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    Sampling Procedures

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    Sampling Procedures There are many sampling procedures that have been developed to make sure that a sample really represents the target population. Simple Random Sampling  In simple random sampling‚ every individual in the target population has an equal chance of being part of the sample. This requires two steps: 1. Obtain a complete list of the population. 2. Randomly select individuals from that list for the sample. In a study where the unit of analysis is the student‚ the researcher

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    Sampling (in Research)

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    ---------1 1.1. Sample 1.2. Sampling 1.3. Basic Terms and Concepts 2. Why Samplingis done?-------------------------------------------------------------------------3 3. Types of population for sampling-------------------------------------------------------- 4 4. Characteristics of good sampling-------------------------------------------------------- 5 5. Sampling Process---------------------------------------------------------------------------- 6 6. Sampling Methods/Techniques-----------------------------------------------------------

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    Sampling Techniques

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    AND EXTERNAL STUDIES SCHOOL OF CONTINUING AND DISTANCE EDUCATION DEPARTMENT OF EXTRA-MURAL STUDIES. LDP603: RESEARCH METHODS GROUP ASSIGNMENT GROUP 5 QUESTION: DISCUSS THE VARIOUS PROBABILITY AND NON-PROBABILITY SAMPLING TECHNIQUES USED IN RESEARCH. GROUP 5 (A) MEMBERS |S/NO |SURNAME |OTHER NAMES |REG. NO |SIGNATURE | | |GICHOHI

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    Sampling

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    Evaluation Professor: Dr. Elidio T. Acibar Reporter: Evelyn L. Embate Topic: Sampling SAMPLING Measuring a small portion of something and then making a general statement about the whole thing. Advantages of sampling Sampling makes possible the study of a large‚ heterogeneous population It is almost impossible to reach the whole population to be studied. Thus‚ sampling makes possible this kind of study because in sampling only a small portion of the population may be involved in the study‚ enabling

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    Cluster Financing

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    CLUSTER FINANCING Definition of Cluster in the Indian Context Clusters can be defined as Sectoral and geographical concentration of enterprises‚ in particular Small and Medium Enterprises (SME)‚ faced with common opportunities and threats which can: a. Give rise to external economies (e.g. specialized suppliers of raw materials‚ components and machinery; sector specific skills etc.); b. Favour the emergence of specialized technical‚ administrative and financial services; c. Create a conducive

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    Sampling Frames

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    Surveys 3-5 December 2003 DRAFT Sampling frames and master samples * by Anthony G. Turner ** * ** This document is being issued without formal editing. The views expressed in this paper are those of the author and do not imply the expression of any opinion on the part of the United Nations Secretariat. Table of contents Chapter Three: Sampling frames and master samples ...................................................................3 A. Sampling frames and their development ....

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    cluster analysis

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    based on practical grounds‚ industry practice and wisdom‚ cluster analysis allows segments to be formed that are based on data that are less dependent on subjectivity. The segmentation of customers is a standard application of cluster analysis‚ but it can also be used in different‚ sometimes rather exotic‚ contexts such as evaluating typical supermarket shopping paths or deriving employers’ branding strategies. MEANING: Cluster analysis or clustering is the task of grouping a set of objects

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    Sampling Techniques

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    Random sampling is the purest form of probability sampling. Each member of the population has an equal and known chance of being selected. When there are very large populations‚ it is often difficult or impossible to identify every member of the population‚ so the pool of available subjects becomes biased. Systematic sampling is often used instead of random sampling. It is also called an Nth name selection technique. After the required sample size has been calculated‚ every Nth record is selected

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    Cluster Analysis

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    Chapter 16 Cluster Analysis Identifying groups of individuals or objects that are similar to each other but different from individuals in other groups can be intellectually satisfying‚ profitable‚ or sometimes both. Using your customer base‚ you may be able to form clusters of customers who have similar buying habits or demographics. You can take advantage of these similarities to target offers to subgroups that are most likely to be receptive to them. Based on scores on psychological inventories

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    Industrial Clusters

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    1. Definition of industrial clusters....? 2. Objectives 3. Features 4. Advantages 5. Disadvantages 6. In which area which clusters are used.....? Definition A geographical concentration of interconnected companies with close supply links‚ specialist suppliers‚ service providers‚ and related industries and institutions; for example‚ Birmingham-Aston-Wolverhampton-Walsall in the British West Midlands‚ or the UK met cluster‚ which extends from Lancashire and Yorkshire to London and south-east

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