Development and Initial Application of the General Validity Scale Model in Constructing Validity Scales for the Co-Parenting Behavior Questionnaire

2011 ◽  
Author(s):  
Kimberly M. Parker ◽  
Arnold L. Stolberg
2021 ◽  
Vol 72 (2) ◽  
pp. 131-142
Author(s):  
Ahmet Bora Kırklıkçı ◽  
Tarık Gedik

Institutionalization is necessary for corporations to prevent economic, financial, legal, administrative, and technical chaos and thus improve performance. The concept of performance is the most supporting tool in conducting the control function in business management. While the amount of input and products in the forest industry in Turkey is rising, institutionalization is inadequate. This study attempts to methodologically develop and test scales for perceived institutionalization and perceived performance in furniture and panel businesses, which are two sub-sectors of the forest industry. Data was obtained in 35 cities between March and July 2017, through face-to-face interviews with 797 employees in 462 furniture businesses and 31 panel businesses. In the analysis of the study, content validity of the scales was evaluated through expert opinion and initial application, while construct validity was assessed by EFA and CFA. Cronbach alpha coefficient, CR, and AVE were used to evaluate reliability, while the suitability of perceived institutionalization and performance scale model was assessed through SEM. The scales have high reliability and validity, and an improvement in the institutionalization level of a business will result in improvements in performance (r=0.98). Through this methodological study, scales for perceived institutionalization and perceived performance in furniture and panel businesses operating in Turkey and the relationship between perceived institutionalization and perceived performance were explained by a model.


1993 ◽  
Vol 76 (2) ◽  
pp. 631-634 ◽  
Author(s):  
Charles L. Spirrison ◽  
Constance C. Gordy

The Constructive Thinking Inventory and a proofreading task were completed by 193 undergraduates. Pearson and first-order partial correlations assessed relationships between scores on the inventory and number of errors detected during the proofreading task. The CTI Naive Optimism and Validity Scales were significantly associated with proofreading performance. The results support the validity of the CTI Validity Scale.


Assessment ◽  
2015 ◽  
Vol 24 (5) ◽  
pp. 555-574 ◽  
Author(s):  
Adam H. Crighton ◽  
Anthony M. Tarescavage ◽  
Roger O. Gervais ◽  
Yossef S. Ben-Porath

Elevated overreporting Validity Scale scores on the Minnesota Multiphasic Personality Inventory–2–Restructured Form (MMPI-2-RF) are associated with higher scores on collateral measures; however, measures used in prior research lacked validity scales. We sought to extend these findings by examining associations between elevated MMPI-2-RF overreporting scale scores and Personality Assessment Inventory (PAI) scale scores among 654 non–head injury civil disability claimants. Individuals were classified as overreporting psychopathology (OR-P), overreporting somatic/cognitive complaints (OR-SC), inconclusive reporting psychopathology (IR-P), inconclusive reporting somatic/cognitive complaints (IR-SC), or valid reporting (VR). Both overreporting groups had significantly and meaningfully higher scores than the VR group on the MMPI-2-RF and PAI scales. Both IR groups had significantly and meaningfully higher scores than the VR group, as well as lower scores than their overreporting counterparts. Our findings demonstrate the utility of inventories with validity scales in assessment batteries that include instruments without measures of protocol validity.


2020 ◽  
Vol 35 (6) ◽  
pp. 1025-1025
Author(s):  
Rolin S ◽  
Kolaski A ◽  
Davis J

Abstract Objective In addition to the standard validity scales, the MMPI-2-RF Somatic/Cognitive Scales (SCS) are associated with symptom validity in veteran and epilepsy samples. The Neurobehavioral Symptom Inventory (NSI) is a self-report questionnaire with an embedded symptom validity index (Validity-10) developed by examining endorsement on atypical neurological items. The current study examined relationships among symptom validity and SCS in a physical medicine and rehabilitation sample. Method Participants underwent outpatient evaluation with the MMPI-2-RF and NSI among other measures. Cases with invalid MMPI-2-RF (TRIN or VRIN>79; Cannot Say>14) were excluded (n = 5). The sample (N = 120) was 43% female and 96% white with average age and education of 41 (SD = 13) and 14 (SD = 2) years, respectively. A linear regression model was examined with Valdity-10 as outcome and SCS as predictors. Participants were grouped by Validity-10 cutoff (>18). SCS were examined with receiver operating characteristic analysis and compared to the MMPI-2-RF Symptom Validity Scale (FBS). Results A regression model predicting Validity-10 was significant (p < .001; R-squared = .51). Gastrointestinal complaints and neurologic complaints (NUC) scales made independent contributions with standardized beta-weights of .18 and .43, respectively. Twenty-seven percent of participants scored above cutoff on the Validity-10. NUC showed area under the curve (AUC) of .78 predicting Validity-10 status, which was not significantly different from the FBS AUC of .81. A NUC cutoff of 91 or higher showed 34% sensitivity and 93% specificity. Conclusion MMPI-2-RF SCS are associated with symptom validity as determined by the NSI Validity-10. In this rehabilitation sample, NUC was comparable to FBS in classifying participants grouped by symptom validity.


GeroPsych ◽  
2011 ◽  
Vol 24 (4) ◽  
pp. 169-176 ◽  
Author(s):  
Philippe Rast ◽  
Daniel Zimprich

In order to model within-person (WP) variance in a reaction time task, we applied a mixed location scale model using 335 participants from the second wave of the Zurich Longitudinal Study on Cognitive Aging. The age of the respondents and the performance in another reaction time task were used to explain individual differences in the WP variance. To account for larger variances due to slower reaction times, we also used the average of the predicted individual reaction time (RT) as a predictor for the WP variability. Here, the WP variability was a function of the mean. At the same time, older participants were more variable and those with better performance in another RT task were more consistent in their responses.


2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.


1995 ◽  
Vol 11 (1) ◽  
pp. 14-20 ◽  
Author(s):  
Sean M. Hammond

This paper presents an IRT analysis of the Beck Depression Inventory which was carried out to assess the assumption of an underlying latent trait common to non-clinical and patient samples. A one parameter rating scale model was fitted to data drawn from a patient and non-patient sample. Findings suggest that while the BDI fits the model reasonably well for the two samples separately there is sufficient differential item functioning to raise serious duobts of the viability of using it analogously with patient and non-patient groups.


Methodology ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 95-108 ◽  
Author(s):  
Steffen Nestler ◽  
Katharina Geukes ◽  
Mitja D. Back

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.


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