Score Statistics Research Articles

Validity of the new 'Top End Sleepiness Scale' against the STOP-Bang tool in predicting obstructive sleep apnoea among Indigenous Australian adults.

The validity of the newly developed sleepiness assessment tool, the 'Top End Sleepiness Scale' (TESS), against other established obstructive sleep apnoea (OSA) screening tools has not been evaluated. To compare the utility and validity of the culturally safe and clinically relevant subjective daytime sleepiness assessment tool, the 'TESS' was used among Indigenous Australians against STOP-Bang screening tool for predicting OSA in a regional and remote Indigenous Australian cohort. The TESS questionnaire, consisting of pictorial representations of six items representing daily activities that would induce daytime sleepiness specific for Indigenous Australians, was assessed for its correlation in predicting moderate to severe OSA according to Apnoea-Hypopnoea Index (AHI, ≥15) against the STOP-Bang screening tool. Eighty Indigenous Australian patients (51% male; mean age 45.1 ± 11.5 years) were included in this study with the majority (n = 70; 88%) having OSA, of which 65 (93%) had an AHI ≥ 15. Area under the curve statistics for overall scores showed no significant difference between TESS or STOP-Bang in the prediction of OSA (P = 0.16). A moderate risk score of TESS (≥3) was superior to STOP-Bang (score 3-4) in sensitivity (84% vs 33%) and specificity (39% vs 30%). The sensitivity for a high-risk score for the STOP-Bang (≥5) was superior to the TESS (≥8; 60% vs 33%), although specificity was comparable (83% vs 91% respectively). The TESS screening tool could be a useful standalone or could be adopted alongside the STOP-Bang OSA screening tools in the clinical assessment of sleep disorders among Indigenous Australians.

Intestinal parasite infection in the Augustinian friars and general population of medieval Cambridge, UK

ObjectiveTo investigate how lifestyle may have impacted the risk of contracting intestinal parasites in medieval England . Regular clergy (such as those living in monasteries) and the lay population form interesting groups for comparison as diet and lifestyle varied significantly. Monasteries were built with latrine blocks and hand washing facilities, unlike houses of the poor. MaterialsSediment samples from the pelvis, along with control samples from feet and skull, of 19 burials of Augustinian Friars (13th-16th century), and 25 burials from All Saints by the Castle parish cemetery (10th-14th century), Cambridge. MethodsWe analysed the sediment using micro-sieving and digital light microscopy to identify the eggs of intestinal parasites. ResultsParasite prevalence (roundworm and whipworm) in the Augustinian friars was 58%, and in the All Saints by the Castle parishioners just 32% (Barnards Test score statistic 1.7176, p-value 0.092). ConclusionsIt is interesting that the friars had nearly double the infection rate of parasites spread by poor hygiene, compared with the general population. We consider options that might explain this difference, and discuss descriptions and treatment of intestinal worms in medical texts circulating in Cambridge during the medieval period. SignificanceThis is the first study to compare prevalence of parasite infection between groups with different socioeconomic status from the same location. LimitationsQuality of egg preservation was suboptimal, so our data may under-represent the true prevalence. Suggestions for further researchLarger studies with greater statistical power, covering different time periods and regions.

Development and evaluation of the feasibility, validity, and reliability of a screening tool for determining distress and supportive care needs of adolescents and young adults with cancer in Japan.

This study aims to (i) develop a screening tool for determining distress and supportive care needs of adolescent and young adult cancer patients (AYAs) based on the NCCN's Distress Thermometer and Problem List (DTPL), (ii) evaluate its feasibility, discriminant validity, and test-retest reliability in clinical settings, and (iii) report prevalence of distress and unmet needs. In the development phase, after translation of the Japanese version of the DTPL (DTPL-J) from English into Japanese and back translation, cognitive debriefing was performed. Items in the problem list were modified to better reflect AYAs' concerns after interviews. The modified items were reviewed and accepted unanimously by healthcare professionals. In the feasibility phase, the DTPL-J for AYAs was used in a clinical setting for 3 months. Descriptive statistics of participants' demographics, selected items, and DT scores were calculated to report prevalence of distress and unmet needs. Response and referral rates to experts were assessed to evaluate feasibility. Some items were compared with patient demographics to assess discriminant validity. Among the patients who responded at least twice, correlations between two consecutive screenings were assessed to evaluate test-retest reliability. The DTPL-J consisted of 49 items in five categories. Of 251 patients, 232 (92.4%) were provided the DTPL-J and 230 (91.6%) responded. Based on the DT cutoff of ≥4, 69 of 230 patients (30%) had high distress. Anxiety (n = 85, 36.6%) was the most commonly selected item. Primary nurses referred 45 (21.7%) patients to an attending physician or another expert. Referral rates after DTPL-J use were higher than rates before use, but the difference was not statistically significant (p = 0.06). The items compared were consistent with their social background. A positive correlation was observed between two responses for some items. The feasibility, discriminant validity, and test-retest reliability of the tool were suggested.

A Quantitative Subarachnoid Hemorrhage Grading System, Including Supratentorial and Infratentorial Cisterns, With Multiplanar Computed Tomography Reformations.

BackgroundSubarachnoid hemorrhage (SAH) grading scales typically evaluate a limited number of cisterns on the axial plane. The goal of our study is to apply a simple quantitative yet comprehensive SAH grading scale to all major intracranial cisterns, including the infratentorial cisterns, with multiplanar computed tomography (CT) reformations.MethodologyWe performed a retrospective review of 94 consecutive cases of spontaneous SAH presenting within 72 hours of onset. SAH was categorized into five grades based on the short-axis thickness of SAH in 20 intracranial cisterns measured on the axial, coronal, and sagittal planes. Statistical analysis was performed for inter-rater agreement with kappa statistics, for inter-plane agreement by Spearman correlation statistics, and for inter-rater and inter-plane agreement by Pearson correlation statistics.ResultsThe extended kappa coefficient for the three reviewers across all 20 cisterns varied from 0.38 (0.27, 0.50) to 0.59 (0.52, 0.65) on the axial plane. The kappa coefficient for two reviewers varied from 0.46 (0.33, 0.59) to 0.70 (0.60, 0.80) on the coronal plane and from 0.35 (0.20, 0.49) to 0.87 (0.77, 0.96) on the sagittal plane. The average grade of cisterns per case demonstrated mostly excellent correlation between the imaging planes with Spearman correlation statistics (≥0.70). Pairwise concordance correlation coefficient of the total SAH score revealed agreement ranging from 0.81 to 0.90 in all three planes. Pearson correlation statistics of the average total SAH scores revealed excellent correlation among the three planes (≥0.91).ConclusionA simple quantitative SAH grading scale can be successfully applied to the supratentorial and infratentorial cisterns in three standard CT imaging planes.

The Predictiveness of Mothers’ Emotion Socialization Behaviours on the Attachment Levels of 6 Year-Old Children

This study aims to analyse the predictiveness of the emotion socialization behaviours of the mothers of 6-year-old children on the children’s attachment levels. The study group of this descriptive research designed with the screening model, one of the quantitative research methods, included 143 pairs of mothers and 60- to 72-month-old normally-developing children attending two kindergartens affiliated with the İstanbul Başakşehir Directorate of National Education during the 2019-2020 academic term. The data collection instruments used in the study were the parent form designed by the authors to collect sociodemographic data from the children and families who participated in the study, the Incomplete Doll Family Story Scale (IDFSS), which was used to determine the children's levels of attachment, and the Coping With Children's Negative Emotions Scale (CCNES). Calculation of descriptive statistics of scores for the Incomplete Doll Family History scale and the Dealing with Children's Negative Emotions scale. The model formed at the end of the multiple linear regression analysis shows that mothers’ emotion socialization behaviours accounted for 57% of the variance related to the children’s attachment level.

MicrobiomeGWAS: A Tool for Identifying Host Genetic Variants Associated with Microbiome Composition

The microbiome is the collection of all microbial genes and can be investigated by sequencing highly variable regions of 16S ribosomal RNA (rRNA) genes. Evidence suggests that environmental factors and host genetics may interact to impact human microbiome composition. Identifying host genetic variants associated with human microbiome composition not only provides clues for characterizing microbiome variation but also helps to elucidate biological mechanisms of genetic associations, prioritize genetic variants, and improve genetic risk prediction. Since a microbiota functions as a community, it is best characterized by β diversity; that is, a pairwise distance matrix. We develop a statistical framework and a computationally efficient software package, microbiomeGWAS, for identifying host genetic variants associated with microbiome β diversity with or without interacting with an environmental factor. We show that the score statistics have positive skewness and kurtosis due to the dependent nature of the pairwise data, which makes p-value approximations based on asymptotic distributions unacceptably liberal. By correcting for skewness and kurtosis, we develop accurate p-value approximations, whose accuracy was verified by extensive simulations. We exemplify our methods by analyzing a set of 147 genotyped subjects with 16S rRNA microbiome profiles from non-malignant lung tissues. Correcting for skewness and kurtosis eliminated the dramatic deviation in the quantile–quantile plots. We provided preliminary evidence that six established lung cancer risk SNPs were collectively associated with microbiome composition for both unweighted (p = 0.0032) and weighted (p = 0.011) UniFrac distance matrices. In summary, our methods will facilitate analyzing large-scale genome-wide association studies of the human microbiome.

The Impact of Artificial Intelligence and Blockchain Technology on the Development of Modern Educational Technology

In order to solve the problem of adding artificial intelligence and blockchain technology to education, the purpose of meeting the needs of combining artificial intelligence and blockchain technology with modern education is to make up for the lack of artificial intelligence in modern education, improve students’ interest in learning, and cultivate high-quality students. Through practice and analysis in a chemistry class in an experimental school, samples were taken from 821 students in the third grade parallel class, and 39 teachers taught students in accordance with their aptitude; finally, from the average score statistics of the first and second inspections, it can be seen that the intelligent classroom teaching of chemistry has a certain effect on improving the average score of students in parallel classes in grade three.

Gender Variables and Management of Human Resources among Public Secondary School Principals in Delta State, Nigeria

This research principally examined gender variables and human resources management among male and female public secondary school principals in Delta State, Nigeria. The study was based on descriptive survey method which adopted the ex-post facto design. The population comprise 9361 teachers drawn from the 466 public secondary schools in Delta State. 936 teachers, representing 10% of the teachers, was the sample size using stratified random sampling technique with consideration to local government areas and senatorial districts in Delta State. The main instrument used, was a self, constructed questionnaire titled “gender variables and secondary school principals’ human resources management questionnaire (GVSSPHRMQ). The face and content validity was ascertained. The researchers employed the services of four well instructed field assistants to facilitate the process of data distribution and retrieval. Out of the 936 questionnaire administered, 934 were returned correctly filled. The data were analysed using descriptive statistics of mean scores and standard deviation for the research questions, while the t-test statistical tool was used to test the stated hypotheses at 0.05 level of significance. The acceptance and rejection bench mark for the mean was; 0-2.50 and 0-2.49 respectively. The findings which emerged include; the extent of some indices of gender variables on effective human resource management, among male and female public secondary school principals in Delta State and there was no significant difference between male and female secondary school principals’ views on the administrative task areas, and that gender variables influence in the management of human resources among public secondary school principals in Delta State, Nigeria.
 
 Received: 23 September 2021 / Accepted: 8 June 2022 / Published: 5 July 2022

A Quantitative Approach to Challenges Facing Online and Physical Classes in Social Studies Learning Higher Education

The aim of this research is to investigate the challenges faced by online and physical classes in social studies learning in higher education. This condition causes differences in online or physical face-to-face classes. Descriptive research of the survey type was employed to achieve the purpose of this study. Students in five randomly selected faculties in University of Ilorin, Nigeria made up the study target population. In order to choose sample from each of the selected faculties, proportionate sampling procedure was used. The actual sample size for the study was 200 Undergraduates, who were chosen using random selection techniques. Descriptive statistics of mean score were used to analyse the information obtained from the respondents. The findings of this study shows that students faced challenges while learning in both online and physical classrooms. It was concluded that despite the underlying similarities between online and physical classroom, the two modalities are very different from one another. Online teaching is typically student-centered which necessitates active learning, in contrast to traditional classroom instruction, which has been known to be teachers-centered and call for passive learning. It was a challenge for teachers to move from face to face in class mode to virtual learning, changing their teaching methodologies, and managing their time. And it was also a challenge to develop content which did not only covers the curriculum but also engage the learners.

Sparse block signal detection and identification for shared cross-trait association analysis

Genome-wide association studies (GWAS) have identified thousands of single nucleotide polymorphisms (SNPs) that are associated with complex traits. GWAS data allows us to investigate the shared genetic etiologies among different traits. However, linkage disequilibrium (LD) between the SNPs complicates the detection and identification of shared genetic effects. In this paper we model the LD by dividing the genome into LD blocks and linking the genetic variants within a block to a possible latent causal variant. An eigenvector-projected score statistic that leverages the set of variants in LD and a maxtype test statistic (Max-block) are proposed to detect the existence of cross-trait genetic association. The Max-block is easy to calculate and is shown to control the genome-wide error rate. After the detection a stepwise procedure is proposed to identify the significant blocks that explain the genetic sharing between two traits. Simulation experiments show that Max-block is more powerful than standard approaches in the sparse settings and is robust to different signal strengths or levels of sparsity. The method is applied to study shared cross-trait associations in 10 pediatric autoimmune diseases and identified several regions that explain the genetic sharing between juvenile idiopathic arthritis (JIA) and ulcerative colitis (UC) and between UC and Crohn’s disease (CD). In addition, our analysis also indicates the genetic sharing in the MHC region among systemic lupus (SLE), celiac disease (CEL) and common variable immunodeficiency (CVID). Results from real data and simulation studies show that Max-block provides an important alternative to commonly used genetic correlation estimation in understanding genetic correlation among complex diseases.

Robust score test for treatment effects for paired continuous and ordinal data

By assuming independence between the paired continuous and ordinal responses, we develop a score statistic for testing the difference between two treatment effects for the paired mixed data. The test is easy to implement and is legitimate for general marginal distributions and in the presence of within-pair correlation. Simulations show that our new method outperforms the generalized estimating equations (GEE) and the generalized linear mixed model (GLMM) in terms of performance measures most concerned.

GEE-Assisted Forward Regression for Spatial Latent Variable Models

Multivariate spatial data, where multiple responses are recorded at a set of spatial locations, are widely collected in many disciplines. One common approach for analyzing such data is spatial generalized linear latent variable models (spatial GLLVMs), where the latent variables are used to model both the spatial correlation between locations and correlations between responses. However, inference such as variable selection for spatial GLLVMs is computationally demanding, as the marginal likelihood involves a high-dimensional and often intractable integral. To overcome this, we propose to use spatial generalized estimating equations (GEEs) to perform fast, GEE-assisted forward regression for spatial GLLVMs. Focusing on counts and nonnegative continuous responses, we use spatial GEEs to build a forward solution path by choosing the candidate variable which maximizes a score statistic at each point on the path. A model is then selected from this path based on a modified score information criterion. The proposed approach is computationally efficient, relying only on GEEs which are quick to update, coupled with a novel theoretical result linking the coefficients from spatial GEEs to that of spatial GLLVMs. We show that the proposed approach can asymptotically identify all truly important nonzero predictors in the underlying spatial GLLVM. Simulations demonstrate that, when the data are generated from a sparse spatial GLLVM, GEE-assisted forward regression performs well at recovering this sparsity, while taking only a fraction of the computation time required to fit just a single (saturated) spatial GLLVM. Supplementary materials for this article are available online.

NURSES INTERVENTION STRATEGIES FOR HOSPITALISED PATIENTS WITH PRESSURE INJURIES IN HEALTHCARE FACILITIES IN ANAMBRA STATE, NIGERIA

Purpose: The study evaluated nurses’ intervention strategies for hospitalized patients with pressure injuries in healthcare facilities in Anambra State, Nigeria.
 Methodology: Cross sectional design was used for the study. A convenient sampling technique was used to select 168 nurses from a population of 290 nurses. A self-structured questionnaire with Cronbach Alpha coefficient of 0.70 was used for data collection. Data obtained were summarized using descriptive statistics of frequency counts, percentages and mean scores.
 Results: Findings from the study revealed that 70.2% of the nurses responses which gave an insignificant p-value (p>0.05) showed that nurses’ attitude towards pressure injury prevention in was poor. For nurses’ practice of pressure injury prevention, the p-value (p>0.05) was statistically insignificant as 65.5% of nurses never give advice to patients or caregivers regarding pressure injury preventive care before discharging the patient showing that pressure injury prevention was poor. Also 66.7% of nurses never carried out assessment procedures of pressure injury during treatment of patients with pressure injury and 80% of the nurses do proper documentation of pressure injury/wound characteristics. There was a significant relationship between nurses working experience and practices regarding pressure injury prevention; there was a relationship between nurses’ extent of treatment on patients with pressure injury and nurses’ rank but there was no significant relationship between nurses’ level of documentation of pressure injury and their level of education.
 Recommendation: In-service training and refresher courses on pressure injury for nurses, implementation of hospital policies and guidelines to promote positive nurses’ attitude towards pressure injury prevention were recommended.

Climatological Changes in Soil Moisture during the 21st Century over the Indian Region Using CMIP5 and Satellite Observations

Climate data records of soil moisture (SM) are fundamental for improving our understanding of long-term dynamics in the coupled water, energy, and carbon cycles over land. However, many of these studies rely on models for which the errors are not yet fully understood over a region. This may have a considerable impact on the economic growth of the country if the model’s future predictions are used for studying long-term trends. Here we examined the spatial distribution of past, present, and future predictions of SM studied using the Coupled Model Intercomparison Project Phase5 (CMIP5) simulations for the historical period (1850–2005) and future climate projections (2006–2099) based on Representative Concentration Pathways (RCP-RCP2.6, RCP4.5, RCP6.0, and RCP8.5). Furthermore, the performance of modeled SM with the satellite AMSR-E (Advanced Microwave Scanning Radiometer-Earth observation system) was studied. The modeled SM variations of 38 Global Climate Models (GCMs) show discreteness but still we observed that CESM1-CM5, CSIRO-MK3-6-0, BCC-CSM1-1, and also BCC-CSM1-1-M, NorESM1-M models performed better spatially as well as temporally in all future scenarios. However, from the spatial perspective, a large deviation was observed in the interior peninsula during the monsoon season from model to model. In addition, the spatial distribution of trends was highly diversified from model to model, while the Taylor diagram presents a clear view of the model’s performance with observations over the region. Skill score statistics also give the accuracy of model predictions in comparison with observations. The time series was estimated for the future trend of the SM along with the past few decades, whereas the preindustrial and industrial period changes were involved. Significant positive anomaly trends are noticed in the whole time series of SM during the future projection period of 2021–2099 using CMIP5 SM model datasets.

Latissimus dorsi myocutaneous flap repair is effective after neoadjuvant chemotherapy for locally advanced breast cancer

ObjectiveTo describe the clinical outcome and physical condition of patients with locally advanced breast cancer (LABC) who received neoadjuvant chemotherapy followed by mastectomy and latissimus dorsi myocutaneous flap repair.MethodsA retrospective review of 142 patients with locally advanced breast cancer was selected from 1156 breast cancer patients in the South and North areas of The Affiliated Calmette Hospital of Kunming Medical University between May 2008 and December 2018.ResultsAll participants (n = 142) were women aged 40–55 years (average age 47.35 ± 0.43 years) who received neoadjuvant chemotherapy followed by mastectomy and latissimus dorsi flap repair. The median follow-up period was 16 months (range 12–24 months). For stage of disease, there were 19 cases (13%) in stage IIB, 31 cases (22%) in stage IIIA, 39 cases (28%) in stage IIIB, and 53 cases (37%) in stage IIIC, which were statistically significant with the physical condition of patients (≤ 0.001). Neoadjuvant chemotherapy was administered to shrink the tumors, and an average tumor size decrease from 10.05 ± 1.59 cm × (8.07 ± 1.54) cm to 6.11 ± 1.72 cm × (3.91 ± 1.52) cm (P < 0.001) was considered statistically significant. A t test was used for the ECOG score statistics, and the results showed that the scores were statistically significant (≤ 0.001) before and after neoadjuvant chemotherapy and after surgery.ConclusionsNeoadjuvant chemotherapy is an accepted treatment option for patients with locally advanced breast cancer, and the use of a latissimus dorsi musculocutaneous flap for post-mastectomy reconstruction may improve the patients’ physical condition. Our results indicated that this strategy was safe and feasible.

Strategic Enhancement of Public Library Functionality: The Role of Stakeholders

This study is on Strategic Enhancement of Public Libraries Functionality in Delta State, Nigeria: The Role of Stakeholders. Descriptive research was used for the study. The population for the study was 229. However, the 28 Librarians manning the outreaches (public libraries) and their Assistants (28) as well as 44 non-professionals were purposively used as the sample size (100). The data collection instrument, the questionnaire had three clusters with statements on a 4-point Likert scale. The data were analyzed using frequency counts and Mean scores statistics. The study revealed that challenges hampering the functionality of public libraries include inadequate funding, insufficient qualified librarians, poor infrastructure, poor remuneration and inadequate public relation (PR) by libraries in that other; that the ways to enhance public libraries in Delta State and make them more functional include government provision of adequate funds, proper formulation of public library policies, employment of professional librarians to man the various sections of the library, and frequent organization of exhibitions of resources programme in public libraries; and serious stakeholders involvement in public library Management. This investigation more than before echoed on the need for government as the main stakeholder, to make serious effort in terms of supervising, appraising and implementing, the public library initiatives (as enshrined in the National Policy on Education).

Sequential Change-Point Detection for Mutually Exciting Point Processes

We present a new CUSUM procedure for sequential change-point detection in self- and mutually-exciting point processes (specifically, Hawkes networks) using discrete events data. Hawkes networks have become a popular model in statistics and machine learning, primarily due to their capability in modeling irregularly observed data where the timing between events carries a lot of information. The problem of detecting abrupt changes in Hawkes networks arises from various applications, including neuroengineering, sensor networks, and social network monitoring. Despite this, there has not been an efficient online algorithm for detecting such changes from sequential data. To this end, we propose an online recursive implementation of the CUSUM statistic for Hawkes processes, which is computationally and memory-efficient and can be decentralized for distributed computing. We first prove theoretical properties of this new CUSUM procedure, then show the improved performance of this approach over existing methods, including the Shewhart procedure based on count data, the generalized likelihood ratio statistic, and the standard score statistic. This is demonstrated via simulation studies and an application to population code change-detection in neuroengineering.

Determinants of Adolescents Pregnancy and Access to Reproductive Health Services in Niger Delta, Nigeria

This study investigated the determinants of adolescents’ pregnancy and access to reproductive health services in Niger Delta region, Nigeria. Two research questions and two research hypotheses were employed. Research design was descriptive survey design. Research instrument was a structured questionnaire. The population comprised of married female adolescents (3,027) in Rivers State. One thousand (1,000) participants were sample through purposive sampling technique. The reliability of the instrument yielded 0.87. The descriptive statistics of simple percentages and mean scores were used to analyze the data while the inferential statistics of simple regression and ANOVA were used to test the hypotheses at 0.05 alpha levels. The study revealed that all the independent variables (poverty and cultural beliefs) were significance correlates of adolescents’ pregnancy and access to reproductive health services in Niger Delta region, Nigeria. It was therefore recommended that Ministry and parents must solve the problem of poverty on the access of female adolescents’ pregnancy productive health services in Niger Delta, Nigeria. Traditional herbalist and parent should identify the effect of cultural belief on the access of female adolescents’ pregnancy productive health services in Niger Delta, Nigeria.

Reduce the Foreign Accent of Indonesian Arabic Learners Through A Minimal Pairs Strategy

The purpose of this study is to discuss how to use the minimal pairs strategy to help students improve their pronunciation abilities. The Research and Development (R&amp;D) and the Quasy Experimental Non-Equivalent Control Group Designs were combined in this study (QENECGD). The R &amp; D method was used to develop a model for implementing the minimal pairs strategy. The QENECGD method was used to evaluate students' final performance following the implementation of the minimal pairs strategy. The study enrolled 50 students who took Basic Arabic Language Proficiency course. Twenty-five students were assigned to the minimal pairs strategy, while the remaining twenty-five served as the control class. All students were required to read an Arabic script during the pre-test and post-tests. The results of these readings were analyzed for pronunciation accuracy using the provided reading script. The Bogaert scale was used in conjunction with the non-parametric test. The findings indicated that the minimal pairs strategy affected students' attainment of a foreign accent level. Additionally, statistical analysis enables the experimental and control groups to be distinguished. Furthermore, the N Gain Score statistic demonstrates the effectiveness of the minimal pairs method.

CHALLENGES FOR TEACHER EDUCATION IN INDIA: A STUDY OF FACULTY PERCEPTIONS WITH SPECIAL REFERENCE TO GENDER AND TYPE OF INSTITUTIONS

This study investigated the various challenges for teacher education in India as perceived by the staff of tertiary institutions conducting teacher education programmes. A descriptive survey research design was adopted for the study. A stratified sampling technique was used to select eighteen tertiary institutions from the six-geo-political zones in India. A structured questionnaire was designed and validated for the study. This instrument was administered on 450 respondents in the sampled tertiary institutions. The instrument was complemented with oral interview with the Dean of Faculties of Education, Directors of Institutes of Education and Provosts of the Colleges. The data collected were analysed using frequency count, percentage score and t-test statistic. The hypotheses formulated were tested at 0.05 level of significance. The study revealed that the various perceived challenges facing teacher education in India include professionalisation of teaching, socio-economic and political environments, personnel in terms of quality and quantity, instructional resources and infrastructures. Moreover, the respondents’ perceptions of the challenges were significantly influenced by gender and type of institution. All stake holders of education in India must intensify efforts in meticulously addressing these challenges to enhance effective delivery of teacher education in the country.