SOCI332 Statistics for Social Science
Week 3  Assignment 1
Assignment 1: Research Guidelines
Complete the following assignment by filling in all pertinent areas of research.  You will need to utilize SPSS for this assignment.  You should complete this assignment using the variables and topic that you have chosen for your Final Portfolio Project.  You will then be able to follow this as a guide as well as a check-point with your instructor.  It is essential that you read through all of the feedback regardless of your score.  You will be required to submit an SPSS output file with this assignment for credit.  However, you must copy and paste all relevant output data into this document for credit.  Throughout the assignment you will see places where your tables, charts, and graphs can be placed.
You may need to go back through the document to address formatting issues that may shift as you begin to input your data.  Points will be deducted for sloppiness.  Please treat this as a professional outline used for a proposal.  Use a different, but legible, color font for your responses.
This assignment is to completed and submitted no later than the Sunday of week 3 by 11:55pm ET.  This assignment is worth 60 points.  Save the word file as follows [your last name_SOCI332_A1] and submit it to the dropbox for feedback.
Note:
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 graded, to attempt a better grade, is not permitted.
Assignment 1: Research Guidelines
Complete the following assignment by filling in all pertinent areas of research.  You will need to utilize SPSS and the GSS dataset for this assignment. You should complete this assignment using the variables and topic that you have chosen for your Final Portfolio Project.  You will then be able to follow this as a guide as well as a check-point with your instructor.  It is essential that you read through all of the feedback regardless of your score.  You will be required to submit:
1.            This word document with blanks filled and SPSS outputs inserted.  Throughout the assignment you will see places where your tables, charts, and graphs can be placed. 
2.            An SPSS output file (spv) with this assignment for credit.
You may need to go back through the document to address formatting issues that may shift as you begin to input your data.  Points will be deducted for sloppiness.  Please treat this as a professional outline used for a proposal.  Use a different, but legible, color font for your responses.
This assignment is to completed and submitted no later than the Sunday of week 3 by 11:55pm ET.  This assignment is worth 60 points.  Save the word file as follows [your last name_SOCI332_A1] and submit it to the dropbox for feedback. Label the SPV file as [your last name_SOCI332_A1output]
(A)          My Purpose (research question) (     /5 pts)
My research question is: __________________________________________________-_____.
I chose this topic because ____________________________________________________________________________________________________________________________________________________________.
(B)          All About GSS 2016 data (     /5 pts) ***Reference Lesson 1 and http://gss.norc.org/faq***
1.            Who are the participants? ___________________________________________________________________________
2.            What population does the sample represent? ___________________________________________________________________________
3.            Who is funding the research? ___________________________________________________
4.            When was the data collected? __________________________________________________
5.            How was the data collected? ___________________________________________________
(C)          Variables (You are expected to have only one dependent variable (DV) and one or two independent variables (IV). (     /10 pts)
My IV(s): if you have multiple IVs, provide information for EACH IV using the format below.
IV Variable name in SPSS: ___________________
IV Question (as asked to the respondent verbatim) __________________________________________
__________________________________________________________________________________________________________________________________________________________________________
IV Answer categories: ___________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________
IV Level of Measurement (nominal, ordinal, interval/ratio): ___________________
My DV: only ONE DV is required for your final portfolio
DV variable name in SPSS:  ______________________________
DV Question (as asked to the respondent verbatim)- __________________________________________
__________________________________________________________________________________________________________________________________________________________________________
DV Answer categories: _____________________________________________________________________
__________________________________________________________________________________________________________________________________________________________________________
DV Level of Measurement (nominal, ordinal, interval/ratio): ¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬__________________________
(D)          Frequency Tables (     /10 pts)
Run frequencies for each variable listed above.  Summarize your findings in a paragraph or two below.  What do the counts and valid percents tell you about each variable? Cite numbers in the frequency tables to support your conclusion. Be sure to insert your tables (copy and paste from SPSS) into this document.
[Insert SPSS frequency tables here]
(E)          Graphs and Charts (     /6 pts)
Run the appropriate graphs/charts for each of your variables listed above.  Summarize your findings briefly in a paragraph or two.  Cite numbers in the graph/charts to support your conclusion. Include a title on each of your charts and other pertinent labels you feel necessary. 
[Insert SPSS graphs/charts here]
(F)          Measures of Central Tendency and Dispersion (     /10 pts)  
Run the measures of central tendency and dispersion for each of your variables. Summarize your findings briefly in a paragraph or two. Which measures are appropriate for nominal, ordinal, or interval/ratio variables? What do these measures tell us about each variable?
[Insert SPSS output here]
(G)         Recoding (     /10 pts)  
Choose one of your variables to recode. If you have an interval/ratio variable, you may recode it into an ordinal variable. If you have two nominal/ordinal variables, recode the one with the most categories into fewer categories.
 [Insert the following items: SPSS syntax for the recoding process; the frequency table for the original variable; and the frequency table for the recoded variable] 
Included SPV file (SPSS output of all syntax tables and charts) – (     /4)
SOCI332 Statistics for Social Science
Week 5 Assignment 2
Assignment 2: Tests of Significance
Throughout this assignment you will review mock studies.  You will need to follow the directions outlined in each section of the attached document using SPSS and decide whether there is significance between the variables.  You will need to list the five steps of hypothesis testing (as covered in the lesson for Week 4) to see how every question should be formatted.  You will complete all of the problems.  Be sure to cut and paste the appropriate SPSS outputs under each problem and interpret the outputs within the context of each mock study. All calculations should be coming from your SPSS. Hand calculation IS not accepted.  You are also required to submit the SPSS output file (.spv) to get credit for this assignment.  This spv. file should include ALL your outputs.  In other words, you are not allowed to submit more than one output file for this assignment.
* Be sure that your answers are clearly distinguishable.  Perhaps you bold your font or use a different color.
 This assignment is due no later than Sunday of Week 5 by 11:55 pm ET.  Save the attached file in the following format: [your last name_SOCI332_A2].  The file must be a word file.
Note:
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 graded, to attempt a better grade, is not permitted.
 
Assignment 2: Tests of Significance
Throughout this assignment you will review six mock studies. Follow the step-by-step instructions:  
a.  Mock Studies 1 – 3 require you to enter data from scratch. You need to create a data set for each of the three mock studies by yourself. (Refresh the data entry skill acquired in Week 1.)
b. Mock Studies 4 – 6 require you to use the GSS 2016 dataset. The variables are specified in each Mock Study.
c. Go through the five steps of hypothesis testing (as covered in the lesson for Week 4) for EVERY mock study. 
d.  All calculations should be coming from your SPSS. You will need to submit the SPSS output file (.spv) to get credit for this assignment. 
The five steps of hypothesis testing when using SPSS are as follows:
1.            State your research hypothesis (H1) and null hypothesis (H0).
2.            Identify your significance level (alpha) at .05 or .01, based on the mock study. In Mock Study One, you are required to use BOTH .05 and .01 to test your hypotheses. For the remaining mock studies, you only need to use ONE level of significance (either .05 or .01) as specified in the instructions.
3.            Conduct your analysis using SPSS.
4.            Look for the valid score for comparison.  This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’ or ‘Asymptotic Sig.’  We will call this “p.”
5.            Compare the two and apply the following rule:
a.            If “p” is < or = alpha, then you reject the null. b.            Please explain what this decision means in regards to this mock study. (Ex: Will you recommend counseling services?) Please make sure your answers are clearly distinguishable.  Perhaps you could bold your font or use a different color. This assignment is due no later than Sunday of Week 5 by 11:55 pm ET.  Save this Word file in the following format: [your last name_SOCI332_A2].  Your spv (SPSS output) file should be labeled [your last name_SOCI332_A2Output]. t-Tests Mock Study 1: t-Test for a Single Sample (20 points) 1.            Researchers are interested in whether depressed people undergoing group therapy will perform a different number of activities of daily living after group therapy than the average for depressed people. The researchers randomly selected 12 depressed clients to undergo a 6-week group therapy program. Use the five steps of hypothesis testing to determine whether the average number of activities of daily living (shown below in the table) obtained after therapy is significantly different from a mean number of activities of 17 that is typical for depressed people. (Clearly list each step). Test the difference at both the .05 and .01 levels of significance. As part of Step 5, indicate whether the behavioral scientists should recommend group therapy for all depressed people based on evaluation of the null hypothesis at both levels of significance (.05 and .01). Data to be entered in SPSS (instructions below) CLIENT  AFTER THERAPY A             18 B             14 C             11 D             25 E              24 F              17 G             14 H             10 I               23 J              11 K             22 L              19 Step 1: Data managing 1. Open a blank SPSS data file: File? New? Data 2. In the blank SPSS data file, create your SPSS data set by entering the number of activities of daily living performed by the depressed clients (numbers listed under AFTER THERAPY - see above) in the Data View window. 3. In the Variable View window, change the variable name to “ADL.” Set the decimals to zero. Step 2: SPSS execution a. Click: Analyze ? Compare Means ? One-Sample T test ? use the arrow to move “ADL” to the Variable(s) window on the right. b. Enter the population mean (17) in “Test Value” c. Click OK. Mock Study 2: t- Test for Dependent Means (15 points) 1.            Researchers are interested in whether depressed people undergoing group therapy will perform a different number of activities of daily living before and after group therapy. The researchers randomly selected 8 depressed clients in a 6-week group therapy program. Use the five steps of hypothesis testing to determine whether the observed differences in the numbers of activities of daily living obtained before and after therapy are statistically significant at .05 level of significance. (Clearly list each step). As part of Step 5, indicate whether the researchers should recommend group therapy for all depressed people based on evaluation of the null hypothesis. Data to be entered in SPSS (instructions below) CLIENT  BEFORE THERAPY             AFTER THERAPY A             11           17 B             7              12 C             10           12 D             13           21 E              9              16 F              8              17 G             13           17 H             12           8 Step 1: Managing data 1. Open a blank SPSS data file: File?New?Data 2. In the blank SPSS data file, create your SPSS data set by entering the number of activities of daily living performed by the depressed clients (see above) in the Data View window. Enter the “before therapy” scores in the first column and the “after therapy” scores in the second column. 3. In the Variable View window, change the variable name for the first variable to “ADLPRE” and the second variable to “ADLPOST.” Set the decimals for both variables to zero. Step 2: SPSS execution a. Click: Analyze ? Compare Means ?Paired-Samples t-Test ? use the arrow to move ADLPRE under “variable 1” inside Paired Variable(s) window? and then use the arrow to move ADLPOST under “variable 2” inside Paired Variable(s) window. b. Click OK. Mock Study 3: t-Test for Independent Samples (15 points) 1.            Six months after an industrial accident, a researcher has been asked to compare the job satisfaction of employees who participated in counseling sessions with those who chose not to participate. The job satisfaction scores for both groups are reported in the table below. Use the five steps of hypothesis testing to determine whether the job satisfaction scores of the group that participated in counseling session are statistically different from the scores of employees who chose not to participate in counseling sessions at .01 level of significance. (Clearly list each step). As part of Step 5, indicate whether the researcher should recommend counseling as a method to improve job satisfaction following industrial accidents based on evaluation of the null hypothesis.  Data to be entered in SPSS (instructions below) PARTICIPATED IN COUNSELING DID NOT PARTICIPATE IN COUNSELING 36           38 39           36 41           36 36           32 37           30 35           39 37           41 39           35 42           33 Step 1: Data managing 1. Open a blank SPSS data file: File? New? Data 2. In the blank SPSS data file, create your SPSS data set by entering the number of activities of daily living performed by those who participated/did not participate in the counseling sessions (reported on previous page). Please create two columns. Column one is the test variable, where you enter ALL the 18 scores in the table. Column 2 is the grouping variable, where you use “1” to indicate if a score is from someone who participated in the counseling sessions; and “0” to indicate if a score is from someone who chose not to participate in the counseling sessions. The data set will look like this in SPSS Data View window: 36    1 49    1 ………. 39    0 36    0 ………. 3. After data entry, go to Variable View window, change the name of the first variable (test variable) to “ADL” and the second variable (grouping variable) as “group.” Set decimals for both variables to zero. Step 2: SPSS execution a.            Click: Analyze? Compare Means?Independent-Samples T Test? use arrow to move ADL to “Test Variable” ? use arrow to move “group” to “Grouping Variable” ?when two (? ?) appear, click Define Groups. On the next pop up window, enter “1” for “Group 1” and “0” to “Group 2.” b.            Click OK. ANOVA (15 points) Mock study 4 1.            An advertising firm has been hired to assess whether different demographics have different rates of TV watching to help determine their advertising strategy. Using the GSS 2016 data, determine whether hours of tv watched differs by race. Use the five steps of hypothesis testing to determine whether the observed differences in the number of hours watching TV across three groups are statistically significant at .05 level of significance. (Clearly list each step). As part of Step 5, indicate whether the advertising firm should target each racial group differently (if their habits differ) based on evaluation of the null hypothesis.  Variables from GSS 2016 dataset to be used (instructions below): RACE – race of respondent 1 = WHITE 2 = BLACK 3 = OTHER TVHOURS – hours per day watching TV Step 1: Data managing 1. Open a blank SPSS data file: File? Open Data? GSS2016.sav (from wherever you have it saved) Step 2: SPSS execution a.            Click: Analyze ? Compare Means ? One-Way ANOVA ? use arrow to move TVHOURS to “Dependent Variable list” ? use arrow to move RACE to “Factor,” which instructs SPSS to conduct the analysis of variance on the number of activities performed by therapy type. b.            Click: Options ? Descriptive (to obtain descriptive statistics). c.             Click: Continue d.            Click: OK. Additional question based on Mock Study 4 2.            Describe the circumstances under which you should use ANOVA instead of t-Tests. Explain why t-Tests are inappropriate in these circumstances. Chi-Square (20 points) Mock study 5-1: Chi-Square Test for Goodness of Fit 1.            Researchers are interested in whether US adults have different levels of confidence in the President (executive branch) of the federal government. Following the five steps of hypothesis testing, conduct “goodness of fit” chi-square test to determine whether the observed frequencies are significantly different from the expected frequencies at the .01 level of significance. (Clearly list each step). As part of Step 5, indicate whether the observed frequency is significantly different from the expected frequency when equal number of adults in each confidence category is assumed (100%/3=33%). What does this mean in regard to this mock study? Variable from GSS 2016 dataset to be used (instructions below): CONFED – confidence in executive branch of federal government 1 = A GREAT DEAL 2 = ONLY SOME 3 = HARDLY ANY Step 1: Data managing 1. Open a blank SPSS data file: File? Open Data? GSS2016.sav (from wherever you have it saved) Step 2: SPSS execution a.            Click: Analyze ? Non-Parametric Tests ? Legacy Dialogs ? Chi-Square ? use the arrow to move CONFED to “Test Variable list.” •             This procedure instructs SPSS that the chi-square for goodness of fit should be performed on the confidence in federal government variable. Note that “All categories equal” is the default selection in the “Expected Values” box, which means that SPSS will conduct the goodness of fit test using equal expected frequencies for each of the four styles, in other words, SPSS will assume that the proportions of students each style are equal. b.            Click OK. Mock study 5-2: Chi-Square Test for Independence 2.            Next, researchers categorized the same group from the previous study based on the level of confidence in the federal government and whether that person is of a certain (self-identified) social class.  These data are presented below. Following the five steps of hypothesis testing, conduct chi-square test for independence at the .05 level of significance.  (Clearly list each step). As part of Step 5, indicate whether social class affects one’s confidence in the President. Variables from GSS 2016 dataset to be used (instructions below): CONFED – confidence in executive branch of federal government 1 = A GREAT DEAL 2 = ONLY SOME 3 = HARDLY ANY CLASS – subjective class identification 1 = LOWER CLASS 2 = WORKING CLASS 3 = MIDDLE CLASS 4 = UPPER CLASS 5 = NO CLASS Step 1: Data managing 1. Continue to work on the data set already opened in Mock Study 5-1: goodness of fit Chi-square test. Step 2: SPSS execution a.            Click: Analyze ? Descriptive Statistics ? Crosstabs ? use arrow to move “CLASS” to “Column(s)”? use arrow to move “CONFED” to “Row(s).” (Recall in crosstab, DV is always in the row and IV is always in the column.) b.            Click: Statistics ? check “Chi-Square.” c.             Click: Continue. d.            Click: Cells? check “Expected.” e.            Click: Continue. f.             Click: OK. Regression (15 points) Mock study 6-1: Linear Regression 1.            Researchers in the field of gerontology are researching the effects of age on mental health. They are using GSS data to gather some preliminary findings. Following the five steps of hypothesis testing, conduct a linear regression analysis to determine whether age affects number of poor mental health days at the .05 level of significance. (Clearly list each step). As part of Step 5, indicate whether there is a significant relationship between age and mental health at the .05 level and what does this mean in regard to this mock study. Should the researchers continue their study? Variables from GSS 2016 dataset to be used (instructions below): AGE – age of respondent MNTLHLTH – Days of poor mental health past 30 days Step 1: Data managing 2. Open a blank SPSS data file: File? Open Data? GSS2016.sav (from wherever you have it saved) Step 2: SPSS execution e.            Click: Analyze ? Regression ? Linear? use arrow to move MNTLHLTH to “Dependent list” ? use arrow to move AGE to “Independent,” which instructs SPSS to conduct the linear regression on the relationship of age to poor mental health. f.             Click: OK. This assignment is due no later than Sunday of Week 5 by 11:55 pm ET.  Save this file (as a Word file) in the following format: [your last name_SOCI332_A2].  You must also submit an SPSS output file (.spv) labeled [your last name_SOCI332_A2Output].   SOCI332 Statistics for Social Science Week 7 Assignment 3 Final Portfolio Assignment (Due Week 7) Overview One of the most crucial components of this course is developing a research project from conceptualizing a research problem and developing a number of measurement and statistical analysis approaches to bring evidence to bear on the problem.  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.  This Assignment meets these course objectives: Describe and apply the concepts and logic of elementary statistics. Conduct statistical analysis in SPSS (Statistical Package for the Social Sciences). Compare and contrast different types of data and the statistics that can be used to analyze them Examine the differences between descriptive and inferential statistics and their use in the social sciences. Form critical interpretations of quantitative research literature in sociology and other social sciences. Complete and interpret descriptive and inferential statistical data analysis Critically evaluate the quality of research design and evidence in published social research. Instructions The Final Portfolio Assignment is where you pull together the research you've been working on the first seven weeks of class.  Using your weekly Forum posts, and the feedback from your classmates and instructor on your posts, construct a 6-8 page paper that fully explores your research topic in a way that provides the context and explanation surrounding the analyses provided in the paper.  Your project should display you understand what you are writing about holistically, not simply going through the motions.  Citing literature about your research topic, be sure to set the stage for the data and analyses that you present.  Briefly describe the General Social Survey as your survey instrument.  Provide the questions, verbatim, that were asked in the survey which became the variable which you chose to use.  You will also need to include the answer choices for each of them.  This portion can be a table if you choose.  Share and explain frequency table(s) an histograms or graphs to describe your data.  Using the statistical tests you ran each week in class (crosstabs, tests of significance, measures of association), present the tests and your findings.  Clearly identify and explain your hypothesis and the five steps of hypothesis testing as they apply to your paper. Explain the results of the statistical tests and pull in some literature to provide context, demonstrating how your results and research fit into the larger body of literature on this topic.  Be sure to use proper APA formatting for citations and references. However, you do not need to include an abstract or table of contents.  You can find guidance in APA by clicking here to access the Purdue Online Writing Lab. Because the project is a formal, you should include a title page and reference page. You may organize the paper based on the following headings: Introduction - Introduce the topic based in current literature (briefly - show why it is important to study). Discuss why you chose the topic and what the purpose of the paper is. Give a brief overview of what you will cover. Literature Review - Review 3-4 peer-reviewed sources that provide a background on your topic. These sources don't have to specifically address the relationship between your IV and DV, but should address the topic and be somewhat related to your variables. Methods - Briefly discuss the GSS (information you included in Assignment 1) as your data source. Identify and describe your specific variables, including the name, question, and responses (categories). You may state your hypothesis here, but do not go through the hypothesis testing steps until the next section. Findings - Begin with a discussion of each variable individually, utilizing your frequency tables and charts/graphs. Then discuss your other analyses in logical order. Crosstabs are your first look at a potential relationship. Next, discuss the steps of hypothesis testing. Include the table of your significance test. Last, discuss the strength and direction of the relationship using measures of association. Discussion - Discussion what you learned from the various analyses and draw any conclusions you found. Talk about any further research you think may be needed on your topic. Note: 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 graded, to attempt a better grade, is not permitted. Grading Rubric View the grading rubric so you understand how you will be assessed on this Assignment.