SAMPLING
PROCEDURE
D ATA C O L L E C T I O N
•SAMPLING PROCEDURES ARE
ESSENTIAL IN RESEARCH TO
GATHER DATA EFFECTIVELY.
THIS REPORT FOCUSES ON
VARIOUS SAMPLING METHODS
AND THEIR ROLE IN DATA
COLLECTION.
TYPES OF SAMPLING
PROCEDURES
1. RANDOM SAMPLING
- INVOLVES SELECTING A RANDOM
SAMPLE FROM THE POPULATION.
- ADVANTAGES:
REPRESENTATIVENESS OF THE
SAMPLE.
- DISADVANTAGES: TIME-
CONSUMING AND COSTLY
2. STRATIFIED SAMPLING
- DIVIDES THE POPULATION INTO
SUBGROUPS FOR SAMPLING.
- ADVANTAGES: ENSURES
REPRESENTATION OF ALL
SUBGROUPS.
- DISADVANTAGES: REQUIRES
PRIOR KNOWLEDGE OF
POPULATION CHARACTERISTICS.
3. CLUSTER SAMPLING
- DIVIDES THE POPULATION
INTO CLUSTERS AND
RANDOMLY SELECTS CLUSTERS.
- ADVANTAGES: COST-
EFFECTIVE FOR LARGE
POPULATIONS.
- DISADVANTAGES: POTENTIAL
CLUSTER HOMOGENEITY.
4. SYSTEMATIC SAMPLING
- SELECTS EVERY NTH ELEMENT
FROM THE POPULATION.
- ADVANTAGES: SIMPLE AND
EASY TO IMPLEMENT.
- DISADVANTAGES: POTENTIAL
BIAS IF THERE IS A PATTERN IN
THE POPULATION.
DATA COLLECTION
METHODS
1. SURVEYS
- UTILIZES QUESTIONNAIRES
TO GATHER DATA FROM
RESPONDENTS.
2. OBSERVATIONS
- INVOLVES DIRECT OBSERVATION
OF SUBJECTS IN THEIR NATURAL
ENVIRONMENT.
- TYPES: PARTICIPANT
OBSERVATION, NON-PARTICIPANT
OBSERVATION.
- EXAMPLES: BEHAVIORAL STUDIES,
ENVIRONMENTAL OBSERVATIONS.
3. INTERVIEWS
- CONDUCTED TO GATHER
IN-DEPTH INFORMATION
FROM PARTICIPANTS.
- TYPES: STRUCTURED
INTERVIEWS, SEMI-
STRUCTURED INTERVIEWS.
- EXAMPLES: JOB INTERVIEWS,
RESEARCH INTERVIEWS.
4. EXPERIMENTS
- CONTROLLED STUDIES TO
TEST HYPOTHESES AND
GATHER DATA.
- TYPES: LABORATORY
EXPERIMENTS, FIELD
EXPERIMENTS.
- EXAMPLES: MEDICAL
TRIALS, PSYCHOLOGY
EXPERIMENT

GRADE 12: A DATA COLLECTION SAMPLING PROCEDURE.pptx

  • 1.
    SAMPLING PROCEDURE D ATA CO L L E C T I O N
  • 2.
    •SAMPLING PROCEDURES ARE ESSENTIALIN RESEARCH TO GATHER DATA EFFECTIVELY. THIS REPORT FOCUSES ON VARIOUS SAMPLING METHODS AND THEIR ROLE IN DATA COLLECTION.
  • 3.
    TYPES OF SAMPLING PROCEDURES 1.RANDOM SAMPLING - INVOLVES SELECTING A RANDOM SAMPLE FROM THE POPULATION. - ADVANTAGES: REPRESENTATIVENESS OF THE SAMPLE. - DISADVANTAGES: TIME- CONSUMING AND COSTLY
  • 4.
    2. STRATIFIED SAMPLING -DIVIDES THE POPULATION INTO SUBGROUPS FOR SAMPLING. - ADVANTAGES: ENSURES REPRESENTATION OF ALL SUBGROUPS. - DISADVANTAGES: REQUIRES PRIOR KNOWLEDGE OF POPULATION CHARACTERISTICS.
  • 5.
    3. CLUSTER SAMPLING -DIVIDES THE POPULATION INTO CLUSTERS AND RANDOMLY SELECTS CLUSTERS. - ADVANTAGES: COST- EFFECTIVE FOR LARGE POPULATIONS. - DISADVANTAGES: POTENTIAL CLUSTER HOMOGENEITY.
  • 6.
    4. SYSTEMATIC SAMPLING -SELECTS EVERY NTH ELEMENT FROM THE POPULATION. - ADVANTAGES: SIMPLE AND EASY TO IMPLEMENT. - DISADVANTAGES: POTENTIAL BIAS IF THERE IS A PATTERN IN THE POPULATION.
  • 7.
    DATA COLLECTION METHODS 1. SURVEYS -UTILIZES QUESTIONNAIRES TO GATHER DATA FROM RESPONDENTS.
  • 8.
    2. OBSERVATIONS - INVOLVESDIRECT OBSERVATION OF SUBJECTS IN THEIR NATURAL ENVIRONMENT. - TYPES: PARTICIPANT OBSERVATION, NON-PARTICIPANT OBSERVATION. - EXAMPLES: BEHAVIORAL STUDIES, ENVIRONMENTAL OBSERVATIONS.
  • 9.
    3. INTERVIEWS - CONDUCTEDTO GATHER IN-DEPTH INFORMATION FROM PARTICIPANTS. - TYPES: STRUCTURED INTERVIEWS, SEMI- STRUCTURED INTERVIEWS. - EXAMPLES: JOB INTERVIEWS, RESEARCH INTERVIEWS.
  • 10.
    4. EXPERIMENTS - CONTROLLEDSTUDIES TO TEST HYPOTHESES AND GATHER DATA. - TYPES: LABORATORY EXPERIMENTS, FIELD EXPERIMENTS. - EXAMPLES: MEDICAL TRIALS, PSYCHOLOGY EXPERIMENT