Do not use hypertension or the Quasi-Experimental design for their final project. I want to see other research methods (it can be Quali or Quant) and designs (but no Quasi-Experimental design). Submission should be in a narrative format. Make sure to get your APA right. Use the assignment criteria in attached document as headings to ensure that you cover each section.

Title: Investigating the Relationship Between X and Y Using Experimental and Correlational Research Designs

Introduction:
Research methods and designs play a pivotal role in understanding and investigating various phenomena. In this study, we aim to explore the relationship between X and Y using experimental and correlational research designs. Experimental research allows for the manipulation of variables, while correlational research examines the degree of association between variables. By employing these research methods, we can gain a comprehensive understanding of the relationship between X and Y. This paper will provide a narrative account of the research process and findings, adhering to the guidelines set out in the APA format.

1. Research problem:
The research problem for this study is to examine the effects of X on Y and the nature of their relationship in a real-world setting. The study aims to contribute to the existing body of knowledge by exploring the potential causal connection between X and Y, as well as the strength and direction of association between these variables.

2. Research questions:
a. Does X have a significant impact on Y?
b. What is the nature of the relationship between X and Y?
c. How strong is the association between X and Y?
d. Are there any moderating or mediating variables that influence the relationship between X and Y?

3. Experimental research design:
To investigate the causal relationship between X and Y, an experimental research design will be employed. This design allows for the manipulation of X (independent variable) to examine its effects on Y (dependent variable). Participants will be randomly assigned to either the experimental group or the control group. The experimental group will be subjected to a varying degree of X, while the control group will not receive X. The dependent variable, Y, will be measured to determine any significant differences between the two groups.

Hypothesis:
We hypothesize that participants exposed to a higher level of X in the experimental group will exhibit a significant change in Y compared to the control group, indicating a cause-and-effect relationship between X and Y.

4. Correlational research design:
In addition to the experimental design, a correlational research design will be employed to examine the degree of association between X and Y. This design is particularly useful when manipulating variables is not feasible or ethical. A large sample of participants will be recruited, and X and Y will be measured using validated scales or instruments. Statistical analyses, such as correlation coefficients, will be conducted to determine the strength and direction of the relationship between X and Y.

Research sample:
For both the experimental and correlational designs, a diverse sample of participants will be recruited. To ensure the generalizability of the findings, efforts will be made to include individuals from different age groups, genders, and socioeconomic backgrounds. Adequate sample sizes will be determined based on power analyses to achieve sufficient statistical power.

Data collection:
Data collection will be carried out using various methods, such as surveys, interviews, and observations, depending on the nature of the research design. In the experimental design, pre- and post-tests will be conducted to measure the changes in Y before and after exposure to X. In the correlational design, participants will be asked to complete questionnaires that assess their levels of X and Y. All data will be collected anonymously to ensure participant confidentiality.

Data analysis:
For the experimental design, inferential statistical analyses, such as t-tests or analysis of variance (ANOVA), will be performed to test the significance of differences in Y between the experimental and control groups. Descriptive statistics will also be used to summarize the means and standard deviations of X and Y.

For the correlational design, correlational analyses, such as Pearson’s correlation coefficient or Spearman’s rank-order correlation, will be conducted to examine the strength and direction of the relationship between X and Y. Additional analyses, such as regression models, may also be employed to explore the predictive power of X on Y while controlling for potential confounding variables.

Conclusion:
By employing experimental and correlational research designs, this study aims to gain a comprehensive understanding of the relationship between X and Y. The findings from these investigations will contribute to the existing body of knowledge and have implications for future research, theory development, and practical applications in various fields.