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Translation & Adaptation of(Patterns) & (Assembly) Scales of The Flanagan Aptitude Classification Tests (FACT)
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The Flanagan Aptitude Classification Tests (FACT) assesses aptitudes that are important for successful performance of particular job-related tasks. An individual's aptitude can then be matched to the job tasks. The FACT helps to determine the tasks in which a person has proficiency. Each test measures a specific skill that is important for particular occupations. The FACT battery is designed to provide measures of an individual's aptitude for each of 16 job elements.

The FACT consists of 16 tests used to measure aptitudes that are important for the successful performance of many occupational tasks. The tests provide a broad basis for predicting success in various occupational fields. All are paper and pencil tests that can be given to an individual or to a large group by a single examiner.

Each of the 16 tests in the FACT series is printed in a separate booklet. This allows the tests to be administered individually or as a complete battery. One of these tests is (Patterns Scale & Assembly Scale), which consists of different shapes that needs an answer.

The Flanagan Aptitude Classification Tests have been used in a wide variety of organizations. These include industrial and business firms, educational institu­tions, hospitals, nursing schools and various governmental institutions. The FACT may be used for selection, placement, reclassification and vocational counseling. There are a recommended tests for 37 occupational areas, as well as general college aptitude, all of these tests are listed in the original manual of the (FACT Battery)

Selection and Placement: The FACT may be used individually or as a partial or complete battery to aid in selection and placement. If used in selection, the battery can be a valuable aid in determining if the applicant has the capacity to learn the job requirements. If used in placement, the battery can identify individuals who have more ability and aptitude that fit the requirements of one job better than another. A person who has a high aptitude for engineering, for example, should be able to learn the skills of engineering quickly and enjoy above-average success as an engineer. An individual with a low aptitude for engineering will probably have difficulty in learning engineering skills. Different occupations require different test combinations to assess the specific job-related skills necessary to perform adequately in each position.

Vocational Counseling: The FACT can be administered to individuals or to a large group. Selected individual tests of the battery may be administered if desired. Selected tests from the FACT battery may be used with an individual who has tentatively decided upon a vocation. The occupational Stanine score, discussed in this study, provides an index of probable success in the vocation. A high score indicates high abilities in that area. Conversely, a low score indicates low abilities in that area. FACT scores can help both the individual and the counselor in providing realistic vocational planning.

Vocational Classes: The FACT may also be used in school courses for vocational planning. After the students have completed the FACT, each student should compute his or her occupational Stanine scores. These scores can then be the focus of discussion centering both on explanation and interpretation. The FACT scores provide students with an increased self-understanding of their vocational aptitudes. A student can then make wiser vocational decisions by matching his/her abilities with the requirements of a job. Overall, the FACT scores provide highly valuable information for individual vocational planning and broad school programs for vocational guidance.

From the above introduction, the importance of this study arises, and the study aimed to translate and make an adaptation of (Patterns Scale & Assembly Scale) to be a valid and reliable instruments for the Iraqi population.

After getting through the procedures of this study, the above-mentioned Scales has been translated and adapted for the Iraqi environment according to the international standards for translations and adaptations of psychological assessments, and resulting an Arabic valid and reliable version suitable for the Iraqi environment. The research outcomes also with some recommendations & suggestions.

 

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Publication Date
Wed Dec 01 2021
Journal Name
Computers & Electrical Engineering
Utilizing different types of deep learning models for classification of series arc in photovoltaics systems
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Publication Date
Sun Jan 01 2023
Journal Name
International Journal Of Nonlinear Analysis And Applications
Rock facies classification and its effect on the estimation of original oil in place based on petrophysical properties data
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The most significant function in oil exploration is determining the reservoir facies, which are based mostly on the primary features of rocks. Porosity, water saturation, and shale volume as well as sonic log and Bulk density are the types of input data utilized in Interactive Petrophysics software to compute rock facies. These data are used to create 15 clusters and four groups of rock facies. Furthermore, the accurate matching between core and well-log data is established by the neural network technique. In the current study, to evaluate the applicability of the cluster analysis approach, the result of rock facies from 29 wells derived from cluster analysis were utilized to redistribute the petrophysical properties for six units of Mishri

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Publication Date
Tue Oct 01 2013
Journal Name
Journal Of Economics And Administrative Sciences
Institutional Structures and the Transformation of the Private Sector in Iraq
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Sat Oct 01 2016
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Enhancing case-based reasoning retrieval using classification based on associations
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Classification SINGLE-LEAD ECG by using conventional neural network algorithm
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Enhanced EEG Signal Classification Using Machine Learning and Optimization Algorithm
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This paper proposes a better solution for EEG-based brain language signals classification, it is using machine learning and optimization algorithms. This project aims to replace the brain signal classification for language processing tasks by achieving the higher accuracy and speed process. Features extraction is performed using a modified Discrete Wavelet Transform (DWT) in this study which increases the capability of capturing signal characteristics appropriately by decomposing EEG signals into significant frequency components. A Gray Wolf Optimization (GWO) algorithm method is applied to improve the results and select the optimal features which achieves more accurate results by selecting impactful features with maximum relevance

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Publication Date
Wed Dec 30 2015
Journal Name
College Of Islamic Sciences
Morphological Participation in the Forms of (Faul) and (Fael)
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This research examines the phenomenon of the Arabic language repeated in the Qur'an and poetry, as some morphological formulas are valid in their uses and indications in more than one way. search).

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Comparative Study of Genomic DNA Extraction Protocols from Whole Blood for P53 Gene Polymorphism in Persons with and without Prostate Cancer
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In latest decades, genetic methods have developed into a potent tool in a number of life-attaching applications. In research looking at demographic genetic diversity, QTL detection, marker-assisted selection, and food traceability, DNA-based technologies like PCR are being employed more and more. These approaches call for extraction procedures that provide efficient nucleic acid extraction and the elimination of PCR inhibitors. The first and most important stage in molecular biology is the extraction of DNA from cells. For a molecular scientist, the high quality and integrity of the isolated DNA as well as the extraction method's ease of use and affordability are crucial factors. The present study was designed to establish a simple, fast

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