カテゴリー 全て - probability - response - sampling - plan

によって Jessica Webster-Craig 16年前.

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Chapter Nine

The document outlines various aspects of sampling design, emphasizing practical considerations and methodologies. It distinguishes between nonprobability and probability designs, detailing specific techniques like convenience, judgment, snowball, simple random, stratified, cluster, systematic, and multistage random sampling.

Chapter Nine

(9) Sampling Design

Davis, 2005

Sample Designs

Nonprobability designs
Snowball

samples are referred by the chosen population

Convenience

convenience of the researcher is important

Judgment

selected by the researcher to rep. the population of interest

Probability designs
Repetitive

combining two or more of the designs above

Stratified Cluster

combo. of stratified and cluster

Cluster

seperated into groups by proximity

Stratified

a sample is selected from each stratum(non-overlapping groups)

Multistage Random

use random ampling in each sampling stage where there are 2 stages

Systematic

natural ordering or order population

Simple Random

assign a number to each subject; select sample using the numbers

Practical Considerations in Sampling

internationalization of the marketplace
incidence and response rates
Response rate

% of respondants contacted who participated

Incidence

% of the pop. that possesses the trait to be included in the study

An Introduction to the Philosophy of Sampling

probablity designs/ nonprobablility designs
goals
2. to show how and why samples can be used to estimate the parameters of a population of interest
1. to acqaint you with the underlying philosophy of sampling

The Feel Good Store (Project)

Some major considerations when choosing our design:
time
cost
Sampling is important to our project because:
can help find a less bias response, using the appropriate design
It can help to provide a number of conclusions in our study

The Nature of Sampling

the sampling process
Step 7: Select the sample
Step 6: Select a sampling plan
Step 5: Select size of sample
Step 4: Select a sample design
Step 3: Select a sampling frame
Step 2: Select sampling units
Step 1: Select the population
rationale
destructive measurement
accuracy
resource constraints
key terminology
Sampling Plan

formal specification(plan)

Statistical and Sample Efficiency
Sampling Errors

errors in the study

Parameter/Statistic

summary descriptors of a given variable in the population/ " in the sample

Sample

a group from the population that is under investigation

Sampling Frame

physical representation of all elements

Sampling Units

nonoverlapping elements from a population

Population

group that is under investigation

Element

used to find data to form an analysis