Self-Report Inventories as Predictors of Men's Heterosocial Skill: A Multiple Regression Analysis

1985 ◽  
Vol 56 (3) ◽  
pp. 977-978 ◽  
Author(s):  
Michael E. Faulstich ◽  
Bernard J. Jensen ◽  
Glenn N. Jones ◽  
James D. Calvert ◽  
Dorothy J. Van Buren
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Self Report ◽  
Significant Relationships ◽  
Undergraduate Men

Little research has concerned criterion-related validity of heterosocial self-report inventories. 82 undergraduate men responded to the Survey of Heterosocial Interactions, Situation Questionnaire, and Dating and Assertion Questionnaire and also had heterosocial skillfulness rated during an analog interaction. Scores on the interaction survey correlated the highest ( r = .43) with ratings of global skill, and a four-variable regression model accounted for 31% of the ratings' variance. The significant relationships between these inventories and ratings of skill provide some evidence for criterion-related validity of these measures.

scholarly journals A Study on the Prediction of Daily Snowmelt Depth using Multiple Linear Regression

2020 ◽  
Vol 20 (6) ◽  
pp. 311-321
Author(s):  
YeoungRok Oh ◽  
Gyumin Lee ◽  
Kyung Soo Jun ◽  
Wooyeon Sunwoo ◽  
SeungWoo Baek ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Snow Depth ◽  
Meteorological Data ◽  
Multiple Regression Model ◽  
Independent Variables ◽  
Fresh Snow ◽  
Humidity Range

In this study, daily snowmelt was predicted using observed meteorological data and multiple regression analysis. Five observation stations (located in Daegwallyeong, Gwangju, Seosan, Mokpo, and Jeonju) were selected to analyze fresh snow depth from 2000 to 2010. The dependent variable used in the multiple regression analysis was daily snowmelt depth, and the independent variables were fresh snow depth, diurnal temperature range, temperature interception, diurnal humidity range, humidity intercept, and solar radiation. Seventy percent of the total observed data was used to develop a multiple regression model and the regression model was verified using the 30% of remaining data. The adjusted R-squared and Root Mean Square Deviation (RMSE) were used to examine the developed regression model. As a result, the adjusted R-squared was higher than 0.769 (except Daegwallyeong); thus the developed model represented well the daily snowmelt depth. Even Jeonju had an adjusted R-squared of 0.869. Also, the RMSE in all of the five stations was lower than 2.5 cm. The lowest value in Seosan was 1.7 cm. From the two types of verification, the developed multiple regression model was judged to be suitable to predict the daily snowmelt depth. However, multicollinearity should be explained, as rapid increases in temperature and sustained high temperature could not be reflected in the model. Therefore, if the limitations were resolved in further research, the model could be used to predict the amount of daily snowmelt depth more reliably.

What Drives Malaysian E-Government Adoption?

2011 ◽  
Vol 24 (2) ◽  
pp. 16-27 ◽  
Author(s):  
Alain Yee-Loong Chong
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Research Data ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Model ◽  
Perceived Ease Of Use ◽  
Demographic Profiles ◽  
Significant Relationships

In this paper, the author investigates the factors that affect the adoption of e-government in Malaysia. Variables like perceived usefulness, perceived ease of use, compatibility, trust and demographic profiles of users are included in this research. Data was collected from 418 respondents, and multiple regression analysis is employed to test the research model. The results show that perceived usefulness, perceived ease of use, compatibility, trust and age have significant relationships with e-government adoption. The results from this study are useful for Malaysian government in formulating appropriate strategies to improve the adoption of e-government applications in Malaysia.

The Relationship of Training on Manufacturing Capabilities among Electrical and Electronic Manufacturers in Malaysia

2015 ◽  
Vol 793 ◽  
pp. 663-668
Author(s):  
M.H. Amlus ◽  
Ahmad Zaidi Abdullah ◽  
Amlus Ibrahim ◽  
H. Mokhtarudin
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Northern Region ◽  
Significant Relationships ◽  
Regression Techniques ◽  
Study Support ◽  
Relationship Of ◽  
The Relationship

Generally, manufacturing capability is the important factor in running and developing business. Hence, this research is aimed to identifying the relationships of critical factors and make sure the companies can survive in the northern region of Malaysia. Those identified factors are training and manufacturing capabilities. Through the email survey, a total of 89 companies representing electrical and electronic industries had responded. The hypotheses involved were tested using correlation and regression techniques. The results of the study support all the hypotheses. The multiple regression analysis indicates that there are significant relationships among the factors on each criterion to manufacturing capabilities. While hierarchical multiple regression analysis was carried out to test the role of moderating in the relationship between independent variables with dependent variables. It is believed that results of this study will be beneficial for shareholders and directors of companies to apply these manufacturing capabilities.

The Relationship between Managerial Commitment towards Manufacturing Capabilities: Investigating in an Electrical and Electronic Industries in Malaysia

2015 ◽  
Vol 793 ◽  
pp. 647-651
Author(s):  
Mohammad Harith bin Amlus ◽  
Ahmad Zaidi Abdullah ◽  
Amlus Ibrahim
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Northern Region ◽  
Critical Factors ◽  
Significant Relationships ◽  
Regression Techniques ◽  
Study Support ◽  
The Relationship

Generally, manufacturing capabilities are the important factor in running and developing business. Hence, this research is aimed to identifying the relationships of critical factors and make sure the companies can survive in the northern region of Malaysia esspecially in Electrical and Electronic area. Those identified factors are managerial commitment and manufacturing capabilities in term of agility. Through the survey, a total of 119 companies representing various industries in Northern Region of Malaysia had responded. The hypotheses involved were tested using correlation and regression techniques. The results of the study support all the hypotheses. The multiple regression analysis indicates that there are significant relationships among the factors on each criterion to manufacturing capabilities. It is believed that results of this study will be beneficial for shareholders and directors of electrical and electronic companies to apply these manufacturing capabilities.

Predicting change-of-direction performance in elite young badminton players: A multiple regression analysis on acceleration- and deceleration-related qualities

2022 ◽  
pp. 174795412110688
Author(s):  
Irineu Loturco ◽  
Lucas A. Pereira ◽  
Francisco Alvarez-Dacal ◽  
Jonathan Martinez-Maseda ◽  
Tomás T. Freitas ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Young Male ◽  
Multiple Regression Model ◽  
Change Of Direction ◽  
Significant Relationships ◽  
Model Combining ◽  
Indirect Measures ◽  
Acceleration And Deceleration

The aim of this study was to examine the interrelationships between direct (sprint and change-of-direction [COD] velocities) and indirect measures (COD-deficit [CODD], deceleration deficit [DD], and sprint momentum) of speed-related performances in young badminton players. Thirty young male badminton players (age: 16.8 ± 1.4 years; body-mass: 61.5 ± 7.9 kg; height: 170 ± 5.8 cm) performed a 20-m sprint followed by 505 COD tests, on the same day. A Pearson product moment test was applied to determine the relationships among variables. A multiple regression analysis was used to verify whether the combination of CODD and DD increased the capacity to predict COD performance. Large and significant relationships were observed between COD and linear sprint velocity and sprint momentum ( r ranging from 0.62 to 0.84; P < 0.05). COD velocity revealed a moderate significant ( r  = −0.38) and a small non-significant ( r  = 0.29) relationship with CODD and DD, respectively. The multiple regression model combining CODD and DD explained 44% of the variance in COD performance. In summary, young badminton players who sprint faster are equally faster in COD manoeuvres but present higher levels of CODD and DD. Coaches should be aware that faster badminton players may exhibit greater magnitudes of CODD-DD, thus requiring specific interventions to optimize the transition between high deceleration and (re) acceleration phases.

scholarly journals Factors Related to Insomnia in Adult Patients with Tinnitus and/or Hyperacusis: An Exploratory Analysis

2019 ◽  
Vol 30 (09) ◽  
pp. 802-809 ◽  
Author(s):  
Hashir Aazh ◽  
David M. Baguley ◽  
Brian C. J. Moore
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Depression Scale ◽  
Severity Index ◽  
Multiple Regression Model ◽  
Self Report ◽  
Related Factors ◽  
Uk National Health Service ◽  
The Uk

AbstractPeople with tinnitus and/or hyperacusis often experience insomnia. However, it is unclear what factors are most strongly associated with insomnia.To explore factors related to insomnia in patients with tinnitus and/or hyperacusis.This was a retrospective study using multiple-regression analysis.Data were assessed for 444 consecutive patients who sought help concerning their tinnitus and/or hyperacusis from a specialist audiology center in the UK National Health Service. The average age of the patients was 54 years (standard deviation = 15 years).The results of audiological tests and self-report questionnaires were gathered retrospectively from the records of the patients. Multiple-regression analysis was used to assess the relationship between insomnia and other variables.Sixty-nine percent of patients with tinnitus experienced some form of insomnia as measured via the Insomnia Severity Index (ISI). A multiple-regression model showed that ISI scores were significantly associated with depression scores measured via the depression subscale of the Hospital Anxiety and Depression Scale (HADS) (regression coefficient [b] = 0.44, p < 0.001), tinnitus annoyance measured via the visual analog scale (VAS) (b = 0.49, p = 0.001), anxiety measured via the anxiety subscale of the HADS (b = 0.21, p = 0.012), and tinnitus handicap measured via the Tinnitus Handicap Inventory (b = 0.07, p < 0.001). The model explained 45% of the variance in ISI scores. VAS scores for tinnitus loudness, hyperacusis-related measures, hearing thresholds, age, and gender were not significantly related to insomnia.The prevalence of insomnia in patients with tinnitus is high. Both tinnitus-related factors and psychological factors are related to the severity of insomnia. Hyperacusis is not significantly associated with insomnia.

scholarly journals Pengaruh Kualitas Pelayanan Account Representative (Ar) Terhadap Kepuasan Dan Kepatuhan Wajib Pajak Badan (Studi Pada Perusahaan Makanan Di Kota Malang)

2013 ◽  
Vol 4 (2) ◽  
pp. 119
Author(s):  
Ajeng Rachma Pertiwi ◽  
M. Khoiru Rusydi
Keyword(s):  
Quality Of Service ◽  
Regression Analysis ◽  
Data Analysis ◽  
Regression Model ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Quality Service

AbstractThe objective of this research is to know influence between account representative quality service as an evidence of administration modernization of taxation with the taxpayer satisfaction and the taxpayer compliance. Quality of service was measured based on tangibles, reliability, responsivness, assurance, and empathy responder. Method applied for data analysis used multiple regression analysis. Analysis result of regression model I indicated tangibles, reliability, responsivness, assurance, and empathy variables had no a significant influence to satisfaction of taxpayer. While partially regression model II indicated that tangibles, reliability, responsivness, and empathy variables didn't have significant effect to taxpayer compliance, and assurance variable has an significant effect to taxpayer compliance. This thing means that taxpayer compliance was influenced by assurance variable. If satisfaction and compliance of taxpayer increased, receiving of tax will increase.

scholarly journals Effects of Caregiver Burden, Anxiety, Spirituality and Family Relationships on Depression among Caregivers of Hospitalized Children

2021 ◽  
Vol 28 (3) ◽  
pp. 353-360
Author(s):  
Ahyoung Seo ◽  
Suk-Sun Kim
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Caregiver Burden ◽  
Family Relationships ◽  
Family Relationship ◽  
Self Report ◽  
Hospitalized Children ◽  
Predictors Of Depression ◽  
One Way Anova

Purpose: The purposes of this study were to examine the associations among caregiver burden, anxiety, spirituality, family relationship and depression and to determine predictors of depression among caregivers of hospitalized children.Methods: The participants were 128 caregivers of hospitalized children. Data were collected through self-report questionnaires and analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation coefficient and multiple regression analysis with SPSS ver. 27.Results: Depression was significantly positively associated with caregiver burden, anxiety and negatively associated with family relationships. Multiple regression analysis revealed that caregiver burden, anxiety, family relationship, and being 6 months or more post diagnosis were significant factors having an explanation power of approximately 56% of the variance in depression.Conclusion: Our study findings show that it is necessary to develop strategies to reinforce family relationship and reduce caregiver burden to prevent caregiver depression.

scholarly journals Persepsi dan Pemahaman Pelaku Usaha Terhadap Berlakunya Standar Akuntansi Keuangan Entitas Mikro Kecil Menengah di Kota Bandung

2021 ◽  
Vol 6 (2) ◽  
pp. 72-85
Author(s):  
Kasir
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Study Data ◽  
T Test ◽  
Primary Data ◽  
F Test ◽  
The City

The purpose of this study was to determine the perception and understanding of MSME centers business on the application of SAK EMKM starting Januari 1, 2018 at the MSME Business Center in Bandung. In this study the data used are primary data, that is data obtained directly from the object under study. Data obtained through questionnaires to several MSME business center operastors int the city of Bandung. Sampling was carried out using the Sloving formula, resulting in 336 MSME respondents. The regression model used in this study to use Multiple Regression Analysis. The results of this study by t test (partial) showed that the perception of MSME actors did not effect the implementation of SAK EMKM and the understanding of MSME actors influenced the implementation of SAK EMKM. While the F test (simultaneous) showed that the perception and understanding of MSME actors influence the implementation of SAK EMKM.

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