| 1 |
Author(s):
Odilora Chiamaka, Onyemaechi, C.I., Okonkwo, C.O..
Page No : 1-29
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DEMOGRAPHIC DETERMINANTS OF LONELINESS AMONG OLDER-ADULT PERSONS IN UKPO, ANAMBRA STATE
Abstract
This study investigated the demographic determinants of loneliness among older-adult persons in Ukpo, Anambra State, Nigeria. Two hundred and twenty-six community dwellers (157 females; age: 60-87; mean: 71.39) were recruited for the study. Measure of loneliness were obtained using the Revised University of California, Los Angeles (R-UCLA) Loneliness Scale by Russel et al., (1980). A three-way analysis of covariate (ANCOVA) design was used to examine the impact of gender, education, and occupation on loneliness. Result showed no significant differences for gender; F (1,226) = 1.12, and occupation; F (3,226) = 1.86 on loneliness. Also, age as covariate did not show significant difference; F (1,226) = 2.80. However, there was significant differences for education on loneliness; F (3,226) = 3.28. On the other hand, no significant interactions were seen in gender and occupation; F (3,226) = 0.63, education and occupation; F (8,226) = 1.28 as well as gender, education and occupation; F (7,226) = 1.13. The findings highlight the importance of considering educational factors in addressing loneliness and promoting well-being in this population.
| 2 |
Author(s):
Obumse C. N., Obikeze N. J., Onyemaechi, C.I., Okonkwo C. O..
Page No : 30-43
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FEMINISM-MASCULISM, ORGANIZATIONAL CULTURE AND PAY PERCEPTION AS PREDICTORS OF JOB SATISFACTION AMONG PUBLIC SECTOR WORKERS IN ANAMBRA STATE, NIGERIA
Abstract
The study examined feminism-masculism, organizational culture, and pay perception as predictors of job satisfaction among public employees in Anambra State, Nigeria. A total of 400 participants took part in the study, comprising 276 (61.4%) males and 124 (38.6%) females, aged between 24 and 70 years (mean age = 36.2, SD = 7.09). Convenience sampling was employed to select both participants and organizations. Three instruments were utilized: The Organizational Culture Scale, Pay Perception Questionnaire, and Minnesota Satisfaction Questionnaire.The research employed a cross-sectional and correlational design, utilizing Stepwise Multiple Linear Regression to analyze the data and test the hypotheses. The results indicated that feminism-masculism did not significantly predict job satisfaction, whereas organizational culture and pay perception were significant predictors. Collectively, feminism-masculism, organizational culture, and pay perception predicted job satisfaction. The study recommended the implementation of award programmes within organizational culture to recognize exceptional employee performance, thereby enhancing the atmosphere, work environment, and overall job satisfaction.
| 3 |
Author(s):
Nwobi, O. B., Onyemacechi, C. I, Izuchukwu, C., Onuorah, A, Adaigbe, E, Philip, P.O..
Page No : 44-63
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INTEGRATION OF ARTIFICIAL INTELLIGENCE (AI) IN THE PRACTICE OF CLINICAL PSYCHOLOGY: THE WAY FORWARD IN NIGERIA
Abstract
This study investigates the potential role of Artificial Intelligence (AI) in transforming clinical psychology practices in Nigeria, with a focus on enhancing mental health care delivery. In Nigeria, mental health care faces significant challenges, including a shortage of professionals, limited resources, and access barriers, particularly in underserved regions. AI technologies, including machine learning (ML), natural language processing (NLP), and chatbots, have shown promise in improving diagnostic accuracy, providing therapeutic support, and enabling continuous monitoring of patient data. These tools can assist in the early detection of mental health conditions, personalize treatment plans, and offer remote support, thereby bridging gaps in care delivery. Despite the promising applications, challenges such as AI anxiety, resistance to technological change, and ethical concerns related to data privacy and algorithmic bias remain significant barriers to AI’s successful integration. The study emphasizes the need for culturally sensitive AI tools tailored to Nigeria’s unique social, cultural, and psychological context. It also stresses the importance of fostering trust among both clinicians and patients, addressing fears that AI might replace human judgment. The integration of AI must be supported by capacity-building initiatives, training programs for healthcare professionals, and robust infrastructure to ensure that AI tools can be effectively utilized. Additionally, ethical guidelines must be developed to safeguard patient privacy, ensure algorithmic fairness, and prevent data misuse. AI should be viewed as a complementary tool to enhance human expertise, not as a replacement for it. The study concludes with several recommendations, including continued research on AI’s impact on mental health outcomes, the development of national strategies for AI adoption in healthcare, and the importance of promoting equity and access to AI-driven mental health care. With careful planning and responsible implementation, AI has the potential to revolutionize mental health care in Nigeria, making it more accessible, effective, and equitable.
| 4 |
Author(s):
Nwazuluah, C.A., Nwankwo, O.D., Buchi, C.G..
Page No : 64-85
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PERCEPTION OF RELATIONSHIP DETERIORATION AMONG NIGERIAN YOUTHS: THE PSYCHOLOGICAL APPRAISAL
Abstract
Human beings in general go through life with different kinds of needs - physical, emotional and psychological. Some of these needs require reaching out to others for the satisfaction of such needs. Hence, relationships are part of human existence, and this predisposes people to seek and get into relationships with others. However, the level of relationship deterioration among youths is alarming, hence the need for this study. The study seeks to find out the causes of deteriorating relationship among youths in Nigeria, determine the consequences of deteriorating relationship on youths, investigate the ways of reducing relationship deterioration among youths, examine the various psychological remedies available for unhealthy perception of deteriorating relationship among youths and find out how to help youths already involved in unhealthy relationship. Furthermore, the study was anchored on social exchange theory by George Homans (1958). The researcher adopted both primary and secondary sources of data collection. The primary sources were direct oral interviews and interactions with some of the participants. While the secondary sources of data collection were the print media, journals, books, social media sources and broadcasting media. The study found out that liberation of sex, relationship prophecy and the wrong people seeking for the right people to marry are some of the causes of relationship deterioration among youths. It was recommended that counselling psychologists should educate the youths and improve the quality of romantic relationship which will be used to develop a template to be used when need arises.
| 5 |
Author(s):
Adaigbe, E. B., Onyemaechi, C.I., Izuchukwu, C., Onuorah, A., Nwobi, O. B., Nwankwo, E., Ezechukwu, C, Philip, P.O..
Page No : 86-109
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ARTIFICIAL INTELLIGENCE AND THE PRACTICE OF PSYCHOLOGY IN NIGERIA.
Abstract
This paper explores the relationship between artificial intelligence (AI) and the practice of psychology in Nigeria, focusing on the potential of AI to address the country's mental healthcare challenges and enhance psychological research. Artificial Intelligence (AI) is gradually making its way into psychological practice in Nigeria, offering exciting possibilities and unique challenges. With fewer than 10% of Nigerians having access to adequate mental health services, there is an urgent need for innovative solutions to bridge this gap. AI offers promising opportunities, such as AI-powered Chabot for psychological support, machine learning algorithms for analysing mental health trends, and personalised educational tools to improve learning outcomes. However, the integration of AI into psychology in Nigeria faces significant challenges, including limited technological infrastructure, a lack of AI expertise, and ethical concerns such as data privacy and algorithmic bias. Additionally, the socio-cultural diversity of Nigeria necessitates the development of culturally sensitive AI solutions to ensure their effectiveness and acceptance. This study highlights the transformative potential of AI in psychology, emphasising its ability to revolutionise mental health care, advance psychological research, and improve educational practices. It concludes with recommendations for policymakers, researchers, and practitioners to address existing barriers and create an enabling environment for the ethical and effective use of AI in psychology. By leveraging AI, Nigeria can take significant strides toward improving mental health outcomes and fostering societal well-being.