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Genetics and Academic Achievement

Genetics and Academic Achievement

1) Describe a research question in psychology that interests you. Also, state a hypothesis for an experiment related to your research question.

Research Question: What is the relationship between academic achievement, genetics, and the environment in adopted children?

Hypotheses

Null Hypothesis: Adopted children have lower average GPAs at school compared to biological children.

Alternative Hypothesis: Adopted children have a higher average GPA at school compared to biological children.

Null Hypothesis: There is no relationship between genetic relation and academic achievement

Alternative Hypothesis: There is a relationship between genetic relation and academic achievement

2) How might you test your hypothesis? Briefly describe the procedure you would use, and discuss the independent variable(s) and dependent variables (s).

The critical variables for this study were genetic relation as the independent variable and academic achievement as the dependent variable. The independent variable was categorical, indicating whether the child was adopted or biological. The dependent variable was measured through academic performance, particularly the average GPA.

An independent sample T-test for the difference in mean GPA was conducted to test the first hypothesis. The second hypothesis was tested using a correlation test and regression analysis between genetics and academic performance. The correlation coefficient value confirmed the theory. The regression analysis also confirmed the significance of the relationship.

3a) In SPSS, enter hypothetical data for at least 15 participants. To do this, you must first create the variables in the “Variable View.” You must then enter the data in the “Data View.” When entering your hypothetical data, be sure to:

The data file will be submitted along with this worksheet.

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3b) Explain each of your variables. More specifically, which variable is the IV, and which is the DV? How would the variables be measured? How should the values be interpreted? For example, if your variable values are 1, 2, or 3, what do each of those numbers represent?

As mentioned, the independent variable is genetic relation. The independent variable has two levels: value one corresponds to biological children, and value two corresponds to adopted children. The dependent variable is academic achievement, which is the average GPA academic performance for the children for the last 5-8 years of schooling. The GPA scale is a scale of 0-4, where 0-1.0= Grade D, 1.0-2.0= Grade C, 2.0-3.0= Grade B, and 3.0-4.0= Grade A. The mean GPA values are used to compare the performance of the adopted and biological children, as shown in the T-test output table.

A sample of 20 participants, with 11 biological children and nine adopted children, was used for the hypothetical data. Value label 1 in the data view under Genetics represents the natural children, while value label 2 represents the adopted children. The regression output confirms the second hypothesis by showing a relatively strong positive relationship (R=0.639) between genetic relations and education achievement. The relationship between the variables is significant at a 5% significance level since the p-value is 0.002<0.005. However, the model explains 41% of the relationship between the variables. The T-test for the mean difference indicates that biological children have a higher average GPA than adopted children at a 1% significance level, which means we accept the null hypothesis.

SPSS Analysis Outputs

Correlation Output from IBM SPSS Within VDI

Regression Analysis Output from IBM SPSS Within VDI

Descriptive Statistics Output from IBM SPSS Within VDI

T-test for Difference in Mean

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Question 


Before you begin the assignment:

Questions:

1) Describe a research question in psychology that interests you. Also, state a hypothesis for an experiment related to your research question.

2) How might you test your hypothesis? Briefly describe the procedure you would use, and discuss the independent variable(s) and dependent variables (s).

3a) In SPSS, enter hypothetical data for at least 15 participants. To do this, you must first create the variables in the “Variable View.” You must then enter the data in the “Data View.” When entering your hypothetical data, be sure to:

Your data file will be submitted along with this worksheet.

3b) Explain each of your variables. More specifically, which variable is the IV, and which is the DV? How would the variables be measured? How should the values be interpreted? For example, if your variable values are 1, 2, or 3, what do each of those numbers represent?

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