COLLECTING DATA Flashcards
What are the 5 steps in data collection?
- What PARTICIPANTS will you study?
- What PERMISSION will you need?
- What INFORMATION will you collect?
- What INSTRUMENT will you use to collect data?
- How will you ADMINISTER data collection?
It is the complete group of persons, animals, or objects that posses the same characteristics that are of the researcher’s interest.
Population
What are the 2 kinds of population?
Target - high school student in the Philippines
Accessible population - high school students from the locality of the researcher
It is a group of individuals that represents the characteristics of a population.
Sample
This sampling method means there is a chance to be chosen as a participants (bc it’s random). It has a strong statistical inference.
Probability Sampling
Every member of the population has an equal chance of being selected.
Simple random sampling
It aims to achieve a representation of every subgroup in the sample.
Stratified Random Sampling
It randomly select an entire subgroups rather than individuals.
Cluster Sampling
This sampling ensures representation from different demographics.
Stratified Random Sampling
This sampling method not everyone has an equal chance to be chosen.
Non-probability sampling method
You choose people who are easy to reach.
Convenience Sampling
You choose people based on what you think is best.
Judgemental/Purposive Samping
You ask people to refer others for the study.
Snowball Sampling
You pick people to match certain groups or percentages.
Quota Sampling
What are the different collection methods for quantitative data collection?
Experiments
Controlled Observations
Surveys
Longitudinal Studies
Polls
Telephone Interviews
F2F Interviews
What are the 2 things to keep in mind in administering data collection?
Standardization and Ethical issues
It is important to do this when administering data collection because when your procedures vary, you introduce bias into the study and the data may not be comparable for analysis.
Standardization
What are the qualitative research samplings?
Extreme/deviant case
Maximum variation
Homogeneous
Typical case
Snowball or chain
Stratified purposeful
Opportunistic/emergent
What are the data collection methods in qualitative?
Interviews,
Surveys,
Observation,
Group discussion
The researcher tries to select particular cases that would gather the most information about a given research topic or selecting unusual or
special cases, such as outstanding successes or notable failures.
Extreme or deviant case sampling
It selects a wide range of variation on dimensions of interest. The purpose is to discover or uncover central themes, core elements, and/or shared dimensions that cut across a diverse sample. It also provides an opportunity to document unique or diverse variations
Maximum variation sampling
It brings together people of similar backgrounds and experiences. It reduces variation, simplifies analysis, and facilitates group interview. This strategy is used most often when conducting focus groups.
Homogeneous sampling
It focuses on what is typical, normal, and/or average. This may beadopted when one needs to present a qualitative profile of one or more typical cases. For example, in a study that involves development projects in the Third World countries, a typical case sampling of “average” villages may be conducted.
Typical case sampling
It is done by asking relevant people if they know someone or somebody fitted or is willing to participate in a study. For instance, a researcher will use the social media to ask people if they can refer persons who meet the criteria to become the respondents for the research study. From these nominations, the researcher would select participants to be included as members of the sample.
Snowball or chain sampling
It focuses on characteristics and comparisons of particular subgroups of interest. In this sampling method, samples based on a characteristic are stratified. In conducting a study about academic performance, the samples are clustered in below average, average, and above average learners. The main goal of this sampling is to capture major variations.
Stratified purposeful sampling
This strategy takes advantage of whatever is readily available for the researcher and considers other samples that may be useful for the researcher as they come.
Opportunistic or emergent sampling
