Sampling Flashcards

(35 cards)

1
Q

The act of studying or examining only a segment of the population to represent the whole

• Advantages:

− Cheaper

− Faster

− Better quality of information

Only possible method for destructive procedures (ex: blood count)

A

SAMPLING

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2
Q

– entire group of individuals or items of interest in the study (eg. Philippines)

A

Population

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3
Q

– group from which representative information is desired and to which inferences will be made (eg. Metro Manila sa Philippines)

A

Target Population

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4
Q

– population from which a sample will actually be taken (eg. Makati City sa Metro Manila sa Philippines)

A

Sampling Population

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5
Q

– units which are chosen in selecting a sample (eg. Mga nakatira sa baranggay 1 sa Makati City sa Metro Manila sa Phil.)

A

Sampling Unit

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6
Q

_________________ – object or person on whom a measurement if actually taken or an observation is made (eg. tao sa baranggay)

A

Elementary Unit or Element

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7
Q

_____________________ – a collection of all sampling units / a listing of all units available (eg. record, list sa infirmary, census)

A

Sampling Frame

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8
Q

Incidence of Leptospirosis in a Tertiary Hospital in Manila

Target Population:

Sampling Population:

Sampling Frame:

A

Target Population: Residents of Manila

Sampling Population: Manila residents consulting in a tertiary hospital

Sampling Frame: ER census of the tertiary hospital/Admitting office

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9
Q

Prevalence of Obesity among Call Center Agents of Convergys Target Population:

Sampling Population:

Sampling Frame:

A

Target Population:Call Center Agents

Sampling Population: Call center agents of Convergys

Sampling Frame: List of call center agents working for Convergys

or

Target Population: Call Center Agents of Convergys

Sampling Population: Call center agents of Convergys na Night shift, or call center na inbound or outbound.

Sampling Frame: List of call center agents working for Convergys sa HR.

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10
Q

Rate of Sexually-­‐transmitted Infection among CSW’s Olongapo Target Population:

Sampling Population:

Sampling Frame:

A

Target Population: CSW’s of Olongapo

Sampling Population: CSW’s working in a high-­‐end bar

Sampling Frame: List of registered CSW’s

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11
Q

Prevalence of disability among 6-­‐12 year old children in a community

Target Population:

Sampling Population:

Sampling Frame:

A

Target Population: 6 – 12 year old children

Sampling Population: 6 -­‐12 year old pupils

Sampling Frame: List of pupils

Target Population: Children in a community

Sampling Population: 6 -­‐12 year old children na nasa community

Sampling Frame: Barangay Census

or

Target Population: 6 – 12 year old children

Sampling Population: 6 -­‐12 year old children from homes in a rural town

Sampling Frame: List of barangays

Sampling Units: Barangays selected by systematic

sampling Elements: All children aged 6-­‐12 yrs from the homes located in the barangays sampled

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12
Q

• The difference between the value of the parameter being investigated vs. the estimate of this value based on the different samples

A

SAMPLING ERROR

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13
Q
  • Sample should be representative / reflect the characteristics and variability of the population
  • Sample size should be adequate
  • Practicality and feasibility of the procedure
  • Economy and efficiency of the design
A

GOOD SAMPLING DESIGN

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14
Q

BASIC SAMPLING DESIGN

A

A.** Non-­‐probability Sampling Designs** − The probability of each member of the population being selected as part of the sample cannot be determined

B. Probability Sampling Designs − Each member of the population has a known non-­‐zero chance of being selected as a sample

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15
Q

− The probability of each member of the population being selected as part of the sample cannot be determined

A

A. Non-­‐probability Sampling Designs

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16
Q

− Each member of the population has a known non-­‐zero chance of being selected as a sample

A

B. Probability Sampling Designs

17
Q

• **Advantages: **

− Easier to execute

− Sometimes the only possible means

Disadvantages: − More likely to produce a biased result − Cannot compute reliable estimates

A

A. NON-­‐PROBABILITY SAMPLING DESIGN

18
Q

What are the types of nonprobabilty sampling design?

A
  1. judgmental or purposive
  2. Accidental or haphazrd
  3. Quota sampling
  4. Snowball technique
  5. Convenience sampling
19
Q

o a ‘representative’ sample of the population is selected based on an expert’s subjective judgment or some pre-­‐specified criteria (ex: infants with autism)

A

Judgmental or Purposive

20
Q

o The sample is made up of those who is available (ambush interview)

A

Accidental or Haphazard

21
Q

o Samples of a fixed size (quota) are obtained from pre-­‐ determined subdivisions of the population (e.g. religion research) o Eg. Perspective sa Holy Trinity ng Iglesia Ni Cristo members; Igorots sa perspective sa isang intervention

A

Quota Sampling

22
Q

o The sample is obtained by a process whereby an individual to be included is identified by a member who was previously included (e.g ; CSW, drug users) o Irerefer lang. (eg. HIV, Sex worker, erectile dysfunction)

A

Snowball technique

23
Q

o Study units who are easily accessible are selected as samples (e.g. clinical studies)

o Kung sino lang ung dumating/ pagpapalista/

A
  1. Convenience Sampling
24
Q

Safe Sex: Knowledge, Attitudes and Perceptions of HIV positives in the Philippines -­‐

25
Acceptability of a Detergent Bar X Among Shoppers in a Supermarket -­‐
CONVENIENCE OR HAPHAZARD (better choice)
26
A Focused Group Discussion on the Impact of Beauty Products in the Self-­‐Esteem of Teenagers –
QUOTA
27
Effect of Monoclonal Antibody (Drug X) in the QOL among Psoriasis Patients of Dermatology OPD
CONVENIENCE (better choice) or PURPOSIVE
28
Family Planning Method: Preference among Doctors-­‐to-­‐the-­‐Barrios
PURPOSIVE OR QUOTA (better choice)
29
What are the types of probabality sampliing design?
1. Simple random 2, Systemic Sampling 3. Stratified Random Sampling 4. Cluster Sampling 5. multi-stage sampling design
30
− Most basic type of design. Every element in the population has an equal chance of being included in the sample − Make a sampling frame: a numbered list of all units in the population from which you want to draw a sample − Lottery method or use random numbers to select elements − Eg. toss coin, generation or random numbers
1. Simple Random Sampling
31
− Samples are chosen at regular intervals (e.g. every fourth) from a sampling frame − Researcher must compute for the sampling interval (k=N/n) − Easier to perform than SRS . Sometimes result in a more representative sample − Example. − 70 – isang classroom (N = total population) 10 – kung ilan ang kelangan(n) 70/10 = 7 ang interval kung ang interval ay 7, ang kasali ay 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17…….
2. Systematic Sampling
32
− Population is first divided into non-­‐overlapping groups called strata (stratum). SRS is done for each stratum − Ensures that groups are adequately represented. Estimates for each stratum may be obtained. Produces reliable results − Eg. Population: College of Medicine Strata: Year Level, Gender. Population: For Offices Strata: Position, either Blue collar or white collar
3. Stratified Random Sampling
33
− The selection of groups of study units (clusters) instead of the selection of individual study units − Eg. City – and cluster nyan ay barangay 1 or barangay 2, ung barangay na pipiliin, kasama lahat.
4. Cluster Sampling
34
\_\_\_\_\_\_\_\_\_\_\_\_\_\_− Combination of sampling designs may be used. − Primary and secondary sampling
5. Multi-­‐stage Sampling Design
35