GROUP 3 Flashcards
(37 cards)
It is defined as the logical and coherent and overall strategy that the researcher uses to integrate all the researcher uses to integrate all the components of the research study (Barrot, 2017, p 102). In order to fin meaning in the overall process of doing your research study, a step-by-step process will be helpful to you.
Research Design
What are the 5 types of Quantitative Research Design
Descriptive Research, Correlational Research, Ex Post Facto, Quasi-Experimenal, and Experimental Research.
Aims to accurately and systematically describe a population, situation or phenomenon. It can answer what, where, when and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables.
Descriptive Research
It is a type of nonexperimental research in which the researcher measures two variables and assesses the statistical relationship (i.e., the correlation) between them with little or no effort to control extraneous variables.
Correlational research
If the objective of the study is top propriate to use. In this design, the researcher has no control of the research study. This cannot conclude that the changes measured during the actual conduct of the study.
Ex Post Facto
is a type of experiment where the researcher does not randomly assigns subjects. Rather, unlike a true experiment, subjects are assigned to groups based on non-random criteria. The researchers may manipulate an independent variable and observe the effect on a dependent variable
Quasi-Experimental
is a study conducted with a scientific approach using two sets of variables. The first set acts as a constant, which you use to measure the differences of the second set. Quantitative research methods, for example, are experimental.
Experimental Research
is the entire group that you want to draw conclusions about.
Population
is the specific group that you will collect data from.
Sample Size
What are the 7 sampling methods?
Simple Random Sampling
Systematic Sampling
Stratified Sampling
Cluster Sampling
Convenience Sampling
Quota Sampling
Snowball Sampling
is a randomly selected subset of a population. In this sampling method, each member of the population has an exactly equal chance of being selected.
Simple Random Sampling
is a probability sampling method in which researchers select members of the population at a regular interval (or k) determined in advance.
Systematic Sampling
In a this sample, researchers divide a population into homogeneous subpopulations called strata (the plural of stratum) based on specific characteristics (e.g., race, gender identity, location). Every member of the population studied should be in exactly one stratum.
Stratified Sampling
In this sampling, researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample.
Cluster Sampling
This sample simply includes the individuals who happen to be most accessible to the researcher.
Convenience Sampling
Similar to a convenience sample, this sample is mainly based on ease of access. Instead of the researcher choosing participants and directly contacting them, people volunteer themselves (e.g. by responding to a public online survey). This response samples are always at least somewhat biased, as some people will inherently be more likely to volunteer than others.
Voluntary Sampling
This type of sampling involves the researcher using their judgment to select a sample that is most useful to the purpose of the research. It is often used in qualitative research, where the researcher wants to gain detailed knowledge about a specific phenomenon rather than make statistical inferences. An effective sample must have a clear criteria and rationale for inclusion.
Purposive sampling
is a non-probability sampling method that relies on the non-random selection of a predetermined number or proportion of units. This is called a quota.
Quota sampling
A research instrument is a tool used to collect, measure, and analyze data related to your subject. It could be a survey, questionnaire, or any other tool that helps you gather the information you need.
Research Instrument
This part explains how you gathered your data. Did you use surveys, interviews, experiments, or observations? It also describes why you chose these methods and how they helped you answer your research questions.
Data Collection Procedure
This section explains how the data you collected will be analyzed and reported. It specifies the methods you will use to interpret the data and explains how each test will be applied to make sense of your findings.
Statistical Treatment of Data
This section describes your target population and explains how you chose your participants, including how many there are and the technique you used to select them. The population is the entire group you want to study, while the sample is the specific group from whom you collected data.
Population Sample
What are the 4 steps in collecting data?
- Define the aim of your research
- Choose your data collection methods
- Plan your design
- Collect the data
What are the 4 types of instruments?
Interview
Surveys
Focus Group
Observations