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Sampling and Data Collection

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Sampling and Data Collecti on
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Page 1: Sampling and Data Collection

Sampling and Data Collection

Page 2: Sampling and Data Collection

Population, Census and Sample“The aggregate of all the elements sharing some common sets of characters” is Population in percentage“ Complete enumerations of the elements of a population” is census“ Subgroup of the element's of a population selected for the study is sample.

Area (Population) like All Working Class employees, Classification of area (Census) Middle /Top Management, Public/ Private, Classification selected from area (Sample) in banks

Page 3: Sampling and Data Collection

Target Population, Element, Unit & Sample FrameTarget Population- whose inference has to be made.

Element- which possesses the information sought by researcher.

Sample Unit- units containing the elements to be sampled.

It is a kind of list or set of directions for identifying the target population.

Page 4: Sampling and Data Collection

Classification of Sampling

Non- Probability Probability1. Quota Simple Random2. Judgment Stratified Random3. Snow Ball Cluster4. Convenience Systematic

Random5. Area 6.

Page 5: Sampling and Data Collection

Graphical representation of NP Sampling 1. Convenience Sampling

Group C assembles at most convenient time hence considered by researcher.

A B C D E1 7 13 20 26

2 8 14 21 27

3 9 15 22 28

4 10 16 23 29

5 11 17 24 30

6 12 18 25 31

Page 6: Sampling and Data Collection

2. Judgmental

Researcher considered group A, C, D and E, eliminating group B based on some typicality's and Convenient few characters were selected.

A B C D E

1 5 9 13 17

2 6 10 14 18

3 7 11 15 19

4 8 12 16 20

Page 7: Sampling and Data Collection

Quota Sampling

A quota of one element is imposed on each group with similar characters.

A B C D E1 6 11 16 212 7 12 17 22

3 8 13 18 23

4 9 14 19 24

5 10 15 20 25

Page 8: Sampling and Data Collection

Snow-Ball

TO STUDY SPECIAL CHARACTERS OF RESPONDENTS. GENERALLY USED TO STUDIE SPECIAL BEHAVIORAL CASUSES.

A B C D E1 6 11 16 21

2 7 12 17 22

3 8 13 18 23

4 9 14 19 24

5 10 15 20 25

12 &13

Page 9: Sampling and Data Collection

Probability Sampling-Simple Random Sampling Simple Random

A B C D1 1 1 1 1

1 1 1 1 1

1 1 1 1 1

1 1 1 1 1

1 1 1 1 1

Page 10: Sampling and Data Collection

Stratified Sampling

Page 11: Sampling and Data Collection

How to Determine Sample Size

Initially it is required to know about certain symbols and characters to determine sample size like:1. Parameter- description of fixed Characters like consumers2. Statistics- description of fixed characteristics or measures

like consumers, consuming touch screen mobile phones3. Precision level- maximum permissible level of difference

between sample statistics and Population parameter4. Confidence interval- range in which true population

parameter will fall5. Confidence level- probability that interval will include the

population parameter

Page 12: Sampling and Data Collection
Page 13: Sampling and Data Collection

Source of Data Collection Secondary Data

Internal External

Primary Data

Page 14: Sampling and Data Collection

Primary Data Observation Method

Natural Vs Contrived Open Vs Disguised Structured Vs Unstructured . Direct Vs Indirect Mechanical Vs Human Non- Behavioral Vs Behavioral

Page 15: Sampling and Data Collection

Questionnaires steps1. Information2. Type of questionnaire3. Method of administration4. Form of response5. Phrasing of questions6. Sequence of questions

Page 16: Sampling and Data Collection

Interviews

Depth individual depth focused group

Page 17: Sampling and Data Collection

Essentials of Questionnaires

“ Basic thing which questionnaire must contain is clearly spelt out research objectives”

“These Objectives are to be able to get converted into Questions”.

Page 18: Sampling and Data Collection

Formalized Non-Formalized

Unconcealed

Concealed

Page 19: Sampling and Data Collection

Types of QuestionnaireFormalized and Unconcealed It is widely used by Marketing Researchers. They are Structured so as easy to administer, Self-explanatory in nature.Second advantage of such type of questionnaire is that they can be easily administer to a large number of population at the same time.They cover the points in step wise step process.

Page 20: Sampling and Data Collection

Formalized and Concealed It tries to explain latent Cause of Behavior, which on other-hand can not be derived by direct Questions. It actually Maps the basic values, opinion and beliefs of one.The intention behind developing such questionnaire is not to threaten any respondent providing general directions for answering the questions.They are structured hence helps in quantifying the statically data, also increases the subjectivity of data and improve the validity of scale as well.

Page 21: Sampling and Data Collection

Non-Formalized and Unconcealed It allows respondent to answer his/her attitude in very liberated way and uninhabited manner. They are more useful to researchers if arranged in unstructured way.The biggest advantage is that it allows respondent to answer in way he/she feel is important hence provides multiple options and comprehensive perspectives for solution one is looking forward from such research.

Page 22: Sampling and Data Collection

Non-Formalized and Concealed

Page 23: Sampling and Data Collection

PROCESS OF DESIGNING

Convert Objectives

into Information

How to administer

questionnaire

Content of questionnaire

Motivating respondent to answer

Determine types of

questionnaire

Administering questionnaire

Pilot testing

Presentation of

questionnaire

Determine questionnaire

structure

Criterion of questions design

Page 24: Sampling and Data Collection

DETERMINING TYPE OF QUESTIONANNIRE

QuestionContent

Open-Ended

Closed Ended

Dichotomous MultipleResponse Scales

Page 25: Sampling and Data Collection

Criteria for Designing Clearly specify the issue Use simple terminology Avoid ambiguity Avoid loaded questions avoid double barreled questions


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