Concurrent Cross-Validation of the Self-Appraisal Questionnaire: A Tool for Assessing Violent and Nonviolent Recidivism and Institutional Adjustment on a Sample of North Carolina Offenders

2004 ◽  
Vol 48 (1) ◽  
pp. 85-95 ◽  
Author(s):  
Wagdy Loza ◽  
Michael Conley ◽  
Birchie Warren
Keyword(s):  
North Carolina ◽  
Cross Validation ◽  
The Self ◽  
Institutional Adjustment

scholarly journals Can the Stream Quantification Tool (SQT) Protocol Predict the Biotic Condition of Streams in the Southeast Piedmont (USA)?

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1485 ◽  
Author(s):  
Sara Donatich ◽  
Barbara Doll ◽  
Jonathan Page ◽  
Natalie Nelson
Keyword(s):  
North Carolina ◽  
Cross Validation ◽  
Biological Function ◽  
Functional Change ◽  
Biotic Index ◽  
Watershed Hydrology ◽  
Community Metrics ◽  
Stream Functions ◽  
Watershed Condition ◽  
Ept Richness

In some states, the Stream Quantification Tool (SQT) has been adopted to quantify functional change of stream mitigation efforts. However, the ability of the SQT protocol to predict biological function and uphold the premise of the Stream Functions Pyramid (Pyramid) remains untested. Macroinvertebrate community metrics in 34 headwater streams in Piedmont, North Carolina (NC, USA) were related to NC SQT protocol (version 3.0) factors and other variables relevant to ecological function. Three statistical models, including stepwise, lasso, and ridge regression were used to predict the NC Biotic Index (NCBI) and Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness using two datasets: 21 SQT variables and the SQT variables plus 13 additional watershed, hydraulic, geomorphic, and physicochemical variables. Cross-validation revealed that stepwise and ridge outperformed lasso, and that the SQT variables can reasonably predict biology metrics (R2 0.53–0.64). Additional variables improved prediction (R2 0.70–0.88), suggesting that the SQT protocol is lacking metrics important to macroinvertebrates. Results moderately support the Pyramid: highly predictive ridge models included metrics from all levels, while highly predictive stepwise models included metrics from higher levels, and not watershed hydrology. Reach-scale metrics were more important than watershed hydrology, providing encouragement for projects limited by watershed condition.

Meaninglessness in the Second Half of Life: The Development of a Construct

1998 ◽  
Vol 47 (2) ◽  
pp. 81-104 ◽  
Author(s):  
Martine van Selm ◽  
Freya Dittmann-Kohli
Keyword(s):  
Cross Validation ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Self Esteem ◽  
The Self ◽  
Personal Meaning ◽  
Sentence Completion ◽  
Geriatric Depression ◽  
Cognitive Component ◽  
Tentative Explanation

A new construct of meaninglessness in the second half of life was presented. We found that four theoretically based components of the construct of meaninglessness were expressed in the self- and life-descriptions of 95 percent of 153 Dutch independently living aged adults (age between 58 to 90 years old). The self- and life-descriptions were assessed by a content analysis of participants' answers on a sentence completion questionnaire for personal meaning (SELE). With respect to the content of the components of meaninglessness, we found that a lack of goals and an impoverishment of meaning was responsible for most motivational meaninglessness. On the affective level, meaninglessness is far more characterized by dejection-related emotions, than by agitation-related emotions. Alienation from one's self, others, or society appeared to be characteristic for most of the cognitive component of meaninglessness. The self-evaluative component was mainly characterized by low self-esteem. A tentative explanation was presented for the differences in proportion of each of the components, pointing to the cumulative character of the construct itself. Meaninglessness correlates positively with the Geriatric Depression Scale (GDS) ( r = .37, p < .01) and negatively with the Sense of Coherence Questionnaire (SOCQ) ( r = −.31, p < .01), which contributes to the cross-validation of the construct.

The Coopersmith Self-Esteem Inventory as a Predictor of Feelings and Communication Satisfaction toward Parents among Learning Disabled, Emotionally Disturbed, and Normal Adolescents

1985 ◽  
Vol 45 (2) ◽  
pp. 389-395 ◽  
Author(s):  
Michael M. Omizo ◽  
Martin J. Amerikaner ◽  
William B. Michael
Keyword(s):  
Emotionally Disturbed ◽  
Cross Validation ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Learning Disabled ◽  
Self Esteem ◽  
Communication Satisfaction ◽  
The Self ◽  
Criterion Measure ◽  
Normal Adolescents

This study examined (1) the predictive validity of the Coopersmith Self-esteem Inventory (CSI) relative to each of the criterion measures representing communication satisfaction toward each parent as measured by Bienvenu's Adolescent Communication Inventory and feelings toward each parent as measured by Low-man's Inventory of Family Feelings and (2) the differential validity of the self-esteem, communication satisfaction, and feelings toward each parent measures serving as predictor variables of the nominal criterion measure of learning disabled (LD), emotionally disturbed (ED), and normal (N) adolescents. The sample included 60 adolescents with 20 in each of the three groups (LD, ED, or N). In fulfilling the first purpose, Pearson correlation coefficients were determined which revealed that the self-esteem measure was significantly correlated with the mother communication satisfaction measure ( r = .74, p <.01) and the feelings toward mothers measure ( r = .56, p <.01). Relative to the second purpose, discriminant analysis procedures revealed significant results for one function (Canonical correlation = .74, X2 = 46.30, Wilk's Lambda = .42, df = 14, p <.001). The self-esteem, mother communication satisfaction, and feelings toward mother measures were significant discriminators (all p <.01) between the LD and N and the ED and N groups. No significant differences were apparant between the LD and ED groups. The results provided some support for the validity of the CSI. It was recommended that replication and cross-validation studies be conducted.

The Leeds Scales for the Self-Assessment of Anxiety and Depression

1976 ◽  
Vol 128 (2) ◽  
pp. 156-165 ◽  
Author(s):  
R. P. Snaith ◽  
G. W. K. Bridge ◽  
Max Hamilton
Keyword(s):  
Rating Scales ◽  
Cross Validation ◽  
Item Analysis ◽  
Febrile Illness ◽  
The Self ◽  
Anxiety And Depression ◽  
Duration Of Treatment ◽  
Self Assessment ◽  
Diagnostic Score ◽  
Psychiatric State

SummarySelf-rating scales are finding an increasing use in psychiatric work. Not only are they widely used in research, but they provide the clinician with a score indicating the patient's psychiatric state at any one time, and these scores if repeated throughout the duration of treatment may be considered to provide a continuing measure of the severity of the illness, as does a temperature chart in a febrile illness. Most scales could be improved by item analysis, and in this study the Wakefield Self-Assessment of Depression Inventory, with added items, was subjected to statistical analysis. It was found that valid scales could be constructed for the measurement of anxiety and of depression in general psychiatric disorder, as well as scales for the measurement of the severity of endogenous (primary) depression and of anxiety states. In addition, the derivation of a ‘diagnostic’ score was confirmed in a cross-validation study and may be found of use both in research and in clinical practice.

scholarly journals Self-Control, Self-Management and Entrepreneurship in Brazilian Creative Industries

2016 ◽  
Vol 26 (63) ◽  
pp. 25-33 ◽  
Author(s):  
Pedro F. Bendassolli ◽  
Jairo Eduardo Borges-Andrade ◽  
Sonia Maria Guedes Gondim
Keyword(s):  
Cross Validation ◽  
Self Regulation ◽  
Creative Industries ◽  
The Self ◽  
Self Control ◽  
Self Management ◽  
Self Monitoring ◽  
Self Evaluation ◽  
Significant Difference ◽  
Three Factor

Abstract Creative entrepreneurship has gained ground in recent years with the advent of creative industries. The capabilitiesto set targets and individually self-regulate have been indicated as predictors of entrepreneurship. This study aims to identify validity characteristics of a self-regulation scale and to test if score differences are related to whether or not one is an entrepreneur, personalcharacteristics, or the activity sector. A total of 596 professionals from creative industries in Brazil participated in this study. The self-control and self-management scale (SCMS) has been applied; it has been translated and adapted to Portuguese. Cross-validation analysis has been done. The results support the three-factor structure of the scale. Entrepreneurs tended to indicate higher means in the self-evaluation factor than non-entrepreneurs. Activity sector, gender and schooling demonstrated a significant difference in the self-monitoring factor.

Improvement of Chaotic Signals De-Noising with the Self-Optimizing Method of Wavelet Threshold

2014 ◽  
Vol 556-562 ◽  
pp. 4950-4954
Author(s):  
Xiu Lei Wei ◽  
Rui Lin Lin ◽  
Shu Yong Liu ◽  
Qiang Wang
Keyword(s):  
Time Series ◽  
Adaptive Filters ◽  
Cross Validation ◽  
Memetic Algorithm ◽  
Absolute Error ◽  
Global Optimum ◽  
The Self ◽  
Adaptive Performance ◽  
Adaptive Wavelet ◽  
Chaotic Signals

For the purpose of improving adaptive performance of chaotic signals de-noising with wavelet transform, a method of Memetic-algorithm-based adaptive wavelet de-noising (MAWD) is presented. The MAWD based on generalized cross validation (GCV) is competent to obtain the global optimum thresholds and to raise the efficiency of adaptive searching computation. The de-noising results of simulative Lorenz time series are presented. The results show that the chaotic signals de-noised by MAWD can remove the white noise more effectively than the signals de-noised by using standard soft threshoding method (STM) and genetic-algorithm-based adaptive wavelet de-noising (GAWD), and the advantages are more apparent under the condition of lower SNR. The Lorenz time series with lower SNR de-noised by MAWD and GAWD respectively are predicted by Volterra adaptive filters, and the results show that the prediction absolute error of Lorenz time series de-noised by MAWD is nearly nine times smaller than that by GAWD. This method has a promising prospect in practical Chaotic signals de-noising.

Cross-Validation of the Self-Motivation Inventory

1987 ◽  
Vol 9 (4) ◽  
pp. 394-399 ◽  
Author(s):  
Elaine M. Heiby ◽  
Robin A. Sato
Keyword(s):  
Cross Validation ◽  
The Self
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