• No results found

hierarchical regression analyses

Conditions of Long-term Success in a Lifestyle Intervention for Overweight and Obese Youths

Conditions of Long-term Success in a Lifestyle Intervention for Overweight and Obese Youths

... RESULTS: Hierarchical regression analyses revealed that long-term suc- cess (at least 5% weight reduction by the 1-year follow-up) versus failure (dropping out or less weight reduction) was ...

9

Discrimination of auditory signals in schizotypy

Discrimination of auditory signals in schizotypy

... Table 15 Hierarchical Regression Analyses Predicting N1 Amplitude Difference From Experience of Auditory Hallucination, Controlling Separately for Depression, Anxiety, and Stress, at Ele[r] ...

106

Staff empowerment and engagement in a magnet® recognized and joint commission international accredited academic centre in Belgium: a cross sectional survey

Staff empowerment and engagement in a magnet® recognized and joint commission international accredited academic centre in Belgium: a cross sectional survey

... 3 Hierarchical regression analyses with personal characteristics (1), category (2), social capital, decision latitude and workload (3) and work engagement dimensions (4) (explanatory variables) and ...

12

Translucent Voices: Creating Sound Pedagogy And Safe Spaces For Transgender Singers In The Choral Rehearsal

Translucent Voices: Creating Sound Pedagogy And Safe Spaces For Transgender Singers In The Choral Rehearsal

... Table 3.19 Summary of Hierarchical Regression Analyses for Moderating Effects of Emotion Recognition Ability (ERA) on the Relation Between Partner ADHD Symptoms and Level of Dominatio[r] ...

165

The predictive value of somatic and cognitive depressive symptoms for cytokine changes in patients with major depression

The predictive value of somatic and cognitive depressive symptoms for cytokine changes in patients with major depression

... of hierarchical regression analyses were conducted to examine if depressive and somatic symptoms (step 2) predict proinflam- matory cytokines 4 weeks later after controlling for cytokine levels at ...

7

Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees

Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees

... In this section, we present results of experiments to show the merits of our proposed method. In all these experiments, OHMR is applied to an induced MRT or OC1-Reg tree. MRT is similar to the CART algorithm, except that ...

10

Explaining the effect of emotional labor and organizational justice on the job performance by hierarchical regression model

Explaining the effect of emotional labor and organizational justice on the job performance by hierarchical regression model

... Then, regression analysis was conducted in order to understand the impacts of emotional labor and organizational justice perception on flight attendants’ job ...

7

Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model

Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model

... with regression analysis on interesting covariates and data ...rate regression method developed in [10] much more accessible to the malaria research com- ...

16

Religiosity and well being of Pentecostals and Catholics:   a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University

Religiosity and well being of Pentecostals and Catholics: a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University

... Summary Data on Hierarchical Multiple Regression Analyses between Religiosity Variables, Purpose in Life, and Satisfaction with Life... Summary Data on Hierarchical Multiple Regression A[r] ...

13

Increasing teacher teaching ability and teaching learning process at school

Increasing teacher teaching ability and teaching learning process at school

... The method of analyses of this research is quantitative research. According to Creswell (2008), quantitative research is a kind of educational research at which researcher find out what would be observed, ...

9

multireg.pdf

multireg.pdf

... decide to do a table then the beta values and their standard errors are also very useful and personally I’d like to see the constant as well because then readers of your work can construct the full regression ...

11

Quantile regression for overdispersed count data: a hierarchical method

Quantile regression for overdispersed count data: a hierarchical method

... resulting regression parameter ...binomial regression is most vitiated by response outliers, this distortion increasing with ...log-normal regression is more robust than the negative binomial ...

19

The Effect of Leadership Task Behavior and Relational Behavior on Job Performance: Investigating the Moderating  Role of Work Alienation

The Effect of Leadership Task Behavior and Relational Behavior on Job Performance: Investigating the Moderating Role of Work Alienation

... adopted hierarchical regression method, firstly, put the demographic variables (education, job cate- gory or business nature) as the first group of predictor variables into regression equation, then ...

14

Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

... In survey research, one often encounters correlated data due to the designed nature of the study, longitu- dinal data or clustered data. Such data usually referred to collectively as repeated measures, often emanates in ...

9

Quantile Regression and Hierarchical Models for Near-source Air Quality Data.

Quantile Regression and Hierarchical Models for Near-source Air Quality Data.

... Zhou et al. [2011] proposed modeling the center of the quantile function using in- tegrated piecewise polynomial spline (I-spline) basis functions and the tails using the quantile function of the Generalized Pareto ...

99

Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors

Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors

... specific knowledge about the structure such as determination of particular groups of coefficients with similar behaviour. If, however, there is information about the structure, it can be easily incorporated into the ...

15

What Makes A Teacher A Better Teacher? A Hierarchical Regression Analysis of Self Efficacy and Commitment  as Predictors of Faculty Members Job Performance

What Makes A Teacher A Better Teacher? A Hierarchical Regression Analysis of Self Efficacy and Commitment as Predictors of Faculty Members Job Performance

... This study examined the influence of organizational commitment and sense of efficacy in the job performance of faculty members of higher education institution. Results are presented in two sections; the first section ...

7

Multisystemic therapy in New Zealand : effectiveness and predictors of outcome : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Psychology at Massey University, Turitea Campus, Palmerston North, New

Multisystemic therapy in New Zealand : effectiveness and predictors of outcome : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Psychology at Massey University, Turitea Campus, Palmerston North, New Zealand

... Hierarchical Multiple Regression of T2 Days in OHP, Therapist and Supervisor Allegiance, and the Interaction Between Therapist and Supervisor Allegiance Showing Standardised Regression C[r] ...

396

Automatic Differentiation Variational Inference

Automatic Differentiation Variational Inference

... With simulated and real data, we study linear regression with automatic relevance determination, hierarchical logistic regression, several variants of non-negative matrix factorization, [r] ...

45

11-6-2015 12:00 AM The Influence of Parenting Style and Perceived Mattering on Identity Style Orientation

11-6-2015 12:00 AM The Influence of Parenting Style and Perceived Mattering on Identity Style Orientation

... a hierarchical regression model typically involves an examination of the proportion of variability in an outcome that is explained by all of the predictors in the model (R 2 ), as well as the change in R 2 ...

195

Show all 10000 documents...

Related subjects