MULTIVARIATE MULTIPLE REGRESSION ANALYSES: A PERMUTATION METHOD FOR LINEAR MODELS

2002 ◽  
Vol 91 (5) ◽  
pp. 3 ◽  
Author(s):  
PAUL W. MIELKE
Keyword(s):  
Multiple Regression ◽  
Linear Models ◽  
Regression Analyses ◽  
Multivariate Multiple Regression

Multivariate Multiple Regression Analyses: A Permutation Method for Linear Models

2002 ◽  
Vol 91 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Paul W. Mielke ◽  
Kenneth J. Berry
Keyword(s):  
Multiple Regression ◽  
Euclidean Distance ◽  
Linear Models ◽  
Latin Square ◽  
Experimental Designs ◽  
Regression Analyses ◽  
Permutation Procedure ◽  
Multivariate Extension ◽  
Multivariate Multiple Regression ◽  
Euclidean Distances

A multivariate extension of a univariate procedure for the analysis of experimental designs is presented. A Euclidean-distance permutation procedure is used to evaluate multivariate residuals obtained from a regression algorithm, also based on Euclidean distances. Applications include various completely randomized and randomized block experimental designs such as one-way, Latin square, factorial, nested, and split-plot designs, with and without covariates. Unlike parametric procedures, the only required assumption is the randomization of subjects to treatments.

Behavioral Referents for Molar Ratings of Heterosocial Skill

1982 ◽  
Vol 50 (1) ◽  
pp. 139-146 ◽  
Author(s):  
W. Stephen Royce
Keyword(s):  
Multiple Regression ◽  
Linear Models ◽  
Eye Contact ◽  
Regression Analyses ◽  
Linear Modeling ◽  
Hand Gestures ◽  
Men And Women ◽  
Behavioral Cues ◽  
Wide Range ◽  
Highly Skilled

A linear modeling technique was used to identify valid behavioral referents of molar heterosocial skill ratings in both men and women. Videotapes of the heterosocial interactions of 30 men and 30 women representing a wide range of skill were shown to untrained peers who made molar heterosocial skill ratings and supplied lists of the behavioral cues they believed to be useful in discriminating skillful and unskillful subjects. The most widely endorsed cues were then scored for their rates of occurrence in the target subjects' interactions, and multiple regression analyses were used to construct linear models of behavioral referents for the molar heterosocial skill ratings. Highly skilled men were those who kept their gaze up, asked questions, and used appropriate hand gestures. Highly skilled women were those who kept their gaze up, made eye contact, and avoided speaking too softly.

scholarly journals Organizational cooperation and knowledge management in research and development organizations

Psihologija ◽  
2017 ◽  
Vol 50 (1) ◽  
pp. 1-20
Author(s):  
Dos Rebelo ◽  
Leonor Pais ◽  
Lisete Mónico ◽  
Luísa Rebelo ◽  
Carolina Moliner
Keyword(s):  
Knowledge Management ◽  
Research And Development ◽  
Multiple Regression ◽  
Short Form ◽  
Regression Analyses ◽  
Large Effect Size ◽  
Development Organizations ◽  
Multivariate Multiple Regression ◽  
Organizational Cooperation ◽  
A Current

Organizational Cooperation (OC) is a current concept that responds to the growing interdependence among individuals and teams. Likewise, Knowledge Management (KM) accompanies specialization in all sectors of human activity. Most KM processes are cooperation-intensive, and the way both constructs relate to each other is relevant in understanding organizations and promoting performance. The present paper focuses on that relationship. The Organizational Cooperation Questionnaire (ORCOQ) and the Short form of the Knowledge Management Questionnaire (KMQ-SF) were applied to 639 members of research and development (R&D) organizations (Universities and Research Institutes). Descriptive, correlational, linear multiple regression and multivariate multiple regression analyses were performed. Results showed significant positive relationships between the ORCOQ and all the KMQ-SF dimensions. The prediction of KMQ-SF showed a large effect size (R2 = 62%). These findings will impact on how KM and OC are seen, and will be a step forward in the development of this field.

Language and Literacy Predictors of Dialect Density Among School-Age African American Children From Two Geographic Regions

2020 ◽  
Vol 51 (3) ◽  
pp. 807-820
Author(s):  
Lena G. Caesar ◽  
Marie Kerins
Keyword(s):  
African American ◽  
Multiple Regression ◽  
Oral Language ◽  
East Coast ◽  
Geographic Region ◽  
Literacy Skills ◽  
School Age ◽  
Regression Analyses ◽  
Geographic Regions ◽  
American Children

Purpose The purpose of this study was to investigate the relationship between oral language, literacy skills, age, and dialect density (DD) of African American children residing in two different geographical regions of the United States (East Coast and Midwest). Method Data were obtained from 64 African American school-age children between the ages of 7 and 12 years from two geographic regions. Children were assessed using a combination of standardized tests and narrative samples elicited from wordless picture books. Bivariate correlation and multiple regression analyses were used to determine relationships to and relative contributions of oral language, literacy, age, and geographic region to DD. Results Results of correlation analyses demonstrated a negative relationship between DD measures and children's literacy skills. Age-related findings between geographic regions indicated that the younger sample from the Midwest outscored the East Coast sample in reading comprehension and sentence complexity. Multiple regression analyses identified five variables (i.e., geographic region, age, mean length of utterance in morphemes, reading fluency, and phonological awareness) that accounted for 31% of the variance of children's DD—with geographic region emerging as the strongest predictor. Conclusions As in previous studies, the current study found an inverse relationship between DD and several literacy measures. Importantly, geographic region emerged as a strong predictor of DD. This finding highlights the need for a further study that goes beyond the mere description of relationships to comparing geographic regions and specifically focusing on racial composition, poverty, and school success measures through direct data collection.

THE EVALUATION OF SELF-MONITORING ATTRIBUTES

1991 ◽  
Vol 19 (3) ◽  
pp. 205-215 ◽  
Author(s):  
Arts Jiujias ◽  
Peter Horvath
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Analyses ◽  
Self Monitoring

Eighty-six Canadian female undergraduates attributed self-monitoring traits to a target presented on videotape, and evaluated her in terms of liking. Attributed self-monitoring was negatively correlated with attraction to the target and was the only predictor of attraction in a multiple regression analysis. Multiple regression analyses with subscales of attributed self-monitoring as predictors suggested that the evaluations may be the result of the attributed unpredictability of the high self-monitoring prototype.

Phenotypic selection in a population of Crepis tectorum ssp. pumila (Asteraceae)

1992 ◽  
Vol 70 (1) ◽  
pp. 89-95 ◽  
Author(s):  
Stefan Andersson
Keyword(s):  
Life History ◽  
Multiple Regression ◽  
Large Scale ◽  
Demographic Data ◽  
Phenotypic Selection ◽  
Direct Selection ◽  
Surprising Result ◽  
Regression Analyses ◽  
Ecotypic Differentiation ◽  
Crepis Tectorum

A 3-year demographic study was conducted to reveal targets of selection on morphology and life history in a population of Crepis tectorum ssp. pumila, a winter annual plant confined to calcareous grasslands (alvars) on the Baltic island of Öland (south Sweden). I calculated the selection differential to describe the change in the mean value of a character due to selection and used multiple regression analyses to partition the direct effect of selection on the trait from indirect responses of selection on other traits. Rosette leaf number, a convenient measure of plant size, was strongly correlated with both viability and fertility (fitness). There was also a strong relationship between fitness and the extent to which the plants expressed traits characterizing this particular taxon. Multiple regression analyses indicated direct selection favouring plants with deeply lobed leaves and a densely branched stem, two distinctive traits of ssp. pumila believed to be adaptive in the alvar habitat. Only stem height was subject to both direct and indirect selection in the wrong direction; taller individuals were more successful than those with a shorter stem, a surprising result considering the inferred advantage of a short stature in the exposed alvar habitat. Selection on other traits assumed to be ecologically important (germination time, flowering time, and seed size) was found to be either absent or variable in direction when other traits were held constant. The failure of plants to survive to the flowering stage in the last two summers indicates strong selection for plants that produce a high percentage of dormant seeds. Overall, the contemporary selection regime as revealed by demographic data was only partly congruent with predictions regarding historical selection pressures based on large-scale patterns of variation (ecotypic differentiation). Key words: Crepis tectorum, ecotypic differentiation, life history, morphology, phenotypic selection.

Copying, Reading, and Writing of Kana and Simple Forms by Japanese Preschoolers

1988 ◽  
Vol 66 (2) ◽  
pp. 387-394
Author(s):  
Jun Yamada ◽  
Miyuki Sasaki ◽  
Naoko Motooka
Keyword(s):  
Multiple Regression ◽  
Good Predictor ◽  
Quality Measure ◽  
Writing Achievement ◽  
Regression Analyses ◽  
Reading And Writing ◽  
Conventional Form ◽  
Form Quality ◽  
Japanese Kana ◽  
Children's Reading

42 Japanese preschoolers were administered tasks of copying, reading, and writing of Japanese kana (cursive syllabic letters) and simple forms. Multiple regression analyses were used to determine whether two kana-copying measures, speed and span, make significant contributions to children's reading and writing achievement after a conventional form-quality measure had been controlled. Analysis showed that speed or span accounts uniquely for a significant and sizable amount of the variance of reading and writing, suggesting that kana-copying is a good predictor of reading and writing for Japanese preschoolers.

Relationship Between Spirituality and Distress in Ascetics

2021 ◽  
pp. 003329412110434
Author(s):  
Rudra B. Bhandari ◽  
Nidhi Chaudhry ◽  
Sarita Devi
Keyword(s):  
Multiple Regression ◽  
Negative Relationship ◽  
Spiritual Intelligence ◽  
Self Report ◽  
Regression Analyses ◽  
Psychosomatic Health ◽  
Spirituality And Health ◽  
Medical Index ◽  
The Relationship ◽  
Health Questionnaires

The relation between spirituality and health has been argued for decades. The study aimed to ascertain the extent and nature of the relationship between spirituality quantified in terms of Spiritual Intelligence (SI) and distress in ascetics. Sixty-three Hindu ascetics aged 31.3 ± 6.6 years were sampled from Patanjali Yogpeeth, India. Participants’ distress and spiritual levels were measured by using the Cornell Medical Index Health Questionnaires (CMHIQs) and Spiritual Intelligence Self-Report Inventory-24 (SISRI-24), respectively. Multiple regression analyses showed an insignificant negative relationship between SI and distress implying SI as a predictor of psychosomatic health.

Predictors of quality of life and functioning in schizophrenia

2021 ◽  
Vol 25 (4) ◽  
pp. 341-356
Author(s):  
Octavia Căpățînă ◽  
◽  
Cristina Pojoga ◽  
Bogdan Savu ◽  
Mihaela Fadgyas-Stănculete ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Multiple Regression ◽  
Predictive Factors ◽  
Negative Symptoms ◽  
Clinical Symptoms ◽  
Cross Sectional Study ◽  
Regression Analyses ◽  
Cross Sectional ◽  
General Functioning

Background: In order to pursue recovery, Quality of life (QoL) and general functioning in patients with schizophrenia are milestones that need to be addressed in the treatment of the disease. The major aim of the present study was to examine the relationship between QoL, functionality and symptoms, and clinical characteristics of the disease, and to identify whether the two domains of negative symptoms, avolition/apathy and diminished expression, are predictive factors for the quality of life and functionality in patients diagnosed with schizophrenia. In the present cross-sectional study, 87 patients diagnosed with schizophrenia completed a thorough battery of instruments evaluating: clinical symptoms, stigma, QoL, functionality, socio-demographic and clinical variables. Multiple regression analyses were performed to test the significance of predictor variables for QoL and functionality. Multiple regression analyses revealed that internalized stigma, depression, and excitement were significant predictors for the variability of QoL, and experiential deficit and cognitive symptoms were significant predictors of the variability of functioning. In patients with schizophrenia, functioning and quality of life are two related but different constructs. Even though they are strongly associated, they have different predictive factors. The clinical implication of these results is that both of these constructs should be assessed and that the strategies for improving them should be different.

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