You are interested in the relationship between exercise and anxiety. You therefore design two separate studies. Study 1: You give a questionnaire about exercise. This questionnaire yields a score between 0 and 30, with 0 being never exercises, and 30 being exercises near constantly. You also give a questionnaire about anxiety. This questionnaire yields a score between 0 and 50, with 0 being not anxious at all, and 50 being extremely anxious. You then see if scores on the exercise questionnaire are related to scores on the anxiety questionnaire. Study 2: You randomly assign individuals to one of two groups. Group 1 must exercise for an hour a day 5 days a week, for one month. Group 2 must not exercise at all for the whole month. After the month, you conduct a formal diagnostic interview with each person to determine their level of anxiety. This anxiety interview yields an anxiety scale between 1 and 20. You then see if mean anxiety, as measured by the interview, is significantly different in the exercise group vs. the non-exercise group. Is Study 1 an experimental or nonexperimental method? What about the study makes it whatever method you chose? What type of validity (internal validity or external validity) is stronger in Study 1? What about the study makes that kind of validity particularly strong? How did Study 1 operationally define exercise? How did Study 1 operationally define anxiety? Is Study 2 an experimental or nonexperimental method? What about the study makes it whatever method you chose? What type of validity (internal validity or external validity) is stronger in Study 2? What about the study makes that kind of validity particularly strong? How did Study 2 operationally define exercise? Please label your responses to each part of the question with the corresponding letter (a-h).
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
You are interested in the relationship between exercise and anxiety. You therefore design two separate studies.
Study 1: You give a questionnaire about exercise. This questionnaire yields a score between 0 and 30, with 0 being never exercises, and 30 being exercises near constantly. You also give a questionnaire about anxiety. This questionnaire yields a score between 0 and 50, with 0 being not anxious at all, and 50 being extremely anxious. You then see if scores on the exercise questionnaire are related to scores on the anxiety questionnaire.
Study 2: You randomly assign individuals to one of two groups. Group 1 must exercise for an hour a day 5 days a week, for one month. Group 2 must not exercise at all for the whole month. After the month, you conduct a formal diagnostic interview with each person to determine their level of anxiety. This anxiety interview yields an anxiety scale between 1 and 20. You then see if mean anxiety, as measured by the interview, is significantly different in the exercise group vs. the non-exercise group.
- Is Study 1 an experimental or nonexperimental method? What about the study makes it whatever method you chose?
- What type of validity (internal validity or external validity) is stronger in Study 1? What about the study makes that kind of validity particularly strong?
- How did Study 1 operationally define exercise?
- How did Study 1 operationally define anxiety?
- Is Study 2 an experimental or nonexperimental method? What about the study makes it whatever method you chose?
- What type of validity (internal validity or external validity) is stronger in Study 2? What about the study makes that kind of validity particularly strong?
- How did Study 2 operationally define exercise?
Please label your responses to each part of the question with the corresponding letter (a-h).
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Experimental research is the type of research that uses a scientific approach towards manipulating one or more control variables of the research subjects and measures the effect of this manipulation on the subject while for non-experimental research this is the type of research that does not involve the manipulation of control variables.
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