details are in the docs. if you need the whole chapters. let me know and I’ll give you my login info
Hello! Please see the instructions attached and the book for your reference. If you have any questions, let me know.
Only part 1 needs to be complete, I will provide part 2 in a new order to you as well once students have posted part 1 tonight.
You have to do an article review the one I have attached “article to review”. there is a guideline as well.
Please see the questions attached for this assignment and show the work. Basically, these questions are based on chapter 14. I have also attached the book for your reference. Let me know if you have any questions. Please answer the questions the best you can.
Please follow the instructions and grading criteria, you have already done a similar discussion post previously for me. 3 sources required for part 1, nos sources for part 2. Thank You
Throughout the class, you created a research study based on publicly available data from the General Social Survey (GSS). You chose data which were representative of your interests and satisfied your research question and hypotheses.
The Final Project: Guide to Completing the Research Study is where you pull together the research you’ve been working on the first six weeks of class.Instructions:Complete the following assignment by filling all requested information into the worksheet. You will need to utilize SPSS and the GSS data set provided in class to complete it. Use a different, but legible, color font for your responses. This assignment is intended to help you complete the writing of a quantitative research essay/article, with particular emphasis on the Findings and Conclusion sections.General requirements:Submissions should be typed, double-spaced, 1″ margins, times new roman 12 pt font, and saved as .doc, .docx, or .pdf.
Use APA format for citations and references
View the grading rubric so you understand how you will be assessed on this Assignment.
Disclaimer: Originality of attachments will be verified by Turnitin. Both you and your instructor will receive the results.
This course has “Resubmission” status enabled to help you if you realize you submitted an incorrect or blank file, or if you need to submit multiple documents as part of your Assignment. Resubmission of an Assignment after it is grades, to attempt a better grade, is not permitted.
This Assignment meets these course objectives:CO1: Describe and apply the concepts and logic of elementary statistics.
CO2: Conduct statistical analysis in SPSS (Statistical Package for the Social Sciences).
CO3: Compare and contrast different types of data and the statistics that can be used to analyze them
CO4: Examine the differences between descriptive and inferential statistics and their use in the social sciences.
CO5: Complete and interpret descriptive and inferential statistical data analysis.
CO6: Develop a research project from conceptualizing a research problem and develop a number of complementary design, measurement, and data collection approaches to bring evidence to bear on the problem.
CO7: Form critical interpretations of quantitative research literature in sociology and other social sciences, critically evaluating the quality of research design and evidence in published social research.
In Week 3, we used crosstabs to determine if a potential relationship between two variables is worth examining further. During Week 4, we studied tests of significance. In this week’s discussion, students will apply these tests of significance to their project variables. As we discussed previously, the level of measurement of our variables determine which test of significance works for the research project.Complete the following steps:Post a brief explanation of your topic on: “Does the number of siblings affect mental health?” (the independent variable is “siblings,” and the dependent variable is “mental health).
Include your research question. Next, begin your 5 steps of hypothesis testing by stating your research and null hypotheses. State your alpha level is .05.
Run a test of significance on your variables (based on the level of measurement). Copy and paste the appropriate table into the window.
Identify the two-tailed p value and explain your findings. Is pAs a reminder, here is the guideline for tests of significance:1. IV and DV are BOTH categorical variables (nominal/ordinal): Chi-square2. IV and DV are both interval/ratio variables: Regression3. IV is categorical (nominal/ordinal) and DV is interval/ratio:a. IV has 2 values/groups: Independent Sample T-testb. IV has 3 or more values/groups: ANOVAWhy do we need to run tests of significance?They allow us to see if our relationship is “statistically significant.” To be more specific, these tests tell us if a relationship observed in a sample, like our research project based on GSS 2018 data set, is generalizable to the population from which this sample was drawn (US adults).
Test results reported under “p” in the SPSS output tell us the probability or likelihood that a relationship observed in the sample is not real, but rather due to factors like a sampling error or chance. We compare this “chance” with alpha (level of significance), commonly set as .05 or .01. If this chance is smaller than level of significance (p
You will first open SPSS and then open the GSS dataset within SPSS.
You are now going to create and post a frequency table, chart, and descriptives table (central tendency/dispersion) of each of your variables.
Complete the following steps:
1. Post a brief explanation of your topic. Include your research question “Does the number of siblings affect mental health?” (the independent variable is “siblings,” and the dependent variable is “mental health”) and for each variable – the name, survey question or description, answer categories (yes/no, strongly agree, disagree, etc.), and level of measurement (nominal, ordinal, or interval/ratio)
2. Include a frequency table for each of your variables. Explain your outputs in no more than 5 sentences for each variable. Cite numbers in the outputs to support your conclusion. When you cite %, use the % reported in the “valid percent” column.
3. Create a chart for each variable, which is a graphic representation of your data. The type of chart (pie, bar, or histogram) is based on a variable’s level of measurement. Explain your outputs for each variable. It is OK if your explanation is similar to (but not the same as) the frequency table interpretation since a chart is a different data presentation on the SAME variable. Cite numbers in the outputs to support your conclusion.
4. Describe the measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation) for each of your variables. Based on what you have learned in the readings and lessons this week, identify the best measures for each variable and explain what they tell us. What do these measures summarize for us about the variable’s data?
Copy all of the frequency tables and charts into the discussion window or into a document (PDF, MS Word) and attach to discussion. If your table/chart does not fit to the page, choose “copy special” and then “images” or take a screen shot of the table/chart to copy/past into the window.
there are 3 scenarios please read each Scenario-Based Critiques and answer the questions under the Scenario