Evaluating Construct Validity and Reliability of Intention to Transfer Training Conduct Instrument Using Rasch Model Analysis
30 Jun 2021-Pertanika journal of social science and humanities (Universiti Putra Malaysia)-Vol. 29, Iss: 2
About: This article is published in Pertanika journal of social science and humanities.The article was published on 2021-06-30 and is currently open access. It has received None citations till now. The article focuses on the topics: Reliability (statistics) & Rasch model.
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Book•
01 Apr 2001
TL;DR: This volume contends that Rasch measurement is the model of choice because it is the closest to realizing the sort of objective fundamental measurement so long revered in the physical sciences.
Abstract: For many researchers, the Rasch model provides a very practical solution to data analysis in the social sciences. This volume contends that Rasch measurement is the model of choice because it is the closest to realizing the sort of objective fundamental measurement so long revered in the physical sciences. Trevor Bond has worked with leading Rasch theoreticians for more than 15 years, advising developmentalists and teachers on how to conduct and interpret Rasch analyses of their own data. After each of his many research presentations, Dr. Bond was asked to recommend a suitable text for those who wish to learn more about Rasch analysis. Unfortunately, the books published to date require a significant knowledge of statistics and not easily accessible to many practicing researchers. This lack of a suitable introductory text is the driving force behind this book.
The goals of this authored volume are:
* to present an accessible overview of the basic properties and principles of Rasch analysis, that does not require a sophisticated statistical background,
* to demonstrate how Rasch analysis can be applied to a number of generic problems encountered by psychologists and educators, and
* to prepare readers for performing their own analyses and interpreting the results.
This book is ideal for all researchers in the human sciences interested in learning how to actually implement the Rasch model with their own data.
4,482 citations
TL;DR: The socio-economic effects of COVID-19 on individual aspects of the world economy are summarised to show the need for medical supplies has significantly increased and the food sector has seen a great demand due to panic-buying and stockpiling of food products.
4,060 citations
TL;DR: In this article, the effects of training design, trainee, and work-environment factors on conditions of transfer are reviewed and critiqued, including the need to test various operationalizations of training and work environment factors that have been posited as having an impact on transfer.
Abstract: Transfer of training is of paramount concern for training researchers and practitioners. Despite research efforts, there is a growing concern over the “transfer problem.” The purpose of this paper is to provide a critique of the existing transfer research and to suggest directions for future research investigations. The conditions of transfer include both the generalization of learned material to the job and the maintenance of trained skills over a period of time on the job. The existing research examining the effects of training design, trainee, and work-environment factors on conditions of transfer is reviewed and critiqued. Research gaps identified from the review include the need to (1) test various operationalizations of training design and work-environment factors that have been posited as having an impact on transfer and (2) develop a framework for conducting research on the effects of trainee characteristics on transfer. Needed advancements in the conceptualization and operationalization of the criterion of transfer are also discussed.
3,059 citations
Book•
01 Jun 2010TL;DR: The three-volume Encyclopedia of Research Design elucidates how one makes decisions about research design, interprets data and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results.
Abstract: Research design, with its statistical underpinnings, can be especially daunting for students and novice researchers. At its heart, research design might be described simply as a formalized approach toward problem solving, thinking, and acquiring knowledge, the success of which depends upon clearly defined objectives and appropriate choice of statistical design and analysis to meet those objectives. Our three-volume Encyclopedia of Research Design elucidates how one makes decisions about research design, interprets data and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete and incomplete block designs, Latin square and related designs, hierarchical designs, response surface designs, split-plot designs, repeated measures designs, crossover designs, analysis of covariance, statistical software packages, and much more.
893 citations
TL;DR: Evidence-based practice includes, in part, implementation of the findings of well-conducted quality research studies, so being able to critique quantitative research is an important skill for nurses.
Abstract: Evidence-based practice includes, in part, implementation of the findings of well-conducted quality research studies. So being able to critique quantitative research is an important skill for nurses. Consideration must be given not only to the results of the study but also the rigour of the research. Rigour refers to the extent to which the researchers worked to enhance the quality of the studies. In quantitative research, this is achieved through measurement of the validity and reliability.1
Validity is defined as the extent to which a concept is accurately measured in a quantitative study. For example, a survey designed to explore depression but which actually measures anxiety would not be considered valid. The second measure of quality in a quantitative study is reliability , or the accuracy of an instrument. In other words, the extent to which a research instrument consistently has the same results if it is used in the same situation on repeated occasions. A simple example of validity and reliability is an alarm clock that rings at 7:00 each morning, but is set for 6:30. It is very reliable (it consistently rings the same time each day), but is not valid (it is not ringing at the desired time). It's important to consider validity and reliability of the data collection tools (instruments) when either conducting or critiquing research. There are three major types of validity. These are described in table 1.
View this table:
Table 1
Types of validity
The first category is content validity . This category looks at whether the instrument adequately covers …
821 citations