Discriminant Index Research Articles

Teacher Aptitude Test for College Admission in the University of Eastern Philippines: A Development and Validation Study

The study aimed at developing and presenting the validity evidence of a Teacher Aptitude Test (TAT) that could be used as one of the admission requirements in the College of Education of the University of Eastern Philippines Campus. Specifically, it aimed to determine the indices of difficulty and discrimination and the reliability of the constructed test. A descriptive research design was used and involved 224 freshman students. The main instrument used in the study is the developed Teacher Aptitude Test. Data were analyzed through item analysis and the Kuder-Richardson Formula 20. The analysis showed that most of the items in the developed Teacher Aptitude Test were accepted and passed the criteria for both indexes of difficulty and discrimination. In terms of the reliability of the test, the whole instrument obtained a good internal consistency, an indication that the developed test is highly reliable. Specifically, each component of the test possessed good and acceptable internal consistency. The developed Teacher Aptitude was deemed as a valid and reliable test. A total of 100 valid test items constituted the developed TAT after a series of validation processes were made.

Extraction and Evaluation of Discriminative Indexes of the Wearing Condition for High-Precision Blood Pressure Pulse Wave Measurement.

In this paper, we report a new discriminant index for evaluating the wearing condition of a blood pressure pulse wave measurement device with small variability. The prototype device consists of MEMS 3-axis force sensors, a 3-axis push-in adjustment mechanism, a fixed jig, and a signal processing board. The arterial tonometry method is used by this device to measure blood pressure pulse waves. However, to accurately measure the blood pressure pulse wave, the device must be appropriately worn. The evaluation of the wearing condition using the amplitude of the blood pressure pulse wave was complicated by the wearing process due to the large variability. Therefore, we propose the ratio of the blood pressure pulse wave component to the noise component as an index that can evaluate the wear condition of the device. The correlation coefficient between the discriminant index and the amplitude of the blood pressure pulse wave had a correlation coefficient of 0.879. Furthermore, the discriminant index reduced the coefficient of variation by 12.8%. Therefore, it was suggested that the discriminant index is an index that can evaluate the pressing amount, one of the wearing conditions of the blood pressure pulse wave measurement device with a small influence of variation.

Establishment of a Dynamic Nomogram for Predicting the Risk of Lymph Node Metastasis in T1 Stage Colorectal Cancer.

BackgroundAccurate prediction of the risk of lymph node metastasis in patients with stage T1 colorectal cancer is crucial for the formulation of treatment plans for additional surgery and lymph node dissection after endoscopic resection. The purpose of this study was to establish a predictive model for evaluating the risk of LNM in patients with stage T1 colorectal cancer.MethodsThe clinicopathological and imaging data of 179 patients with T1 stage colorectal cancer who underwent radical resection of colorectal cancer were collected. LASSO regression and a random forest algorithm were used to screen the important risk factors for LNM, and a multivariate logistic regression equation and dynamic nomogram were constructed. The C index, Calibration curve, and area under the ROC curve were used to evaluate the discriminant and prediction ability of the nomogram. The net reclassification index (NRI), comprehensive discriminant improvement index (IDI), and clinical decision curve (DCA) were compared with traditional ESMO criteria to evaluate the accuracy, net benefit, and clinical practicability of the model.ResultsThe probability of lymph node metastasis in patients with T1 colorectal cancer was 11.17% (20/179). Multivariate analysis showed that the independent risk factors for LNM in T1 colorectal cancer were submucosal invasion depth, histological grade, CEA, lymphovascular invasion, and imaging results. The dynamic nomogram model constructed with independent risk factors has good discrimination and prediction capabilities. The C index was 0.914, the corrected C index was 0.890, the area under the ROC curve was 0.914, and the accuracy, sensitivity, and specificity were 93.3, 80.0, and 91.8%, respectively. The NRI, IDI, and DCA show that this model is superior to the ESMO standard.ConclusionThis study establishes a dynamic nomogram that can effectively predict the risk of lymph node metastasis in patients with stage T1 colorectal cancer, which will provide certain help for the formulation of subsequent treatment plans for patients with stage T1 CRC after endoscopic resection.

Enhancing Visuospatial Working Memory Performance Using Intermittent Theta-Burst Stimulation Over the Right Dorsolateral Prefrontal Cortex.

Noninvasive brain stimulation provides a promising approach for the treatment of neuropsychiatric conditions. Despite the increasing research on the facilitatory effects of this kind of stimulation on the cognitive processes, the majority of the studies have used the standard stimulation approaches such as the transcranial direct current stimulation and the conventional repetitive transcranial magnetic stimulation (rTMS) which seem to be limited in robustness and the duration of the transient effects. However, a recent specialized type of rTMS, theta-burst stimulation (TBS), patterned to mimic the natural cross-frequency coupling of the human brain, may induce robust and longer-lasting effects on cortical activity. Here, we aimed to investigate the effects of the intermittent TBS (iTBS), a facilitatory form of TBS, over the right DLPFC (rDLPFC), a brain area implicated in higher-order cognitive processes, on visuospatial working memory (VSWM) performance. Therefore, iTBS was applied over either the rDLPFC or the vertex of 24 healthy participants, in two separate sessions. We assessed VSWM performance using 2-back and 4-back visuospatial tasks before iTBS (at the baseline (BL), and after the iTBS. Our results indicate that the iTBS over the rDLPFC significantly enhanced VSWM performance in the 2-back task, as measured by the discriminability index and the reaction time. However, the 4-back task performance was not significantly modulated by iTBS. These findings demonstrate that the rDLPFC plays a critical role in VSWM and that iTBS is a safe and effective approach for investigating the causal role of the specific brain areas.

A novel index model for defrosting initiating time point of air source heat pump based on the cusp catastrophe theory

In winter, the operating performance of air source heat pump (ASHP) units deteriorates due to the accumulation of frost on the outdoor coil surface. In order to reduce the impact of this disaster phenomenon, ensure stable operation and save energy, it is necessary to accurately determine the initiation of defrosting after a period of unit operation. Although some existing defrosting initiation control strategies are effective, too much data volume and accuracy are required. To address these issues, a different perspective on mutation from previous studies is taken. This study combines the cusp catastrophe theory with frost accumulation, and presents a defrosting initiation index model for ASHP. After a brief description of the cusp catastrophe theory, the discriminant index model based on the cusp catastrophe theory (DICC) is proposed, state variable and control variables of the index model are determined. Then, the unit was tested for 10-days. To solve and verify the DICC, 10-days experimental data was used and it was found that DICC can efficiently predict the heating capacity decreases. Consequently, the DICC-based defrosting initiation control strategy was compared with the existing strategies, and the unit’s performance improvement compared to the original strategy was evaluated, as the results show, a 3.9% improvement in coefficient of performance (COP) and a 4.9% increase in heating capacity. Therefore, the strategy proposed in this paper is suitable for ASHP units with limited data capacity and low data accuracy, also can ensure the accurate initiation of defrosting and efficient operation.

Comparison of Assessment Tools in Online and On-Campus Undergraduate Medical Examinations amidst COVID-19 Pandemic.

To compare the discriminating ability of online assessment tools in the module examinations during the COVID-19 pandemic. Descriptive study. Department of Anatomy, CMH Multan Institute of Medical Sciences (CIMS), Multan, from 22 June to 09 July 2021. In the academic year 2020, the first module examinations of the 2nd-year MBBS anatomy course was conducted on-campus via multiple-choice questions, short answer questions, and viva-voce. Owing to the COVID-19 lockdown, the following two module examinations were held online. The effectiveness of different assessment tools in the three module examinations was compared by calculating the discrimination indices and the area under the curve (AUC), using the receiver operating characteristic (ROC) curve analysis. SAQs showed the highest discrimination index (0.38) compared to MCQs and viva-voce in the on-campus module examinations but dropped to the lowest in the subsequent online modules (0.24 and 0.18). In contrast, the discriminating power of the viva-voce increased from marginally (0.23) to very good (0.47 and 0.49) as the mode of assessment shifted to online examinations. The ROC AUC also showed the same pattern. In the second and third module examinations, the viva-voce had significantly higher (p <0.05) AUC than MCQs alone and both the MCQs and SAQs, respectively. Viva-voce had a significantly higher discriminating index than MCQs and SAQs in online examinations. On-campus, SAQs had the highest discriminatory index. Using this statistical approach, the effectiveness of different components of the online examinations can be monitored to improve the quality of online examinations amidst the COVID-19 crisis. Key Words: COVID-19, Distance learning, Online education, Discrimination index, ROC curve, Pakistan, Assessment.

Discriminating Indices between Common Microcytic Anemias and Normal Population

Thalassemia minor (MT), either β or α, is the most frequent single gene mutation in human beings affecting 6% of population worldwide. It is more frequent in the Mediterranean region, Africa and South-East Asia. On the other hand Iron deficiency anemia (IDA), either nutritional or secondary to gastrointestinal or menstrual bleeding, is the most frequent cause of acquired anemia. Differentiation between these two types of anemia is important because both of them present themselves as microcytic anemia.2-6 However, in the thalassemia belt, some patients may have mixed IDA and TM.Therefore discrimination indexes should discriminate three categories from the normal population and each other.

Intelligent prediction of coal mine water inrush based on optimized SAPSO-ELM model under the influence of multiple factors

Mine water inrush is affected by many factors such as geological structure and fracture zone. However, there may be overlap among these factors, leading to uncertainty, fuzzy similarity and nonlinear relationship among most of them. Therefore, the traditional mathematical model is not ideal to predict water inrush. This paper proposes an intelligent model for predicting water inrush from coal floor based on simulated annealing particle swarm optimization-extreme learning machine (SAPSO-ELM). Based on 144 groups of learning data and 36 groups of predictive validation data, the proposed model extracted common factors from 14 geological factors that might be related to water inrush in a mining area, so as to reduce information interaction among discriminant indexes. In this paper, simulated annealing particle swarm optimization (SAPSO) is innovatively used to optimize the model parameters and compared with other intelligent models (SVM, BPNN, PSO-ELM and ELM) for the learning prediction of the same data. The results show that the common factors extracted from the original variables contain most of the comprehensive information and can reduce information redundancy. Compared with traditional intelligent models (SVM, BPNN, PSO-ELM and ELM), the proposed model improves the computational efficiency of convergence, and the prediction accuracy is higher. It is proved that SAPSO-ELM intelligent algorithm is indeed scientific and has broad application prospect in result prediction induced by complex multi-factors.

Brain-age estimation accuracy is significantly increased using multishell free-water reconstruction.

Although free‐water diffusion reconstruction for diffusion‐weighted imaging (DWI) data can be applied to both single‐shell and multishell data, recent finding in synthetic data suggests that the free‐water indices from single‐shell acquisition should be interpreted with care, as they are heavily influenced by initialization parameters and cannot discriminate between free‐water and mean diffusivity modifications. However, whether using a longer multishell acquisition protocol significantly improve reconstruction for real human MRI data is still an open question. In this study, we compare canonical diffusion tensor imaging (DTI), single‐shell and multishell free‐water imaging (FW) indices derived from a short, clinical compatible diffusion protocol (b = 500 s/mm2, b = 1,000 s/mm2, 32 directions each) on their power to predict brain age. Age was chosen as it is well‐known to be related to widespread modification of the white matter and because brain‐age estimation has recently been found to be relevant to several neurodegenerative diseases. We used a previously developed and validated data‐driven whole‐brain machine learning pipeline to directly compare the precision of brain‐age estimates in a sample of 89 healthy males between 20 and 85 years old. We found that multishell FW outperform DTI indices in estimating brain age and that multishell FW, even when using low (500 ms2) b‐values secondary shell, outperform single‐shell FW. Single‐shell FW led to lower brain‐age estimation accuracy even of canonical DTI indices, suggesting that single‐shell FW indices should be used with caution. For all considered reconstruction algorithms, the most discriminant indices were those measuring free diffusion of water in the white matter.

Power Load Forecasting Considering Climate Factors Based on IPSO-Elman Method in China

In order to implement the national need for the optimal allocation of power resources, power load forecasting, as an important research topic, has important theoretical and practical significance. The purpose of this study is to construct a prediction model considering climate factors based on a large amount of historical data, and to prove that the prediction accuracy is related to both climate factors and load regularity. The results of load forecasting are affected by many climate factors, so firstly the climate variables affecting load forecasting are screened. Secondly, a load prediction model based on the IPSO-Elman network learning algorithm is constructed by taking the difference between the predicted value of the neural network and the actual value as the fitness function of particle swarm optimization. In view of the great influence of weights and thresholds on the prediction accuracy of the Elman neural network, the particle swarm optimization algorithm (PSO) is used to optimize parameters in order to improve the prediction accuracy of ELMAN neural network. Thirdly, prediction with and without climate factors is compared and analyzed, and the prediction accuracy of the model compared by using cosine distance and various error indicators. Finally, the stability discriminant index of historical load regularity is introduced to prove that the accuracy of the prediction model is related to the regularity of historical load in the forecast area. The prediction method proposed in this paper can provide reference for power system scheduling.

CFD–DEM simulation and experimental study of flow pattern transition in a rectangular spouted bed

Flow pattern transition is one of the most important mechanisms in fluidization technology. By employing the computational fluid dynamics-discrete element method simulation and high-speed photography experiments, the influence of the fluidization velocity on the flow pattern in a fluidized bed was studied. With the increase of the fluidization velocity, the flow pattern transformation undergoes three processes: bubble fluidization; a state dominated by bubble fluidization along with slugginging fluidization; and a state in which bubble fluidization and turbulent fluidization coexist. Pressure fluctuations at different height positions in the fluidized bed were measured, and the intrinsic connection between the pressure fluctuations and flow pattern transition process was analyzed. It was found that the bed pressure fluctuations and the change in the number of bubble fragmentations can be used as important discriminative indexes for the transformation of bubble fluidization into turbulent fluidization. The discriminant formula for the internal flow pattern of the fluidized bed was established. These findings could serve as the reference for discriminating the flow pattern of fluidized beds.

Environmental manganese exposure and cognitive control in a South African population

ObjectiveTo characterize the association between environmental (residential air) manganese (Mn) exposure and cognitive performance, focusing on cognitive control, in a Black African population. MethodsWe administered the Go-No-Go, Digit Span, and Matrix Reasoning tests to population-based samples age ≥40 from a high Mn (smelter) exposed community, Meyerton (N = 629), and a demographically comparable low (background levels) non-exposed community, Ethembalethu, (N = 96) in Gauteng province, South Africa. We investigated the associations between community and performance on the cognitive tests, using linear regression. We adjusted a priori for age and sex, and examined the effect of adjustment for education, nonverbal IQ, smoking, and alcohol consumption. We measured airborne PM2.5-Mn to confirm community exposure differences. ResultsCompared to Ethembalethu residents, Meyerton residents’ test scores were lower (poorer) for all tests: 0.55 (95 % confidence interval [CI] 0.08, 1.03) lower scores for Matrix Reasoning, 0.34 (95 % CI -0.07, 0.75) lower for Digit Span, and 0.15 (95 % CI 0.09, 0.21) lower for Go-No-Go (high frequency discriminability index [probability]). The latter represented the most marked difference in terms of z-scores (0.50, 95 % CI 0.30, 0.71 standard deviations lower). The mean of the z-score of each of the three tests was also lower (0.34, 95 % CI 0.18, 0.50 standard deviations lower). These associations were similar in men and women, but attenuated with adjustment for education. Differences for Matrix Reasoning and Digit Span between the two communities were observed only among those who had lived in Meyerton ≥10 years, whereas for Go-No-Go, differences were also apparent among those who had lived in Meyerton <10 years. Mean PM2.5-Mn at a long-term fixed site in Meyerton was 203 ng/m3 and 10 ng/m3 in Ethembalethu. ConclusionResidence in a community near a high Mn emission source is associated with cognitive dysfunction, including aspects of cognitive control as assessed by the Go-No-Go test.

Analysis of the dominant seepage in high water-cut reservoirs by oilfield dynamic analysis and optimization software

The advantages of seepage is in the middle and later periods of the oilfield development, long-term injection water flushing formed under the change of reservoir pore permeability structure, increase the reservoir heterogeneity of change, in order to weaken the advantage of seepage affects the development effect, this paper use of high water cut oilfield adjustment and optimization software, the dynamic analysis for modeling is used to identify the advantages of seepage of the R D oilfield blocks. The static parameters and dynamic parameters are analyzed respectively, and different discriminant indexes are used to calculate water injection well and production well. The determination index of dominant seepage layer is determined for small layer in development block. The probability classification statistics and comprehensive score of daily water injection volume of water injection well are carried out to find the well layer with dominant seepage development, which is also a research direction of fine geological research.

Serum interleukin 15 level may serve as a new marker for alopecia areata

Background Alopecia areata (AA) is an autoimmune form of nonscarring hair loss that may affect any hair-bearing area. It is one of the most common forms of hair loss seen by dermatologists. The serum level of interleukin 15 (IL-15) is elevated in AA; subsequently, IL-15 limits the suppressive effect of regulatory T cells and activates CD8+NKG2D+ T cells to attack the cells of the hair bulb and initiate AA. Inhibiting IL-15 activity might be a breaking new therapeutic strategy in the treatment of AA. Patients and methods Serum IL-15 levels were measured by an enzyme-linked immunosorbent assay for 30 patients with active AA (group A), 30 patients with stable AA (group B), and 60 healthy participants of age-matched and sex-matched controls (group C). Results Serum levels of IL-15 were significantly increased in patients with AA and showed a significant positive correlation with severity (Severity of Alopecia Tool score) and activity of the disease. Receiver operating characteristics curve detected the validity of serum IL-15 in differentiating patients with AA from controls. The best cutoff point for IL-15 was determined to be more than or equal to 7.66 pg/ml, which was able to predict AA with 98.3 sensitivity and 100% specificity. Receiver operating characteristics curve of IL-15 was also conducted to evaluate the sensitivity and specificity of serum IL-15 as a diagnostic index for discrimination between active and stable AA cases, and the best cutoff point for IL-15 was determined to be more than or equal to 21.2 pg/ml, which was able to predict active AA, with 93.3 sensitivity and 100% specificity. Higher IL-15 levels were associated with prediction of severity and activity of AA. Conclusion Serum IL-15 may represent a new marker for AA diagnosis as well as a predictor of the disease severity and activity.

Utilizing Test Item Analysis to Portray the Quality of English Final Test

This study aims at describing the quality of the item test by analyzing the difficulty level, discriminating index, and distractor effectiveness of English final test item. The researchers use a descriptive quantitative as the research design. The population and sample of the study is the student’s answer sheets of the tenth grade of SMK PGRI Wonoasri. There are 22 student’s answer sheet as the primary data. The researchers use documentation technique and test kits of the English final test as the instrument. The data is analyzed by using classical theory measurement and item analysis’ formula. The result shows: (1) the level of difficulty which categorized as difficult is 35% (40 items), medium is 47% (19 items), and easy is 18% (7 items); (2) discrimination index that recommended for being rejected is 15% (6 items), accepted 38% (15 items), and not accepted is 47% (19 items); (3) distractor effectiveness which has functioning distractors as very good is 20% (8 items), good is 43% (17 items), fair 27% (11 items), and less good is 10% (4 items). In short, the quality and acceptance of test items of English final is medium or fair. So, there are still a lot of items need to be revised.

Implicit auditory perception of local and global irregularities in passive listening condition

The auditory system detects differences in sounds at an implicit level, but data on this difference might not be sufficient to make explicit discrimination. The biomarkers of implicit auditory memory of ambiguous stimuli could shed light on unconscious auditory processing and implicit auditory learning. Mismatch negativity (MMN) and P3a, components of event-related potentials (ERPs) reflecting stimuli discrimination without direct attention, were previously detected in response to the local (short-term) irregularity in the auditory sequence even in an unconscious state. At the same time, P3b was elicited only in case of direct attention in response to the global (long-term) irregularity. In this study, we applied the local-global auditory paradigm to obtain possible electrophysiological signatures of implicit detection of hardly distinguishable auditory stimuli. ERPs were recorded from 20 healthy volunteers during active discrimination of deviant sounds in the old-ball sequence and passive listening of the same sounds in the sequence with local-global irregularity. The discrimination task consisted of two blocks with different deviant sounds targeted to respond. The sound discrimination accuracy was at an average of 40%, implying the difficulty of explicit sound recognition. Comparing ERPs to standard and deviant sounds, we found posterior negativity in ERP around 450–600 ms in response to targeted deviant sounds. MMN was significant only in response to non-target deviants. In the passive local-global paradigm, we observed an anterior positivity (284–412 ms), compatible with P3a, in response to a violation of local regularity. Violation of global regularity elicited an anterior negative response (228–586 ms), resembling the N400 component of ERPs. Importantly, the other indexes of auditory discrimination, such as MMN and P3b, were insignificant in ERPs to both regularity violations. The observed P3a and N400 components of ERPs may reflect prediction error signals in the implicit perception of sound patterns even if behavioral recognition was poor.

Interocular Symmetry Analysis of Corneal Elevation Using the Fellow Eye as the Reference Surface and Machine Learning

Unilateral corneal indices and topography maps are routinely used in practice, however, although there is consensus that fellow-eye asymmetry can be clinically significant, symmetry studies are limited to local curvature and single-point thickness or elevation measures. To improve our current practices, there is a need to devise algorithms for generating symmetry colormaps, study and categorize their patterns, and develop reference ranges for new global discriminative indices for identifying abnormal corneas. In this work, we test the feasibility of using the fellow eye as the reference surface for studying elevation symmetry throughout the entire corneal surface using 9230 raw Pentacam files from a population-based cohort of 4613 middle-aged adults. The 140 × 140 matrix of anterior elevation data in these files were handled with Python to subtract matrices, create color-coded maps, and engineer features for machine learning. The most common pattern was a monochrome circle (“flat”) denoting excellent mirror symmetry. Other discernible patterns were named “tilt”, “cone”, and “four-leaf”. Clustering was done with different combinations of features and various algorithms using Waikato Environment for Knowledge Analysis (WEKA). Our proposed approach can identify cases that may appear normal in each eye individually but need further testing. This work will be enhanced by including data of posterior elevation, thickness, and common diagnostic indices.

Effect of Cognitive Control on Age-Related Positivity Effects in Attentional Processing - Evidence From an Event-Related Brain Potential Study.

Studies investigating age-related positivity effects during facial emotion processing have yielded contradictory results. The present study aimed to elucidate the mechanisms of cognitive control during attentional processing of emotional faces among older adults. We used go/no-go detection tasks combined with event-related potentials and source localization to examine the effects of response inhibition on age-related positivity effects. Data were obtained from 23 older and 23 younger healthy participants. Behavioral results showed that the discriminability index (d') of older adults on fear trials was significantly greater than that of younger adults [t(44)=2.37, p=0.024, Cohen’s d=0.70], whereas an opposite pattern was found in happy trials [t(44)=2.56, p=0.014, Cohen’s d=0.75]. The electroencephalography results on the amplitude of the N170 at the left electrode positions showed that the fear-neutral face pairs were larger than the happy-neutral ones for the younger adults [t(22)=2.32, p=0.030, Cohen’s d=0.48]; the older group’s right hemisphere presented similar tendency, although the results were not statistically significant [t(22)=1.97, p=0.061, Cohen’s d=0.41]. Further, the brain activity of the two hemispheres in older adults showed asymmetrical decrement. Our study demonstrated that the age-related “positivity effect” was not observed owing to the depletion of available cognitive resources at the early attentional stage. Moreover, bilateral activation of the two hemispheres may be important signals of normal aging.

Earlier detection facilitates skilled responses to deceptive actions.

High-skilled and recreational rugby players were placed in a semi-immersive CAREN Lab environment to examine susceptibility to, and detection of, deception. To achieve this, a broad window of seven occlusion times was used in which participants responded to life-size video clips of an opposing player 'cutting' left or right, with or without a deceptive sidestep. Participants made full-body responses to 'intercept' the player and gave a verbal judgement of the opponent's final running direction. Response kinematic and kinetic data were recorded using three-dimensional motion capture cameras and force plates, respectively. Based on response accuracy, the results were separated into deception susceptibility and deception detection windows then signal detection analysis was used to calculate indices of discriminability between genuine and deceptive actions (d') and judgement bias (c). Analysis revealed that high-skilled and low-skilled players were similarly susceptible to deception; however, high-skilled players detected deception earlier in the action sequence, which enabled them to make more effective behavioural responses to deceptive actions.

Cross-cultural adaptation of Turkish version of Parental-Caregiver Perceptions Questionnaire (P-CPQ).

Parental-Caregiver Perceptions Questionnaire (P-CPQ) is one of the scales used for evaluating the quality of life of children. Dental caries is an important factor affecting oral health-related quality of life. It was aimed to translate into Turkish and evaluate the psychometric properties of the P-CPQ with the evaluation of dental caries status of 6- to 14-year-old children. Children-parent pairs attending to paediatric dental clinic were involved. After the translation and adaptation of the scale, the data were collected from the parents with the Turkish version of the P-CPQ and a short questionnaire, and then, the intra-oral examination of the children was performed by a paediatric dentist. Statistical analysis was performed by using SPSS version 22.0 and SPSS AMOS 22. The significance level was 0.05. Confirmatory factor analysis for construct validity; and item analysis, item discrimination index and the Cronbach alpha internal consistency coefficient for reliability measurement were calculated. Discriminant validity was tested by comparing the median P-CPQ scores between children with caries experience and those without. Totally, 312 children-parent pair (52.9% female) participants were involved. The mean age of participated children was 9.00±1.89. P-CPQ score was calculated by summing the scores of all 31 items; the mean score of the parents was 18.8±12.8. Cronbach's alpha for the total scale was 0.87 and ranged from 0.680-0.795 for four subscales. The relationship between total and subscales was found to be statistically significant. Confirmatory factor analysis, item analysis and item discriminant index were approved. Model fit values were admissible. Turkish version of P-CPQ was created, and it had good internal consistency reliability of subscales and found to be valid in 6- to 14-year-old children.