scholarly journals Profiles of Academic Procrastination in Higher Education: A Cross-Cultural Study Using Latent Profile Analysis

2021 ◽  
Vol 8 (3) ◽  
pp. 150-160
Author(s):  
Eren Halil ÖZBERK ◽  
Tuğba TÜRK KURTÇA
Keyword(s):  
Higher Education ◽  
International Students ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Academic Program ◽  
Academic Procrastination ◽  
Academic Tasks ◽  
Study Results ◽  
Latent Profiles ◽  
Latent Profile

Procrastination behaviour occurs when the person is obligated to do an activity, even they are not motivated to carry out the activity within the expected time frame. Literature studies define four types of procrastination: academic, decisional, life routines, and neurotic. This study focuses on academic procrastination in higher education. Academic procrastination is mainly related to delaying academic tasks such as handing in assignments and term papers or preparing for the exams at the last moment. This study compares Turkish and international students' academic and general procrastination profiles using latent profile analysis. For this purpose, latent profiles were estimated to reveal how students from different cultures are grouped according to academic and general procrastination behaviour. A total of 691 undergraduate students, 52.4% (361) Turkish and 47.6% (330) of international students registered for an academic program in higher education participated in the study. Results indicated that while Turkish students for three latent profiles defined as Tending to enjoyable Works, Neither Lessons nor Other Works and Ambition for Academic Success. On the other hand, International students only fit two latent profiles, which are defined as Academic Procrastination Tending to Enjoyable Works and Prioritizing Academic Tasks.

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 Latent Profiles of Writing-related Skills, Knowledge, and Motivation for Elementary Students and Their Relations to Writing Performance across Multiple Genres

2022 ◽  
Author(s):  
Gary Alan Troia ◽  
Heqiao Wang ◽  
Frank R. Lawrence
Keyword(s):  
At Risk ◽  
Elementary Students ◽  
Student Performance ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Empirical Support ◽  
Individual Knowledge ◽  
Latent Profiles ◽  
Latent Profile

Our goal in this study is to expand the limited research on writer profiles using the advantageous model-based approach of latent profile analysis and independent tasks to evaluate aspects of individual knowledge, motivation, and cognitive processes that align with Hayes’ (1996) writing framework, which has received empirical support. We address three research questions. First, what latent profiles are observed for late elementary writers using measures aligned with an empirically validated model of writing? Second, do student sociodemographic characteristics—namely grade, gender, English learner status, and special education status—influence latent profile membership? Third, how does student performance on narrative, opinion, and informative writing tasks, determined by quality of writing, vary by latent profiles? A five-profile model had the best fit statistics and classified student writers as Globally Weak, At Risk, Average Motivated, Average Unmotivated, and Globally Proficient. Overall, fifth graders, female students, students without disabilities, and native English speakers had greater odds of being in the Globally Proficient group of writers. For all three genres, other latent profiles were significantly inversely related to the average quality of papers written by students who were classified as Globally Proficient; however, the Globally Weak and At Risk writers were not significantly different in their writing quality, and the Average Motivated and Average Unmotivated writers did not significantly differ from each other with respect to quality. These findings indicate upper elementary students exhibit distinct patterns of writing-related strengths and weaknesses that necessitate comprehensive yet differentiated instruction to address skills, knowledge, and motivation to yield desirable outcomes.

scholarly journals GRIEF EXPERIENCE PATTERNS AMONG OLDER ADULTS IN RURAL CHINA: A LATENT PROFILE ANALYSIS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S630-S630
Author(s):  
Haimin Pan
Keyword(s):  
Higher Education ◽  
Older Adults ◽  
Physical Functioning ◽  
Rural Areas ◽  
Meaning In Life ◽  
Latent Profile Analysis ◽  
Meaning Making ◽  
Profile Analysis ◽  
Rural China ◽  
Latent Profile

Abstract Grief experiences among older adults in China are understudied, though a variety of negative bereavement outcomes have been delineated. The present work sought to explore grief patterns among Chinese older people in rural areas, as well as the factors influencing the bereavement results. Participants were 352 older residents who responded to a face-to-face interview and lived in rural areas in Zhejiang Province of China. Latent profile analysis (LPA) was used to identify subtypes of class membership in combing complicated grief (CG), depression, anxiety, and meaning in life. Afterwards, these subgroups were compared on demographic characteristics and meaning making variable. The LPA model best fitting the data was a three-class solution comprised of “adaptive” (n=235; 66.8% of the sample), “moderate maladaptive” (n=83; 23.6% of the sample), and “severe maladaptive” groups (n=34; 9.7% of the sample). Compared to the “severe maladaptive” group, participants in the “adaptive” group had better physical functioning, higher education and incomes levels, and less meaning making engagement, while participants in the “moderate maladaptive” group had longer bereavement duration, better physical functioning, and less meaning making activities. Relative to the “moderate maladaptive” group, participants who were adaptive to the loss possessed longer bereavement duration better physical functioning, higher education and incomes levels, and less meaning making engagement. Findings suggest three distinct patterns of bereavement outcomes among Chinese older adults. Multiple factors impacting the results were taken into consideration. Future replication is necessary to validate these subgroups, and professional services should be provided to bereaved older Chinese in need.

scholarly journals The Search for and Presence of Calling: Latent Profiles and Relationships With Work Meaning and Job Satisfaction

2021 ◽  
Vol 12 ◽  
Author(s):  
Feifei Li ◽  
Runkai Jiao ◽  
Dan Liu ◽  
Hang Yin
Keyword(s):  
Job Satisfaction ◽  
Psychosocial Functioning ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Directions ◽  
Work Meaning ◽  
Latent Profiles ◽  
Study Participants ◽  
Chinese Kindergarten ◽  
Latent Profile

Previous studies showed inconsistent results on the association between searching for calling and its psychosocial functioning outcomes (i.e., work meaning and job satisfaction). The link of searching for calling to its psychosocial functioning outcomes may be influenced by the presence of calling because the search for and presence of calling can co-exist within individuals. Thus, the present study employed a person-centered method (latent profile analysis) to identify subgroups combining the search for and presence of a calling and then explore the identified profiles' differences in work meaning and job satisfaction. Study participants were Chinese kindergarten teachers (n = 726). Latent profile analysis revealed four different groups: (1) actively maintaining calling (24.93%), (2) unsustainable calling (11.43%), (3) moderately increasing calling (23.14%), and (4) actively increasing calling (40.50%). Subsequent analyses showed notable differences across the four groups on work meaning and job satisfaction. Participants in profile 1 with both the highest searching for and presence of calling would experience more work meaning and job satisfaction than those in the other profiles whose strengths of searching for and presence of calling were relatively low. Participants in profile 4 had higher searching for and presence of calling than those in profile 3, and they experienced more meaningfulness at work and were more satisfied with their job. These findings indicate that actively searching for calling is closely associated with more work meaning and job satisfaction among people who already perceive intensive calling. Implications, limitations, and future directions of the results are discussed.

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