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All Journal Journal of Education and Counseling (JECO) OPTIMA: Journal of Guidance and Counseling
Suherman, Annisa Fitria
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Humanities Education Languange, Linguistic, Communication & Media Public Health

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Interpersonal Trust Relationship With College Students' Marriage Readiness Suherman, Annisa Fitria; Ramdhani, Rina Nurhudi
Journal of Education and Counseling (JECO) Vol. 5 No. 1 (2024)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/jeco.v5i1.979

Abstract

This study aims to investigate the description of interpersonal trust and marriage readiness in college students. The method used in this research is a case study with questionnaire and interview techniques to obtain in-depth understanding. This research seeks to answer the research question, namely how the level of interpersonal trust influences marriage readiness in students. The aim is to understand the relationship between interpersonal trust in shaping marriage readiness among students. Apart from that, it also serves as a guide in developing guidance and counseling programs to increase marriage readiness among students. The results of the analysis show that the average student has a high level of interpersonal trust and marriage readiness.
INTERPERSONAL TRUST RELATIONSHIP WITH COLLEGE STUDENTS' MARRIAGE READINESS Suherman, Annisa Fitria; LN, Syamsu Yusuf
Journal of Education and Counseling (JECO) Vol. 4 No. 2 (2024)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to investigate the description of interpersonal trust and marriage readiness in college students. The method used in this research is a case study with questionnaire and interview techniques to obtain in-depth understanding. This research seeks to answer the research question, namely how the level of interpersonal trust influences marriage readiness in students. The aim is to understand the relationship between interpersonal trust in shaping marriage readiness among students. Apart from that, it also serves as a guide in developing guidance and counseling programs to increase marriage readiness among students. The results of the analysis show that the average student has a high level of interpersonal trust and marriage readiness.
A COMPARATIVE ANALYSIS OF SPEARMAN AND PEARSON CORRELATION USING SPSS Suherman, Annisa Fitria; Lisnaeni, Pritha Pradia; Izqiatullailiyah, Siti Aenul; Herlinawati, Triwandari; Ahman, Ahman
OPTIMA: Journal Of Guidance and Counseling Vol 5, No 1 (2025)
Publisher : Universitas Pendidikan Indonesia

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Abstract

Correlation is one of the statistical methods used to measure the relationship between two variables. Two commonly used types of correlation are Spearman Correlation and Pearson Correlation. Spearman Correlation is used for ordinal data or data that do not meet the assumption of normality, while Pearson Correlation is applied to interval or ratio data that follow a normal distribution. This study aims to compare the results of analyses using these two correlation methods through the SPSS software. By analyzing both simulated and real-world data, tests were conducted on various data scenarios, including variations in data types, distribution patterns, and levels of variable relationships. The results indicate that Pearson Correlation is more sensitive to normally distributed data, whereas Spearman Correlation provides more stable results for non-normally distributed data or data containing outliers. This article also presents a step-by-step guide for using SPSS to perform analyses with both correlation methods, making it easier for readers, especially students and researchers, to apply the appropriate method based on their data characteristics. By understanding the differences and advantages of each method, users are expected to choose the right approach for correlation analysis. 
Co-Authors Ahman Ahman, Ahman Herlinawati, Triwandari Izqiatullailiyah, Siti Aenul Lisnaeni, Pritha Pradia Rina Nurhudi Ramdhani, Rina Nurhudi Yusuf LN, Syamsu