scholarly journals Application of Rasch Rating Scale Model to Analysis of Fear of Missing Out a Smartphone

10.32698/0562 ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
Alizamar Alizamar
Keyword(s):  
Rating Scale ◽  
Large City ◽  
Likert Scale ◽  
Scale Model ◽  
Scale Analysis ◽  
Fear Of Missing Out ◽  
Rasch Rating Scale Model ◽  
The Right ◽  
The Rasch Model ◽  
Rating Scale Model

The presence of smartphones is one of the technological advancements that have contributed greatly to changes in social behavior. This led to the inception of the Fear of Missing Out (FoMO) smartphone device. The purpose of this study therefore was to determine the right instrument to measure the FoMO smartphone by analyzing response points obtained from respondents. The study sample consisted of three groups of test subjects, from large city, small town and villages with n values of 226, 248, and 55 respectively. The data in this study were obtained using the 5-point Likert scale politomy data from a Fear of Missing out scale instrument, distributed online. The research data were analyzed using the Rasch model by testing rating scale analysis through Threshold. The results showed that the rating scale answered choices turned into a 3-point Likert scale with those not right, less right, and very right.

Construction of the Korean Very Short Form of the ATQ: An Application of Rasch Rating Scale Model

2018 ◽  
Vol 18 (6) ◽  
pp. 937-957
Author(s):  
Mina Lee ◽  
◽  
Hyeweon Byun ◽  
Minjeong Kim ◽  
◽  
...  
Keyword(s):  
Rating Scale ◽  
Short Form ◽  
Scale Model ◽  
Rasch Rating Scale Model ◽  
Rating Scale Model

Application of the Rasch rating scale model to the assessment of quality of life of persons with intellectual disability

2012 ◽  
Vol 37 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Laura E. Gómez ◽  
Benito Arias ◽  
Miguel Ángel Verdugo ◽  
Patricia Navas
Keyword(s):  
Quality Of Life ◽  
Intellectual Disability ◽  
Rating Scale ◽  
Scale Model ◽  
Rasch Rating Scale Model ◽  
Rating Scale Model

scholarly journals Defining statistical measurement levels of Intuitive Eating with the Rasch Rating Scale Model

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Hanis Gani ◽  
Peter Ho ◽  
Caroline Orfila
Keyword(s):  
Factor Analysis ◽  
Rating Scale ◽  
Test Theory ◽  
Composite Score ◽  
Scale Model ◽  
Intuitive Eating ◽  
Rasch Rating Scale Model ◽  
Significant Difference ◽  
The Relationship ◽  
Rating Scale Model

AbstractIntuitive eating is an intrinsic ability to moderate the amount and type of food, promoting a healthy diet and self-regulation of one's own weight. Different instruments (IES-H, IES-T, IES-2) have been developed to assess intuitive eating between different population groups from different countries. The construct validity and invariance of the 23-item Intuitive Eating Scale-2 (IES-2) has been widely validated by Confirmatory Factor Analysis and Exploratory Factor Analysis. However, these Classical Test Theory (CTT) methods have not always confirmed the same 4-factor structure.Rasch analysis, a Modern Test Theory method (MTT), has been used as an alternative approach to examine the psychometric properties of various health and medical instrument (HADS, KIDSCREEN-52, LANSS, MHRM). One significant difference between CTT and MT is the method of calculating a composite score. A CTT total sore is based on the summation of raw categorical scores, whereas these raw categorical scores are converted to interval-scaled measures into a Rasch composite score.Data was collected from 625 respondents was fitted to the Rasch Rating Scale Model. The data fitted the model adequately, as less than 5% and 1% of absolute standardised residuals were found to be ≥ 2 and ≥ 3, respectively. A Principle Component Analysis of Rasch residuals (PCAR) was used to determine the unidimensionality of the IES-2 and its subscales, after checking and adjusting for lack of item fit and proper rating scale functioning. PCAR indicated that all 23 items could not function as a single total unidimensional Rasch measure. However, the same item structure for the 4 subscales, originally proposed by Tylka and Kroon Van Diest, was confirmed by PCAR. The relationship between the respondents and the IES-2 items in each subscale could be explained using a Wright map, allowing both to be represented on the same logit scale.Statistical different levels of intuitive eating were determined for each subscale from a table representing the relationship between the lowest and highest possible raw scores and their Rasch measures. Wright maps showed the position of respondents between cut-off lines indicating different statistical levels along each unidimensional subscale of intuitive eating. The majority of respondents were classified into 2 out of 4 levels in the subscale Unconditional Permission to Eat, 3 out of 5 levels in Eating for Physical Rather Than Emotional Reasons, 3 out of 5 levels in Reliance on Internal Hunger and Satiety Cues and 2 out of 4 levels in Body-Food Choice Congruence.

scholarly journals Application of Rasch rating scale model in calibrating youth adversities in Malaysia

2019 ◽  
Vol 1366 ◽  
pp. 012119
Author(s):  
Mohd Effendi ◽  
Ewan Mohd Matore
Keyword(s):  
Rating Scale ◽  
Scale Model ◽  
Rasch Rating Scale Model ◽  
Rating Scale Model

scholarly journals Validasi skala penilaian instrumen perencanaan karier menggunakan Andrich Threshold

2020 ◽  
Vol 9 (1) ◽  
pp. 105-117
Author(s):  
Stefanus Soejanto Sandjaja ◽  
Yuda Syahputra ◽  
Lira Erwinda
Keyword(s):  
Rasch Model ◽  
Random Sampling ◽  
Rating Scale ◽  
Career Planning ◽  
Likert Scale ◽  
Research Data ◽  
Scale Analysis ◽  
Threshold Analysis ◽  
Inventory Data ◽  
The Rasch Model

AbstractSuccess in a career is synonymous with the welfare of an individual's life, which needs further handling from the counselor. In determining and preparing for a future career, counselors should use a valid and reliable inventory. However, inventory that is considered valid and reliable by the counselor still raises problems in administration, namely students are confused in setting the response point in the inventory. The purpose of this study is to find a clear and unambiguous rating scale to make it easier for students to set a response point in their inventory. The research sample uses area random sampling consisting of six groups of test subjects, namely: 1, n = 75; 2, n = 61; 3, n = 47; 4, n = 146; 5, n = 85; and 6, n = 63. Data in this study were 5-point Likert scale political data collected using career planning inventory. The research data were analyzed using the Rasch model by testing the rating scale analysis through Threshold analysis between ratings. The results showed the rating scale in the Threshold analysis, the rating scale changed to a four-point Likert scale with a choice of very inappropriate, not appropriate, appropriate, and very appropriate.Keywords: Career Planning; Likert Scale; Ratting Scale; Threshold AbstrakSukses dalam karier identik dengan kesejahteraan hidup individu, yang perlu penanganan lebih lanjut dari konselor. Dalam menentukan dan mempersiapkan karier dimasa depan, konselor mestinya menggunakan inventori yang valid dan reliabel. Namun, inventori yang dianggap valid dan reliabel oleh konselor masih memunculkan permasalahan dalam pengadministrasian, yaitu siswa bingung dalam menetapkan rating scale pada inventori. Tujuan penelitian ini adalah menemukan skala penilaian yang jelas dan tidak ambigu untuk memudahkan siswa menetapkan rating scale pada inventori. Sampel penelitian menggunakan area random samplingyang terdiri dari enam kelompok subjek tes, yaitu: 1, n = 75; 2, n = 61; 3, n = 47; 4, n = 146; 5, n = 85; dan 6, n = 63. Data dalam penelitian ini berupa data politomi 5-point Likert scale yang dikumpulkan menggunakan career planning inventory. Data penelitian dianalisis menggunakan model Rasch dengan menguji rating scale analysis melalui analisis Threshold antar rating. Hasil penelitian menunjukkan rating scale pada analisis Threshold, rating scale berubah menjadi empat point Likert scale dengan pilihan sangat tidak sesuai, kurang sesuai, sesuai, dan sangat sesuai. Kata kunci: Perencanaan Karier; Ratting Scale; Skala Likert; Threshold

scholarly journals The Calibration of Writing Apprehension Scale Using Rasch Rating Scale Model

2011 ◽  
Vol null (87) ◽  
pp. 273-301
Author(s):  
choi suk ki
Keyword(s):  
Rating Scale ◽  
Scale Model ◽  
Writing Apprehension ◽  
Rasch Rating Scale Model ◽  
Rating Scale Model
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