Earlier this week, you practiced using ANCOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social

Description I have attached my output, the database and the assignment draft. i just need the SPSS portion answered. Earlier this week, you practiced using ANCOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using ANCOVA. Hopefully you are not yet tired of comparing means! To prepare for this Assignment: Review the datasets provided. Construct a research question based on one of those datasets. Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable?” By Day 7 The Assignment Use SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix. What is the null hypothesis for your question? What research design(s) would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? What is your covariate? What is the answer to your research question? What are the possible implications of social change? 3 attachments Slide 1 of 3 attachment_1 attachment_1 attachment_2 attachment_2 attachment_3 attachment_3 UNFORMATTED ATTACHMENT PREVIEW R.C. Ryan ANCOVA in SPSS 23 July 2023 Assignment One ANCOVA in SPSS Earlier this week, you practiced using ANCOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using ANCOVA. Hopefully you are not yet tired of comparing means! To prepare for this Assignment: • Review the datasets provided. • Construct a research question based on one of those datasets. • Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable?” By Day 7 The Assignment Use SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix. 1. What is the null hypothesis for your question? 2. What research design(s) would align with this question? 3. What dependent variable was used and how is it measured? 4. What independent variable is used and how is it measured? 5. What is your covariate? 6. What is the answer to your research question? 7. What are the possible implications of social change? In this paper we are going to talk about the ANCOVA models and how they are used in SPSS. Now what is an ANCOVA, this is a blended analysis of variance (ANOVA) and regressions, this is like the factorial ANOVA that can assist you in finding additional information that is considered on independent variable or a factor, this should be something that is not being influenced by others. This can be used as an extension of comparable multiple regression lines as well as multiple regressions in general. This can also see an extension of analysis of variances. Now typically ANCOVA is used as a baseline in groups, but it also can be used in the common practice of pretesting and post testing, this is often used in our education system to see if their students are retaining the data that is presented to them throughout the year. This technique is often used in non-experimental research other than within schools, like in surveys and quasi-experiments (Vogt, 1999). The use of ANCOVA can test all the regression lines you can see on the y intercepts and the slopes for all lines that are determined to be equal. One of the examples of seeing this within our society is that it is often times used in our medical facilities in their research and marketing campaigns. If you want to get a drug to fix what issue you have like depression or anxiety, you can use three treatment groups and one controlled group in order to get an accurate reading. In a typical ANOVA you can have external factors such as family life, job status and prior drug treatments as well as the drug usage within the experiment. This assists in controlling the covariate on a particular scale that are not the main focus of your study but are good information to have on file for additional studies that might take place in the future. As well as the studying of combinations or categorical and continuous variables as a predictor on your scales but is the not the one you’re interested in controlling in this experiment (Leech et. al, 2005). From the article… 1. What is the null hypothesis for your question? 2. What research design(s) would align with this question? 3. What dependent variable was used and how is it measured? 4. What independent variable is used and how is it measured? 5. What is your covariate? 6. What is the answer to your research question? 7. What are the possible implications of social change? In this paper we are going to go over the variables that we have chosen to explain using the SPSS References: Vogt, W. P. (1999). Dictionary of Statistics and Methodology: A Nontechnical Guide for the Social Sciences (2nd ed.). Thousand Oaks, CA: Sage Publications. Leech, N. et. al (2005). SPSS for Intermediate Statistics: Use and Interpretation. Psychology Press. Stephanie Glen. "AANCOVA: Analysis of Covariance" From StatisticsHowTo.com: Elementary Statistics for the rest of us! https://www.statisticshowto.com/ancova/ Tackney, M. S., Morris, T., White, I., Leyrat, C., Diaz-Ordaz, K., & Williamson, E. (2023). A comparison of covariate adjustment approaches under model misspecification in individually randomized trials. Trials, 24(1), 1–18. https://doi.org/10.1186/s13063-022-06967-6 Purchase answer to see full attachment Explanation & Answer: 6 Questions User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service