Freely Engaged: Volition and Work Engagement Among Temporary Agency Workers of the Indian IT Industry

2021 ◽  
pp. 231971452110515
Author(s):  
Rajthilak R. ◽  
Swati Alok ◽  
Navya Kumar
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Multiple Regression ◽  
Work Engagement ◽  
Autonomous Motivation ◽  
Temporary Work ◽  
It Industry ◽  
Work Arrangements ◽  
Two Phases ◽  
Temporary Agency Workers

A lack of job security and other challenges mark the circumstances of temporary agency workers (TAWs). Yet, data from 511 TAWs of the Indian information technology (IT) industry captured via a structured questionnaire revealed the presence of volition or TAWs holding temporary jobs by choice. The study was conducted in two phases. In phase one, logistic regression was used to differentiate between voluntary and involuntary TAWs. In phase two, multiple regression was used to analyse the influence of volition on work engagement–overall and its individual components (vigour, dedication, and absorption). Logistic regression analysis showed that TAWs who were younger, single, educated in smaller cities and had worked for less than a year with a client were more likely to voluntarily choose temporary work. Further, multiple regression analysis demonstrated that such volition significantly boosts TAWs’ work engagement, in line with Self-Determination Theory’s perspective on autonomous motivation. The predictive model of categorizing TAWs into voluntary and involuntary groups based on demographic and job characteristics will help client and staffing organizations design customized policies for each group and promote factors enabling voluntary selection of temporary work arrangements.

scholarly journals Serum chemerin levels: A potential biomarker of joint inflammation in women with rheumatoid arthritis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0255854
Author(s):  
Fabiola Gonzalez-Ponce ◽  
Jorge I. Gamez-Nava ◽  
Emilio E. Perez-Guerrero ◽  
Ana M. Saldaña-Cruz ◽  
Maria L. Vazquez-Villegas ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Disease Activity ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Logistic Regression Analysis ◽  
Fat Mass ◽  
Severe Disease ◽  
Potential Biomarker

Background Chemerin has a potential role in perpetuating inflammation in autoimmune diseases. Nevertheless, to date, there is no conclusive information on whether high chemerin levels increase the severity of rheumatoid arthritis (RA). Therefore, this study evaluated whether serum chemerin is a biomarker of disease activity in RA patients. Methods Study design: cross-sectional. The assessment included clinical and laboratory characteristics, body mass index (BMI) and fat mass. The severity of the disease activity was identified according to the DAS28-CRP index as follows: A) RA with a DAS28-CRP≤2.9 (remission/mild activity) and B) RA with a DAS28-CRP>2.9 (moderate/severe activity). Serum chemerin concentrations were measured by ELISA, and ≥103 ng/mL was considered a high level. Logistic regression analysis was applied to determine whether high chemerin levels were associated with disease activity in RA after adjusting for confounders. Multiple regression analysis was performed to identify variables associated with chemerin levels. Results Of 210 RA patients, 89 (42%) subjects had moderate/severe disease activity and had higher serum chemerin levels than patients with low disease activity or remission (86 ± 34 vs 73± 27; p = 0.003). Serum chemerin correlated with the number of swollen joints (r = 0.15; p = 0.03), DAS28-CRP (r = 0.22; p = 0.002), and C-reactive protein levels (r = 0.14; p = 0.04), but no correlation was observed with BMI and fat mass. In the adjusted logistic regression analysis, high chemerin levels (≥103 ng/mL) were associated with an increased risk of moderate/severe disease activity (OR: 2.76, 95% CI 1.35–5.62; p = 0.005). In the multiple regression analysis, after adjusting for potential confounders, serum chemerin levels were associated with higher DAS28-CRP (p = 0.002). Conclusions Higher chemerin levels increased the risk of moderate and severe disease activity in RA. These results support the role of chemerin as a marker of inflammation in RA. Follow-up studies will identify if maintaining low chemerin levels can be used as a therapeutic target.

Investing Behaviour of the IT Millennials with Respect to Retirement Planning

2019 ◽  
Vol 9 (8) ◽  
pp. 188-201
Author(s):  
Rashmy Moray ◽  
Vanishree Pabalkar ◽  
Nema Buch
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Predictive Model ◽  
Logistic Regression Analysis ◽  
Financial Planning ◽  
Representative Sample ◽  
Retirement Planning ◽  
Demographic Variables ◽  
It Industry ◽  
The Relationship

The objective of this study is to identify the demographic factors and behavioural biases affecting the financial planning of the Millennials. For this purpose the investing behaviour of the Millennials in the IT Industry as a representative sample with respect to retirement planning has been studied using the Retirement Wellness Score. Logistic regression analysis was performed to determine the likelihood of whether the Millennials are ready for retirement with the main aim of showing the relationship between the study variables. An attempt has been made to develop a predictive model that would help in determining the Millennials’ readiness for retirement given their demographic variables and dominant bias presence. This research contributes to developing an understanding of Millennials’ financial planning for retirement.

scholarly journals IN-WORK POVERTY IN LATVIA

2019 ◽  
Vol 7 ◽  
Author(s):  
Mareks Niklass
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Protection ◽  
Retirement Age ◽  
Work Arrangements ◽  
Standard Work ◽  
Poverty Risk ◽  
Low Education ◽  
Social Transfers ◽  
Household Members

The results of a survey carried out in Latvia in 2015 are examined to estimate the scope and depth of in-work poverty. The widely used EU-SILC data considerably underestimate in-work poverty in Latvia. Logistic regression analysis indicates that persons with low education, poor health, persons of pre-retirement age, and those employed in non-standard work arrangements are more likely exposed to a high in-work poverty risk. Social transfers and the income of other household members do not significantly reduce this risk. The Latvian government should provide adequate social protection and funding to alleviate the in-work poverty problem.

scholarly journals A Novel Game-Based Intelligent Test for Detecting Elderly Cognitive Function Impairment

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chih-Wei Lin ◽  
Tso-Yen Mao ◽  
Chun-Feng Huang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Multiple Regression ◽  
Cognitive Dysfunction ◽  
Predictive Power ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Correct Number

Purposes. This research explores the game-based intelligent test (GBIT), predicts the possibilities of Mini-Mental State Examination (MMSE) scores and the risk of cognitive impairment, and then verifies GBIT as one of the reliable and valid cognitive assessment tools. Methods. This study recruited 117 elderly subjects in Taiwan (average age is 79.92 ± 8.68 , average height is 156.91 ± 8.01 , average weight is 59.14 ± 9.67 , and average MMSE score is 23.33 ± 6.16 ). A multiple regression model was used to analyze the GBIT parameters of the elderly’s reaction, attention, coordination, and memory to predict their MMSE performance. The binary logistic regression was then utilized to predict their risk of cognitive impairment. The statistical significance level was set as α = 0.05 . Results. Multiple regression analysis showed that gender, the correct number of reactions, and the correct number of memory have a significantly positive predictive power on MMSE of the elderly ( F = 37.60 , R 2 = 0.69 , and p < 0.05 ). Binary logistic regression analysis noted that the correct average number of reactions falls by one question, and the ratio of cognitive dysfunction risk increases 1.09 times ( p < 0.05 ); the correct average number of memory drops by one question, the ratio of cognitive dysfunction risk increases 3.76 times ( p < 0.05 ), and the overall model predictive power is 88.20% (sensitivity: 84.00%; specificity: 92.30%). Conclusions. This study verifies that GBIT is reliable and can effectively predict the cognitive function and risk of cognitive impairment in the elderly. Therefore, GBIT can be used as one of the feasible tools for evaluating older people’s cognitive function.

scholarly journals The predictive power of approach and autonomous goal motivation for work engagement among public sector employees

2021 ◽  
pp. 49
Author(s):  
Keyword(s):  
Regression Analysis ◽  
Public Sector ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Engagement ◽  
Predictive Power ◽  
Cross Sectional ◽  
Goal Striving ◽  
Public Sector Employees ◽  
Goal Motivation

This paper compares the relative predictive power of approach goal motivation and autonomous goal motivation for work engagement among public sector employees. To do so, it employs the goal-striving reasons framework within which people’s approach goal motivation is measured as well as the self-concordance theory which measures people’s autonomous goal motivation. Findings are based on cross-sectional and longitudinal data of 132 public service employees at time 1 and 78 employees at time 2. Overall, the results show, using multiple regression analysis, that approach goal motivation significantly predicts work engagement whereas autonomous goal motivation is not a significant predictor of work engagement. On an individual goal-reason level, a similar picture emerges. Pleasure and altruism, the two approaching goal-striving reasons, are descriptively more strongly correlated with work engagement than their comparable self-concordance reason of intrinsic and identified goal motivation. When testing the predictive power of pleasure and altruism with intrinsic and identified goal motivation simultaneously, using multiple regression analysis, pleasure remains the only significant predictor of work engagement at time one and time two. The findings suggest that approach motivation is a stronger predictor of work engagement than autonomous goal motivation for public sector employees. Additionally, the findings also indicate that pleasure is more important for the work engagement of public sector employees than their altruistic goal motivation on an individual goal-reason level.

scholarly journals Work engagement and psychological career resources: An industrial and organizational outlook

2016 ◽  
Vol 14 (1) ◽  
pp. 498-505
Author(s):  
Rebecca Tladinyane
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Engagement ◽  
Relationship Dynamics ◽  
Quantitative Survey ◽  
Utrecht Work Engagement Scale ◽  
The Relationship ◽  
Purposive Sample ◽  
Engagement Scale

This study examined the relationship dynamics between employees’ psychological career resources (measured by the Psychological Career Resources Inventory) and their work engagement (measured by the Utrecht Work Engagement Scale). A quantitative survey was conducted involving a non-probability purposive sample of adults (N = 318) employed in the field of industrial and organisational psychology. A multiple regression analysis indicated that psychological career resources constructs positively and significantly predicts work engagement.

scholarly journals Association between Metabolic Syndrome and the Number of Remaining Teeth in Postmenopausal Women: A Cross-Sectional Analysis Using the Korean National Health and Nutritional Examination Survey

2021 ◽  
Vol 10 (20) ◽  
pp. 4759
Author(s):  
Jeong-In Kim ◽  
Choong-Ho Choi ◽  
Ki-Ho Chung
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Postmenopausal Women ◽  
Multiple Regression ◽  
Abdominal Obesity ◽  
National Health ◽  
Hdl Cholesterol ◽  
Multiple Logistic Regression ◽  
Cross Sectional

There are very few studies on metabolic syndrome (MetS) and oral health in postmenopausal women. The purpose of this cross-sectional study was to determine the association between MetS and its components and the number of remaining teeth in postmenopausal women in Korea. The study selected 3320 menopausal women (40–79 years old) from those who participated in the seventh Korea National Health and Nutrition Survey (2016–2018). Multiple regression and multiple logistic regression analyses were performed to determine the association between MetS and its components and the number of remaining teeth. According to the multiple regression analysis, the regression coefficient (B) values were −1.62 (p < 0.05), −1.31 (p < 0.05), −1.60 (p < 0.05), and −2.28 (p < 0.05) in the hypertension group, hyperglycemia group, low high-density lipoprotein (HDL) cholesterol group, and MetS prevalence group, respectively. This indicates that the number of remaining teeth was lower in the MetS prevalence group as compared to the non-prevalence groups. As observed in the multiple logistic regression analysis, the odds ratio of the number of remaining teeth (less than 20) was higher in the MetS prevalence group (1.82 (p < 0.05)) as compared to the non-prevalence groups (1.25 (p < 0.05) in the abdominal obesity group, 1.50 (p < 0.05) in the hypertension group, 1.36 (p <0.05) in the hyperglycemia group, and 1.72 (p < 0.05) in the low HDL cholesterol group). Therefore, our results indicate that abdominal obesity, hypertension, diabetes, dyslipidemia, and prevalence of MetS are associated with tooth loss in postmenopausal women.

Pengaruh Citra Merek, Kualitas Produk Dan Harga Terhadap Kepuasan Konsumen Pada Bisnis Franchise Minuman

2017 ◽  
Vol 24 (2) ◽  
pp. 144-153
Author(s):  
Yunita Fitri Wahyuningtyas
Keyword(s):  
Regression Analysis ◽  
Marketing Strategy ◽  
Product Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Method ◽  
Sampling Technique ◽  
Sampling Process ◽  
And Function ◽  
Simultaneous Influence

This research is conducted upon the emergence of many companies producing the same product of the same kind and function. It leads to the urgency of proper and well planned marketing strategy. This research aims to investigate how far the influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. This research utilizes 5 likert scale questionnaire which is tested by using multiple regression analysis to reveal whether or not there is partial and simultaneous influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. Sampling method is accidental sampling technique, in which sample of particular population is taken based on the accessibility and availability of the sample during the sampling process. Sample used is 100 samples among consumers or customers of Mang Endy Milkshake. The result shows that branding, product quality, and price influence consumer’s satisfaction in beverage franchise business.

Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Production Function ◽  
Weather Conditions ◽  
Education Level ◽  
Farm Size ◽  
Total Production ◽  
Explanatory Factors ◽  
Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

Adiksi Internet pada Remaja

2019 ◽  
Vol 7 (1) ◽  
pp. 72-78
Author(s):  
Ismalia Prambayu ◽  
Mulia Sari Dewi
Keyword(s):  
Regression Analysis ◽  
Social Skills ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Parenting Style ◽  
Internet Addiction ◽  
Psychological Factors ◽  
Social Skill ◽  
Analysis Method ◽  
Loneliness Scale

AbstractInternet addiction has become a worrying phenomenon for Indonesian teenagers. This research was conducted to determine whether the psychological factors will influence internet addiction in adolescents. This research uses quantitative with multiple regression analysis method. The winning sample is 200 adolescents. The instrument collects data using a scale internet addiction scale that compiled by Griffiths (2005) and developed by Lemmens (2009), Parenting Authority Questionnaire (PAQ) developed by Buri (1991), Social Skill Inventory (SSI) developed by Riggio (1986), and A Rasch-Type Loneliness Scale compiled by De Jong Gierveld (2006).  The results showed that there were significant differences in the parenting style, social skills, and loneliness on the tendency of internet addiction in adolescents.AbstrakAdiksi Internet menjadi salah satu fenomena yang mengkhawatirkan untuk remaja Indonesia. Penelitian ini dilakukan untuk mengetahui faktor psikologis apakah yang memberikan pengaruh terhadap kecenderungan adiksi internet pada remaja. Sampel pada penelitian ini berjumlah 200 remaja dengan menggunakan metode analisis kuantitatif. Penelitian ini menggunakan alat ukur sebagai berikut, alat ukur adiksi internet yang dikembangkan oleh Lemmens (2009), Parenting Authority Questionnaire (PAQ) yang dikembangkan oleh Buri (1991), Social Skill Inventory (SSI) yang dikembangkan oleh Riggio (1986), dan A Rasch-Type Loneliness Scale yang disusun oleh De Jong Gierveld (2006). Berdasarkan hasil pengujian ditemukan pengaruh signifikan gaya pengasuhan, keterampilan sosial, dan kesepian terhadap kecenderungan adiksi internet pada remaja.

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