Job Satisfaction (X) Longevity (Y) Low High Totals Low 25 9 34 High 28 31 59 Totals 53 40 93 Gamma = + 0.5093 B. College Job Satisfaction (X) Longevity (Y) High Totals Low Low 20 21 41 High 16 72 88 Totals 36 93 129 Gamma 0.6216 same, stronger, mixed, weaker Compared with the kiyarjate table, the partial tables show intervening, fallacious, direct, interactive- in further analysis. relationship between X and Y. This is evidence of relationship between the variables and implies that you should the variable z (level of education) modify, elaborate, incorporate, disregard intervening, interacive, Since you found direct, fallacious relationship between X and Y, you can proceed to calculate the partial gamma Gp. Follow and complete the steps that follow to calculate Gp:

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The image contains two contingency tables related to job satisfaction and longevity, with separate data for "A. High School" and "B. College" levels of education. The tables are used to analyze the relationship between job satisfaction (X) and longevity (Y) at different levels of education (Z).

### Contingency Tables:

#### A. High School

- **Longevity (Y): Low**
  - Job Satisfaction (X): Low = 25
  - Job Satisfaction (X): High = 9
  - Totals = 34

- **Longevity (Y): High**
  - Job Satisfaction (X): Low = 28
  - Job Satisfaction (X): High = 31
  - Totals = 59

- **Overall Totals**
  - Low = 53
  - High = 40
  - Total = 93

- **Gamma**
  - Value: \( + 0.5093 \)

#### B. College

- **Longevity (Y): Low**
  - Job Satisfaction (X): Low = 20
  - Job Satisfaction (X): High = 21
  - Totals = 41

- **Longevity (Y): High**
  - Job Satisfaction (X): Low = 16
  - Job Satisfaction (X): High = 72
  - Totals = 88

- **Overall Totals**
  - Low = 36
  - High = 93
  - Total = 129

- **Gamma**
  - Value: \( + 0.6216 \)

### Analysis:

- Compared to the bivariate table, the partial tables illustrate a **selectable** relationship between X and Y. This is evidence of a **selectable** relationship between the variables and suggests whether to **selectable** the variable Z (level of education) during further analysis.

- Since you've identified a **selectable** relationship between X and Y, you can proceed to calculate the partial gamma \( G_{p.} \). Follow and complete the steps provided for this calculation.
Transcribed Image Text:The image contains two contingency tables related to job satisfaction and longevity, with separate data for "A. High School" and "B. College" levels of education. The tables are used to analyze the relationship between job satisfaction (X) and longevity (Y) at different levels of education (Z). ### Contingency Tables: #### A. High School - **Longevity (Y): Low** - Job Satisfaction (X): Low = 25 - Job Satisfaction (X): High = 9 - Totals = 34 - **Longevity (Y): High** - Job Satisfaction (X): Low = 28 - Job Satisfaction (X): High = 31 - Totals = 59 - **Overall Totals** - Low = 53 - High = 40 - Total = 93 - **Gamma** - Value: \( + 0.5093 \) #### B. College - **Longevity (Y): Low** - Job Satisfaction (X): Low = 20 - Job Satisfaction (X): High = 21 - Totals = 41 - **Longevity (Y): High** - Job Satisfaction (X): Low = 16 - Job Satisfaction (X): High = 72 - Totals = 88 - **Overall Totals** - Low = 36 - High = 93 - Total = 129 - **Gamma** - Value: \( + 0.6216 \) ### Analysis: - Compared to the bivariate table, the partial tables illustrate a **selectable** relationship between X and Y. This is evidence of a **selectable** relationship between the variables and suggests whether to **selectable** the variable Z (level of education) during further analysis. - Since you've identified a **selectable** relationship between X and Y, you can proceed to calculate the partial gamma \( G_{p.} \). Follow and complete the steps provided for this calculation.
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