Less Time, Better Quality. Shortening Questionnaires to Assess Team Environment and Goal Orientation

2013 ◽  
Vol 16 ◽  
Author(s):  
Saül Alcaraz ◽  
Carme Viladrich ◽  
Miquel Torregrosa
Keyword(s):  
Goal Orientation ◽  
Structural Equation ◽  
Missing Values ◽  
Short Form ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Short Forms ◽  
Team Environment ◽  
Confirmatory Factor

AbstractWhen assessing team environments in youth sport, participants often spend substantial time responding to lots of items in questionnaires, causing a lack of efficiency (i.e. time and effort) and a decrease of data quality. The purpose of this work was to create short-forms of the questionnaires PeerMCYSQ, SCQPeer, TEOSQ, and also to analyse the existing short-form of the SCQCoach. In Study 1 we developed the short-forms of the instruments. We shortened the questionnaires by using both theory driven and data-driven criteria. In Study 2, we used also qualitative and quantitative data with the aim of validating the short-forms. Finally, in Study 3 we tested the last version of the short-forms and sought evidences concerning their criterion validity. The results showed evidence that supports the psychometric merit of these short-forms: (a) significantly less missing values were obtained; (b) all the factors obtained alpha values above .70; (c) confirmatory factor analyses demonstrated that the short-forms fitted the hypothesized models well; (d) correlations between variables were coherent with expectations, and (e) structural equation modeling results showed significant paths consistent with previous literature. On average, our participants only spent a third of the time used to complete the original questionnaires.

scholarly journals Entwicklung eines neuen multidimensionalen Fragebogens zur Erfassung der Partnerschaftsqualität (FPQ)

2010 ◽  
Vol 22 (2) ◽  
pp. 242-255
Author(s):  
Andrea Siffert ◽  
Guy Bodenmann
Keyword(s):  
Relationship Quality ◽  
Convergent Validity ◽  
Structural Equation ◽  
Dimensional Structure ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Close Relationship ◽  
Internal Scale

Background: Research on couples is receiving increased attention. There are some questionnaires assessing relationship quality available in German. However, they are not assessing all relevant dimensions of relationship quality. Therefore, an alternative questionnaire to measure relationship quality (FPQ) is presented in this study. Methods: The measure was tested with a total of 244 adults, who were all in a close relationship at that time. The dimensional structure was tested with exploratory and confirmatory factor analyses. Results: Scale analyses revealed a questionnaire consisting of six subscales (fascination, commitment, sexuality, future of the partnership, mistrust, and constraint autonomy). The internal scale consistencies vary between .78 and .92. Additionally, by using structural equation modeling, a superior factor relationship quality was found. The discriminative validity was confirmed by a group comparison (satisfied and unsatisfied people). Moderate to high correlations with a traditional questionnaire measuring relationship quality and other relevant constructs indicate satisfying convergent validity. Zusammenfassung Hintergrund: Im deutschen Sprachraum kommt der Partnerschaftsforschung zusehends mehr Gewicht zu. Zwar gibt es im deutschsprachigen Raum einige Fragebögen zur Messung der Partnerschaftsqualität, diese erfassen aber nicht alle relevanten Dimensionen. Deshalb wird in der vorliegenden Studie als Ergänzung zu den bisherigen Fragebögen ein neues Instrument zur Messung der Partnerschaftsqualität (FPQ) vorgestellt. Methodik: Der Fragebogen wurde an einer Stichprobe von 244 Personen getestet, die sich zum Zeitpunkt der Erhebung in einer Partnerschaft befanden. Die dimensionale Struktur wurde mittels explorativer und konfirmatorischer Faktorenanalysen geprüft. Ergebnisse: Die faktorielle Validitätsprüfung ergab einen Fragebogen bestehend aus sechs Subskalen (Faszination, Engagement für die Beziehung, Sexualität in der Beziehung, Zukunftsperspektive der Beziehung, Misstrauen gegenüber dem Partner und Einschränkung der Freiheit/Unabhängigkeit). Die interne Konsistenz der sechs Subskalen liegt zwischen .75 und .94. Zusätzlich liess sich ein übergeordneter Faktor Partnerschaftsqualität konstruieren. Die diskriminative Validität wurde durch einen Gruppenvergleich (zufriedene und unzufriedene Personen) bestätigt. Die moderaten bis hohen Korrelationen des neuen Fragebogens mit dem Partnerschaftsfragebogen PFB zur Messung der Partnerschaftsqualität und anderen relevanten Konzepten unterstützen die konvergente Validität.

scholarly journals Validation of a measuring scale of the expectations of millennials at work, the Mexican case

2020 ◽  
Vol 22 (2) ◽  
pp. 178
Author(s):  
María Teresa De la garza carranza ◽  
Jorge Armando López Lemus ◽  
Eugenio Guzmán Soria ◽  
Quetzalli Atlatenco Ibara
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Second Order ◽  
High Rate ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Social Commitment ◽  
First Order ◽  
Confirmatory Factor

Today the retention millennial workers is a challenge for organizations. The purpose of this paper is to propose ideas to the decision makers, to lessen the high rate of personnel turnover in all kinds of industries in many countries. This research validates an instrument that evaluates the employability factors of millennials in Mexico, according to their own expectations. We based our study on the previous literature about the millennial generation in many countries. To validate the questionnaire, a sampling of 781 workers from the states of Querétaro and Guanajuato in México was conducted. The method used to achieve the objective was through exploratory and confirmatory factor analyses. The confirmatory factor analysis was conducted using structural equation modeling, and tested two different methods: first order and second order models. With the three methods, exploratory, first order and second order factor analyses, similar results were obtained. In the analysis of the statistical techniques, two latent variables associated with the expectations of this generational group were generated. The factors found are “personal satisfaction with the organization” and “satisfaction with the organization’s social commitment.” These two factors are supported by the literature of other researchers. It is suggested that this questionnaire be validated in other countries but also in other regions of Mexico, using different productive sectors, thereby obtaining a broader perspective that will allow us to understand not only what millennials want from their work, but to what extent they want it.

Emotional intelligence in older adults: psychometric properties of the TMMS-24 and relationship with psychological well-being and life satisfaction

2017 ◽  
Vol 29 (8) ◽  
pp. 1327-1334 ◽  
Author(s):  
I. Delhom ◽  
M. Gutierrez ◽  
B. Lucas-Molina ◽  
J. C. Meléndez
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Emotional Intelligence ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Psychological Well Being ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

ABSTRACTBackground:Aging is a process during which important changes occur in different areas of development and emotional intelligence plays an essential role. The objective of this study was twofold: first, to validate the TMMS-24 in an older population; and second, to examine the mediating role of life satisfaction in the relationship between emotional intelligence and psychological well-being.Methods:The sample consisted of 215 older adults (60.15% women) with a mean age of 69.56 (SD = 6.42), without cognitive impairment. Data on emotional intelligence, satisfaction with life, and psychological well-being were obtained through the TMMS-24, the SWLS, and Ryff's psychological well-being scales, respectively. Confirmatory factor analyses and structural equation modeling were conducted.Results:Confirmatory factor analyses confirmed the three-dimensional structure of the TMMS-24. The total scale showed an internal consistency of 0.90, ranging from 0.84 to 0.85 for the subscales. Structural equation modeling indicated that emotional intelligence exerted an influence on psychological well-being both directly and indirectly through life satisfaction.Conclusions:These findings show that the TMMS-24 has adequate psychometric properties for assessing emotional intelligence in elderly participants, and they indicate that emotional intelligence influences cognitive and affective judgments of life satisfaction, with these judgments of life satisfaction predicting psychological well-being.

Promotion Orientation Explains Why Future-Oriented People Exercise and Eat Healthy

2012 ◽  
Vol 38 (10) ◽  
pp. 1272-1287 ◽  
Author(s):  
Jeff Joireman ◽  
Monte J. Shaffer ◽  
Daniel Balliet ◽  
Alan Strathman
Keyword(s):  
Individual Differences ◽  
Regulatory Focus ◽  
Structural Equation ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Consideration Of Future Consequences ◽  
Confirmatory Factor ◽  
Future Consequences ◽  
Promotion Orientation

The authors extended research linking individual differences in consideration of future consequences (CFC) with health behaviors by (a) testing whether individual differences in regulatory focus would mediate that link and (b) highlighting the value of a revised, two-factor CFC-14 scale with subscales assessing concern with future consequences (CFC-Future) and concern with immediate consequences (CFC-Immediate) proper. Exploratory and confirmatory factor analyses of the revised CFC-14 scale supported the presence of two highly reliable factors (CFC-Future and CFC-Immediate; αs from .80 to .84). Moreover, structural equation modeling showed that those high in CFC-Future engage in exercise and healthy eating because they adopt a promotion orientation. Future use of the two-factor CFC-14 scale is encouraged to shed additional light on how concern with future and concern with immediate consequences (proper) differentially impact the way people resolve a host of intertemporal dilemmas (e.g., health, financial, and environmental behavior).

The General Factor of Well-Being: Multinational Evidence Using Bifactor ESEM on the Mental Health Continuum–Short Form

Assessment ◽  
2017 ◽  
Vol 27 (3) ◽  
pp. 596-606 ◽  
Author(s):  
Ylenio Longo ◽  
Veljko Jovanović ◽  
Joana Sampaio de Carvalho ◽  
Dominika Karaś
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Short Form ◽  
Well Being ◽  
Total Sample ◽  
Equation Modeling ◽  
General Factor ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Competing Models

The Mental Health Continuum–Short Form (MHC-SF) is a widely used scale aimed at assessing three components of well-being: emotional, social, and psychological. The factor structure of the MHC-SF has been under debate over the past 10 years. The main goal of the present study was to examine the dimensionality of the MHC-SF. Confirmatory factor analyses (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were used to evaluate competing models of the MHC-SF structure. The total sample consisted of 7,521 participants from four countries: The Netherlands, Poland, Portugal, and Serbia. The results indicated that the three CFA factors were very highly related, and that a bifactor ESEM model provided the best fit to the data in all samples. Our findings provided support for the bifactor structure of well-being with a strong general factor explaining most of the variance in the items.

scholarly journals Satisfied, but Will They Spread a Word? The Role of Customer Satisfaction at Jamu Café

2018 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Usep Suhud ◽  
Sheila Maryam Bajunaid
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Equation Model ◽  
Repurchase Intention ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

This research aimed to investigate consumers’ intention to repurchase jamu at Jamu Café. Service quality, customer satisfaction, and Word-of-Mouth (WOM) were selected as the predictor variables. In total, 200 participants who purchased jamu at the café were selected conveniently. Data were analyzed using exploratory and confirmatory factor analyses as well as Structural Equation Model (SEM). As a result, service quality influences customer satisfaction significantly. As customers are satisfied, they do word-of-mouth and repurchase. On the other hand, WOM has an insignificant impact on repurchase intention.

Observing Classroom Engagement in Community College

2016 ◽  
Vol 38 (4) ◽  
pp. 757-782 ◽  
Author(s):  
Stacey Alicea ◽  
Carola Suárez-Orozco ◽  
Sukhmani Singh ◽  
Tasha Darbes ◽  
Elvira Julia Abrica
Keyword(s):  
Community Colleges ◽  
Structural Equation ◽  
Classroom Engagement ◽  
Student Survey ◽  
Factor Analyses ◽  
Validity And Reliability ◽  
Learning And Development ◽  
Confirmatory Factor Analyses ◽  
Measurement Protocol ◽  
Confirmatory Factor

Despite decades of research indicating classrooms shape student engagement, learning, and development, there is a dearth of empirically grounded research focusing specifically on observed classroom engagement as a predictor of student outcomes in community colleges. This article describes the development of a qualitatively grounded, quantitative classroom-level engagement measurement protocol designed for this purpose. We provide evidence for the measure’s validity and reliability via confirmatory factor analyses and descriptive analyses that offer a snapshot of the information this measure can generate. Furthermore, we examine a two-level structural equation regression model that uses student survey data from students nested in observed classrooms. We then review our results in light of the relevance this measure has for researchers and educators in community colleges.

Investigating the Structure of the Pediatric Symptoms Checklist in the Preschool Setting

2016 ◽  
Vol 35 (5) ◽  
pp. 494-505 ◽  
Author(s):  
Christine DiStefano ◽  
Jin Liu ◽  
Yin Burgess
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Short Form ◽  
School Setting ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Psychological Instruments ◽  
Preschool Setting

When using educational/psychological instruments, psychometric investigations should be conducted before adopting to new environments to ensure that an instrument measures the same constructs. Exploratory structural equation modeling and confirmatory factor analysis methods were used to examine the utility of the short form of the Pediatric Symptoms Checklist (PSC-17) in the school setting. Using a sample of 836 preschool children rated by teachers, three factors were identified across both techniques, with factors matching the hypothesized structure of the instrument. The PSC-17 may be an option for use in preschool settings when conducting behavioral and emotional screening.

scholarly journals The structural equation modeling of reading interest psycho-behavioural constructs: How are they related across different modes of reading?

2017 ◽  
Vol 3 (1) ◽  
pp. 50
Author(s):  
Nur Hidayanto Pancoro Setyo Putro ◽  
Jihyun Lee
Keyword(s):  
Undergraduate Students ◽  
Structural Equation ◽  
A Priori ◽  
Theory Development ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Student Reading ◽  
Components Of Reading ◽  
Reading Interest

The present study examines the relationships between the psycho-behavioral constructs underlying undergraduate students’ reading interest. The a priori framework for conceptualizing the sub-components of reading interest is based on two modes of reading (printed-text-based and also Internet-based), and three types of psycho-behavioral motives/intentions of reading (affective, cognitive, and behavioral). Participants in this study were students (M = 20.14 years old) from an Indonesian university (n = 993). Exploratory and confirmatory factor analyses show the salience of 10 factors across reading modes and psycho-behavioral domains of reading. The most accept-able SEM models that explore the relationships among the sub-components of reading interest have the student reading interest in the print mode preceded interest in reading online materials. Implications of these findings are discussed for theory development and practice.

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