The Meaning of Higher-Order Factors in Reflective-Measurement Models

2014 ◽  
Vol 12 (3) ◽  
pp. 96-101 ◽  
Author(s):  
Michael Eid ◽  
Tobias Koch
Keyword(s):  
Higher Order ◽  
Measurement Models ◽  
Reflective Measurement

scholarly journals Higher-Order PLS-PM Approach for Different Types of Constructs

2020 ◽  
Author(s):  
Corrado Crocetta ◽  
Laura Antonucci ◽  
Rosanna Cataldo ◽  
Roberto Galasso ◽  
Maria Gabriella Grassia ◽  
...  
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Higher Order ◽  
Complex Phenomenon ◽  
Path Modeling ◽  
Empirical Application ◽  
Measurement Models ◽  
Different Types ◽  
Complex Models ◽  
Reflective Measurement

AbstractPartial least squares path modeling (PLS-PM) has become very popular in recent years, for measuring concepts that depend on different aspects and that are based on different types of relationships. PLS-PM represents a useful tool to explore relationships and to analyze the influence of the different aspects on the complex phenomenon analyzed. In particular, the use of higher-order constructs has allowed researchers to extend the application of PLS-PM to more advanced and complex models. In this work, our attention is focused on higher-order constructs that include reflective or formative relationships. Even if the dispute between formative models and reflective models is not exactly recent, it is still alive in current literature, for the most part within the context of structural equation models. This paper focuses attention on theoretical and mathematical differences between formative and reflective measurement models within the context of the PLS-PM approach. A simulation study is proposed in order to show how these approaches fit well in different modeling situations. The approaches have been compared using empirical application in a sustainability context. The findings from the simulation and the empirical application can help researchers to estimate and to use the higher-order PLS-PM approach in reflective and formative type models.

Preliminary Validation of the Teacher-Rated DESSA in a Low-Income, Kindergarten Sample

2017 ◽  
Vol 37 (1) ◽  
pp. 40-54 ◽  
Author(s):  
Justin B. Doromal ◽  
Elizabeth A. Cottone ◽  
Helyn Kim
Keyword(s):  
Low Income ◽  
Assessment Tool ◽  
Factor Model ◽  
Higher Order ◽  
Emotional Learning ◽  
Future Research ◽  
Social Emotional ◽  
Confirmatory Factor Analyses ◽  
Social And Emotional ◽  
Measurement Models

This study investigated the measurement of social emotional competence in low-income youth by assessing the validity of responses derived from the widely used, teacher-rated Devereux Student Strengths Assessment (DESSA). Based on the five-component social emotional learning model proposed by the Collaborative for Academic, Social, and Emotional Learning, the teacher-rated DESSA shows promise as an easy-to-administer, strengths-based assessment tool for teachers from low-income communities. In a sample of 313 kindergarten students from a southeastern city, three competing measurement models were tested (one-factor, correlated five-factor, and higher order five-factor) using confirmatory factor analyses. Results revealed that, relative to the one-factor model, the higher order five-factor framework had the best model-data fit, although the first-order factors were highly correlated with the second-order factor. Furthermore, zero-order correlations showed that the DESSA was associated with both direct and teacher-reported measures of school-related outcomes. Implications for practice and directions for future research are discussed.

scholarly journals Evaluation of Reflective Measurement Models

2021 ◽  
pp. 75-90
Author(s):  
Joseph F. Hair ◽  
G. Tomas M. Hult ◽  
Christian M. Ringle ◽  
Marko Sarstedt ◽  
Nicholas P. Danks ◽  
...  
Keyword(s):  
Convergent Validity ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Internal Consistency Reliability ◽  
Measurement Model ◽  
Path Model ◽  
Model Assessment ◽  
Measurement Models ◽  
Reflective Measurement ◽  
Composite Reliability

AbstractThe goal of reflective measurement model assessment is to ensure the reliability and validity of the construct measures and therefore provides support for the suitability of their inclusion in the path model. This chapter introduces the key criteria that are relevant in reflective measurement model assessment: indicator reliability, internal consistency reliability (Cronbach’s alpha, reliability coefficient rhoA, and composite reliability rhoC), convergent validity, and discriminant validity. We illustrate their use by means of the SEMinR package and a well-known model on corporate reputation.

scholarly journals Assessment of Readiness and Usability of Information Systems Use

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Dwi Yuniarto ◽  
A’ang Subiyakto ◽  
Aedah Binti Abd. Rohman ◽  
Reny Rian Marliana
Keyword(s):  
Information Systems ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Structural Model ◽  
Internal Consistency Reliability ◽  
Integration Model ◽  
Measurement Models ◽  
Reliability Indicator ◽  
Information Systems Use ◽  
Reflective Measurement

The assessment of the use of information systems has been carried out by many researchers. This research was conducted in Private Universities in Indonesia, which currently involve many information systems in many ways, especially those related to the management of Higher Education, by measuring the readiness and usability of the use of information systems with models that I build from the integration of two models. The results of the measurement of this study were obtained from the distribution of questionnaires, there were 47% of respondents who filled 61-80% of the level of IS usage and 68% of respondents stated their readiness in the level of readiness to use IS. The stage consists of evaluating reflective measurement models and structural model assessments. Evaluating reflective measurement in evaluating internal consistency reliability using Composite Reliability, Reliability Indicator, Convergent Validity, and Discriminant Validity, finally concluded that the use of the Readiness and Usability integration model can be forwarded to a more complex research stage and can use the questionnaire.

Formative and reflective measurement models for analysing transit service quality

2017 ◽  
Vol 10 (1) ◽  
pp. 107-127 ◽  
Author(s):  
Laura Eboli ◽  
Carmen Forciniti ◽  
Gabriella Mazzulla
Keyword(s):  
Service Quality ◽  
Transit Service ◽  
Measurement Models ◽  
Reflective Measurement

Formative versus reflective measurement models: Two applications of formative measurement

2008 ◽  
Vol 61 (12) ◽  
pp. 1250-1262 ◽  
Author(s):  
Tim Coltman ◽  
Timothy M. Devinney ◽  
David F. Midgley ◽  
Sunil Venaik
Keyword(s):  
Formative Measurement ◽  
Measurement Models ◽  
Reflective Measurement

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

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