Sampling Technique to Data Gathering Instruments Flashcards
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What is probability sampling?
Each of the population has an equal chance of being selected as the participant of a study.
The researcher has no power to choose participants.
What is Simple Random Sampling (SRS)
- In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample.
- Includes fishbowl method and lottery method
- Quantitative (P)
Systematic Sampling
- Systematic sampling means that there is a gap, or interval, between each selected unit in the sample.
- Organized pattern in choosing participants
Ex. Every third person na papasok, siya ang participant. Gagamitin lahat kahit sumobra. - Quantitative (P)
Stratified Sampling
A probability sampling technique in which the total population is divided into homogenous groups (strata) to complete the sampling process
- Criteria to be made; stratum
- By group classification, babalik sa SRS para di lahat ay participant
- Quantitative (P)
Quota Sampling
- Sampling is done until a specific number of units (quotas) for various subpopulations have been selected. Quota sampling is a means for satisfying sample size objectives for the subpopulations.
- Has a criteria, and similar to stratified sampling
Non-probability sampling refers to the…
- Used in qualitative research design wherein NOT every member of the population has equal chance to be a participant
- The researcher has the POWER to choose the participants.
Convenience Sampling
In this approach researchers pull together a sample from individuals who are available and willing to participate.
- Qualitative (NP)
- Accidental, by chance
- Availability of participants
- The researcher gathers data from whatever cases happen to be convenient.
Snowball Sampling
The researcher relies on participant referrals to recruit new participants.
Purposive Sampling
This is the most common sampling procedure,
wherein participants are selected according to pre-selected criteria based on
the particular research question.
- Based on purpose, objectives of the study
Data Collection Method
- Remember DOSE
Derived or Compiled Data
- using existing data points often from different data sources, to create new data through some sort of transformation, such as an arithmetic formula aggregation.
Data Collection Method
- Remember DOSE
Observational Data
- data captured through observation of a behavior or activity.
- human observation, open-ended survey
Data Collection Method
- Remember DOSE
Simulation Data
- data generated by imitating the operation of a real world processes or system over time. This method is used to try to determine what WOULD, COULD HAPPEN under certain conditions.
Data Collection Method
- Remember DOSE
Experimental Data
- data collected through ACTIVE INTERVENTION by the researcher to produce or measure change or to create difference when a variable is altered.
STEPS IN CREATING DATA COLLECTION PLAN
- Identify the questions that you want to answer.
- Determine the kind of data that is available.
- Determine how much data is needed.
- Determine how to measure the data.
- Decide who is going to collect the data.
- Determine where the data will be collected from.
- Decide whether to measure a sample or the whole population.
- Determine in what format the data will be displayed.
IMPORTANCE OF DATA COLLECTION
- INFORMED DECISION MAKING
Data collection provides valuable insights and enables us to make more informed and accurate decisions.
IMPORTANCE OF DATA COLLECTION
- TREND ANALYSIS
By collecting data over time, we can identify patterns and trends. allowing us to predict future outcomes
IMPORTANCE OF DATA COLLECTION
- IMPROVED EFFICIENCY
Data-driven insights can streamline processes, eliminate waste, and optimize resource allocation
Quantitative Data
Measured numerically, providing objective insights into quantities and amounts.
- sales figures
- customer demographics
- website traffic
IMPORTANCE OF DATA COLLECTION
- PROBLEM SOLVING
Data helps us understand the root cause of issues and find effective solutions based on real-world evidence
Qualitative Data
Explores opinions, experiences, and perspectives, offering SUBJECTIVE understanding.
- customer feedback
- focus group discussions
- social media sentiment analysis
DATA COLLECTION METHODS
Surveys
Are structured questionnaires distributed to a large sample, gathering data on opinions, preferences, and behaviors.
- open ended survey (qualitative)
- close ended survey (quantitative)