Stages Of Data Interpretation Research Articles

Eğitim Yönetimi Süreçlerinde İhtiyaç Analiz Metotlarının İncelenmesi

In general, the needs analysis models in educational management processes have four stages: the organizational screening stage, the data collection stage, the data analysis/interpretation stage and the action stage. During the organization screening phase, it is necessary to identify potential issues that will arise in the needs analysis and to clarify problems. It aims to be able to see the big picture, identify stakeholders, explore informal powers and influences, reveal opinions, see new trends, identify new sources, situations whose supports are against it, identify limitations. The data collection phase is the phase in which information is clearly focused. It is determined at this stage who, which officials, will be investigated. This stage is a more formal research process. The goal is to decide which people and groups to collect information from. Determining the needs analysis is actually a system intervention. This intervention can be characterized as preparation for change in the organizational system with the needs of the organization, goals, expectations of people, competencies needed by a person and an organization in a common cluster, or new equipment. When determining the method to be used, it should be aimed to obtain the data in the highest quality way. The data interpretation stage is the most important stage in the design of education. By categorizing the data, needs, problematic areas and deficiencies are determined. At this stage, non-educational needs should also be included in the data. While logical results are obtained with concrete data, intuitions, emotions, opinions can also produce results that support these results. A synthesis of concrete data and tables with information about new and different ideas can reveal fruitful results. At the action stage, the design of the training will also become concrete along with the reporting of the analysis of the collected data. This stage is the last stage that completes the whole process. Key Words: Educational Management, Educational Needs, Methods of Analyzing Needs

Implementasi Metode Simple Multi Attribute Rating Technique (SMART) dalam Pemilihan Zona Prioritas dan Alternatif Berbasis Data Klasifikasi Indeks Vegetasi

Vegetation index analysis using the Normalized Difference Vegetation Index (NDVI) model needs to be processed using a decision support model to follow up on the Landsat 8/9 Operational Land Imaginer (OLI) satellite image data interpretation results. However, studies using the Simple Multi-Attribute Rating Technique (SMART) method to determine priority zones based on vegetation index classification data are still limited. This study uses the SMART decision support model to process NDVI classification data in mangrove areas. The stages in this study consist of four parts: the data collection stage, the data processing stage; the data analysis stage; and the data interpretation stage. At the data collection stage, the raster data used was sourced from the United States Geology Survey (USGS) platform, namely Landsat 8/9 OLI with coordinate raster data (Lat 01o43'18" N, Lon: 128o04'15" E) in 2013, 2018, and 2023. In addition, video and aerial photographs at the study site were taken using drones (Phantom 4 Version 2). At the data processing stage, the model used in calculating raster data is NDVI using the QGIS 3.30.1 application. This research data analysis and interpretation stage uses the SMART decision support model. The SMART decision support model is used to produce recommendations for priority zones for mangrove ecotourism development based on the results of the NDVI classification (minimum value, average value, maximum value) adjusted to the Decree of the State Minister of Environment Number 201 of 2004 concerning standard criteria and guidelines for mangrove forest destruction (rare, medium, and dense). Based on the calculation of the utility value of criterion C1 as a cost with a weight of 0.50 in the NDVI classification data for 2023, the second observation station is recommended as a priority zone with a total value of 0.50. Meanwhile, the calculation of the utility value of criterion C3 as a cost with a weight of 0.50 in the NDVI classification data in 2023 recommended the third observation station as a priority zone with a total value of 0.88. This means that the SMART method can be used to identify and analyze priority and alternative zones for the sustainable development of mangrove ecotourism areas.

Female Patients’ Experiences of Barriers to Communication with Male Nurses: A Qualitative Study

Background: Male nurses face various challenges in caring for female patients, such as the patients’ refusal of nursing care and sexual accusations. Communication, as a prominent element in providing high-quality health care services, can lead to or inhibit patient satisfaction and health. Professional nurse-patient communication is so important that some nursing theorists have based their theories on this type of communication and consider it an art in the nursing profession. Accordingly, this study aimed to investigate female patients’ experiences of barriers to effective communication with opposite-gender nurses. Methods: The present qualitative study was conducted using conventional content analysis. Purposive sampling was used to select 15 female patients. These patients were hospitalized in different wards and received care from an opposite-gender nurse. Interviewing was the main method of data collection. Graneheim and Lundman’s method was used to perform content analysis. The general stages of data interpretation include initial encoding and the formation of subthemes and themes based on the similarities and differences. Results: The main theme extracted following data analysis was ignorance of the patient in communication. This theme comprised of three subthemes, including negligence in maintaining patient privacy, one-way communication, and biased behavior. Conclusion: Based on the findings, the experience of female patients receiving care from male nurses was accompanied by feelings of annoyance. Male nurses are suggested to respect patient privacy, obtain permission before doing private procedures, and provide care for female patients without prejudice and abuse.

Structural smoothing on mixed instantaneous phase energy for automatic fault and horizon picking: case study on F3 North Sea

Today, with the development of 3-D studies and the increase in seismic data volume, there is a growing need to expand interpretation techniques for achieving higher speed and accuracy of interpretation tasks. Determining seismic faults and horizons is vital to accomplish the process as one of the essential stages of data interpretation. With the recent development of computational methods in seismic interpretation and their benefits, different approaches have been promoted. The specialist can make the understanding much faster with higher accuracy. In this research, a fully automated dual horizon and fault selection approach in the presence of semi-vertical faults is presented using a structural smoothing condition. Geological faults make it challenging to map sedimentary layers appropriately which is targeted for review in this work. Unlike Image processing techniques that determine the location of faults only, the proposed approach gives the benefit of the estimated fault displacement. In this method, faults are modeled as a displacement vector field. Despite traditional methods (such as similarity and coherence), in this method, the vector field of the estimated fault displacement determines the displacement and its location. This vector field can be used for auto-determination of fault-related layers displacement. As a result, automatic horizon picking in the presence of such faults is possible, thereby simplifying the mapping of sedimentary layers.

THE ISLAMIC BASIC-VALUES OF SUSTAINABILITY IN THE MANAGEMENT OF WATER RESOURCES IN PASURUAN EAST JAVA

This study aims to analyze the Islamic basic-values of sustainability in water resource management in Sumberrejo Village, Purwosari Sub-district, Pasuruan Regency, East Java, Indonesia. It was designed as a case study. The research subjects were the village officials, water resource managers, and water resource user communities. The data were collected through active participation, interview, observation, and documentation. In the data interpretation stage, this research employed the descriptive analysis method. The results showed that the Islamic basic-valuesof sustainability carried out by the people of Sumberrejo Village were that water management was a form of worship or obedience to Allah, gratefulness, fair distribution, balance (mizan), and care.

Popularitas Moderasi Beragama: Sebuah Kajian terhadap Tren Penelusuran Warganet Indonesia

Many activities have been carried out in the discourse of religious moderation on the internet. However, the activity of netizens search for information on the topic of religious moderation on the internet itself is still not well mapped. This paper aims to discuss trends in netizen search activities for information on the topic of religious moderation on the internet. The main data is sourced from Google Trends, which is focused on the period from December 2019 - December 2020. Data collection is done through documentation techniques. The data analysis process begins with restating the data that has been collected, then describes it, and finally the data interpretation stage is carried out. The result is that information search activities on the topic of religious moderation on the internet have not yet received massive search interest and a rich diversity of topics. The trend of searching for information on the topic of religious moderation on the internet has not yet reached high interest and is still not prevalent throughout Indonesia. This condition implies that efforts to promote the idea of religious moderation on the internet still need to be echoed again. The method used to build public attention to the topic of religious moderation cannot only be limited through the production of narratives or content about religious moderation in online media, but also needs to involve well-known figures who have high charismatics in the public sphere to build public attention. to be interested to browse and learn moderate religious knowledge on the internet. Keywords: Religious Moderation; Netizen ; Internet

A comparative study of fuzzy logic-based models for groundwater quality evaluation based on irrigation indices

AbstractGroundwater quality modelling plays an important role in water resources management decision making processes. Accordingly, models must be developed to account for the uncertainty inherent in the modelling process, from the sample measurement stage through to the data interpretation stages. Artificial intelligence models, particularly fuzzy inference systems (FIS), have been shown to be effective in groundwater quality evaluation for complex aquifers. In the current study, fuzzy set theory is applied to groundwater-quality related decision-making in an agricultural production context; the Mamdani, Sugeno, and Larsen fuzzy logic-based models (MFL, SFL, and LFL, respectively) are used to develop a series of new, generalized, rule-based fuzzy models for water quality evaluation using widely accepted irrigation indices and hydrological data from the Sarab Plain, Iran. Rather than drawing upon physiochemical groundwater quality parameters, the present research employs widely accepted agricultural indices (e.g., irrigation criteria) when developing the MFL, SFL and LFL groundwater quality models. These newly-developed models, generated significantly more consistent results than the United States Soil Laboratory (USSL) diagram, addressed the inherent uncertainty in threshold data, and were effective in assessing groundwater quality for agricultural uses. The SFL model is recommended as it outperforms both MFL and LFL in terms of accuracy when assessing groundwater quality using irrigation indices.

Collaborative Workshops for Community Meaning-Making and Data Analyses: How Focus Groups Strengthen Data by Enhancing Understanding and Promoting Use.

Community-based participatory research is a growing approach, but often includes higher levels of community engagement in the research design and data collection stages than in the data interpretation stage. Involving study participants in this stage could further knowledge justice, science that aligns with and supports social justice agendas. This article reports on two community-based participatory environmental health surveys conducted between 2015 and 2019 in an industrial region near Marseille, France, and focuses specifically on our approach of organizing focus groups to directly involve residents and community stakeholders in the analysis and interpretation process. We found that, in these focus groups, residents triangulated across many different sources of information—study findings, local knowledge, and different types of expert knowledge—to reach conclusions about the health of their community and make recommendations for what should be done to improve community health outcomes. We conclude that involving residents in the data analysis and interpretation stage can promote epistemic justice and lead to final reports that are more useful to community stakeholders and decision-makers.

PEMILIHAN BAHASA PADA MASYARAKAT ETNIK JAWA DI DUSUN GUMUK BANJI, DESA KENCONG, KECAMATAN KENCONG, KABUPATEN JEMBER

The Gumuk Banji community is a multi-ethnic society (consisting of Javanese, Madurese, and Chinese ethnic) and a bilingualist society (who masters Javanese, Madurese, and Indonesian). In a bilingualism society, there is always the problem of language choice because each language variety has its own function in the community. This article aims to describe the form of language choice and explain the determinants of language choice in the Javanese ethnic community in Gumuk Banji Village. The study was conducted using qualitative methods. Data collected by questionnaire and interview. The sample is determined by purposive random sampling technique. Data analysis was carried out in three stages: (1) data reduction, (2) data presentation, and (3) conclusion / verification. Data collected by questionnaire and open interview. The data interpretation stage is carried out using context analysis of the speech component. The results are stated as follows. The language varieties chosen in the family domain successively from the highest to the lowest frequency are the Javanese variety of ngoko, the Javanese variety of manners, and Indonesian; in the realm of neighborhoods: Javanese with a variety of ngoko, Javanese with a variety of manners, Madura with a variety of languages, and Indonesian; and in the realm of transactions: the Javanese variety of ngoko, the Javanese variety of manners, the Madurese variety of languages, and Indonesian. The factors that determine language selection in the family domain are participant factors (kinship status), speech objectives, speech media, and speech situations (formal or informal situations); in the neighboring domain are participant factors (ethnic similarities or differences, age and social status factors, and social relations factors), and the situation of speech (formal and informal), and in the domain of transactions are participant factors (ethnic similarities or differences).

Quality assurance for multiplexed assays – how can it be achieved?

Multiplexed assays are now a common form of analysis in routine clinical and research laboratories. Assuring the quality of this type of complex, massively-parallel testing poses challenges not encountered in the traditional single-plex assay. A range of quality assurance measures is implemented at different stages in a multiplex assay, beginning in the manufacturing process, and the ensuing analytical and data interpretation stages. This article explores quality issues and the quality assurance measures that have been devised for multiplex assays ranging from simple two-plex assays to the types of assays that involve simultaneous testing on millions of test sites on a single analytical device.

Target

Purpose– The purpose of this paper is to develop and validate a model of adoption of social media to assist project managers in the treatment of lessons learned (LL). Target, a collaborative model to foster learning in projects, approaches the problem of LL management from nearly a new light and perspective.Design/methodology/approach– This research was conducted using a mixed methods approach with a research design denominated partially mixed concurrent equal status. In this design, both quantitative and qualitative elements were conducted concurrently in their entirety before being mixed at the data interpretation stage. These elements have approximately equal emphasis with respect to reaching the objectives of the research.Findings– The results indicate the most suitable social media that match each LL process. They show how to manage LL through processes made in any phase of the project life cycle. The LL processes most commonly used in the projects are raising awareness, collect and store. According to the questionnaire respondents, 54.5 percent of organizations make use of social media in project management, and among the interviewees, half of them use such tools in projects. In addition, 84.1 percent of the questionnaire respondents believe that social media can assist in the LL management.Research limitations/implications– This study did not get proven successful experience reports in the management of LL. Respondents and interviewees mentioned and recognized such importance, but in projects that use LL management there are no control reports of this learning in organizations in order to measure the gains from the practice of LL management, which indicates an area for future work. An empirical validation of the model proposed in this paper is one immediate research to be done. Another future work is to validate the model in projects from disparate sectors.Practical implications– The Target model could minimize the problem of knowledge drain, which is ineffective learning practices, resulting in knowledge hoarding, limited sharing and superficial LL practices. Thus, the use of processes supported by collaborative tools that promote discussion, with a familiar format for the user and with an efficient search engine, can generate greater involvement in projects. The usefulness is determined as practical and scientific. It is determined as practical use, because the model allows the selection of tools for each LL process and it can be applied to projects in organizations.Originality/value– This research proposes a new approach to the management of LL supported by social media. The Target model adds a theoretical contribution to LL processes associating them to social media. This research revisited the extant LL processes and methods in the literature, proposing a new process – raising awareness – that covers personal and interpersonal aspects for the management of LL. The theoretical contribution lies on incremental originality, since it is based on existing theories, processes, methods and tools in order to provide a solution to a known problem.

PERAN GENDER DALAM PENGAMBILAN KEPUTUSAN PADA ERA REFORMASI DI INSTITUSI KEPOLISIAN

The Police are in the process of reforming the gender, namely the change of a police organization into a professional and responsible police force and implement a policing style that is responsive to the needs of the local community. Where in the act of finding solutions and decision-making field did not see any differences between men and women. The purpose of this study is to examine the role of gender in decision making in the reform era in Police institution (South Bekasi Police Station case study). Analytical methods used are qualitative, through the stages of data interpretation, data reduction, data preparation, examination of data validity, and draw conclusions. The new view that women have equal rights and opportunities and their potential will expand the space for women and the presence of female figures in the public dimension, to be treated proportionally and not to rule out their opinions and make decisions. Keywords: Gender Roles and Decision Making.

Current Mixed Methods Practices in Qualitative Research: A Content Analysis of Leading Journals

Mixed methods research (MMR) has become increasingly popular in recent years. Yet, methodological challenges of mixing qualitative and quantitative data remain. Understanding how MMR is approached in qualitative research journals provides insights into lingering mixing issues. In this article, we content analyzed five leading qualitative research journals from 2003 to 2014, which represents the reflective period of MMR. Of the 5,254 articles published, 94, or 1.79%, were mixed methods in nature, comprising 44 theoretically oriented articles and 50 empirical articles. In terms of theoretical articles, five content-based themes were identified: (a) MMR advocacy, (b) philosophy issues, (c) procedural suggestions, (d) practical issues and best practices, and (e) future directions. In terms of empirical articles, 36% used exploratory sequential designs, primarily to develop instruments, and 52% explicitly identified as MMR. None of the studies included MMR questions, and development (21%) and complementarity (14%) were the primary rationales for mixing. In virtually all studies (98%), mixing occurred at the data interpretation stage through some comparison of qualitative and quantitative research. Qualitative data were prioritized in 86% of the studies. Based on these findings, it appears that MMR affects qualitative research most directly by influencing study design and study purpose; however, there is a strong tendency to conduct and publish qualitative and quantitative studies separately. Recommendations for publishing future MMR are discussed.

Qualitative, quantitative, or mixed methods: An analysis of research design in articles on principal professional development (1998–2008)

AbstractThe study’s purpose was to examine the articles on principal professional development published in eight peer-reviewed journals (1998–2008) to assess trends in the types of articles, prevalence of mixed methods designs, and purposes for mixing. Data analyses were implemented in two stages. First stage, a systematic conceptual content analysis was used to categorize articles as conceptual papers (35%), qualitative (22%), mixed methods (18%), quantitative (15%), and literature reviews (10%). Second stage, the analysis of the purpose and design of the mixed methods studies revealed that the method of integration occurred typically at the data interpretation stage; sequential designs and dominant–less dominant designs were prevalent; and complementarity was the most common purpose for combining methods. Implications regarding the identified trends are discussed.

On Variants of the Frequency Power Law for the Electromagnetic Characterization of Hydraulic Concrete

The objective of this paper is threefold: First, dielectric permittivity measurements on concrete specimens are compared among the different variants of Jonscher's model. Each of these variants considers just a limited number of parameters (two or three), based on certain material-dependent and/or bandwidth-related simplifying assumptions. According to this setup, these variants affect the inherent “universality” of the model by imposing a tradeoff between representativeness and practicality. Such an effect becomes more pronounced for concrete mixtures with high moisture content. Next, we propose a computationally efficient two-step procedure for estimating the four model parameters; this procedure filters the linear parameters that contribute to model deviation from the frequency power law by applying the Kramers-Krönig relations. Only two parameters therefore need to be estimated numerically, whereas the filtered parameters can be estimated in closed form as the solution to a simple linear least-squares problem. All of these variants are applied to an array of concrete mixtures and then evaluated by their goodness of fit. The results obtained demonstrate that accounting for all model parameters via the proposed procedure yields the smallest fitting error, thus enhancing the data interpretation stage. Moreover, a parametric study has been carried out in order to correlate the dispersion parameter <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> present in each variant of Jonscher's model with the physical and hydric characteristics of the concrete mixtures. This procedure has made it possible to derive trends providing information on the conditioning state of the studied media.

Implementation and uses of automated de novo peptide sequencing by tandem mass spectrometry.

There are several computer programs that can match peptide tandem mass spectrometry data to their exactly corresponding database sequences, and in most protein identification projects, these programs are utilized in the early stages of data interpretation. However, situations frequently arise where tandem mass spectral data cannot be correlated with any database sequences. In these cases, the unmatched data could be due to peptides derived from novel proteins, allelic or species-derived variants of known proteins, or posttranslational or chemical modifications. Two additional problems are frequently encountered in high-throughput protein identification. First, it is difficult to quickly sift through large amounts of data to identify those spectra that, due to poor signal or contaminants, can be ignored. Second, it is important to find incorrect database matches (false positives). We have chosen to address these difficulties by performing automatic de novo sequencing using a computer program called Lutefisk. Sequence candidates obtained are used as input in a homology-based database search program called CIDentify to identify variants of known proteins. Comparison of database-derived sequences with de novo sequences allows for electronic validation of database matches even if the latter are not completely correct. Modifications to the original Lutefisk program have been implemented to handle data obtained from triple quadrupole, ion trap, and quadrupole/time-of-flight hybrid (Qtof) mass spectrometers. For example, the linearity of mass errors due to temperature-dependent expansion of the flight tube in a Qtof was exploited such that isobaric amino acids (glutamine/lysine and oxidized methionine/ phenylalanine) can be differentiated without careful attention to mass calibration.

Use Of Close Range Objective Speckles For Displacement Measurement

In the past two decades, speckle photography and its electronic counterpart have been extensively used for displacement measurement purposes, the applications ranging from civil engineering over biomechanical field to astronomy. In most applications, a more or less sophisticated imaging process is involved. The simplest way of normal photographing, however, is placing the emulsion in contact with the object; this concept can also be used for speckle correlation purposes. If coherent illumination is used, one can speak about objective speckles; it will be shown that incoherent illumination can also be used, during both recording and data interpretation stages.