Data of the Constructivist Practices in the Learning Environment survey from engineering undergraduates: An exploratory factor analysis

Background and PurposeThis study tested the psychometrics of the Clinical Learning Environment Inventory (CLEI—actual version), a tool designed to measure the perceptions of nursing students' clinical learning. The developer of the CLEI did not report structural validity.MethodExploratory factor analysis (EFA) was performed using data from 311 licensure nursing students to assess the CLEI's proposed dimensions or structural validity.ResultsThe Kaiser–Meyer–Olkin (KMO) test indicated acceptable sampling adequacy. Analysis of four different models, while retaining items with factor loadings >0.35, resulted in a four-factor solution with 32 items. The factors were renamed: Concern for Student Welfare (the highest weighted factor); Organized/Effective Teaching; Enjoyment of Clinical Learning; and Student Decision-Making.ConclusionsThis study suggests that the 32 item four-factor CLEI is sufficiently structurally valid and reliable for further testing.

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Exploratory Factor Analysis of the Indonesian Version of the Clinical Learning Environment, Supervision, and Nurse Teacher Scale (CLES + T)

Journal of Nursing Measurement ◽

10.1891/jnm-d-19-00067 ◽

2021 ◽

pp. JNM-D-19-00067

Author(s):

Christine L. Sommers ◽

Ian Ruddy Mambu ◽

Lisa McKenna ◽

Sonia Reisenhofer ◽

Julie McCaughan

Keyword(s):

Factor Analysis ◽

Nursing Students ◽

Learning Environment ◽

Psychometric Properties ◽

Exploratory Factor Analysis ◽

Reliability And Validity ◽

Clinical Learning ◽

Clinical Learning Environment ◽

Cronbach’S Alpha ◽

Cronbach's Alpha

Background and PurposeThe purpose of this article is to describe an evaluation of psychometric properties of the Indonesian version of the Clinical Learning Environment, Supervision, and Nurse Teacher (CLES + T) scale, a scale that measures nursing students' perceptions of their clinical learning environment.MethodsThe CLES + T was completed by 292 nursing students. Inter-item correlations, exploratory factor analysis, Cronbach's alpha, and evidence of validity were used to examine reliability and validity.ResultsFour factors were extracted that explained 58% of the variance. Cronbach alphas ranged from .86–.95. Wording to describe different titles of supervisors was unclear to some of the participants.ConclusionThe Indonesian version of the CLES + T is a reliable version. More research is needed to clarify some of the wording.

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Exploratory Factor Analysis of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T)

Journal of Nursing Measurement ◽

10.1891/1061-3749.22.1.164 ◽

2014 ◽

Vol 22 (1) ◽

pp. 164-180 ◽

Cited By ~ 9

Author(s):

Paul Barry Watson ◽

Philippa Seaton ◽

Deborah Sims ◽

Isabel Jamieson ◽

Jane Mountier ◽

...

Keyword(s):

Factor Analysis ◽

New Zealand ◽

Learning Environment ◽

Construct Validity ◽

Learning Environments ◽

Exploratory Factor Analysis ◽

Clinical Learning ◽

Clinical Learning Environment ◽

Internal Reliability ◽

Cronbach's Alpha

Background and Purpose: The Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) scale measures student nurses’ perceptions of clinical learning environments. This study evaluates the construct validity and internal reliability of the CLES+T in hospital settings in New Zealand. Comparisons are made between New Zealand and Finnish data. Methods: The CLES+T scale was completed by 416 Bachelor of Nursing students following hospital clinical placements between October 2008 and December 2009. Construct validity and internal reliability were assessed using exploratory factor analysis and Cronbach’s alpha. Results: Exploratory factor analysis supports 4 factors. Cronbach’s alpha ranged from .82 to .93. All items except 1 loaded on the same factors found in unpublished Finnish data. The first factor combined 2 previous components from the published Finnish component analysis and was renamed: connecting with, and learning in, communities of clinical practice. The remaining 3 factors (Nurse teacher, Supervisory relationship, and Leadership style of the manager) corresponded to previous components and their conceptualizations. Conclusion: The CLES+T has good internal reliability and a consistent factor structure across samples. The consistency across international samples supports faculties and hospitals using the CLES+T to benchmark the quality of clinical learning environments provided to students.

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Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽

10.1024/1662-9647/a000114 ◽

2014 ◽

Vol 27 (4) ◽

pp. 171-179 ◽

Cited By ~ 6

Author(s):

Laurence M. Solberg ◽

Lauren B. Solberg ◽

Emily N. Peterson

Keyword(s):

Factor Analysis ◽

Exploratory Factor Analysis ◽

Social Worker ◽

Resource Availability ◽

Well Being ◽

Sandwich Generation ◽

Item Questionnaire ◽

Significant Difference ◽

Adult Caregivers ◽

The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

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The Hierarchical Model of Exercise Dependence

Journal of Individual Differences ◽

10.1027/1614-0001/a000172 ◽

2015 ◽

Vol 36 (4) ◽

pp. 247-257 ◽

Cited By ~ 1

Author(s):

Gayatri Kotbagi ◽

Laurence Kern ◽

Lucia Romo ◽

Ramesh Pathare

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Physical Exercise ◽

Exploratory Factor Analysis ◽

Convergent Validity ◽

Large Population ◽

Assessment Tools ◽

Negative Consequences ◽

Confirmatory Factor ◽

Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

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Subclinical Sadism and the Dark Triad

Journal of Individual Differences ◽

10.1027/1614-0001/a000284 ◽

2019 ◽

Vol 40 (3) ◽

pp. 127-133 ◽

Cited By ~ 6

Author(s):

Laura K. Johnson ◽

Rachel A. Plouffe ◽

Donald H. Saklofske

Keyword(s):

Factor Analysis ◽

University Students ◽

Personality Traits ◽

Exploratory Factor Analysis ◽

Convergent Validity ◽

Dark Triad ◽

Antisocial Personality ◽

Factor Solution ◽

Online Study ◽

Antisocial Personality Traits

Abstract. The Dark Triad is a constellation of three antisocial personality traits: Machiavellianism, narcissism, and psychopathy. Recently, researchers have introduced a “Dark Tetrad” that includes subclinical sadism, although others suggest considerable overlap between psychopathy and sadism. To clarify the position of sadism within the Dark Triad, an online study was conducted with 615 university students. Exploratory factor analysis revealed that a six-factor solution fit the data best, representing Machiavellianism, psychopathy, physical sadism, verbal sadism, narcissism, and vicarious sadism. Furthermore, convergent validity was supported through sadism’s correlations with the HEXACO personality traits. The results support sadism’s inclusion within the Dark Tetrad as a unique construct but with some conceptual overlap with psychopathy.

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Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000016 ◽

2010 ◽

Vol 26 (2) ◽

pp. 116-121 ◽

Cited By ~ 6

Author(s):

Fawzi S. Daoud ◽

Amjed A. Abojedi

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Exploratory Factor Analysis ◽

Clinical Sample ◽

Brief Symptom Inventory ◽

Factorial Structure ◽

Symptom Inventory ◽

Confirmatory Factor ◽

Item Checklist ◽

General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

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A Comparison of Simple Structure Rotation Criteria in Temporal Exploratory Factor Analysis for Event-Related Potential Data

Methodology ◽

10.1027/1614-2241/a000175 ◽

2019 ◽

Vol 15 (Supplement 1) ◽

pp. 43-60 ◽

Cited By ~ 3

Author(s):

Florian Scharf ◽

Steffen Nestler

Keyword(s):

Factor Analysis ◽

Exploratory Factor Analysis ◽

Simple Structure ◽

Ground Truth ◽

Event Related Potential ◽

Suitable Alternative ◽

Factor Rotation ◽

Rotation Methods ◽

Simple Structure Rotation ◽

Temporal Overlap

Abstract. It is challenging to apply exploratory factor analysis (EFA) to event-related potential (ERP) data because such data are characterized by substantial temporal overlap (i.e., large cross-loadings) between the factors, and, because researchers are typically interested in the results of subsequent analyses (e.g., experimental condition effects on the level of the factor scores). In this context, relatively small deviations in the estimated factor solution from the unknown ground truth may result in substantially biased estimates of condition effects (rotation bias). Thus, in order to apply EFA to ERP data researchers need rotation methods that are able to both recover perfect simple structure where it exists and to tolerate substantial cross-loadings between the factors where appropriate. We had two aims in the present paper. First, to extend previous research, we wanted to better understand the behavior of the rotation bias for typical ERP data. To this end, we compared the performance of a variety of factor rotation methods under conditions of varying amounts of temporal overlap between the factors. Second, we wanted to investigate whether the recently proposed component loss rotation is better able to decrease the bias than traditional simple structure rotation. The results showed that no single rotation method was generally superior across all conditions. Component loss rotation showed the best all-round performance across the investigated conditions. We conclude that Component loss rotation is a suitable alternative to simple structure rotation. We discuss this result in the light of recently proposed sparse factor analysis approaches.

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