Applying the Rasch Model to Evaluate an Implementation of the Kentucky Electronics Education Project

Ren, Weijia; Bradley, Kelly D.; Lumpp, Janet K.

doi:10.1007/s10956-008-9132-4

Cited by 13 publications

(18 citation statements)

References 2 publications

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“…The Rasch model is a simple but at the same time very powerful Item Response Theory model for measurement, being the most viable proposition for practical testing since it can be applied in the context in which individual, soil samples, interacts with items, soil properties (Ren et al, 2008).…”

Section: The Rasch Modelmentioning

confidence: 99%

Analysis of soil fertility and its anomalies using an objective model

Moral

Rebollo

Terrón

2012

Z. Pflanzenernähr. Bodenk.

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In this work, the use of an objective method, the formulation of the Rasch measurement model, which synthesizes data with different units into a uniform analytical framework, is considered to get representative measures of soil fertility potential in an experimental field. Thus, two types of information about the soil were obtained from soil samples taken at 70 locations: first, the textural components were determined, and, secondly, deep (ECa-90) and shallow (ECa-30) soil apparent electrical conductivity, approximately 0-90 and 0-30 cm depths, respectively, were measured. A latent variable, denominated soil fertility potential, was defined. It is supposed, and later it is verified, that all soil properties previously indicated have a marked influence on the latent variable. The adequate assignment of categorical values across properties measures and the good fit of the data are checked as a previous phase to properly compute the Rasch measures. After applying the Rasch methodology, it was obtained that both electrical conductivities are the most influential properties on soil fertility potential, getting moreover a ranking of all soil samples according to their fertility potential and the unexpected behaviors, called misfits, of some soil samples, which constitute a very useful information to better match soil and crop requirements as they vary in the field, being a rational basis for a site-specific crop management.

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Section: The Rasch Modelmentioning

confidence: 99%

Analysis of soil fertility and its anomalies using an objective model

Moral

Rebollo

Terrón

2012

Z. Pflanzenernähr. Bodenk.

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“…The results represented the validation of the instrument whether it is suitable as a data collection tool [25]. Conversely, it was aimed to determine whether the instrument used is a valid tool to utilize for data collection.…”

Section: Item/person Misfit Order Tablementioning

confidence: 99%

“…Another visual guide to information regarding relative scales is the variable map [25]. Variable map is used to present the items by ranking them according to the level of difficulty to endorse as well as presenting the respondents by ranking them according to their willingness to endorse the items.…”

Section: E Variable Mapmentioning

confidence: 99%

Motivation, Psychology and Language Effect on Mobile Learning in Universiti Sains Malaysia

Ismail¹,

Idrus²,

Gunasegaran³

2010

Int. J. Interact. Mob. Technol.

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“…The results represented the validation of the instrument whether suitable or not becoming as a tool in data collection [15]. In the other words, its aim is to determine whether the instrument used is a valid tool to utilize for data collection.…”

Section: B Item/person Misfit Order Tablementioning

confidence: 99%

“…This is to reveal what are factors among the acceptable items that are mostly influence students' willingness to transfer learning in a mobile learning environment. Variable map is another visual guide to information regarding relative scales [15]. It is used to present the items by ranking them according to the level of difficulty to endorse as well as presenting the respondents by ranking them according to their willingness to endorse the items.…”

Section: Variable Mapmentioning

confidence: 99%

Mobile Learning Via SMS Among Distance Learners: Does Learning Transfer Occur?

Ramli

Ismail

Idrus

2010

Int. J. Interact. Mob. Technol.

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Abstract-The purpose of this study is to determine whether learners are willing to transfer learning in this mobile learning environment via SMS. The reason for this is to measure the effectiveness of the new method used in learning and education especially in distance education field. For this reason, students' responses are gathered which looked at three factors namely learner characteristic, learning design and learning environment. The data are gathered through a survey research design with questionnaires using five-point likert scale. The questionnaires was administered for 105 distance education students from four courses including Bachelor of Science, Bachelor of Arts, Bachelor of Social Science and Bachelor of Management. The Rasch Model Analysis was used to measure these dimensions. Rasch Model is a one-parameter logistic model within item response theory (IRT) whereby the amount of a given latent trait in a person and the amount of that same latent trait reflected in various items can be estimated independently yet still compared explicitly to one another. The result of the study showed that learning transfer occurred and being influenced most by learner's characteristics especially in term of their motivation as well as their perceive utility/value of the SMS learning to their job and academic performances.

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Applying the Rasch Model to Evaluate an Implementation of the Kentucky Electronics Education Project

Cited by 13 publications

References 2 publications

Analysis of soil fertility and its anomalies using an objective model

Analysis of soil fertility and its anomalies using an objective model

Motivation, Psychology and Language Effect on Mobile Learning in Universiti Sains Malaysia

Mobile Learning Via SMS Among Distance Learners: Does Learning Transfer Occur?

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