Comparative Political Methodology
| Description: This quiz will test your knowledge of comparative political methodology, including research design, data collection, and analysis techniques. | |
| Number of Questions: 15 | |
| Created by: Aliensbrain Bot | |
| Tags: comparative politics political methodology research design data collection analysis techniques |
What is the primary goal of comparative political methodology?
-
To identify causal relationships between variables
-
To describe political phenomena
-
To develop theories about political behavior
-
To evaluate the effectiveness of government policies
Comparative political methodology is a set of research methods used to identify causal relationships between variables in political science. This is done by comparing different countries, states, or other political units to see how different factors affect political outcomes.
Which of the following is a common research design used in comparative political methodology?
-
Case study
-
Survey research
-
Experimental research
-
Historical research
Case studies are a common research design in comparative political methodology because they allow researchers to examine a single case in depth. This can help to identify the factors that contribute to a particular political outcome.
What is the difference between a dependent variable and an independent variable?
-
A dependent variable is the variable that is being measured, while an independent variable is the variable that is being manipulated.
-
A dependent variable is the variable that is being predicted, while an independent variable is the variable that is doing the predicting.
-
A dependent variable is the variable that is being caused, while an independent variable is the variable that is doing the causing.
-
A dependent variable is the variable that is being explained, while an independent variable is the variable that is doing the explaining.
In a causal relationship, the dependent variable is the variable that is being predicted, while the independent variable is the variable that is doing the predicting.
What is the purpose of a control variable?
-
To hold constant the effects of other variables that might confound the relationship between the independent and dependent variables.
-
To increase the sample size of the study.
-
To make the results of the study more generalizable.
-
To make the study more ethical.
Control variables are used to hold constant the effects of other variables that might confound the relationship between the independent and dependent variables. This helps to ensure that the relationship between the independent and dependent variables is causal.
What is the difference between a correlation and a causal relationship?
-
A correlation is a relationship between two variables, while a causal relationship is a relationship in which one variable causes the other.
-
A correlation is a relationship between two variables that is not caused by a third variable, while a causal relationship is a relationship between two variables that is caused by a third variable.
-
A correlation is a relationship between two variables that is linear, while a causal relationship is a relationship between two variables that is non-linear.
-
A correlation is a relationship between two variables that is positive, while a causal relationship is a relationship between two variables that is negative.
A correlation is a relationship between two variables, while a causal relationship is a relationship in which one variable causes the other. A correlation does not necessarily imply causation.
What is the purpose of a hypothesis?
-
To provide a tentative explanation for a phenomenon.
-
To provide a prediction about a phenomenon.
-
To provide a description of a phenomenon.
-
To provide an evaluation of a phenomenon.
A hypothesis is a tentative explanation for a phenomenon. It is based on evidence and observation, and it can be tested through research.
What is the difference between a theory and a hypothesis?
-
A theory is a general explanation for a phenomenon, while a hypothesis is a specific prediction about a phenomenon.
-
A theory is based on evidence and observation, while a hypothesis is based on speculation.
-
A theory is more general than a hypothesis.
-
All of the above.
A theory is a general explanation for a phenomenon, while a hypothesis is a specific prediction about a phenomenon. A theory is based on evidence and observation, while a hypothesis is based on speculation. A theory is more general than a hypothesis.
What is the purpose of a research design?
-
To specify the methods that will be used to collect and analyze data.
-
To identify the variables that will be studied.
-
To develop a hypothesis.
-
All of the above.
A research design is a plan for how a research study will be conducted. It specifies the methods that will be used to collect and analyze data, the variables that will be studied, and the hypothesis that will be tested.
What is the difference between qualitative and quantitative data?
-
Qualitative data is data that is collected in the form of words, while quantitative data is data that is collected in the form of numbers.
-
Qualitative data is data that is collected through observation, while quantitative data is data that is collected through surveys.
-
Qualitative data is data that is collected through interviews, while quantitative data is data that is collected through experiments.
-
All of the above.
Qualitative data is data that is collected in the form of words, while quantitative data is data that is collected in the form of numbers.
What is the purpose of a data analysis plan?
-
To specify the methods that will be used to analyze the data.
-
To identify the variables that will be analyzed.
-
To develop a hypothesis.
-
All of the above.
A data analysis plan is a plan for how the data will be analyzed. It specifies the methods that will be used to analyze the data, the variables that will be analyzed, and the hypothesis that will be tested.
What is the difference between a descriptive statistic and an inferential statistic?
-
A descriptive statistic is a statistic that describes the data, while an inferential statistic is a statistic that allows you to make inferences about the population from the sample.
-
A descriptive statistic is a statistic that is calculated from the sample, while an inferential statistic is a statistic that is calculated from the population.
-
A descriptive statistic is a statistic that is used to describe the central tendency of the data, while an inferential statistic is a statistic that is used to describe the variability of the data.
-
All of the above.
A descriptive statistic is a statistic that describes the data, while an inferential statistic is a statistic that allows you to make inferences about the population from the sample.
What is the purpose of a regression analysis?
-
To estimate the relationship between two or more variables.
-
To predict the value of one variable based on the values of other variables.
-
To test a hypothesis.
-
All of the above.
A regression analysis is a statistical method that is used to estimate the relationship between two or more variables. It can also be used to predict the value of one variable based on the values of other variables. Regression analysis can also be used to test hypotheses.
What is the difference between a cross-sectional study and a longitudinal study?
-
A cross-sectional study is a study that collects data from a sample of people at one point in time, while a longitudinal study is a study that collects data from the same sample of people over a period of time.
-
A cross-sectional study is a study that collects data from a sample of people in one country, while a longitudinal study is a study that collects data from a sample of people in multiple countries.
-
A cross-sectional study is a study that collects data from a sample of people who are all the same age, while a longitudinal study is a study that collects data from a sample of people who are different ages.
-
All of the above.
A cross-sectional study is a study that collects data from a sample of people at one point in time, while a longitudinal study is a study that collects data from the same sample of people over a period of time.
What is the purpose of a case study?
-
To provide a detailed description of a single case.
-
To identify the factors that contribute to a particular outcome.
-
To develop a theory.
-
All of the above.
A case study is a research method that involves the detailed examination of a single case. Case studies can be used to provide a detailed description of a single case, to identify the factors that contribute to a particular outcome, and to develop a theory.
What is the difference between a survey and an experiment?
-
A survey is a research method that involves asking people questions, while an experiment is a research method that involves manipulating one or more variables to see how it affects another variable.
-
A survey is a research method that is used to collect data from a large sample of people, while an experiment is a research method that is used to collect data from a small sample of people.
-
A survey is a research method that is used to collect data about people's opinions, while an experiment is a research method that is used to collect data about people's behavior.
-
All of the above.
A survey is a research method that involves asking people questions, while an experiment is a research method that involves manipulating one or more variables to see how it affects another variable.