Developing latent constructs of dialogic interaction to examine the epistemic climate: Rasch modeling

2021 ◽  
Vol 121 (3) ◽  
pp. 164-174
Author(s):  
Yejun Bae ◽  
Gavin W. Fulmer ◽  
Brian M. Hand
Keyword(s):  
Rasch Modeling ◽  
Latent Constructs ◽  
Dialogic Interaction

Review of Psychometric Properties of Fourteen Latent Constructs from the Oregon Youth Study.

1989 ◽  
Vol 34 (12) ◽  
pp. 1150-1150
Author(s):  
No authorship indicated
Keyword(s):  
Psychometric Properties ◽  
Latent Constructs ◽  
Youth Study

Investigating Sources of Differential Item Functioning Using Mixture Rasch Modeling

2016 ◽  
Author(s):  
Hyun-Jeong Cho ◽  
Jaehoon Lee ◽  
Esteban Montenegro-Montenegro ◽  
Neal Kingston
Keyword(s):  
Differential Item Functioning ◽  
Rasch Modeling ◽  
Item Functioning

Measuring dynamic goals for marriage: Development and validation of the Marital Goal Scale using Rasch modeling.

2020 ◽  
Vol 32 (3) ◽  
pp. 211-226
Author(s):  
Tianyuan Li ◽  
Vivian Hiu-Ling Tsang ◽  
Helene H. Fung ◽  
Xue-Lan Qiu ◽  
Wen-Chung Wang
Keyword(s):  
Rasch Modeling ◽  
Development And Validation

Inferring Latent Constructs from Passive Datasets – Significance and Opportunities

2018 ◽  
Author(s):  
Ashok Sekar ◽  
Varun Rai
Keyword(s):  
Latent Constructs

Item Response Theory and Music Testing

2019 ◽  
pp. 477-503
Author(s):  
Brian Wesolowski
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Test Scores ◽  
General Framework ◽  
Logistic Function ◽  
Response Theory ◽  
Measurement Models ◽  
Latent Constructs ◽  
Item Parameters ◽  
Introductory Overview

This chapter presents an introductory overview of concepts that underscore the general framework of item response theory. “Item response theory” is a broad umbrella term used to describe a family of mathematical measurement models that consider observed test scores to be a function of latent, unobservable constructs. Most musical constructs cannot be directly measured and are therefore unobservable. Musical constructs can therefore only be inferred based on secondary, observable behaviors. Item response theory uses observable behaviors as probabilistic distributions of responses as a logistic function of person and item parameters in order to define latent constructs. This chapter describes philosophical, theoretical, and applied perspectives of item response theory in the context of measuring musical behaviors.

scholarly journals Testing the Youth Physical Activity Promotion Model during the COVID-19 Pandemic, with Partial Least Squares Second-Order Latent Constructs

2021 ◽  
Vol 18 (12) ◽  
pp. 6398
Author(s):  
Elena Druică ◽  
Rodica Ianole-Călin ◽  
Monica Sakizlian ◽  
Daniela Aducovschi ◽  
Remus Dumitrescu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Least Squares ◽  
Partial Least Squares ◽  
Online Survey ◽  
Physical Activity Promotion ◽  
Second Order ◽  
Latent Constructs ◽  
Activity Promotion ◽  
Youth Physical Activity ◽  
Mediating Mechanisms

We tested the Youth Physical Activity Promotion (YPAP) framework on Romanian students in order to identify actionable determinants to support participation in physical activity. Our sample consisted of 665 responses to an online survey, with participants aged 18–23 (mean = 19 years); 70% were women. We used the partial least squares algorithm to estimate the relationships between students’ behavior and possible predictors during the COVID-19 pandemic. Our results indicate that all the theoretical dimensions of YPAP (predisposing, enabling and reinforcing) have a positive and significant impact on physical activity, with two mediating mechanisms expressed as predisposing factors: able and worth. Unlike previous research, we used second-order latent constructs, unveiling a particular structure for the enabling dimension that only includes sport competence, fitness and skills, but not the environmental factors.

scholarly journals The effects of greening the supplier and innovation on environmental performance and competitive advantage

2013 ◽  
Vol 7 (1) ◽  
Author(s):  
Unine Van den Berg ◽  
Jean-Pierre Labuschagne ◽  
Hugo Van den Berg
Keyword(s):  
South Africa ◽  
Competitive Advantage ◽  
Environmental Performance ◽  
Competitive Advantages ◽  
Latent Constructs ◽  
Confirmatory Factor ◽  
Environmental Goals ◽  
The City ◽  
Strength Of Association ◽  
Managerial Innovation

Companies in South Africa should realise the important influence of greening their suppliers and of innovation to achieve environmental goals and competitive advantages. In order to prove this, a questionnaire survey was conducted with 75 companies from 11 industries in the City of Johannesburg Metropolitan Municipality region, South Africa. A confirmatory factor analysis was done, followed by bivariate correlations to determine the strength of association between the latent constructs. Correlations between greening the supplier, innovation, environmental performance and competitive advantages were done. The research found that a green innovative process had a significant effect on environmental performance. Green managerial innovation further had a significant correlation with competitive advantage. The primary result of the study indicated that all the constructs positively related to each other, meaning that greening suppliers, by means of green innovation, leads to an enhanced environmental performance and to competitive advantages.

You Can't Judge a Measure by Its Label: Teaching the Process of Instrumentation

1998 ◽  
Vol 25 (2) ◽  
pp. 121-123
Author(s):  
Jennifer Howard Brockway ◽  
Fred B. Bryant
Keyword(s):  
Theoretical Construct ◽  
Graduate Courses ◽  
Instrument Selection ◽  
Latent Constructs ◽  
Multiple Dimensions ◽  
Computer Based

In this article, we describe an exercise in instrument selection applicable to both undergraduate and graduate courses. The exercise consists of 5 progressive steps that involve choosing and defining a theoretical construct (Steps 1 and 2), using computer-based technology to obtain 2 distinct instruments that measure this construct (Steps 3 and 4), and comparing and contrasting these 2 instruments along multiple dimensions (Step 5). This activity generates awareness of the issues involved in measuring latent constructs and teaches at least 3 lessons: (a) The 1st step to accurate instrumentation is precisely conceptualizing the construct of interest; (b) there is more than 1 way to measure latent constructs, and these multiple approaches should be compared; and (c) it is crucial to measure a construct in a way that best matches its underlying definition.

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