Collection techniques ,[object Object],[object Object],[object Object],[object Object],Research design
DATA ANALYISIS APPROACH ,[object Object],[object Object],Analyzing qualitative data: an overview
Various approaches to interpretation and analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Coding Series of events Critical incidents Decision-modelling Cognitive maps Analytic induction Within case analysis Cross case analysis Pattern matching Explanation building Time series analysis Analyzing qualitative data: an overview
Coding ,[object Object],[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Memos ,[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Analytic induction ,[object Object],[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Series of Events ,[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Critical incidents ,[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Hermeneutics ,[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Semiotics ,[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Content Analysis   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Conversation analysis ,[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Discourse analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Narrative analysis ,[object Object],[object Object],[object Object],[object Object],Analyzing qualitative data: an overview
Metaphorical analysis ,[object Object],[object Object],Analyzing qualitative data: an overview
Written record ,[object Object],[object Object],Research design
The model in perspective Research design

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sampling

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  • 4. PURPOSE OF SAMPLING There are six purposes of sampling 1- Economy 2- Timeliness 3- The large size of many populations 4- Inaccessibility of some of the population 5- Destructiveness of the observation 6- Accuracy
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  • 6. NON SAMPLING ERROR A non sampling error is an error that results solely from the manner in which the observations are made. Biased observation due to in accurate measurement can be innocent but very devastating. These unintended errors may result from; THE INTERWIERS EFFECT; the manner in which the response is elicited THE RESPONDENT EFFECT; the social desirability of the persons observed THE PURPOSE OF THE STUDY INDUCED BIAS; the personal biases of the interviewer or research writer
  • 7. SELECTING THE SAMPLE:- The desirability of a sampling procedure depends on both its vulnerability to error and its cost. Sampling error can be controlled by exercising care in determining the method for choosing the sample. THE CHANCE COMPONENT or RANDOM errors are minimized by selecting a sufficiently large sample. SAMPLING BIAS on the other hand may be minimized by the wise choice of a sampling procedure
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  • 9. RANDOM SAMPLING:- It allows a known probability that each elementary unit will be chosen. For this reason, it is sometimes referred to as a probability sample. NON RANDOM SAMPLING:- It does not allow an equal chance of selection of each individual but it rely on personal judgment of the researcher.
  • 10. RANDOM & NON RANDOM SAMPLING WITH ITS PROCEDURES
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  • 18. A model of qualitative research design Research design
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  • 37. The model in perspective Research design