GROUP 3 Flashcards

(37 cards)

1
Q

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.

A

Research Design

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2
Q

What are the 5 types of Quantitative Research Design

A

Descriptive Research, Correlational Research, Ex Post Facto, Quasi-Experimenal, and Experimental Research.

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3
Q

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.

A

Descriptive Research

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4
Q

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.

A

Correlational research

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5
Q

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.

A

Ex Post Facto

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6
Q

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

A

Quasi-Experimental

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7
Q

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.

A

Experimental Research

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8
Q

is the entire group that you want to draw conclusions about.

A

Population

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9
Q

is the specific group that you will collect data from.

A

Sample Size

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10
Q

What are the 7 sampling methods?

A

Simple Random Sampling

Systematic Sampling

Stratified Sampling

Cluster Sampling

Convenience Sampling

Quota Sampling

Snowball Sampling

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11
Q

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.

A

Simple Random Sampling

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12
Q

is a probability sampling method in which researchers select members of the population at a regular interval (or k) determined in advance.

A

Systematic Sampling

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13
Q

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.

A

Stratified Sampling

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14
Q

In this sampling, researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample.

A

Cluster Sampling

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15
Q

This sample simply includes the individuals who happen to be most accessible to the researcher.

A

Convenience Sampling

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16
Q

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.

A

Voluntary Sampling

17
Q

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.

A

Purposive sampling

18
Q

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.

A

Quota sampling

19
Q

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.

A

Research Instrument

20
Q

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.

A

Data Collection Procedure

21
Q

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.

A

Statistical Treatment of Data

22
Q

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.

A

Population Sample

23
Q

What are the 4 steps in collecting data?

A
  1. Define the aim of your research
  2. Choose your data collection methods
  3. Plan your design
  4. Collect the data
24
Q

What are the 4 types of instruments?

A

Interview
Surveys
Focus Group
Observations

25
You can carry out interviews in many different ways. For example, your interview can be structured, semi-structured, or unstructured. The difference between them is how formal the set of questions is that is asked of the interviewee. In a group interview, you may choose to ask the interviewees to give you their opinions or perceptions on certain topics.
Interviews
26
In survey research, you are posing questions in which you ask for a response from the person taking the survey. You may wish to have either free -answer questions such as essay style questions, or you may wish to use closed questions such as multiple choice. You may even wish to make the survey a mixture of both.
Survey
27
Similar to the group interview above, you may wish to ask a focus group to discuss a particular topic or opinion while you make a note of the answers given.
Focus Group
28
This is a good research instrument to use if you are looking into human behaviors. Different ways of researching this include studying the spontaneous behavior of participants in their everyday life, or something more structured. A structured observation is research conducted at a set time and place where researchers observe behavior as planned and agreed upon with participants.
Observations
29
Refers to the consistency of a measure (whether the results can be reproduced under the same conditions).
Reliability
30
Refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).
Validity
31
What are the types of Reliability?
Test-retest Inter-rater (inter observer) Inter consistency
32
What are the types of Validity?
Construct Content Criterion Face Validity
33
What are the survey design elements?
Measurement Objectives Data Collection Processes Recommended Survey Reporting Plan
34
What are the 4 types of Research Methodology?
*Quantitative research *Qualitative Research Methodology *Mixed-method research *Experimental research *Case study research
35
Measurement Objectives are the reasons for the research and the expected outcomes. The objectives are the “why” of the research. They should be clear and concise. Explain each measurement objective in detail. Be precise, so as not to leave any room for erroneous interpretation of the results.
Measurement Objectives
36
Data Collection methodology covers the logistics of the research. Determine how data should be collected. If there will be multiple data collection sources, the methodology should describe each source and how they fit together to make the big picture. Explain the pros and cons of each data collection source, especially if you are using any sources that are new to team members or if you expect to encounter problems with "buy in."
Data collection Processes
37
Base each question on at least one of the research objectives. Make a distinct connection between every survey question and the research objective. Don't ask questions that don't link directly to a research objective.
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