scholarly journals Relationship between higher education teachers’ affect and their psychological adjustment to online teaching during the COVID-19 pandemic: an application of latent profile analysis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12432
Author(s):  
Weixing Zou ◽  
Xiangmei Ding ◽  
Lingping Xie ◽  
Hongli Wang
Keyword(s):  
Higher Education ◽  
Psychological Adjustment ◽  
Online Teaching ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Common Type ◽  
Positive Type ◽  
Affective Experiences ◽  
The Common ◽  
The Relationship

Background The COVID-19 outbreak has forced teachers to transition to online teaching, requiring them to adapt their courses and pedagogical methods to an online format rapidly without relevant training. This has presented a formidable challenge to higher education teachers. The present study uses a person-centered approach to identify heterogeneity among higher education teachers’ affective experiences and the relationship between this heterogeneity and their psychological adjustment to online teaching. Methods In total, 2,104 teachers in higher education institutions in Southern China were surveyed using the Positive and Negative Affect Schedule and the Psychological Adjustment to Online Teaching Scale (a measure developed for this study) between March 25 and March 31, 2020. The collected data were analyzed using latent profile analysis. Results Based on their affective experiences during online teaching immediately after the COVID-19 outbreak, higher education teachers were divided into three latent classes: the common, ambivalent, and positive types. Among them, the positive type accounted for the largest proportion (44.85%), while the ambivalent type accounted for the smallest proportion (23.93%). The rest was the common type, which accounted for 31.15%. Significant differences in psychological adjustment to online teaching were found between the three latent classes. Regarding positive psychological adjustment, teachers belonging to the ambivalent type had significantly lower scores than those belonging to the other two types. Further, the common type had a significantly lower score than the positive type. Regarding negative psychological adjustment, the ambivalent type had a significantly higher score than the other two types, and the common type had a significantly higher score than the positive type. Conclusion Based on a novel person-centered perspective, this study revealed the differences and complexity in higher education teachers’ affective experiences of online teaching immediately after the COVID-19 outbreak. The three different types of affective experiences (common, ambivalent, and positive) had a significant influence on psychological adjustment, with teachers belonging to the ambivalent type showing the worst psychological adjustment. This study provides a new perspective for the discussion of the relationship between teachers’ affective experiences and their psychological adjustment to online teaching.

Profiles for Success: Examining the Relationship between Student Profiles and Clerkship Performance Using Latent Profile Analysis

2021 ◽  
pp. 1-10
Author(s):  
Christy K. Boscardin ◽  
Justin Bullock ◽  
Patricia O’Sullivan ◽  
Karen Hauer
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Student Profiles ◽  
The Relationship ◽  
Latent Profile

Risks of Using Statistical Analysis Tools in Project Management Environments

2020 ◽  
Vol 7 (2) ◽  
pp. 1-19
Author(s):  
Brian J. Galli
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Statistical Analysis ◽  
Common Type ◽  
Systematic Search ◽  
Statistical Tools ◽  
Early Stages ◽  
Analysis Tools ◽  
The Common ◽  
The Relationship

The purpose of this study is to examine the risks of using statistical tools in a project basis. A systematic search of certain academic databases has been conducted for this study. Statistical tools could be used in a project, and they should be properly planned and designed. Statistical tools include major activities, such as collecting and analyzing data, providing meaningful interpretation, and reporting findings. When dealing with statistical tools, there are several risks that may exist and impact the project either positively or negatively. This study covers a brief outline of the risk management, statistical tools, and the relationship between the two concepts. Finally, a discussion of the common type of risks that are initiated by using statistical analysis tools are provided, which could be planned, identified, and analyzed in the early stages of the project.

Mindfulness, self-reported health, and cortisol: A latent profile analysis

2020 ◽  
pp. 135910532093118
Author(s):  
Stephen M Leach ◽  
Amanda M Mitchell ◽  
Paul Salmon ◽  
Sandra E Sephton
Keyword(s):  
Physical Health ◽  
Undergraduate Students ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Cortisol Response ◽  
Future Directions ◽  
Reported Health ◽  
The Relationship ◽  
Mental And Physical Health ◽  
Latent Profile

This study utilized a latent profile analysis approach to examine the relationship between mindfulness profiles and self-reported mental and physical health, as well as salivary cortisol levels in a sample of 85 undergraduate students. Consistent with theory, the Judgmentally Observing (high monitoring, low acceptance) reported poorer mental health and exhibited flatter diurnal cortisol slopes than the Unobservant Accepting (low monitoring, high acceptance) and Average Mindfulness profiles. No differences in self-reported physical health, cortisol response to awakening, or diurnal mean cortisol were observed among the profiles. Future directions are discussed.

Entrepreneurial academics: a taxonomy with Latent Profile Analysis

2019 ◽  
Vol 57 (12) ◽  
pp. 3346-3363 ◽  
Author(s):  
Ricardo Gouveia Rodrigues ◽  
João J.M. Ferreira ◽  
Teresa Felgueira
Keyword(s):  
Higher Education ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Data Gathering ◽  
Content Type ◽  
Individual Entrepreneurial Orientation ◽  
Future Studies ◽  
Starting Point ◽  
E Mail ◽  
Latent Profile

Purpose The need for dynamic and innovative skills and the importance of resources and individuals in pursuit of new opportunities prove to be extremely vital for the higher education institutions (HEI). The purpose of this paper is to develop a taxonomy of academics from HEI, based on their individual entrepreneurial orientation (EO). Design/methodology/approach The population in study was composed of teachers and researchers from worldwide HEI. The data collection was conducted through a questionnaire sent by an e-mail and the authors used the I-ENTRE-U scale to identify entrepreneurial-oriented teachers and researchers from HEI. A Latent Profile Analysis (LPA) was conducted to identify profiles of researchers with similar values in four EO dimensions. Findings The study allowed the authors to identify five profiles of researchers: downers, achievers, followers, defenders and rebels. Research limitations/implications The results can be an important starting point for other researchers and practitioners hoping to evaluate academics’ EO in a higher education sector. The taxonomy also allows wider predictions about the behaviour of the profile members of profiles and relates it with other variables such as performance. Further contributions may be added by extending the data gathering from different geographical areas and/or different academic contexts, such that future studies could apply other LPA techniques and compare the results. Originality/value Only few studies have focussed on individual EO of scientists/academics, considering different national and regional contexts. To the best of the authors’ knowledge, this is the first empirical study that develops a taxonomy of academics from HEI, based on their individual EO.

scholarly journals A latent profile analysis of first-year university students’ academic expectations

2018 ◽  
Vol 35 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Alexandra M. Araújo ◽  
Cristiano Mauro Assis Gomes ◽  
Leandro S. Almeida ◽  
Jose Carlos Núñez
Keyword(s):  
Higher Education ◽  
Academic Success ◽  
Social Interaction ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Political Engagement ◽  
First Year ◽  
Academic Expectations ◽  
Social Pressures ◽  
Latent Profile

Academic expectations are an important variable in the explanation of adaptation and academic success in higher education. This paper uses latent profile analysis as a person-centered statistical approach to classify students into groups of similar types of expectations for higher education, at the beginning of the first year in university. Participants were 2,478 first-year Portuguese students. Based on the scores of seven dimensions of expectations, we identified six classes of students. Most students (84%) presented moderate levels of expectations, while 8% and 4%, respectively, reported very high and low expectations. One class represented a group of students (4%) with high expectations for the quality of education and for political engagement and citizenship and lower expectations for social interaction and attending to social pressures. Male and older students showed more positive expectations. Students from privileged family backgrounds are more likely to present higher expectations for political engagement and citizenship experiences, and lower expectations for social interaction and leisure and attending to social pressures. Keywords: latent profile analysis; person-centered; expectations; higher education; first-year students

scholarly journals Smoking and Physical Activity Trajectories from Childhood to Midlife

2019 ◽  
Vol 16 (6) ◽  
pp. 974 ◽  
Author(s):  
Kasper Salin ◽  
Anna Kankaanpää ◽  
Mirja Hirvensalo ◽  
Irinja Lounassalo ◽  
Xiaolin Yang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Finnish Population ◽  
Multinomial Logistic Regression Analysis ◽  
Males And Females ◽  
The Relationship ◽  
Substantial Interest

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants’ smoking and PA were assessed five to eight times over a 31-year period (3–18 years old at the baseline, 34–49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.

scholarly journals All Insecure, All Good? Job Insecurity Profiles in Relation to Career Correlates

2019 ◽  
Vol 16 (15) ◽  
pp. 2640 ◽  
Author(s):  
Nele De Cuyper ◽  
Anahí Van Hootegem ◽  
Kelly Smet ◽  
Ellen Houben ◽  
Hans De Witte
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Job Insecurity ◽  
Career Outcomes ◽  
Common View ◽  
Perceived Employability ◽  
Two Samples ◽  
Career Growth ◽  
Organizational Career Management ◽  
The Common

Felt job insecurity is commonly seen as a stressor that is tied to a specific segment of employees and which implies overall negative outcomes. We challenge this view based on the new career rhetoric that assumes that felt job insecurity is widespread, although not necessarily problematic; rather, on the contrary, that felt job insecurity may promote career growth and development. Accordingly, our first aim concerns the distribution of felt quantitative and qualitative job insecurity, and our second aims concerns the connection between profiles and career correlates (i.e., perceived employability, individual and organizational career management). We used two samples of Belgian employees (N1 = 2355; N2 = 3703) in view of constructive replication. We used Latent Profile Analysis to compile profiles of felt quantitative and qualitative job insecurity and linked those profiles to career outcomes. Our results are similar across samples: five profiles were found, from relatively secure to relatively insecure (aim 1). The more secure profiles reported more favorable career outcomes than the less secure profiles (aim 2). This provided overall support for the common view. We connect these findings to what we see as the main risk, namely the potentially growing divide based on felt job insecurity and the relatively large group of employees in insecure profiles.

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