This study develops and validates an English communicative competence model for Korean high school students, in response to the need to redefine the relevant concepts and components of competence that are demanded by the rapidly evolving future society. Drawing on Celce-Murcia’s (2008) theoretical model on communicative competence, this research conceptualized a model that could assess high school students’ English communicative competence by examining relevant domestic and international studies as well as theoretical reflections. Expert opinions from a two-stage Delphi survey were compiled and incorporated to revise, supplement, and validate the English communicative competence among high school students reflecting Korea’s English education environment. Following this process, the conceptual model for English communicative competence was reorganized into five sub-competences (sociolinguistic, discourse, linguistic, interactional, and strategic competence) and 15 corresponding subfactors. The content validity ratio values for the conceptual definition and factor structure of this model were all above 0.64, thus affirming the validity of the conceptual definition and factor structure.

Although many attempts have been made to solve the atmospheric diffusion equation, there are many limits that prevent both solving it and its application. The causes of these impediments are primarily due to both the partial differentiation term and the turbulence diffusion coefficient. In consideration of this dilemma, this study aims to discuss the methodology and cases of utilizing a passive air sampler to increase the applicability of atmospheric dispersion modeling. Passive air samplers do not require pumps or electric power, allowing us to achieve a high resolution of spatial distribution data at a low cost and with minimal effort. They are also used to validate and calibrate the results of dispersion modeling. Currently, passive air samplers are able to measure air pollutants, including SO2, NO2, O3, dust, asbestos, heavy metals, indoor HCHO, and CO2. Additionally, they can measure odorous substances such as NH3, H2S, and VOCs. In this paper, many cases for application were introduced for several purposes, such as classifying the VOCs’ emission characteristics, surveying spatial distribution, identifying sources of airborne or odorous pollutants, and so on. In conclusion, the validation and calibration cases for modeling results were discussed, which will be very beneficial for increasing the accuracy and reliability of modeling results.

To secure approval for a decommissioning plan in Korea, it is essential to evaluate contamination dispersion through groundwater during the decommissioning process. To achieve this, licensees must assess the groundwater characteristics of the facility’s site and subsequently develop a groundwater flow model. It is worth noting that Combustible Radioactive Waste Treatment Facility (CRWTF) is characterized by their simplicity and absence of liquid radioactive waste generation. Given these facility characteristics, the groundwater flow model for CRWTF utilizes data from neighboring facilities, with the feasibility of using reference data substantiated through comparative analysis involving groundwater characteristic testing and on-site modeling. To enable a comparison between the actual site’s groundwater characteristics and the referenced modeling, two types of hydraulic constant characterization tests were conducted. First, hydraulic conductivity was determined through long-term pumping and recovery tests. The ‘Theis’ and ‘Cooper-Jacob’ equations, along with the ‘Theis recovery’ equation, were applied to calculate hydraulic conductivity, and the final result adopted the average of the calculated values. Secondly, a groundwater flow test was conducted to confirm the alignment between the main flow direction of the referenced model and the groundwater flow in the CRWTF, utilizing the particle tracking technique. The evaluation of hydraulic conductivity from the hydraulic constant test revealed that the measured value at the actual site was approximately 1.84 times higher than the modeled value. This variance is considered valid, taking into consideration the modeling’s calibration range and the fact that measurements were taken during a period characterized by wet conditions. Furthermore, a close correspondence was observed between the groundwater flow direction in the reference model (ranging from 90° to 170°) and the facility’s actual flow direction (ranging from 78° to 95°). The results of reference data for the CRWTF, based on the nearby facility’s model, were validated through the hydraulic properties test. Consequently, the modeling data can be employed for the demolition plan of CRWTF. It is also anticipated that these comparative analysis methods will be instrumental in shaping the groundwater investigation plans for facilities with characteristics similar to CRWTF.

In order to apply indirect methods (such as scaling factors) to assess the radionuclide inventory of waste generated by nuclear power plants, it is essential to first evaluate the correlation coefficient between key radionuclides and those that are difficult to measure (DTM). The benchmark for the correlation coefficient (r) applied in indirect assessments is set at 0.6, and its significance can vary based on both its value and the size of the dataset. For instance, deriving a correlation coefficient using three data points versus utilizing a dataset with a hundred data points would yield different implications. This study addresses the variance in correlation coefficients based on data selection and presents a methodology for validating the significance of these coefficients. Additionally, we will discuss how these variances may impact the results of indirect assessments, such as scaling factor evaluations.

In nuclear power plant environments, the analysis of gamma-emitting waste materials with complex shapes can be challenging. ISOCS (In-Situ Objective Counting System) is employed to measure the gamma-emitting radionuclide concentrations. However, it is crucial to validate the accuracy of ISOCS measurements. This study aims to validate the accuracy of ISOCS measurement results for spent filters. The ISOCS measurement process begins with modeling and efficiency calculations of the target spent filters using ISOCS software. ISOCS offers the advantage of direct measurement assessment by incorporating shielding materials and collimators into the detector efficiency calculation during the modeling process, without the need for separate efficiency correction sources. To validate the accuracy of ISOCS measurement results, the measured radioactivity values were used as input data for the MicroShield computer code to derive dose rates. These dose rates were then compared to the dose rates measured on-site, confirming the reliability of ISOCS measurements. In the field, ISOCS gamma measurements and surface dose rates were measured for three Cavity filters and four RCP Seal Injection filters. The measured dose rate for the Cavity filters was around 270 Svhr, and the computed values using MicroShield showed an error of approximately 12%. Despite modeling and calculation errors in computer analysis and potential uncertainties in the measurement environment and instrument, the computed values closely matched the measured values. However, the measured dose rate for the RCP Seal Injection filters ranged 2.9~8 Svhr, which is very low and close to background levels. When compared to the results of computer analysis, an error ranging from 27% to 97% was observed. It is concluded that validating the accuracy in the low dose rate range close to background levels is challenging through a comparison of calculated and measured dose rates.

A comparison and validation between the analysis and vibration test data of a nuclear fuel assembly were conducted. During the comparison and validation process, various parameters that govern the vibration behavior of the fuel assembly were determined, including nuclear fuel rod’s stiffness, spring constants of the dimple and spring of support structures, and damping coefficients. The calibration of the vibration analysis model aimed to find analysis parameters that can accurately simulate the vibration behavior of the test data. For calibration, power spectral density (PSD) diagrams were generated for both the measured signals from the test and the calculated signals from the analysis. The correlation coefficient between these two PSD plots was calculated. To find the analysis parameters, each parameter was defined as a variable with an appropriate range. Latin hypercube sampling was used to generate multiple sample points in the variable space. Analysis was performed for the generated sample points, and PSD plot correlation coefficients were calculated. Using the generated sample points and their corresponding results, a Gaussian Process Regression model was implemented for PSD plot correlation coefficients and the maximum PSD value. Based on the constructed surrogate model, the optimal analysis parameters were easily found without additional computations. Through this method, it was confirmed that the analysis model using the optimal parametes appropriately simulates the vibration behavior of the test.

본 연구에서는 미국 해양 대기청(NOAA)의 NOAA-20 위성에 장착된 차세대 고해상도 복사계인 VIIRS로부터 산출된 적외 해수면온도의 자료를 수집하고, 실측 자료와의 일치점을 생산하여 한반도 주변 해역에서의 정확도를 검증 하였다. 2020년 5월부터 2023년 6월까지 최근 3년간의 자료를 사용하였고, 총 75,700개의 일치점을 생산하였다. NOAA-20/VIIRS 해수면온도는 표층 뜰개 부이 관측 해수면온도와 비교해보았을 때 약 0.52K의 평균 제곱근 오차와 – 0.12 K의 평균 편차를 보였고, 이는 전구 해역을 대상으로 한 기존의 정확도 검증 연구 결과값을 상회하는 수치였다. NOAA-20 해수면온도의 오차 특성 분석 결과 겨울과 봄에는 음의 편차가, 여름철에는 양의 편차를 보이는 계절적 특 성이 나타났으며, 15-16시에 최대 평균 제곱근오차, 최대 양의 편차 및 22-24시에 최소 평균제곱근오차, 최소 편차를 가지는 일간 변화를 보였다. 이외에도 NOAA-20 해수면온도의 오차는 풍속, 위성 천정각, 연안으로부터의 거리, 해수면 온도의 공간 구배 크기에 영향을 받아 변동하는 특성이 나타났다. 전반적으로 위성 해수면온도의 편차값은 14ms1 이 상의 풍속 범위에서 풍속이 커질수록 양의 방향으로 증가하는 경향을 보였으며, 5 m s1 이하의 낮은 풍속 범위에서는 풍속이 약해질수록 낮/밤 자료에 따라 각각 양의 방향, 음의 방향으로 편차가 증가하였다. 위성 천정각이 커질수록 해 수면온도의 오차 범위는 급격하게 증가하였으며, 연안에 근접할수록 (<300 km) 위성 해수면온도의 오차가 증가하는 것 을 확인할 수 있었다. 해수면온도의 공간 구배는 그 크기가 커질수록 위성 해수면온도의 평균 제곱근 오차를 증폭시키 는 경향이 나타났다. 국지적인 해역에서의 위성 해수면온도 정확도 및 오차 특성은 전구 해역에서의 전반적인 특성과는 다르게 나타날 수 있다는 점을 고려할 때 본 연구는 향후 한반도 주변해에서 VIIRS 해수면온도를 활용하기 위한 선행 연구로 해수면온도 오차의 변동 특성 및 분포에 대한 깊은 이해가 필요함을 시사한다.

본 연구의 목적은 민주시민이자 세계시민으로서 갖추어야 할 자질과 현재와 미래 사회에서 요구되는 인성을 평가하는 성찰-실천기반 인성척 도를 개발하는 것이다. 첫째, 50개의 예비문항으로 탐색적 요인분석을 수행한 결과 총 8개 요인(자기이해, 공감, 공정, 협동, 인권, 미디어리터 러시, 환경, 그리고 타문화이해, 각 요인당 4개 문항)을 추출하였다. 둘 째, 급내상관계수를 이용하여 척도의 검사-재검사 신뢰도를 평가하였고, 그 결과 8개 요인 모두 높게 나타났다. 셋째, 32개 문항으로 확인적 요 인분석을 수행한 결과 성찰-실천기반 인성척도 모형은 전체 설명변량 중 65.67%를 설명하였고 모형 적합도 지수는 좋은 것으로 나타났다. 본 척 도의 신뢰도와 타당도 모두 높게 나타났다. 이들 결과는 성찰-실천기반 인성척도는 타당하고 신뢰할 만한 인성 측정 도구로 사용될 수 있다는 것을 나타낸다. 본 연구의 성찰-실천기반 인성척도를 교육 현장에 적용 하여 인성교육의 효과성과 그 효과의 지속성을 검증하는데 사용할 수 있 을 것이다.

본 연구의 목적은 한국형 코칭리더십 척도(K-CBLS)의 타당화 연구를 통해 조직에서 근무하는 리더들의 코칭리더십을 측정하고, 이를 통해 리더들의 코칭 리더십 역량 향상을 포함한 다양한 후속 연구에 기초자료를 제공하는 것이다. 본 연구를 위해 선행연구 및 문헌조사를 하였으며, Zuberbühler 등(2021)이 스 페인 및 라틴 아메리카 국가의 706명의 직장인과 리더를 대상으로 개발한 코칭 리더십(Coaching Based Leadership) 척도를 번안하여 초기 문항에 대한 타당성 과 적절성을 검토하여 수정·보완하였다. 이를 바탕으로 척도의 구성요소와 예비문항을 설정하고, 전문 코치를 대상으 로 포커스 그룹 인터뷰 실시를 통해 코칭리더십 개념을 탐색하고, 델파이 조사 를 실시하였다. 이를 통해 한국형 코칭리더십 척도(K-CBLS) 문항을 설정하였 으며, 설문조사를 통해 타당성을 확인하였다. 1차 내용 타당도 검증은 1차 예비 문항(16문항)에 대한 영역구성 및 하위 영역구성의 적절성과 중요성, 가독성을 Likert 5점 척도로 평가하였으며, 국제코칭연맹(ICF)과 (사)한국코치협회의 코 치 자격을 보유한 전문가를 대상으로 2차 타당도 검증을 통해 한국 정서에 적합 한 4개의 하위요인과 16개의 문항으로 구성요소와 이해도를 향상시켰다. 도출된 예비 척도의 요인 및 문항 구성을 확인하기 위해 기업에 근무하고 있 는 324명의 설문 데이터를 사용하여 요인분석과 탐색적 요인분석을 통해 작업 동맹, 열린 의사소통, 학습 및 개발, 수행 과정 및 결과 등 4개 요인의 15개 문항 으로 한국형 코칭리더십 척도를 확정하였다.

왕담배나방은 기주범위가 넓은 다식성으로 토마토, 옥수수, 담배, 해바라기, 땅콩, 면화, 콩 등 다양한 작물에 피해를 주는 해충이며, 장거리 이동성 해충으로도 유명하다. 본 연구에서는 기존 자료를 바탕으로 월동번데기의 성충으로 우화모델(2종)를 작성하고 포장 실측자료와 비교하여 평가하였다. 월동 번데기는 휴면을 종료한 후 안점소실 과정을 거쳐 정상의 번데기로 이행되고 비로소 성충으로 우화하는 것으로 가정하였다. 첫 번째 모형(모 형 1)은 2단계 휴면후발육 우화모형으로 안점소실에 필요한 적산온도 59.9DD (발육영점온도 15.9℃)와 번데기 발육완료에 필요한 192.3DD (발육영점온도 10.2℃)로 구성하였다. 두 번째 모형(모형 2)은 온도자극 우화모형으 로 17.63℃의 온도자극 이후에 번데기 발육을 개시하는 모형이었다. 적산온도는 단순 평균온도법과 사인곡선법 으로 계산하여 비교하였다. 포장자료와 비교 결과 모형 1에 사인곡선법을 적용했을 때 실측치와 편차가 3일보다 작거나 차이가 없었다. 반면 사인곡선법을 적용한 모형 2는 3~6.5일의 편차가 있었다. 평균온도법을 적용한 경우 두 모형 모두 실측치와 편차가 증가하였다. 모형을 활용하여 예측 우화시기와 트랩유살자료를 비교하여 왕담배 나방의 비래 가능성에 대하여 고찰하였다.

As various accidents have occurred in underground spaces, we aim to improve the quality validation standards and methods as specified in the Regulations on Producing Integrated Map of Underground Spaces devised by the Ministry of Land, Infrastructure and Transport of the Republic of Korea for a high-quality integrated map of underground spaces. Specifically, we propose measures to improve the quality assurance of pipeline-type underground facilities, the so-called life lines given their importance for citizens’ daily activities and their highest risk of accident among the 16 types of underground facilities. After implementing quality validation software based on the developed quality validation standards, the adequacy of the validation standards was demonstrated by testing using data from two-dimensional water supply facilities in some areas of Busan, Korea. This paper has great significance in that it has laid the foundation for reducing the time and manpower required for data quality inspection and improving data quality reliability by improving current quality validation standards and developing technologies that can automatically extract errors through software.

This study aimed to verify the validity of a measurement tool for Vietnamese high school students’ systems thinking abilities. Two quantitative assessment tools, the Systems Thinking Measuring Instrument (Lee et al., 2013) and the Systems Thinking Scale (Dolansky et al., 2020), were used to measure students’ systems thinking after translation into Vietnamese. As a result, it was revealed that Cronbach-α for each tool (i.e., STMI and STS) was .917 and .950, respectively, indicating high reliability for both. To validate the construct validity of the translated questionnaire, exploratory factor analysis was performed using SPSS 26.0, and confirmatory factor analysis was performed using AMOS 21.0. For concurrent validity, correlation analysis using structural equation modeling was performed to validate the translated questionnaire. Exploratory factor analysis revealed that 10 items from the STMI and 12 items from the STS loaded on the intended factors and appropriate factor loading values were obtained. For confirmatory factor analysis, a structural equation model organized with 10 items from the STMI and 12 items from the STS was used. The result of this showed that the convergent validity values of the model were all appropriate, and the model fit indices were analyzed to be χ 2 /df of 1.892, CFI of .928, TLI of .919, SRMR of .047, and RMSEA of .063, indicating that the model consisting of the 22 items of the two questionnaires was appropriate. Analysis of the concurrent validity of the two tools indicated a high correlation coefficient (.903) and high correlation (.571-.846) among the subfactors. In conclusion, both the STMI and STS are valid quantitative measures of systems thinking, and it can be inferred that the systems thinking of Vietnamese high-school students can be quantitatively measured using the 22 items identified in our analysis. Using the tool validated in this study with other tools (e.g., qualitative assessment) can help accurately measure Vietnamese high school students’ systems thinking abilities. Furthermore, these tools can be used to collect evidence and support effective education in ODA projects and volunteer programs.

A rapid analytical method was developed and optimized to determine gluten content in bread. Existing gluten quantification methods were inappropriate for bread with high gluten content because they were optimized to analyze shallow gluten content. To overcome this problem, the first method of quantifying the gluten content in bread was developed by modifying the gluten analysis method in cereal grains. Heat-stable gliadin was selectively quantified for gluten quantification using high-performance liquid chromatography (HPLC), and gliadin peaks were separated using an Agilent SB-C8 column. The specificity, linearity, accuracy, precision, limit of detection (LOD), and limit of quantification (LOQ) were measured for validation. The calibration curve of gliadin had high linearity (R2 = 0.9996), and LOD and LOQ were 0.03 and 0.10 g/100 g, respectively. The relative standard deviation (RSD) values of intra- and inter-day precision were less than 2.49% and 1.54%, respectively. Recovery ranged from 90.73% to 93.87%, with RSD values less than 2.06%. These results indicate that the HPLC method for quantifying gluten in bakery products is efficient, reliable, and reproducible.

본 연구는 자녀와의 상호작용에서 나타나는 부모의 피드백 특성을 에니어그 램 성격유형에 기반하여 살펴보고, 부모 스스로 자신의 피드백 특성을 파악하 고, 바람직한 피드백을 실행할 수 있도록 돕는 자료를 제공할 수 있는 척도를 개발하고 타당화하는 것을 목적으로 한다. 이를 위해 문헌조사 및 워크숍을 실시하여 에니어그램 성격유형별 부모의 피 드백 특성을 추출하고, 전문가 내용타당도 및 문항 분석을 통해 최종 107문항을 선정하였다. 선정된 문항의 신뢰도는 문항 내적 합치도를 통해 산출하였으며, 전체 Cronbach ɑ 계수는 .93, 각 유형별 .56∼.84로 나타났다. 또한, 개발된 척도 의 타당화는 비전에니어그램 성인용 척도(VETI-A)와의 공인타당도를 실행하 였으며, 집단별 교차타당도를 실행하여 검증하였다. 본 연구에서 개발된 에니어그램 성격유형에 기반한 부모의 피드백 척도는 부 모와 자녀의 상호작용에 있어 부모 자신의 피드백 특성을 파악하고, 심층적인 이해를 도모함으로써 긍정적이고 발전적인 피드백을 할 수 있도록 돕는 실질적 인 도구를 개발하고, 신뢰도와 타당도를 검증하였다는 점에서 의미가 있다.

Consumers sometimes see brands as relationship partners and expect that they conform to certain expectations, or relational norms. However, there is no valid and universal operationalization of these norms for the specific context of consumer-brand relationships. We address this gap by developing and validating a new scale in four studies.

In most cultural contexts, consuming ethically is socially desirable and reporting favorable attitudes is relatively cost-free. Thus, consumers have incentives to state favorable attitudes toward ethical products despite barriers to actual purchase. This attitude-behavior gap in ethical consumption presents a global challenge to socially responsible marketing (Carrington et al., 2010, 2014, 2016). Several explanations for this gap have been offered. The current research draws from these explanations and—based on literature in psychometrics and attitude formation—develops a novel measurement tool based on the Affect Misattribution Procedure (AMP; Payne et al., 2005). We aim to capture consumers’ implicit ethical product attitudes which have otherwise evaded marketers (Zollo, 2021). Further, using samples of consumers in both the US and Italy, the current research examines the predictive power of this measure in predicting consequential ethical consumption choices. We conclude with a proposal for additional studies to further validate the procedure in more ecologically valid contexts.

The Body Appreciation Scale-2 (BAS-2) measures the extent to which individuals feel, accept, and respond to their own bodies in a positive manner. Given the research need to explore positive body image and its associations with various sociocultural factors and related consequences among individuals with various cultural backgrounds, several studies have established the psychometric properties and factor structures of the BAS-2 in different languages and samples with different characteristics. The current study investigated the psychometric properties and measurement invariance of a Korean version of the BAS-2 in an older Korean adult population (599 older Korean adults with the average age of 70 years). Data were collected using both online and offline (paper-based) survey questionnaires. The results of exploratory factor analyses and confirmatory factor analysis evidenced the unidimensional factor structure and measurement invariance of the Korean BAS-2 among older Korean men and women, after dropping item 1. Scalar invariance was supported across gender, and men and women did not significantly differ in observed mean scores of the Korean BAS-2. The results also supported good convergent validity and criterion validity. Incremental validity was demonstrated by predicting self-esteem over and above measures of age, BMI, subjective financial and health status, body esteem, and ageism. High internal reliability and test-retest reliability over a 2-week period were confirmed. Overall, the results of this study support the reliable use of a Korean BAS-2 to measure positive body image among older Koreans after excluding item 1.