gender ses hourstv readingscore 1 1 4.5 30 1 1 1.05 29 1 1 3.8 21 1
Question:
gender | ses | hourstv | readingscore | |
1 | 1 | 4.5 | 30 | |
1 | 1 | 1.05 | 29 | |
1 | 1 | 3.8 | 21 | |
1 | 1 | 4.3 | 12 | |
1 | 1 | 4.55 | 8 | |
2 | 1 | 4.5 | 30 | |
2 | 1 | 1.05 | 29 | |
2 | 1 | 3.8 | 21 | |
2 | 1 | 4.3 | 12 | |
2 | 1 | 4.55 | 8 | |
1 | 2 | 3.3 | 31 | |
1 | 2 | 3.8 | 20 | |
1 | 2 | 5.05 | 29 | |
1 | 2 | 3.3 | 18 | |
1 | 2 | 5.55 | 31 | |
2 | 2 | 4.55 | 20 | |
2 | 2 | 3.55 | 41 | |
2 | 2 | 3.3 | 44 | |
2 | 2 | 4.3 | 50 | |
2 | 2 | 3.8 | 37 | |
1 | 3 | 3.05 | 21 | |
1 | 3 | 0.65 | 40 | |
1 | 3 | 4.55 | 31 | |
1 | 3 | 5.55 | 47 | |
1 | 3 | 1.55 | 51 | |
2 | 3 | 1.05 | 37 | |
2 | 3 | 3.55 | 44 | |
2 | 3 | 2.05 | 47 | |
2 | 3 | 2.8 | 39 | |
2 | 3 | 1.8 | 30 | |
NOTES:
The data spreadsheet has three tabs with data, one for each exercise. When required, you will add answers to your output by inserting 'New Text' into your SPSS output. (EX: RA1.2.a: [type answer] You will 'Add Content' at the end of the assessment by attaching the following: A single pdf file of your cleaned up and appropriately labeled output. Add a heading to include [your last name] RA 1 (ex: Hinerman RA1). Add a footer to include the page number. Labels should include the name of the exercise (ex: RA1.1) in both the content index (left side) and the body of the output. The file should be named: RA1_[your last name] (ex: RA1_Hinerman) The single .spv file from your cleaned up output described above. Your .sav files used to run your analysis. All files should be named as follows: RA1.[exercise]_[your last name] (ex: RA1.1_Hinerman)
RA1.2:
A researcher collected data on the reading performance and number of hours of television watched per day of 30 children. The gender and socioeconomic status (SES) of each participant were also collected. The data file contains the variables gender, ses, hourstv, and readingscores. For gender 1 = "male", and 2 = "female." For ses, 1 = "low," 2 = "middle," and 3 = "high." The reading scores are on a 0-50 scale with higher scores indicating better reading performance. Open the data file in SPSS and perform the appropriate analyses to answer the questions below.
RA1.2a: Create value labels for gender and ses. RA1.2b: Report the frequencies for gender and ses. RA1.2c: Report the mean and standard deviation for hourstv and readingscores for the entire sample. RA1.2d: Report the mean and standard deviation for hourstv and readingscores separately for males and females. RA1.2d1: Which group has the highest mean on each variable? RA1.2d2: Which group has the largest standard deviation? RA1.2e: Report the mean and standard deviation for hourstv and readingscores for gender layered by ses. RA1.2e1: Which group watches the most television on average? RA1.2e2: Which group has the highest mean reading scores?