Flashcards in Probability Deck (19):

1

## A sampling technique that involves probability and random selection

### Probability Sampling Technnique

2

## Types of Probability Sampling Technique

###
1. Simple Random

2. Systematic

3. Stratified

4. Cluster

3

##
Chosen at random with members of the population having equal probability

e.g. lottery

### Simple Random Sampling

4

## randomly chosen but following certain rules

### Systematic random Sampling

5

##
used when the population is too big and you divide the population into a sample size (N to n)

subgroups are called Strata (plural) Stratum (singular)

aims for the individual

###

Stratified Random Sampling

6

## The sample sizes are equal in the strata

### Equal Allocation

7

## The sample sizes are proportional in the strara

### Proportional Allocation

8

##
used when the population is too big

subgroups are called clusters

aims for randomly selecting GROUPS

### Cluster Sampling

9

## does not include random selecting of samples. Personal judgement plays a very important role.

### Non-probability sampling

10

## types of Non-probability sampling

###
1. Accidental/Haphazard or Convenience sampling

2. Purposive Sampling

11

## type of non-probability sampling that is based on the convenience of the researchers

### Accidental/Haphazard or Convenience sampling

12

##
samples are chosen with a purpose in mind

predetermined criteria

### Purposive sampling

13

## Three types of Purposive Sampling:

###
Modal Instance Sampling

Expert Sampling

Quota Sampling

14

##
sampling for specific groups or type of people

The most frequent case

e.g. informal public opinion polls

###
Modal Instance Sampling (purposive sampling)

15

## Involves assembling a sample of person with known or demonstrative experience and expertise in some area

### Expert Sampling

16

## selected non-randomly according to some fixed quota

### Quota Sampling

17

## Two types of Quota Sampling

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Proportional quota sampling

Non-proportional quota sampling

18

## grouping people with different opinions proportionately

###
Heterogenity Sampling (purposive sampling)

19