or your initial post, review the video The Era of Blind Faith in Big Data Must End

In this module, you will explore the concept of algorithms in big data.

For your initial post, review the video The Era of Blind Faith in Big Data Must End (https://www.ted.com/talks/cathy_o_neil_the_era_of_blind_faith_in_big_data_must_end) and address the following:

  • What did you find most interesting about the video?
  • Why is it important to maximize the degree to which samples and data used to train or build algorithms are representative of the population?
  • How can human bias influence data used to test hypotheses?
  • How does the potential for human influences on data selection and interpretation relate to one of the programmatic themes below? You may want to review the Programmatic Themes document.
    • Social justice
    • Ethics

Describe the purpose of your memo and the plan to address the scenario in 1 to 3 sentences.

In this project, you will demonstrate your mastery of the following competencies:

  • Interpret psychological data using quantitative and qualitative methods
  • Apply the principles of statistical methods to inform a research problem

Scenario

You work for a market research company that supplies information to non-profit organizations throughout the nation. Your supervisor has asked you to provide an objective description of the data that will provide information regarding how to target different audiences in ways that bring about empathy. This will help your business support non-profit organizations in obtaining donations. You will create a short memorandum that includes graphical representations of your data in order to communicate this information.

 

https://vimeo.com/872963821/f7e1f32c56

 

Directions

For this project you will submit a memorandum as a Word file. You will complete your memo using your Soomo writing template and the data set provided in Soomo.

You must address the rubric criteria listed below:

  1. Introduction: Describe the purpose of your memo and the plan to address the scenario in 1 to 3 sentences.
  2. Conclusions: Describe your findings in an executive summary of 4 to 6 sentences. Include the following in your conclusions:
    1. The main points you want to convey to your audience
    2. Rationale for your points in the form of data summaries
  3. Discussion: Your discussion must address the following:
    1. Main Analysis: Describe the summary statistics and frequency distributions, taking into account the scale of measurement for your data. Refer to the graphs you created. Your main analysis section should be about 2 to 5 sentences.
    2. Graph One: Create a graphical representation of the qualitative (nominal and often ordinal) data to support your main analysis. Ensure your graph meets the following criteria: this is where I have the most problems
      1. You include a narrative to introduce your graph into your memo.
      2. Your graph is accurate and objective.
      3. Your graph appropriately represents the data.
      4. You use the appropriate type of graph for the data.
      5. Your graph is labeled appropriately.
    3. Graph Two: Create a graphical representation of the quantitative (interval and/or ratio) data to support your main analysis. Ensure your graph meets the following criteria: this where I have the most problems
      1. You include a narrative to introduce your graph into your memo.
      2. Your graph is accurate and objective.
      3. Your graph appropriately represents the data.
      4. You use the appropriate type of graph for the data.
      5. Your graph is labeled appropriately.
    4. Recommendations: Describe the actions you believe your audience should take in 2 to 5 sentences.
    5. Limitations: Describe the limitations of both your data and your summaries in 1 to 3 sentences.
    6. You may need to take a screenshot of each graph in order to do so.
id year class empathy1 empathy2 empathy2_r empathy3 empathy4 empathy4_r empathy5 empathy5_r empathy6 empathy7 empathy_average
793 2002 1 5 1 5 1 1 5 5 1 1 3 3
1916 2004 3 5 5 1 5 1 5 1 5 5 5 4.428571429
1546 2002 2 3 2 4 5 1 5 1 5 4 4 4.285714286
2336 2004 2 5 1 5 5 1 5 1 5 5 5 5
2345 2004 2 5 1 5 3 5 1 1 5 5 4 4
2246 2002 2 5 1 5 5 1 5 1 5 5 5 5
2396 2004 2 5 1 5 5 1 5 1 5 5 5 5
601 2002 2 5 2 4 4 1 5 1 5 5 5 4.714285714
973 2004 3 3 3 3 5 1 5 2 4 5 4 4.142857143
1546 2004 3 1 1 5 3 3 3 1 5 2 3 3.142857143
174 2002 3 4 2 4 4 2 4 2 4 4 4 4
2203 2002 2 5 5 1 3 5 1 5 1 4 5 2.857142857
2388 2002 2 3 3 3 4 3 3 4 2 5 5 3.571428571
1058 2004 2 4 3 3 4 2 4 2 4 3 4 3.714285714
872 2004 3 5 1 5 4 1 5 2 4 4 4 4.428571429
2225 2002 2 3 4 2 4 3 3 1 5 3 3 3.285714286
815 2002 2 5 1 5 5 4 2 1 5 5 5 4.571428571
1190 2004 2 4 2 4 5 1 5 1 5 5 5 4.714285714
1082 2004 3 5 3 3 4 1 5 2 4 3 4 4
1536 2004 1 1 1 5 5 1 5 2 4 5 5 4.285714286
1393 2004 2 4 3 3 5 4 2 2 4 4 4 3.714285714
506 2002 3 5 5 1 5 1 5 5 1 5 1 3.285714286
370 2002 3 3 4 2 2 3 3 3 3 3 2 2.571428571
647 2004 3 5 5 1 3 2 4 4 2 5 3 3.285714286
720 2004 2 5 3 3 5 3 3 5 1 3 3 3.285714286
2617 2004 2 4 2 4 3 2 4 2 4 4 4 3.857142857
613 2004 3 4 2 4 5 1 5 1 5 5 4 4.571428571
1163 2002 3 5 1 5 1 4 2 1 5 5 5 4
1168 2002 3 3 1 5 1 2 4 3 3 3 2 3
1422 2004 2 5 2 4 5 1 5 1 5 5 5 4.857142857
2110 2004 3 5 3 3 4 4 2 3 3 3 4 3.428571429
2148 2004 3 3 3 3 5 2 4 1 5 3 5 4
1743 2004 3 5 2 4 4 2 4 2 4 5 4 4.285714286
2406 2004 2 5 2 4 5 1 5 1 5 4 4 4.571428571
2380 2004 3 5 3 3 5 4 2 1 5 5 5 4.285714286
980 2004 3 4 4 2 4 1 5 1 5 5 4 4.142857143
1873 2004 3 5 1 5 5 4 2 4 2 4 4 3.857142857
307 2004 2 3 2 4 5 4 2 1 5 4 4 3.857142857
2340 2004 2 5 1 5 5 1 5 1 5 5 4 4.857142857
747 2002 2 5 1 5 5 5 1 1 5 5 5 4.428571429
1575 2002 3 4 5 1 3 5 1 3 3 5 4 3
1280 2002 2 3 1 5 5 1 5 1 5 5 5 4.714285714
1376 2004 3 5 1 5 5 1 5 1 5 3 5 4.714285714
1020 2002 2 3 3 3 3 3 3 3 3 3 3 3
1168 2004 2 4 5 1 4 1 5 1 5 5 5 4.142857143
605 2004 3 5 2 4 3 2 4 2 4 4 4 4
2199 2004 3 5 1 5 5 1 5 1 5 5 5 5
1209 2004 3 4 1 5 3 1 5 1 5 5 4 4.428571429
458 2004 2 3 3 3 4 3 3 2 4 4 4 3.5714

Evaluate the strengths and weaknesses of this approach and support your claims with research findings.

For this discussion,  it will be assigned a theorist or theorists according to your last name. Your instructor may reassign you to a different theorist as needed, so check the announcements for any revisions.

In your initial post, you will briefly describe your assigned theorists’ approach to personality psychology. Evaluate the strengths and weaknesses of this approach and support your claims with research findings. Be sure to consider the validity and reliability of the research support you provide.

If the first letter of your last name is I-P, the theorist to evaluate is Kelly.

Are there differences in the average feelings of warmth toward liberals among people who were interviewed in different geographic regions of the United States?

Overview

You work for a market research company that supplies information for political non-profit organizations throughout the nation. A number of your clients are interested in the public perception of policies about sexual orientation.

For this milestone, you will create an action strategy for each research question below and then choose one research question to analyze in more detail for Project Two, due in Module Seven. You will be provided with one Excel file down below Each tab in the Excel file contains a data set with different variables that correspond to one of the research questions. Note: The tab number does not necessarily correspond to the research question number, as identifying the data set that corresponds to each question is part of your task.

Research Questions

  1. Are there differences in the average agreement with gay individuals having the right to marry one another among people who were interviewed in different geographic regions of the United States?
  2. Are there differences in the average feelings of warmth toward liberals among people who were interviewed in different geographic regions of the United States?
  3. Is there a linear relationship between feelings toward liberals and beliefs regarding gay persons’ right to marry one another?
  4. Is there a linear relationship between feelings toward conservatives and beliefs regarding gay persons’ right to marry one another?

Prompt

You will use your webtext writing template to complete this milestone. Use the Excel file provided in your Soomo webtext. Specifically, you must address the following rubric criteria:

  1. For each research question:
    • Write a possible corresponding research hypothesis for each research question. Your responses should be about 25 words in length.
    • Select the appropriate inferential test for each research question. Your responses should be about 25 words in length.
    • Justify your choice of inferential test for each research question, including how the scales of measurement affect this decision. Your responses should be about 25 to 50 words in length.
  2. For one research question:
    • Identify the research question you will use to complete Project Two. Your response should be about 25 words in length.
    • Explain what personal or professional reasons you had for choosing this research question. Your response should be about 75 to 100 words in length.
    • Explain the social relevance of this topic. Include at least one scholarly source or recent review article that relates to the social relevance of the topic. Your response should be about 75 to 100 words in length.
    • excel file is below for reference
id year contemp marhomo
948 1988 50 1
919 1988 40 2
416 1988 60 2
1464 1988 60 1
1206 1988 60 1
822 1988 60 2
431 1988 50 4
539 1988 70 1
596 1988 85 1
1130 1988 40 1
854 1988 85 1
1413 1988 60 1
378 1988 85 1
1104 1988 50 2
257 1988 50 2
898 1988 50 2
790 1988 50 3
66 1988 30 1
852 1988 60 1
1152 1988 70 4
91 1988 70 1
1347 1988 40 1
1009 1988 60 1
531 1988 60 2
913 1988 15 4
316 1988 50 1
337 1988 15 2
248 1988 50 1
345 1988 50 2
949 1988 15 1
1440 1988 30 2
826 1988 50 1
768 1988 60 2
1114 1988 50 4
286 1988 40 3
1281 1988 70 2
729 1988 70 1
1314 1988 30 1
1425 1988 60 2
538 1988 40 2
866 1988 85 1
1357 1988 60 2
1441 1988 15 1
730 1988 85 2
144 1988 30 2
1232 1988 60 2
1050 1988 50 1
1162 1988 50 1
717 1988 75 4
1403 1988 50 3
281 1988 60 1
928 1988 70 1
916 1988 70 4
472 1988 85 1
833 1988 50 1
211 1988 50 2
180 1988 30 4
987 1988 60 4
139 1988 60 3
614 1988 50 1
669 1988 50 2
116 1988 50 2
314 1988 50 1
952 1988 85 5
240 1988 50 1
459 1988 40 1
762 1988 50 2
1116 1988 85 1
121 1988 30 1
423 1988 60 1
1390 1988 60 1
95 1988 60 3
196 1988 50 1
846 1988 85 1
1422 1988 60 2
1323 1988 50 1
594 1988 85 1
647 1988 40 1
28 1988 30 2
1056 1988 85 1
885 1988 40 2
847 1988 50 1
844 1988 60 2
1185 1988 85 2
1384 1988 85 1
1133 1988 70 3
312 1988 85 2
1037 1988 70 1
267 1988 30 4
254 1988 50 2
1147 1988 40 1
15 1988 40 1
932 1988 70 1
795 1988 50 1
727 1988 50 1
1443 1988 70 3
214 1988 40 4
848 1988 100 1
122 1988 60 3
1196 1988 60 4
1100 1988 50 4
809 1988 50 2
1458 1988 50 3
37 1988 60 2
1054 1988 50 2
601 1988 50 1
796 1988 30 3
396 1988 75 3
1375 1988 40 1
701 1988 30 2
1040 1988 70 1
643 1988 50 3
937 1988 60 1
757 1988 70 3
315 1988 35 2
665 1988 70 2
1013 1988 70 1
607 1988 60 3
1119 1988 70 1
16 1988 40 1
408 1988 70 4
1337 1988 50 2
1453 1988 60 3
828 1988 40 5
494 1988 70 3
1230 1988 50 2
487 1988 15 1
1111 1988 40 3
433 1988 60 2
445 1988 40 2
1015 1988 70 1
632 1988 70 2
138 1988 70 1
1077 1988 50 1
998 1988 70 3
47 1988 60 2
492 1988 70 1
382 1988 50 4
592 1988 70 4
455 1988 50 5
907 1988 70 2
1421 1988 50 1
1463 1988 85 1
19 1988 60 3
1312 1988 100 2
621 1988 60 1
821 1988 50 1
368 1988 50 1
406 1988 60 5
617 1988 70 1
283 1988 50 1
504 1988 70 4
140 1988 50 3
842 1988 50 1
1164 1988 85 1
543 1988 70 2
1461 1988 40 4
1288 1988 70 2
260 1988 70 2
1264 1988 50 2
364 1988 70 2
1033 1988 50 1
725 1988 50 2
909 1988 15 1
137 1988 60 1
1080 1988 50 4
558 1988 85 1
1003 1988 70 3
302 1988 20 5
1442 1988 60 1
1141 1988 60 2
779 1988 50 1
629 1988 60 1
205 1988 70 2
1308 1988 85 2
972 1988 60 2
1418 1988 50 1
329 1988 50 1
439 1988 70 1
307 1988 85 1
853 1988 60 2
481 1988 50 2
867 1988 60 1
219 1988 60 1
1345 1988 50 1
1021 1988 30 1
17 1988 50 2
512 1988 85 2
1247 1988 50 4
1367 1988 50 1
1010 1988 85 1
759 1988 40 1
1158 1988 70 1
863 1988 15 1
23 1988 50 3
1473 1988 75 1
326 1988 50 1
253 1988 60 1
969 1988 50 1
143 1988 50 3
840 1988 60 1
718 1988 60 1
722 1988 100 1
48 1988 90 4
568 1988 60 2
1028 1988 50 3
1378 1988 70 2
343 1988 70 1
152 1988 40 1
1450 1988 70 1
956 1988 40 4
1368 1988 90 1
1331 1988 60 1
549 1988 60 4
1322 1988 60 2
991 1988 50 1
528 1988 50 4
1120 1988 15 3
1437 1988 30 1
1388 1988 50 3
1055 1988 50 1
158 1988 30 3
207 1988 60 2
352 1988 50 2
1068 1988 30 4
243 1988 50 2
1019 1988 50 2
1376 1988 70 1
1248 1988 40 4
1260 1988 50 5
1038 1988 20 5
963 1988 60 3
689 1988 100 1
226 1988 70 1
1445 1988 60 1
440 1988 50 2
1446 1988 70 3
1173 1988 100 1
200 1988 50 1
1399 1988 40 1
1024 1988 50 1
555 1988 85 3
652 1988 50 4
1031 1988 85 1
666 1988 50 1
101 1988 60 3
1166 1988 85 1
860 1988 60 1
772 1988 50 1
471 1988 70 2
206 1988 70 2
1405 1988 40 1
743 1988 85 1
966 1988 85 1
109 1988 0 2
1078 1988 60 3
1436 1988 70 1
1216 1988 50 1
585 1988 60 1
1062 1988 50 1
1286 1988 50 2
1221 1988 50 1
33 1988 50 5
1349 1988 60 1
100 1988 15 4
218 1988 40 3
1460 1988 70 3
1290 1988 50 2
520 1988 60 3
1107 1988 50 2
1088 1988 70 2
723 1988 85 1
1392 1988 40 3
675 1988 60 2
220 1988 50 1
335 1988 50 1
557 1988 60 4
726 1988 85 1
1410 1988 70 3
1086 1988 70 1
350 1988 50 1
641 1988 50 2
1342 1988 0 1
696 1988 0 4
1093 1988 70 1
1355 1988 50 2
426 1988 75 1
1371 1988 60 3
323 1988 60 4
145 1988 50 2

what is the social relevance in researching is there a linear relationship between feelings toward conservatives and beliefs regarding gay persons’ right to marry one another?

what is the social relevance in researching is there a linear relationship between feelings toward conservatives and beliefs regarding gay persons’ right to marry one another?

 

Imagine you work as a research assistant in Washington, DC, at the Department of Justice.

Imagine you work as a research assistant in Washington, DC, at the Department of Justice. The Department of Justice is interested in issues related to race, discrimination, and policing. Your team has been given data and output from chi-square tests, and you are tasked with communicating the findings and possible implications directly to police departments.

In this milestone, you will choose the topic you will use to complete Project Three, due in Module Eight, and create two annotated bibliography entries. Your project requires that you provide background information on the topic you select. For topics and associated articles available to you, see the table in the Project Three Milestone Topics document down below. The purpose of this milestone is to practice evaluating credible sources related to your topic. Note that for each topic, two credible sources have been provided. The audience for each article is different. One article is written for the scientific community, and the other is tailored to a more general audience. This difference will be important when you complete Project Three.

 

Prompt

Begin by reviewing the three topics presented, as well as the Excel file containing the data and output from chi-square tests that you will use to complete Project Three. You will complete your milestone using your Soomo writing template. The Excel file is provided in Soomo.

For this milestone, you will create two annotated bibliography entries. Review the example provided in your Soomo webtext.

Specifically, you must address the following rubric criteria:

  1. Select the topic and explain why you selected that topic. Your response should be about 2 to 3 sentences.
  2. Create an annotated bibliography entry for your first article. Your response should be about 8 to 10 sentences that include the following elements:
    • A description of the main purpose or goal of the article
    • A description of the approach the authors took in their research
  3. Create an annotated bibliography entry for your second article. Your response should be about 8 to 10 sentences that include the following elements:
    • A description of the main purpose or goal of the article
    • A description of the approach the authors took in their research
  4. Describe the difference in communication style of the two articles. Your response should be about 3 to 5 sentences. Consider the following in your response:
    • Do the articles reach a similar conclusion?
    • Do the articles present similar information?
    • Do the articles consider the role of visuals in the same way?
    • Do the articles present the findings in a convincing way, and is one more effective?
    • How do the tone and style of the articles compare, and what does that mean for the reader?

PSY 260 Project Three Milestone Topics

 

Topic

Chi-Square Test and Variable Definition

Note: The variables are also defined in your data set.

Articles for Annotated Bibliography

 

Police Striking Adults

A two-way chi-square test to evaluate whether race and polhitok are dependent. The survey questions that correspond to these variables are:

●  Race: What race do you consider yourself?

●  Polhitok: Are there any situations you can imagine in which you would approve of a policeman striking an adult male citizen?

●  10 Things We Know About Race and Policing in the U.S.

●  Examining the Racial-Ethnic Continuum and Perceptions of Police Misconduct

 

Racial Discrimination

A two-way chi-square test to evaluate whether race and racdif1 are dependent. The survey questions that correspond to these variables are:

●  Race: What race do you consider yourself?

●  Racdif1: On the average, Black people have worse jobs, income, and housing than White people. Do you think these differences are mainly due to discrimination?

● On Views of Race and Inequality,

 

Blacks and Whites Are Worlds Apart

 

Explanations for Racial Disadvantage

and Racial Advantage: Beliefs About

 

Both Sides of Inequality in America

1

Topic Chi-Square Test and Variable Definition

Note: The variables are also defined in your data set.

Articles for Annotated Bibliography
Police Spending A two-way chi-square test to evaluate whether race and natcrimy are dependent. The survey questions that correspond to these variables are:

●  Race: What race do you consider yourself?

●  Natcrimy: Are we spending too much, too little, or about the right amount on law enforcement?

●  Majority of Public Favors Giving Civilians the Power to Sue Police Officers for Misconduct

●  Examining the Racial-Ethnic Continuum and Perceptions of Police Misconduct

THE ARTICLE:

 

https://www.pewresearch.org/short-reads/2020/06/03/10-things-we-know-about-race-and-policing-in-the-u-s/

https://www-tandfonline-com.ezproxy.snhu.edu/doi/full/10.1080/10439463.2017.1310859

https://www.pewresearch.org/social-trends/2016/06/27/on-views-of-race-and-inequality-blacks-and-whites-are-worlds-apart/

https://eds-p-ebscohost-com.ezproxy.snhu.edu/eds/detail/detail?vid=0&sid=5b4e4885-434d-4186-b833-7d8d15f1b225%40redis&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#AN=83845263&db=tsh

https://www.pewresearch.org/politics/2020/07/09/majority-of-public-favors-giving-civilians-the-power-to-sue-police-officers-for-misconduct/

https://eds-p-ebscohost-com.ezproxy.snhu.edu/eds/detail/detail?vid=0&sid=2057f5e7-e269-46fb-be4d-2fda9684fb4e%40redis&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#AN=83845263&db=tsh

 

 .webtext-apa-reference-list>p { font-family: “Times New Roman”, Georgia, serif; line-height: 2.0; margin-bottom: 0; } Annotated BibliographyJohnson, S. B., Arevalo, J., Cates, C. B., Weisleder, A., Dreyer, B. P., & Mendelsohn, A. L. (2016). Perceptions about parental engagement among Hispanic immigrant mothers of first graders from low-income backgrounds. Early Childhood Education Journal, 44, 445-452. https://doi.org/10.1007/s10643-015-0728-z A purpose of the Johnson et al. (2016) study was to better understand the role that parents, particularly Hispanic parents who are immigrants and low income, play in their children’s education. According to the authors, little is known about how this group of parents is involved and the role they think they should play in supporting their children’s education. Participants were recruited from a larger randomized control trial focused on parenting and school readiness. The sample for this study included 92 mothers with a child in the first grade. More than 90% of mothers were Hispanic immigrants. On average, mothers had completed 9.8 years of education. Data was collected using qualitative methods. Mothers were interviewed, and their responses were transcribed and coded into themes to address the research purpose. Findings from this study indicated that mothers emphasized the need to be involved in their children’s learning. In particular, mothers reported involvement in their children’s homework, believing they should provide help in this area. This study builds on prior research in parental involvement in young children’s education and focused on a group of parents who have received less attention in the research in this area. This study also shows how Hispanic immigrant parents with low income are involved in the learning process and that they too value their children’s education and want them to do well. In conclusion, parents want to be involved in their children’s learning, regardless of racial/ethnic and socioeconomic background.

 

DATA

id year race sex age educ racdif1 polhitok natcrimy
4 2018 1 2 63 16 1 1 1
10 2018 1 1 55 12 1 1 2
48 2018 1 2 53 18 1 1 2
89 2018 1 1 55 18 1 1 3
105 2018 1 1 56 18 1 1 3
107 2018 1 1 23 12 1 1 1
115 2018 1 1 70 16 1 1 3
139 2018 1 2 38 12 1 1 1
142 2018 1 1 34 17 1 1 1
150 2018 1 2 59 19 1 1 2
252 2018 1 1 37 16 1 1 3
253 2018 1 2 61 14 1 1 1
276 2018 1 1 53 16 1 1 2
304 2018 1 2 52 20 1 1 2
337 2018 1 2 26 16 1 1 1
340 2018 1 2 56 16 1 1 1
392 2018 1 1 28 18 1 1 2
434 2018 3 2 32 16 1 1 2
468 2018 1 1 76 15 1 1 2
476 2018 1 1 70 15 1 1 1
488 2018 1 2 85 12 1 1 1
523 2018 1 1 63 12 1 1 1
542 2018 1 1 71 16 1 1 3
573 2018 1 1 37 20 1 1 2
586 2018 3 2 27 7 1 1 1
727 2018 2 1 48 13 1 1 1
747 2018 1 2 65 16 1 1 1
795 2018 2 1 62 20 1 1 3
804 2018 1 1 40 16 1 1 1
810 2018 1 1 60 13 1 1 1
821 2018 1 2 40 18 1 1 3
840 2018 1 1 78 10 1 1 2
861 2018 2 1 35 16 1 1 2
872 2018 1 2 89 12 1 1 1
941 2018 2 2 54 14 1 1 1
973 2018 1 1 27 12 1 1 2
1090 2018 1 1 30 16 1 1 1
1129 2018 1 1 25 17 1 1 2
1141 2018 1 1 84 16 1 1 2
1145 2018 3 1 28 19 1 1 2
1150 2018 1 1 85 17 1 1 1
1233 2018 1 1 27 14 1 1 2
1260 2018 1 2 37 16 1 1 3
1298 2018 1 2 63 12 1 1 2
1335 2018 1 1 69 18 1 1 2
1500 2018 2 1 63 13 1 1 1
1564 2018 1 2 61 19 1 1 2
1586 2018 1 2 36 12 1 1 1
1657 2018 1 1 47 12 1 1 1
1677 2018 1 2 34 12 1 1 1
1680 2018 1 1 34 15 1 1 1
1703 2018 2 1 57 12 1 1 3
1718 2018 2 1 24 17 1 1 2
1723 2018 1 1 55 15 1 1 1
1735 2018 1 1 74 14 1 1 1
1747 2018 2 1 63 11 1 1 1
1806 2018 1 2 70 17 1 1 1
1898 2018 1 2 54 14 1 1 1
2000 2018 3 2 51 12 1 1 1
2021 2018 1 1 68 14 1 1 2
2080 2018 2 1 26 12 1 1 2
2087 2018 1 1 64 12 1 1 1
2106 2018 1 1 51 14 1 1 1
2116 2018 1 1 68 12 1 1 2
2118 2018 1 2 66 14 1 1 1
2121 2018 2 2 48 14 1 1 1
2132 2018 1 2 22 12 1 1 1
2142 2018 1 2 50 12 1 1 1
2147 2018 1 1 71 12 1 1 2
2266 2018 2 1 84 4 1 1 2
2328 2018 1 1 66 16 1 1 2
2331 2018 1 1 50 14 1 1

How do the examples given in the video (jury decisions and medical tests) connect to what you learned about statistical decision making related to Type I errors (false positives) and Type II errors (false negatives)?

In this module, you are exploring ways that we use statistical reasoning and decision making in our everyday lives. Decisions we make in everyday life are all based on probability—but often in an intuitive way. For example, if a family member gets a positive screening for cancer or another disease, this is a probabilistic determination based on the measurement made. Similarly, when police arrest individuals or juries convict them, they do so based on probabilistic determinations (e.g., how likely is it that this evidence would exist if the person were innocent?). Even mundane decisions like when to leave for work to arrive on time are based on probabilistic determinations. You cannot know that leaving at a certain time will mean arriving on time because there are a variety of variables you may fail to consider. However, you can make reasonable inferences based on probability, given the variables about which you are aware (e.g., traffic patterns, risk of accidents, existing construction, etc.). Clearly, statistical decision making inundates our lives whether we are aware of it or not.

First you will watch a TED Talk that discusses real-world contexts in which statistical decision making is crucial and consequential: How Juries Are Fooled by Statistics https://www.ted.com/talks/peter_donnelly_how_juries_are_fooled_by_statistics?language=en. (Note: Pay special attention to the video from 10:47 to end.) As you answer the discussion questions, think about the statistical concepts you learned in this module regarding statistical decision making, such as true and false positives and negatives. You will write about the ways that statistical decision making is involved in many areas of our daily life and demonstrate your understanding of these key concepts related to inferential statistical decision making.

For your initial post, review the video and address the following:

  • How do the examples given in the video (jury decisions and medical tests) connect to what you learned about statistical decision making related to Type I errors (false positives) and Type II errors (false negatives)? Select either Type I errors or Type II errors, and explain your response.
  • Which programmatic theme(s) tie in with the examples?
  • In general, do you think that making Type I or Type II errors is worse?
  • Do you think the context in which the statistical decision is being made affects which of the errors is worse?
    • For example, if you think about scientific research into curing cancer, or jury decisions about criminal convictions, or scheduling decisions to get to work on time, do you feel that the negative effects of Type I and Type II errors are similar or different across these contexts?
  • Given your earlier discussion about the importance of statistical thinking for effective citizenship and what you have learned in the course in general and this module specifically, do you still hold the same view about the importance of statistical thinking for the general population? Why or why not?

if any citations or reference please provide them I would greatly appreciate that

How does the concept of testing on vulnerable populations apply to any of the following programmatic course themes Self care, Social justice, Emotional Intelligence, Career connections or Ethics

How does the concept of testing on vulnerable populations apply to any of the following programmatic course themes Self care, Social justice, Emotional Intelligence, Career connections or Ethics

Are there differences in the average agreement with gay individuals having the right to marry one another among people who were interviewed in different geographic regions of the United States?

Competencies

In this project, you will demonstrate your mastery of the following competencies:

  • Interpret psychological data using quantitative and qualitative methods
  • Apply the principles of statistical methods to inform a research problem

Scenario

You work for a market research company that supplies information for political non-profit organizations throughout the nation. A number of your clients are interested in the public perception around policies about sexual orientation and political opinions and ideologies.

In your milestone assignment, you selected one of the following research topics. You will use your selected research topic and the relevant data set provided in your Soomo webtext to support your analysis. Then you will summarize your analysis in a brief report.

Research Questions

  1. Are there differences in the average agreement with gay individuals having the right to marry one another among people who were interviewed in different geographic regions of the United States?
  2. Are there differences in the average feelings of warmth toward liberals among people who were interviewed in different geographic regions of the United States?
  3. Is there a linear relationship between feelings toward liberals and beliefs regarding gay persons’ right to marry one another?
  4. Is there a linear relationship between feelings toward conservatives and beliefs regarding gay persons’ right to marry one another?

Directions

For this project, you will submit an analysis report summary, which is an APA-style write-up. You will complete your summary using your Soomo writing template and the data set provided in Soomo.

Your first step is to perform the inferential test you selected in your Project Two Milestone using the appropriate data set provided in Soomo. Then you will complete the APA write-up for that inferential test using your Soomo writing template.

 

 

To submit your output as part of your Soomo writing template, you can use this resource: Create a picture from cells, a chart, or an object in Excel.

Refer to your exemplar to ensure that you format your write-up appropriately. You must address the following rubric criteria:

Analysis Report Summary

  1. Select and report the inferential statistical test contextualized in the research question.
  2. Provide the alpha value and use it to determine the significance of your test.
  3. Report the results in APA format, including statistic value with degree of freedom, value, and effect size.
  4. Report the values necessary to interpret the findings and identify the pattern of relationship (for example, slope for regression and means for ANOVA).
  5. Connect the statistical findings back to the research question and conceptual variables.
  6. Propose an actionable item that uses the results of your findings relevant to the research question.
  7. Provide the output from your data analysis (using the Analysis ToolPak) as a screenshot or picture.

Scenario

You are a self-employed clinical psychiatrist. You maintain data regarding treatments and responses for clients you have served, and you use this data for internal improvement processes to ensure that you are delivering informed, evidence-based treatments based both on the literature and the data collected in your own practice. You specialize in treatment of Bipolar I disorder, a condition in which full manic symptomatic presentations are a concern. You have data from patients who refused treatment (control) or opted to receive either psychotherapy or pharmacotherapy. You decide to use the data to determine whether there are significant differences in the number of manic symptoms experienced by patients as a result of treatment. Select and perform the correct test to answer this question.

Response

A one-way between-subjects analysis of variance (ANOVA) was performed to assess the effect of treatment on post-treatment manic symptoms in a sample of patients with bipolar disorder using α = .05. The main effect of treatment was statistically significant, F(2, 42) = 8.728, p = .001, η2 = .294. Post hoc analyses were performed to assess the significant effect of treatment using independent-samples t tests to compare each treatment to the no-treatment control condition. The comparisons revealed that psychotherapy (M = 9.80, SD = 4.09) was significantly more effective in reducing manic symptoms than no treatment (M = 19.80, SD = 5.70), t(28) = 5.52, p < .001. However, the post hoc comparison showed no significant difference between pharmacotherapy (M = 14.20, SD = 8.96) and control, t(28) = 2.04, p = .051. These results show that the number of manic symptoms experienced after receiving psychotherapy was significantly lower than the no-treatment control; however, the number of manic symptoms experienced after receiving pharmacotherapy was not significantly lower than no-treatment control. These findings suggest that recommending psychotherapy for those with Bipolar I disorder would be a best practice for reducing manic symptoms.

 

Project Two Data Set:

id year contemp marhomo
948 1988 50 1
919 1988 40 2
416 1988 60 2
1464 1988 60 1
1206 1988 60 1
822 1988 60 2
431 1988 50 4
539 1988 70 1
596 1988 85 1
1130 1988 40 1
854 1988 85 1
1413 1988 60 1
378 1988 85 1
1104 1988 50 2
257 1988 50 2
898 1988 50 2
790 1988 50 3
66 1988 30 1
852 1988 60 1
1152 1988 70 4
91 1988 70 1
1347 1988 40 1
1009 1988 60 1
531 1988 60 2
913 1988 15 4
316 1988 50 1
337 1988 15 2
248 1988 50 1
345 1988 50 2
949 1988 15 1
1440 1988 30 2
826 1988 50 1
768 1988 60 2
1114 1988 50 4
286 1988 40 3
1281 1988 70 2
729 1988 70 1
1314 1988 30 1
1425 1988 60 2
538 1988 40 2
866 1988 85 1
1357 1988 60 2
1441 1988 15 1
730 1988 85 2
144 1988 30 2
1232 1988 60 2
1050 1988 50 1
1162 1988 50 1
717 1988 75 4
1403 1988 50 3
281 1988 60 1
928 1988 70 1
916 1988 70 4
472 1988 85 1
833 1988 50 1
211 1988 50 2
180 1988 30 4
987 1988 60 4
139 1988 60 3
614 1988 50 1
669 1988 50 2
116 1988 50 2
314 1988 50 1
952 1988 85 5
240 1988 50 1
459 1988 40 1
762 1988 50 2
1116 1988 85 1
121 1988 30 1
423 1988 60 1
1390 1988 60 1
95 1988 60 3
196 1988 50 1
846 1988 85 1
1422 1988 60 2
1323 1988 50 1
594 1988 85 1
647 1988 40 1
28 1988 30 2
1056 1988 85 1
885 1988 40 2
847 1988 50 1
844 1988 60 2
1185 1988 85 2
1384 1988 85 1
1133 1988 70 3
312 1988 85 2
1037 1988 70 1
267 1988 30 4
254 1988 50 2
1147 1988 40 1
15 1988 40 1
932 1988 70 1
795 1988 50 1
727 1988 50 1
1443 1988 70 3
214 1988 40 4
848 1988 100 1
122 1988 60 3
1196 1988 60 4
1100 1988 50 4
809 1988 50 2
1458 1988 50 3
37 1988 60 2
1054 1988 50 2
601 1988 50 1
796 1988 30 3
396 1988 75 3
1375 1988 40 1
701 1988 30 2
1040 1988 70 1
643 1988 50 3
937 1988 60 1
757 1988 70 3
315 1988 35 2
665 1988 70 2
1013 1988 70 1
607 1988 60 3
1119 1988 70 1
16 1988 40 1
408 1988 70 4
1337 1988 50 2
1453 1988 60 3
828 1988 40 5
494 1988 70 3
1230 1988 50 2
487 1988 15 1
1111 1988 40 3
433 1988 60 2
445 1988 40 2
1015 1988 70 1
632 1988 70 2
138 1988 70 1
1077 1988 50 1
998 1988 70 3
47 1988 60 2
492 1988 70 1
382 1988 50 4
592 1988 70 4
455 1988 50 5
907 1988 70 2
1421 1988 50 1
1463 1988 85 1
19 1988 60 3
1312 1988 100 2
621 1988 60 1
821 1988 50 1
368 1988 50 1
406 1988 60 5
617 1988 70 1
283 1988 50 1
504 1988 70 4
140 1988 50 3
842 1988 50 1
1164 1988 85 1
543 1988 70 2
1461 1988 40 4
1288 1988 70 2
260 1988 70 2
1264 1988 50 2
364 1988 70 2
1033 1988 50 1
725 1988 50 2
909 1988 15 1
137 1988 60 1
1080 1988 50 4
558 1988 85 1
1003 1988 70 3
302 1988 20 5
1442 1988 60 1
1141 1988 60 2
779 1988 50 1
629 1988 60 1
205 1988 70 2
1308 1988 85 2
972 1988 60 2
1418 1988 50 1
329 1988 50 1
439 1988 70 1
307 1988 85 1
853 1988 60 2
481 1988 50 2
867 1988 60 1
219 1988 60 1
1345 1988 50 1
1021 1988 30 1
17 1988 50 2
512 1988 85 2
1247 1988 50 4
1367 1988 50 1
1010 1988 85 1
759 1988 40 1
1158 1988 70 1
863 1988 15 1
23 1988 50 3
1473 1988 75 1
326 1988 50 1
253 1988 60 1
969 1988 50 1
143 1988 50 3
840 1988 60 1
718 1988 60 1
722 1988 100 1
48 1988 90 4
568 1988 60 2
1028 1988 50 3
1378 1988 70 2
343 1988 70 1
152 1988 40 1
1450 1988 70 1
956 1988 40 4
1368 1988 90 1
1331 1988 60 1
549 1988 60 4
1322 1988 60 2
991 1988 50 1
528 1988 50 4
1120 1988 15 3
1437 1988 30 1
1388 1988 50 3
1055 1988 50 1
158 1988 30 3
207 1988 60 2
352 1988 50 2
1068 1988 30 4
243 1988 50 2
1019 1988 50 2
1376 1988 70 1
1248 1988 40 4
1260 1988 50 5
1038 1988 20 5
963 1988 60 3
689 1988 100 1
226 1988 70 1
1445 1988 60 1
440 1988 50 2
1446 1988 70 3
1173 1988 100 1
200 1988 50 1
1399 1988 40 1
1024 1988 50 1
555 1988 85 3
652 1988 50 4
1031 1988 85 1
666 1988 50 1
101 1988 60 3
1166 1988 85 1
860 1988 60 1
772 1988 50 1
471 1988 70 2
206 1988 70 2
1405 1988 40 1
743 1988 85 1
966 1988 85 1
109 1988 0 2
1078 1988 60 3
1436 1988 70 1
1216 1988 50 1
585 1988 60 1
1062 1988 50 1
1286 1988 50 2
1221 1988 50 1
33 1988 50 5
1349 1988 60 1
100 1988 15 4
218 1988 40 3
1460 1988 70 3
1290 1988 50 2
520 1988 60 3
1107 1988 50 2
1088 1988 70 2
723 1988 85 1
1392 1988 40 3
675 1988 60 2
220 1988 50 1
335 1988 50 1
557 1988 60 4
726 1988 85 1
1410 1988 70 3
1086 1988 70 1
350 1988 50 1
641 1988 50 2
1342 1988 0 1
696 1988 0 4
1093 1988 70 1
1355 1988 50 2
426 1988 75 1
1371 1988 60 3
323 1988 60 4
145 1988 50 2

Identify either your current professional position or a desired position. Consider referring to the provided article for inspiration.

In this module, you will explore how statistics are used in careers that are common for those who earn degrees in psychology. You have learned about the general importance of being able to think statistically throughout the course, but here we will focus on career applications that may be particularly relevant to you and your professional goals. Statistics and statistical thinking are present and required in many professions. Statistics are used to gain valuable insights from data to improve performance and outcomes in many careers. For example, many undergraduates in psychology desire to enter a helping profession (e.g., drug and alcohol counseling, professional counseling, marriage and family therapy, etc.). Of course, all of these professions are required to follow evidence-based practice—which means that data and statistical analysis are required to support therapeutic interventions applied with clients.

 

For this discussion, read the article What Can You Do With a Bachelor’s Degree in Psychology? from the American Psychological Association (https://www.apa.org/ed/precollege/psn/2018/01/bachelors-degree). This discussion will focus on considering how statistics, statistical thinking, or data literacy are important in a career that is common to psychology graduates and that interests you.

For your initial post, address the following:

  • Identify either your current professional position or a desired position. Consider referring to the provided article for inspiration.
  • Describe how statistics, statistical thinking, or data literacy is helpful or required for the position you identified.
  • Explain how you can use the Occupational Outlook Handbook from the U.S. Bureau of Labor Statistics to help you make data-based career decisions.
    • Search the handbook for the job you identified and explore the results.
    • Provide examples of statistics regarding jobs that you find most useful (e.g., earnings, projected growth, etc.).
  • How could statistics, statistical thinking, or data literacy help to address any of the following programmatic course themes in the context of the chosen careers? You may want to review the Programmatic Themes document.
    • Self-care
    • Social justice
    • Emotional intelligence
    • Career connections
    • Ethics
  • If any references or citation can you please provide them I would greatly appreciate it