Compose a Chart of Correlational Techniques and Statistical Methods

Assignment For this task, compose a chart of the four types of correlation coefficients, give an example of when you would use each of these correlations, and what type of research question would be a good match for this method. For example your chart may appear as:
Correlational Designs
Correlational designs attempt to determine how related two or more variables are to each other. This design involves both the measurement of two or more variables and includes the assessment of the relationship between or among those variables. This type of design can help researchers to identify developments, repetitions, or patterns in data.
Variables are not manipulated in this design. As with descriptive design, cause and effect cannot be determined using the correlational design because while it may show a relationship it does not necessarily show that the two variables actually have anything to do with each other. So this design is appropriate for looking at the strength of relationships such as the relationship between having pets and increased happiness, or the relationship between obesity and heart disease. Correlations can also help researchers in making predictions regarding one variable in relation to another.
A correlation is also a measure (method) for statistics that ranges from +1 to -1. A zero correlation indicates there is no relationship between the variables being measured. If a positive correlation is shown, it means that both variables move in the same direction.
If positive or negative correlations exist, it means as one variable goes up, the other goes down. These statistics can include a correlational coefficient which determines the strength of relationships (Pearson’s Product-Moment Correlation Coefficient) and advanced statistic such as regression analysis.
There are a number of ways to calculate a correlation such as the Pearson product moment correlation in which both variables are measured at an interval level. With two ordinal variables, for example, the Spearman Rank Order Correlation would be used. SPSS, the most commonly used software program, will allow you to select which type of correlation you want to use. The statistical formulas for the correlations will be different because of the type of data you are using for the formulas – but the basic idea is the same. Each of these correlations estimates the relationship between two variables.

Conclude your chart with a reflective summary in which you explain the essential features of each of the statistical methods.
Length: 2 page chart, 1 page summary

Compose a Chart of Correlational Techniques and Statistical Methods

Assignment For this task, compose a chart of the four types of correlation coefficients, give an example of when you would use each of these correlations, and what type of research question would be a good match for this method. For example your chart may appear as:
Correlational Designs
Correlational designs attempt to determine how related two or more variables are to each other. This design involves both the measurement of two or more variables and includes the assessment of the relationship between or among those variables. This type of design can help researchers to identify developments, repetitions, or patterns in data.
Variables are not manipulated in this design. As with descriptive design, cause and effect cannot be determined using the correlational design because while it may show a relationship it does not necessarily show that the two variables actually have anything to do with each other. So this design is appropriate for looking at the strength of relationships such as the relationship between having pets and increased happiness, or the relationship between obesity and heart disease. Correlations can also help researchers in making predictions regarding one variable in relation to another.
A correlation is also a measure (method) for statistics that ranges from +1 to -1. A zero correlation indicates there is no relationship between the variables being measured. If a positive correlation is shown, it means that both variables move in the same direction.
If positive or negative correlations exist, it means as one variable goes up, the other goes down. These statistics can include a correlational coefficient which determines the strength of relationships (Pearson’s Product-Moment Correlation Coefficient) and advanced statistic such as regression analysis.
There are a number of ways to calculate a correlation such as the Pearson product moment correlation in which both variables are measured at an interval level. With two ordinal variables, for example, the Spearman Rank Order Correlation would be used. SPSS, the most commonly used software program, will allow you to select which type of correlation you want to use. The statistical formulas for the correlations will be different because of the type of data you are using for the formulas – but the basic idea is the same. Each of these correlations estimates the relationship between two variables.

Conclude your chart with a reflective summary in which you explain the essential features of each of the statistical methods.
Length: 2 page chart, 1 page summary