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20 Cards in this Set
- Front
- Back
3 traditional Research design |
1.Exploratory 2.Descriptive 3.Causal |
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Used to establish an initial understanding and background information about the research study interest, often with very few or no earlier, related studies found relevant to the research study. |
Exploratory |
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Used to gather information on current situation and conditions. It helps provide answers to the questions of who, what, when ,where, and how a particular research study. Provide accurate data after subjecting them to rigorous procedures using large amounts of data from large numbers of samples. |
Descriptive |
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Used to measure the impact that an independent variable has on another variable or why certain results are obtained. |
Causal |
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a subgroup of the target population that the reseacher plans to study for generalizing about target population. |
Sample |
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A group of individuals with some common defining characteristic that the researcher can identify and study. |
Target population |
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a big group of people related to your research topic that have the same characteristics. |
Population |
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a formal process of choosing the correct subgroup called sample from a population to participate in a research study. |
Sampling |
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Probability sampling procedures |
• Sampling Random Sampling • Systematic Random Sampling • Stratified random sampling • Cluster sampling • Multi stage sampling |
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Most frequently used type of sampling technique. Characterized by the idea that the change of selection is the same for every member of the population |
Sampling Random Sampling |
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Method that requires selecting samples based on a system of intervals in a numbered population. |
Systematic Random Sampling |
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method of sampling that involves the division of a population into smaller subgroups known as strata. Strata are formed based on members shared attributes or characteristics such as income or educational attainment. |
Stratified random sampling |
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Is a probability sampling technique where researchers decide the population into multiple groups ( clusters ) for research. Researchers them select random groups with a sample random or systematic or systematic sample random technique for data collection. |
Cluster sampling |
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Refers to the procedure in cluster sampling which moves through a series of stages from more inclusive to less inclusive sampling units until arriving at the population elements that constitute the desired sampling |
Multi stage sampling |
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Non probability sampling |
• Accidental Sample • Purposive or judgment sampling. • Quota Sampling |
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- Is one in which the investigator simply reaches out and takes the cases that are at hand, continuing the process until the sample reches a designated size. It is also known as the "man of the street" |
Accidental Sample |
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Is used when practical considerations prevent the use of probability sampling. |
Purposive or judgment sampling |
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- A technique with provision to guarantee the inclusion in the sample of diverse elements in the population and to make sure that these diverse elements are taken into account in proportion in which they occur in the population. |
Quota Sampling |
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data from books, journals ,magazine and news paper and other article. |
Secondary data |
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surveys, life based experience. |
Primary data- |