PR
問題一覧
1
Can be the claim of the researcher/s, or assumptions, or what the researcher/s wanted to determine.
Hypothesis
2
It deals with the relationships in the behavioral patterns between two variables without any implied causality (meaning cause and effect factor is not implied)
Correlation
3
Deals also with behavioral patterns as well but causality is implied.
Effect
4
Are opposing adjectives that you can use on your hypothesis
Behavioral Indicators
5
It explicitly states the test variable and the grouping variable.
Difference
6
there is no significant effect
- the assumption about the behavior of the population or sample observation
Null Hypothesis
7
there is a significant effect
- is the opposite statement of the null hypothesis. It is the claim or assumption that we are attempting to establish.
Alternative Hypothesis
8
The researcher would like to know the effect of private tutoring on the academic performance of the students availing it.
Research Situations
9
it provides an outline of the plan on how to conduct the research. It is represented in a flow chart, map, or diagram.
Conceptual Framework
10
Serves as the basis for how the study will be investigated
Theoretical Framework
11
These are variables that can be readily measured.
Manifest Variables
12
these variables cannot be readily measured by a single question.
Latent variables
13
expressed using the double-headed arrow
Correlations
14
makes use of a straight line
Differences
15
are shown using the single-bladed arrow
Effects
16
5 Types of Quantitative Research
1. Descriptive Research 2. Correlational Research 3. Causal-Comparative Research 4. Quasi-Experimental Research 5. Experimental Research
17
is a body of information or observations that is provided to a researcher.
Data
18
Are first-hand information gathered by the person who needs them.
Primary Data
19
Are second-hand information. They are taken from observations of others or responses to queries in researches done earlier.
Secondary Data
20
-is the place where data is to be gathered.
Research Locale
21
Population used by the researcher in generalizing the conclusion of the study
Target Population
22
Also known as “respondent” is a subset of the population chosen to participate in the study.
Sample
23
list of the members of such population from where you will get the sample.
Sampling Frame
24
results when there is sampling bias or samples taken are not representative of the target population.
Sampling Error
25
are usually caused by problems in data collection or processing. A typical non-sampling error occurs when the response rate is low, thereby leading to sampling bias.
Non Sampling error
26
Sampling is a formal process of choosing the correct subgroup called a sample from a population to participate in a research study.
Sampling Procedures
27
This is the most frequently used type of probability sampling technique.
Simple Random Sampling
28
It follows specific steps and procedures in doing the random selection of the samples.
Systematic Random Sampling
29
In this type of probability sampling procedure, the population is first divided into two or more mutually exclusive categories based on your variables of interest in the research study.
Stratified Random Sampling
30
Most large scale surveys, when the target respondents in a research study is spread across a geographical location
Cluster Sampling
31
This is a method of selecting samples that are available and are capable of participating in a research study on a current issue.
Convenience Sampling
32
it is a technique where the researcher identifies a key informant about a research of interest and then asks that respondent to refer or identify another respondent who can participate in the study
Snowball Sampling
33
gathering a representative sample from a group based on certain characteristics of the population chosen by the researcher.
Quota Sampling
問題一覧
1
Can be the claim of the researcher/s, or assumptions, or what the researcher/s wanted to determine.
Hypothesis
2
It deals with the relationships in the behavioral patterns between two variables without any implied causality (meaning cause and effect factor is not implied)
Correlation
3
Deals also with behavioral patterns as well but causality is implied.
Effect
4
Are opposing adjectives that you can use on your hypothesis
Behavioral Indicators
5
It explicitly states the test variable and the grouping variable.
Difference
6
there is no significant effect
- the assumption about the behavior of the population or sample observation
Null Hypothesis
7
there is a significant effect
- is the opposite statement of the null hypothesis. It is the claim or assumption that we are attempting to establish.
Alternative Hypothesis
8
The researcher would like to know the effect of private tutoring on the academic performance of the students availing it.
Research Situations
9
it provides an outline of the plan on how to conduct the research. It is represented in a flow chart, map, or diagram.
Conceptual Framework
10
Serves as the basis for how the study will be investigated
Theoretical Framework
11
These are variables that can be readily measured.
Manifest Variables
12
these variables cannot be readily measured by a single question.
Latent variables
13
expressed using the double-headed arrow
Correlations
14
makes use of a straight line
Differences
15
are shown using the single-bladed arrow
Effects
16
5 Types of Quantitative Research
1. Descriptive Research 2. Correlational Research 3. Causal-Comparative Research 4. Quasi-Experimental Research 5. Experimental Research
17
is a body of information or observations that is provided to a researcher.
Data
18
Are first-hand information gathered by the person who needs them.
Primary Data
19
Are second-hand information. They are taken from observations of others or responses to queries in researches done earlier.
Secondary Data
20
-is the place where data is to be gathered.
Research Locale
21
Population used by the researcher in generalizing the conclusion of the study
Target Population
22
Also known as “respondent” is a subset of the population chosen to participate in the study.
Sample
23
list of the members of such population from where you will get the sample.
Sampling Frame
24
results when there is sampling bias or samples taken are not representative of the target population.
Sampling Error
25
are usually caused by problems in data collection or processing. A typical non-sampling error occurs when the response rate is low, thereby leading to sampling bias.
Non Sampling error
26
Sampling is a formal process of choosing the correct subgroup called a sample from a population to participate in a research study.
Sampling Procedures
27
This is the most frequently used type of probability sampling technique.
Simple Random Sampling
28
It follows specific steps and procedures in doing the random selection of the samples.
Systematic Random Sampling
29
In this type of probability sampling procedure, the population is first divided into two or more mutually exclusive categories based on your variables of interest in the research study.
Stratified Random Sampling
30
Most large scale surveys, when the target respondents in a research study is spread across a geographical location
Cluster Sampling
31
This is a method of selecting samples that are available and are capable of participating in a research study on a current issue.
Convenience Sampling
32
it is a technique where the researcher identifies a key informant about a research of interest and then asks that respondent to refer or identify another respondent who can participate in the study
Snowball Sampling
33
gathering a representative sample from a group based on certain characteristics of the population chosen by the researcher.
Quota Sampling