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Mastering SPSS: Unwinding Insights into Educational and Family Influences on Income

Embark on a data-driven journey as we delve into SPSS proficiency, unraveling the intricate connections between education, family dynamics, and income. From exploring educational attainment's impact on earnings to deciphering the nuanced relationship between the number of children and women's income, this analysis equips you with valuable insights using the powerful SPSS tool. Discover the art and science of leveraging SPSS to unravel socioeconomic complexities.

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  2. Unlocking Education and Family Socioeconomic Patterns with SPSS

Problem Description:

In this SPSS assignment, Investigate the relationship between individuals' educational attainment and their income using data from the National Survey of Families and Households (nsfh1a.sav).

1. Analyzing Education and Income Trends

  • Task: Use SPSS to calculate average income based on the number of years of school completed.
  • Pattern Observation: As education levels increase, average wages rise, indicating a positive linear relationship. The number of observations peaks between 1 to 12 years of education.

Report

Income 1 Wage and Salary Earnings Last Year

red1 Yearsof Education
Completed		 Mean N Std . Deviation
0 23206.41 34 7268.753
1 23372.44 17 6259.212
2 22546.3 25 6217.686
3 23133.42 51 9568.532
4 23736.34 59 8886.656
5 23857.76 82 8673.647
6 25367.58 232 10867.55
7 27173.15 212 18440.19
8 26166.54 539 15259.48
9 27361.85 358 11927.52
10 27700.99 472 14102.73
11 31244.27 571 17869.5
12 35778.32 4470 19561.59
13 40563.93 1149 23326.03
14 40498.76 783 25702.58
15 38153.25 684 21068.69
16 52743.28 1130 37354.38
17 50030.97 335 29435.17
18 71268.04 254 69745.98
19 59020.35 272 30648.77
20 97429.29 170 78691.5
Total 39007.56 11898 28619.73

Diagram 1: A summary report for income wage and salary earnings

2. Regression Analysis

Task: Run a regression of income on education.

Key Findings:

  • Interpretation of Intercept: With zero years of education, average earnings are -$1,135.85.
  • Interpretation of Beta Coefficient: Each additional year of education results in an increase of $3,206.04 in average earnings.

3. Predictive Table

Years of School Predicted Average Earnings
8 24512.47
10 30924.55
12 37336.63
14 43748.71
16 50160.79
18 56572.87
20 62984.95

Table 1: Predictive table

Assignment 2: Impact of Children on Women's Income

Problem Description:

Explore the relationship between the number of children women have and their income, focusing on the variables NUMBERCH and INCOME1.

Filtering Women for Analysis

  • Task: Use SPSS code to select women-only for further analysis.
  • Validation: Verify the filter by re-running the frequency of FEMALE.

Analyzing Children and Women's Income

  • Task: Calculate women's average income based on the number of children they have.
  • Pattern Observation: As the number of children increases, the number of observations decreases, and average income tends to decrease.

Regression Analysis

Task: Run a regression of women's income on the number of children.

Key Findings:

  • Interpretation of Intercept: With zero children, average earnings are $33,535.30.
  • Interpretation of Beta Coefficient: Each additional child results in a decrease of $1,317.41 in average earnings.

Women's Income Table

Women's Number of Children Income
0 -1135.85
1 2070.19
2 5276.23
3 8482.27
4 11688.31
5 14894.35
6 18100.39
7 21306.43
8 24512.47
9 27718.51
10 30924.55

Table 2: Women’s number of children vs. income

These summaries provide a clear and organized presentation of your findings from the data analysis.