PSYC4700 2023 January Week 10 Assignment Latest

PSYC4700 Statistics for the Behavioral Sciences

Week 10 Assignment  

Regression

Complete the following problems within the Word document (do not submit other files). Show your work for problem sets that require calculations. Ensure that your answer to each problem is clearly visible. (You may want to highlight your answer or use a different type color to set it apart.)

Submit the document to your instructor by Friday, 11:59 p.m. central time.

Problem Set 10.1: Analysis of Regression in JASP

Criterion: Use JASP to complete an analysis of regression to determine if the variable age is a predictor of the variable life satisfaction.

Data: Use the Satisfaction data set. This data set is a record of responses to a survey which asked participants of various ages to rate their level of life satisfaction on a 1–10 scale, with 1 being “very dissatisfied” and 10 being “completely satisfied”:

Instruction: Complete steps below.

1.            Download Satisfaction data set. Double-click the icon to open the data set in JASP.

2.            In the Toolbar, click Regression. In the menu that appears, under Classical, select Linear regression.

3.            Select Life Satisfaction and then click the upper Arrow to send it over to the Dependent box.

4.            Set Method to “Enter.”

5.            Select Age and then click the Arrow to send it over to the Covariates box.

6.            Under Statistics, select Descriptives, Estimates, and Model Fit and deselect all other boxes.

7.            Copy and paste the output to this Word document.

Problem Set 10.2: Analysis of Regression in Excel

Criterion: Use Excel to complete an analysis of regression.

Data: Use the data from the table below.

Instruction: Complete the following steps.

a.            Open Excel and work in a new sheet.

b.            Enter the data from the table below. Cell A1 will be X. Cell B1 will be Y. Then, enter the data below

Stress Levels

High       Moderate            Low

10           9             9

7             4             4

8             7             6

12           6             5

6             8             7

c.             Cell A1 will be X. Cell B1 will be Y. Then, enter the data below.

d.            Go to the tool bar, click Data Analysis, and select Regression.

e.            Put a check next to Labels and Confidence Level.

f.             In Input Y Range: $B$1:$B$11, In Input X Range: $A$1:$A$11

g.            Select Ok. Your data will appear in a new Sheet to the left.

h.            Copy and paste the output to this document.

Problem Set 10.3: Identify Tests for Ordinal Data

Criterion: Identify tests for ordinal data.

Instruction: Read the following and answer the questions. 

Identify the appropriate nonparametric test for each of the following examples and explain why a nonparametric test is appropriate. 

1.            A researcher measures fear as the time it takes to walk across a presumably scary portion of campus. The times (in seconds) that it took a sample of 12 participants were 8, 12, 15, 13, 12, 10, 6, 10, 9, 15, 50, and 52. ___________________________________

2.            Two groups of participants were given 5 min to complete a puzzle. The participants were told that the puzzle would be easy. In truth, in one group, the puzzle had a solution (Group Solution), and in the second group, the puzzle had no solution (Group No Solution). The researchers measured stress levels and found that frustration levels were low for all participants in Group Solution and for all but a few participants who showed strikingly high levels of stress in Group No Solution. ___________________________________

3.            A researcher measured student scores on an identical assignment to see how well students perform for different types of professors. In Group Adviser, their professor was also their adviser; in Group Major, their professor taught in their major field of study; in Group Nonmajor, their professor did not teach in their major field of study. Student scores were ranked in each class, and the differences in ranks were compared. ___________________________________

4.            A researcher has the same participants rank two types of advertisements for the same product. Differences in ranks for each advertisement were compared. ___________________________________

5.            A professor measures student motivation before, during, and after a statistics course in a given semester. Student motivation was ranked at each time in the semester, and the differences in ranks were compared. ___________________________________