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 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.

Rasch Modeling and Confirmatory Factor Analysis of the Systemizing Quotient-Revised (SQ-R) Scale

2015 ◽  
Vol 18 ◽  
Author(s):  
Carrie Allison ◽  
Simon Baron-Cohen ◽  
Mark H Stone ◽  
Steven J Muncer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Rasch Model ◽  
Rating Scale ◽  
Autism Spectrum ◽  
Rasch Modeling ◽  
Confirmatory Factor ◽  
Scale Scores ◽  
Spectrum Condition ◽  
The Rasch Model

AbstractThis study assessed the dimensionality of the Systemizing Quotient-Revised (SQ-R), a measure of how strong a person's interest is in systems, using two statistical approaches: Rasch modeling and Confirmatory Factor Analysis (CFA). Participants included N = 675 with an autism spectrum condition (ASC), N = 1369 family members of people with ASC, and N = 2014 typical controls. Data were applied to the Rasch model (Rating Scale) using WINSTEPS. The data fit the Rasch model quite well lending support to the idea that systemizing could be seen as unidimensional. Reliability estimates were .99 for items and .92 for persons. A CFA parceling approach confirmed that a unidimensional model fit the data. There was, however, differential functioning by sex in some of these items. An abbreviated 44-item version of the scale, consisting of items without differential item functioning by sex was developed. This shorter scale also was tested from a Rasch perspective and confirmed through CFA. All measures showed differences on total scale scores between those participants with and without ASC (d = 0.71, p < .005), and between sexes (d = 0.53, p < .005). We conclude that the SQ-R is an appropriate measure of systemizing which can be measured along a single dimension.

scholarly journals Validation of the Social Provision Scale with Indonesian Student Sample: A Rasch Model Approach

2020 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Tina Deviana ◽  
Bahrul Hayat ◽  
Bambang Suryadi
Keyword(s):  
Social Support ◽  
Rasch Model ◽  
Rating Scale ◽  
Scale Model ◽  
Future Research ◽  
Student Sample ◽  
Social Provision ◽  
The Social ◽  
Social Provision Scale ◽  
The Rasch Model

The condition of Indonesia is currently being faced by the corona virus (COVID-19) pandemic 2019. The importance of solutions related to the existence of the role of teachers or educators to provide references such as social support to students in learning and teaching activities from home, this study conducted to provide research tools or instruments that can be used by educators or researchers by testing the validity of a social support construct (Social Provision Scale) measuring instrument using the Rasch Model. Although much has been done to test the validity of the Social Provision Scale, no one has examined it by involving social support in the context of Education. Likewise, the majority of research on social support uses confirmatory factor analysis, and no one has used the Rasch Model in validating the Social Provision Scale instrument, especially in Indonesia. The data used are secondary data from Putra of 326 people in SMA Negeri 29 South Jakarta using cluster sampling. The results of the application of the Rasch Rating Scale model show that the psychometric characteristics of the Social Provision Scale are very good and precise, as well as the compatibility of the items to the model. Implications and suggestions for future research are also discussed.

Ready for school? Ready for learning? An empirical contribution to a perennial debate

2001 ◽  
Vol 18 (1) ◽  
pp. 77-80 ◽  
Author(s):  
Trevor G. Bond
Keyword(s):  
Rasch Model ◽  
Developmental Psychology ◽  
Analytical Techniques ◽  
Rasch Measurement ◽  
Research Data ◽  
Model Sets ◽  
Unit Value ◽  
Australian Council ◽  
The Rasch Model ◽  
Better Than

The Rasch measurement principles espoused in the Bond & Fox (2001) volume reviewed elsewhere in this journal are routinely adopted by Australia's major educational measurement projects (e.g., by Australian Council for Educational Research, Educational Testing Centre). Yet those ideas are yet to have their full impact in smaller research projects in educational and developmental psychology. A number of quantitative analytical techniques used in our disciplines are able to help us to draw conclusions like “Betty is better than or more developed than Bob”, but Rasch measurement is uniquely placed to help us conclude that “Betty is this much better than or more developed than Bob.” In educational and psychological statistics, we regularly presume the “interval” nature of our research data, but only the Rasch model sets about to ensure that the units of measurement maintain their unit value across the whole achievement or development scale.

scholarly journals CAREER PLANNING DIFFERENCES BETWEEN MALE AND FEMALE DEAF STUDENTS /NEPRIGIRDINČIŲ MOKINIŲ (VAIKINŲ IR MERGINŲ) KARJEROS PLANAVIMO SKIRTUMAI

2019 ◽  
Vol 1 (39) ◽  
pp. 89
Author(s):  
Afdal Afdal ◽  
Mega Iswari ◽  
Alizamar Alizamar ◽  
Ifdil Ifdil ◽  
Yuda Syahputra ◽  
...  
Keyword(s):  
High School ◽  
Random Sampling ◽  
Career Planning ◽  
Likert Scale ◽  
Female Students ◽  
Scale Model ◽  
Deaf Students ◽  
Male And Female ◽  
Significant Difference ◽  
West Sumatra

<p class="ListParagraph1">This research aimed to study career planning differences between deaf male and female students. The study consisted of 96 deaf students of West Sumatra high school  registered in the semester of January-June 2018, randomly selected by multiple random sampling. Furthermore, the Afdal Career Planning Inventory (ACPI), using the Likert Scale model was used to examine and analyze the study. The results showed no significant difference in the career planning of male and female deaf students. It also showed that the male deaf students are generally in the low category, while the female are in the medium.</p><p class="ListParagraph1">Tyrimu siekiama išanalizuoti karjeros planavimo skirtumus tarp mokinių vaikinų ir merginų. Tyrimo imtį sudarė 2018 m. sausio–birželio semestrui užregistruoti Vakarų Sumatros gimnazijos 96 kurti mokiniai, atrinkti atsitiktine tvarka. Be to, siekiant ištirti<br />ir išanalizuoti pasirinktą problemą, buvo naudojamas Afdalio karjeros planavimo inventorius (angl. Afdal Career Planning Inventory, ACPI), pasitelkiant Likerto skalę. Rezultatai parodė, kad nėra reikšmingo skirtumo karjeros planavimo aspektu tarp<br />negirdinčių mokinių vaikinų ir merginų. Taip pat buvo nustatyta, kad negirdinčių vaikinų karjeros planavimas yra iš esmės yra žemo lygio kategorijos, o merginų – vidutinio lygio kategorijos.</p>

Analysis of the School Anxiety Inventory in Brazil Using the Rasch Rating Scale Model

2014 ◽  
Vol 115 (1) ◽  
pp. 165-178
Author(s):  
Sandra M. da S. S. Oliveira ◽  
Débora C. Fernandes ◽  
Fermino F. Sisto
Keyword(s):  
Rasch Model ◽  
Rating Scale ◽  
Scale Model ◽  
Good Reliability ◽  
School Anxiety ◽  
Rasch Rating Scale Model ◽  
Dichotomous Responses ◽  
Further Development ◽  
The Rasch Model

This study assessed the quality of the items of the School Anxiety Inventory using the Rating-Scale Rasch model. The Inventory was administered to 253 grade school pupils, ranging in age from 9 to 12 yr. ( M = 10.2 yr., SD = 0.98); most were girls (52.8%). The results showed that the items and participants adequately fit the Rasch model. The average anxiety of these children was 0.32 logits ( SD = 1.60). The inventory items revealed good reliability (Item Reliability Index = 0.98; Cronbach's α = .74), and the fit indicators for the response categories were adequate for 50% of the items, while the other items revealed dichotomous responses. No item functioned differentially for boys and girls. The psychometric properties of the inventory were good enough to encourage plans for further development.

scholarly journals KOOS-JR Demonstrates Psychometric Limitations in Measuring Knee Health in Individuals After ACL Reconstruction

2018 ◽  
Vol 11 (3) ◽  
pp. 242-246 ◽  
Author(s):  
Jennifer L. Hunnicutt ◽  
Brittany N. Hand ◽  
Chris M. Gregory ◽  
Harris S. Slone ◽  
Michelle M. McLeod ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Short Form ◽  
Model Fit ◽  
Measurement Properties ◽  
Factor Analysis Model ◽  
Ceiling Effects ◽  
The Mean ◽  
The Rasch Model

Background: Measurement properties of the short form of the Knee injury and Osteoarthritis Outcome Score (KOOS-JR) are not established in individuals after anterior cruciate ligament reconstruction (ACLR). The purpose of this study was to determine the extent to which the KOOS-JR measures the construct of knee health in individuals post-ACLR using Rasch analysis. Hypothesis: The KOOS-JR will fit the Rasch model, but significant ceiling effects will be present. Study Design: Cross-sectional study. Level of Evidence: Level 3. Methods: Rasch analysis of the KOOS-JR from 166 individuals 10 months post-ACLR was conducted. Unidimensionality, a key criterion of the Rasch model, was evaluated using confirmatory factor analysis. Model fit of the rating scale, items, and persons were evaluated. Mean square fit statistics ≥1.6 and standardized z-scores ≥2.0 were indicative of person or item misfit. Additionally, reliability indicators including person reliability and separation indices were examined. Results: The KOOS-JR fit the criteria of unidimensionality. All items demonstrated model fit; however, ceiling effects were noted (n = 36; 22%). Person reliability was low (0.47). Calculation of person strata revealed that the KOOS-JR did not separate participants into more than 1 stratum. The mean person measure was 3.56 logits higher than the mean item measure, indicating that this sample is skewed toward increased knee health. Conclusion: Although the KOOS-JR represented a unidimensional construct with items and persons fitting the Rasch model, several limitations were noted: ceiling effects, low person reliability, and poor person differentiation. Ceiling effects indicate that many individuals in this sample experienced better knee health than the KOOS-JR items were able to measure. Clinical Relevance: Evaluating the measurement properties of the KOOS-JR is necessary to determine its clinical value in sports medicine. In later stages after ACLR recovery, administration of the KOOS-JR may not be adequate.

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