Faturochman
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Leadership, psychological climate, and group decision-making performance Moordiningsih; Faturochman
Insight: Jurnal Ilmiah Psikologi Vol. 25 No. 2 (2023): AUGUST 2023
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/psikologi.v25i2.3370

Abstract

The psychological climate that occurs in a group becomes an important external factor that influences the success of the group's performance. The dimensions of the group's psychological climate include: (1) the leader’s caring; (2) cohesivity; (3) autonomy; and (4) pressure. This study purposes to examine the influence of the group's psychological climate, especially the leader's caring dimension, which can be interpreted as a form of leadership on group performance. This research was conducted with experiments to empirically test the influence of psychological climate on the group decision-making performance. The experimental design used was a post-treatment measurement design with a (2 x 2 x 2 factorial design which consisted of three independent variables with two levels:  leadership: (caring vs uncaring),; autonomy:(autonomous vs non-autonomous),; and pressure: (without time pressure vs with time pressure) using random assignment in group division. The results revealed that the interaction effect of group psychological climate had an effect of 10.3% (F = 3.126; p <0.05; ç2 = 0.103) on group decision-making performance. The influence of the leader's climate, which could also mean the process of leadership in the group gave an effect of 36.7% (F = 15.771; p < 0.01; ç2 = 0.367). on group decision-making performance. This indicated that the group performance was determined more by internal factors within the group, which were the psychological climates of the group, than external factors
Pemodelan Persamaan Struktural: Suatu Pengantar Faturochman
ANIMA Indonesian Psychological Journal Vol 21 No 4 (2006): ANIMA Indonesian Psychological Journal (Vol. 21, No. 4, 2006)
Publisher : Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/aipj.v21i4.4380

Abstract

The need for sophisticated psychological dataanalysis has been fulfilled by structural equation modeling which grows recently. Stuctural equation modeling enables to test validity of variables and, at the same time, the relations among variables as identified in a model. Not only analysis result applying structural equation modeling can test goodness of fit of the model but also parameters within the model. As an analysis tool,structural equation modeling requeires strong theoretical model before testing it. However, having the result of applying structural equation modeling researchers can easily identify many indicators that will be used to modify the model if needed. Perkembangan analisis data statistik dalam ilmu psikologi terus berkembang selaras dengan kebutuhan. Pemodelan persamaan struktural merupakan jawaban atas kebutuhan tersebut. Salah satu keunggulan yang mencolok dari pemodelan persamaan struktural adalah kemampuannya mengintegrasikan pengujian konstrak variabel dan hubungan antar-variabel secara bersamaan. Dengan menggunakan pemodelan persamaan struktural dapat diuji model secara keseluruhan, hubungan antar-variabel, maupun konstrak variabel di dalam model. Struktur model teoretis yang disusun dan diuji dalam pemodelan persamaan struktural akan memberikan gambaran hasil yang transparan dan akuntabel sehingga memudahkan para peneliti untuk mengaji kembali model yang telah teruji. Meskipun pemodelan persamaan struktural merupakan teknik analisis, penggunaannya menuntut landasan teori yang kuat, baik dari sisi konstrak variabelnya maupun hubungan antar-variabelnya.