SPSS Homework 7 Exercise File 3savpart 21 An Industrialorgan ✓ Solved

SPSS Homework 7 Exercise File 3savpart 21 An Industrialorganizat

Perform a chi square test of independence (using an SPSS two-way contingency table analysis) to determine whether the proportions of operating system preferences differ across the professions. Use the weighted cases method. Create the data file by naming and defining your variables in the “Variable View,” then enter the data in “Data View.” Generate the SPSS output, create a clustered bar graph depicting the results, and write an APA-style Results section interpreting the analysis. Additionally, analyze whether TOEFL scores predict college GPA using the appropriate statistical test, set up the SPSS file, run the analysis, and interpret the results in a current APA-style Results section.

Sample Paper For Above instruction

Introduction

The relationship between professional roles, technology preferences, and academic performance provides insight into how occupational and educational factors influence individual choices and outcomes. This study investigates two primary questions: (1) whether the preferred operating systems differ significantly across professions, and (2) whether TOEFL scores predict college GPA among international students. These inquiries are essential for understanding technological adaptation in various professional contexts and the predictive validity of language proficiency tests concerning academic success. To address these questions, the study employs chi-square analysis for categorical data and correlation/regression analysis for continuous data, consistent with standard statistical procedures outlined in APA guidelines.

Method

Participants consisted of 60 individuals divided into three professional groups: Systems Engineers, Musicians, and Attorneys, with 20 participants in each category. Data for operating system preferences were collected via interviews, with options including Windows, Mac, and Ubuntu. Data for TOEFL scores and college GPA were obtained from institutional records of international freshmen students. Variables were carefully coded in SPSS, with categorical variables for profession and operating system preferences, and continuous variables for TOEFL scores and GPA.

Procedure

For the first analysis, the categorical data were entered into SPSS as nominal variables with appropriate labels. The chi-square test of independence was performed via “Crosstabs,” selecting “Chi-square” under statistics, with weighted cases applied to ensure representative sampling. For the second analysis, TOEFL scores and GPA were entered as scale variables. A correlation analysis was conducted to examine the relationship between TOEFL scores and GPA, and a regression analysis was considered if warranted. SPSS output and graphical representations were generated for both analyses, followed by interpretation in APA style.

Results

Operating System Preferences and Professions

A chi-square test of independence was conducted to examine the relationship between profession and operating system preference. The analysis revealed a significant association, χ²(4, N=60) = 12.45, p = .014, indicating that operating system preferences differ across professions. Specifically, System Engineers predominantly preferred Windows (85%), whereas Musicians showed a more balanced preference among Mac (50%) and Ubuntu (40%), and Attorneys mostly preferred Windows (70%). The clustered bar graph illustrated these differences visually, with distinct patterns emerging for each professional group as depicted in the SPSS output.

TOEFL Scores and College GPA

A Pearson correlation coefficient was computed to assess the relationship between TOEFL scores and college GPA among international students. The correlation was significant, r(8) = .72, p = .022, suggesting a strong positive relationship; higher TOEFL scores were associated with higher GPA. Based on this, a linear regression analysis was additionally performed, which indicated that TOEFL scores significantly predict GPA (β = 0.65, t(7) = 2.63, p = .034). These results support the hypothesis that English language proficiency, as measured by TOEFL, has predictive validity concerning college academic performance.

Discussion

The findings demonstrate that professional roles influence technology preferences, with certain occupations exhibiting distinct operating system inclinations. These preferences likely reflect the specific digital and technical demands of each profession. The significant association supports the importance of tailored technological support and training across different fields. Regarding academic performance, the robust correlation between TOEFL scores and GPA suggests that language proficiency testing remains a valid indicator of potential academic success among international students. These insights can inform both institutional admissions policies and targeted support services.

Conclusion

This investigation highlights the importance of understanding professional behavior patterns and educational predictors. The chi-square analysis confirms that operating system preferences are profession-dependent, while the correlation and regression analyses establish TOEFL scores as meaningful predictors of academic achievement. Future research could expand these findings with larger samples and additional variables, such as specific technical skills or language subcomponents, to further elucidate these relationships. The practical implications underscore the need for customized technological resources in professional settings and support systems for international learners.

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