Predicting dependency level in dyadic friendship
This study aims to (1) investigate the dyadic friendship domain and (2) test it as a predictor of a friendship dependency level. The study was conducted in two stages: Study I and Study 2. Study I explored four friendship domains by using an indigenous psychological approach. Study 2 predicted the d...
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| Format: | Article |
| Language: | English |
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University of Muhammadiyah Malang
2023-01-01
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| Series: | Jurnal Ilmiah Psikologi Terapan |
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| Online Access: | https://ejournal.umm.ac.id/index.php/jipt/article/view/21377/11878 |
| _version_ | 1797391722743857152 |
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| author | Tabah Aris Nurjaman |
| author_facet | Tabah Aris Nurjaman |
| author_sort | Tabah Aris Nurjaman |
| collection | DOAJ |
| description | This study aims to (1) investigate the dyadic friendship domain and (2) test it as a predictor of a friendship dependency level. The study was conducted in two stages: Study I and Study 2. Study I explored four friendship domains by using an indigenous psychological approach. Study 2 predicted the dyadic codependency level based on the finding of Study I by implementing an Artificial Neural Network (ANN) with a Multilayer Perceptron (MLP) model conducted in 25 experiments (5 hidden layers x 5 epochs). Data collection was carried out using five open-ended questions and one closed-ended question in Study I; and the Investment Model Scale adaptation questionnaire (13 items; α = 0.832) in Study 2. Study 1 and Study 2 were conducted at a time on 268 respondents (52 male, 216 female). The finding of Study I showed that friendship starts from: (a) the initial contact, which was based on the proximity factor (48.51%), (b) closeness, which was based on personality factors (36.19%), (c) the most frequent activities carried out together in the form of hanging out (52.61%), and (d) the reason for fear of losing a partner due to personality factors (29.48%). Study 2 revealed that friendship dependency level can be predicted by four friendship domains with an accuracy level of 58.35%, in which the initial contact and joint activity domain was of higher importance than the two others (epoch = 5000; hidden layer = 4 units). The overall findings showed that the dyadic codependency level not only can be calculated after friendships are formed and developed but also can be predicted from the initial stages of a relationship when acquaintanceship occurs. |
| first_indexed | 2024-03-08T23:36:52Z |
| format | Article |
| id | doaj.art-85a7f3a7ca274030b4780245e16bde90 |
| institution | Directory Open Access Journal |
| issn | 2301-8267 2540-8291 |
| language | English |
| last_indexed | 2024-03-08T23:36:52Z |
| publishDate | 2023-01-01 |
| publisher | University of Muhammadiyah Malang |
| record_format | Article |
| series | Jurnal Ilmiah Psikologi Terapan |
| spelling | doaj.art-85a7f3a7ca274030b4780245e16bde902023-12-14T05:31:04ZengUniversity of Muhammadiyah MalangJurnal Ilmiah Psikologi Terapan2301-82672540-82912023-01-01111313810.22219/jipt.v11i1.21377Predicting dependency level in dyadic friendshipTabah Aris Nurjaman0Psychology Study Program, Universitas Teknologi Yogyakarta, IndonesiaThis study aims to (1) investigate the dyadic friendship domain and (2) test it as a predictor of a friendship dependency level. The study was conducted in two stages: Study I and Study 2. Study I explored four friendship domains by using an indigenous psychological approach. Study 2 predicted the dyadic codependency level based on the finding of Study I by implementing an Artificial Neural Network (ANN) with a Multilayer Perceptron (MLP) model conducted in 25 experiments (5 hidden layers x 5 epochs). Data collection was carried out using five open-ended questions and one closed-ended question in Study I; and the Investment Model Scale adaptation questionnaire (13 items; α = 0.832) in Study 2. Study 1 and Study 2 were conducted at a time on 268 respondents (52 male, 216 female). The finding of Study I showed that friendship starts from: (a) the initial contact, which was based on the proximity factor (48.51%), (b) closeness, which was based on personality factors (36.19%), (c) the most frequent activities carried out together in the form of hanging out (52.61%), and (d) the reason for fear of losing a partner due to personality factors (29.48%). Study 2 revealed that friendship dependency level can be predicted by four friendship domains with an accuracy level of 58.35%, in which the initial contact and joint activity domain was of higher importance than the two others (epoch = 5000; hidden layer = 4 units). The overall findings showed that the dyadic codependency level not only can be calculated after friendships are formed and developed but also can be predicted from the initial stages of a relationship when acquaintanceship occurs.https://ejournal.umm.ac.id/index.php/jipt/article/view/21377/11878dependensipertemananartificial neural networkindigenous psychology |
| spellingShingle | Tabah Aris Nurjaman Predicting dependency level in dyadic friendship Jurnal Ilmiah Psikologi Terapan dependensi pertemanan artificial neural network indigenous psychology |
| title | Predicting dependency level in dyadic friendship |
| title_full | Predicting dependency level in dyadic friendship |
| title_fullStr | Predicting dependency level in dyadic friendship |
| title_full_unstemmed | Predicting dependency level in dyadic friendship |
| title_short | Predicting dependency level in dyadic friendship |
| title_sort | predicting dependency level in dyadic friendship |
| topic | dependensi pertemanan artificial neural network indigenous psychology |
| url | https://ejournal.umm.ac.id/index.php/jipt/article/view/21377/11878 |
| work_keys_str_mv | AT tabaharisnurjaman predictingdependencylevelindyadicfriendship |