THE GUDJONSSON SUGGESTIBILITY SCALE (GSS): FURTHER DATA ON ITS RELIABILITY, VALIDITY, AND METACOGNITION CORRELATES

1998 ◽  
Vol 26 (2) ◽  
pp. 203-209 ◽  
Author(s):  
Harald Merckelbach ◽  
Peter Muris ◽  
Ineke Wessel ◽  
Peter J. van Koppen
Keyword(s):  
Experimental Study ◽  
Psychometric Properties ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Cognitive Efficiency ◽  
Cognitive Failures ◽  
Cognitive Failures Questionnaire

This article presents two studies in which the psychometric properties and validity of the Gudjonsson Suggestibility Scale (GSS) were further investigated. Results of the first study (N = 40) indicate that the GSS has reasonable internal consistency. Additionally, a modest, but significant test-retest stability was found for the GSS. As to the association between suggestibility and self-reported cognitive efficiency (i.e., metacognition measures), scores on the Yield dimension of the GSS were positively and significantly related to scores on the Dissociation Experiences Scale (DES), but not to scores on the Cognitive Failures Questionnaire (CFQ). In a second, experimental study (N = 53), evidence was found for the predictive validity of the GSS. In that study, subjects saw a slide series and were then confronted with leading questions about the critical (emotional) slide. In addition, they completed the Yield scale of the GSS. A small but significant correlation was found between subjects' Yield scores on the GSS and their susceptibility to leading questions about the slide series.

scholarly journals Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study (Preprint)

2020 ◽  
Author(s):  
Saskia Marion Kelders ◽  
Hanneke Kip ◽  
Japie Greeff
Keyword(s):  
Behavior Change ◽  
Psychometric Properties ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Digital Health ◽  
Internal Consistency Reliability ◽  
Divergent Validity ◽  
Time Points ◽  
Perceived Behavior

BACKGROUND Engagement emerges as a predictor for the effectiveness of digital health interventions. However, a shared understanding of engagement is missing. Therefore, a new scale has been developed that proposes a clear definition and creates a tool to measure it. The TWente Engagement with Ehealth Technologies Scale (TWEETS) is based on a systematic review and interviews with engaged health app users. It defines engagement as a combination of behavior, cognition, and affect. OBJECTIVE This paper aims to evaluate the psychometric properties of the TWEETS. In addition, a comparison is made with the experiential part of the Digital Behavior Change Intervention Engagement Scale (DBCI-ES-Ex), a scale that showed some issues in previous psychometric analyses. METHODS In this study, 288 participants were asked to use any step counter app on their smartphones for 2 weeks. They completed online questionnaires at 4 time points: T0=baseline, T1=after 1 day, T2=1 week, and T3=2 weeks. At T0, demographics and personality (conscientiousness and intellect/imagination) were assessed; at T1-T3, engagement, involvement, enjoyment, subjective usage, and perceived behavior change were included as measures that are theoretically related to our definition of engagement. Analyses focused on internal consistency, reliability, and the convergent, divergent, and predictive validity of both engagement scales. Convergent validity was assessed by correlating the engagement scales with involvement, enjoyment, and subjective usage; divergent validity was assessed by correlating the engagement scales with personality; and predictive validity was assessed by regression analyses using engagement to predict perceived behavior change at later time points. RESULTS The Cronbach alpha values of the TWEETS were .86, .86, and .87 on T1, T2, and T3, respectively. Exploratory factor analyses indicated that a 1-factor structure best fits the data. The TWEETS is moderately to strongly correlated with involvement and enjoyment (theoretically related to cognitive and affective engagement, respectively; <i>P</i>&lt;.001). Correlations between the TWEETS and frequency of use were nonsignificant or small, and differences between adherers and nonadherers on the TWEETS were significant (<i>P</i>&lt;.001). Correlations between personality and the TWEETS were nonsignificant. The TWEETS at T1 was predictive of perceived behavior change at T3, with an explained variance of 16%. The psychometric properties of the TWEETS and the DBCI-ES-Ex seemed comparable in some aspects (eg, internal consistency), and in other aspects, the TWEETS seemed somewhat superior (divergent and predictive validity). CONCLUSIONS The TWEETS performs quite well as an engagement measure with high internal consistency, reasonable test-retest reliability and convergent validity, good divergent validity, and reasonable predictive validity. As the psychometric quality of a scale is a reflection of how closely a scale matches the conceptualization of a concept, this paper is also an attempt to conceptualize and define engagement as a unique concept, providing a first step toward an acceptable standard of defining and measuring engagement.

Psychometric properties of the Cognitive Failures Questionnaire†

Ergonomics ◽  
2013 ◽  
Vol 56 (10) ◽  
pp. 1515-1524 ◽  
Author(s):  
Robert S. Bridger ◽  
Svein Åge Kjøs Johnsen ◽  
Kate Brasher
Keyword(s):  
Psychometric Properties ◽  
Cognitive Failures ◽  
Cognitive Failures Questionnaire

scholarly journals Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study

10.2196/17757 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e17757
Author(s):  
Saskia Marion Kelders ◽  
Hanneke Kip ◽  
Japie Greeff
Keyword(s):  
Behavior Change ◽  
Psychometric Properties ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Digital Health ◽  
Internal Consistency Reliability ◽  
Divergent Validity ◽  
Time Points ◽  
Perceived Behavior

Background Engagement emerges as a predictor for the effectiveness of digital health interventions. However, a shared understanding of engagement is missing. Therefore, a new scale has been developed that proposes a clear definition and creates a tool to measure it. The TWente Engagement with Ehealth Technologies Scale (TWEETS) is based on a systematic review and interviews with engaged health app users. It defines engagement as a combination of behavior, cognition, and affect. Objective This paper aims to evaluate the psychometric properties of the TWEETS. In addition, a comparison is made with the experiential part of the Digital Behavior Change Intervention Engagement Scale (DBCI-ES-Ex), a scale that showed some issues in previous psychometric analyses. Methods In this study, 288 participants were asked to use any step counter app on their smartphones for 2 weeks. They completed online questionnaires at 4 time points: T0=baseline, T1=after 1 day, T2=1 week, and T3=2 weeks. At T0, demographics and personality (conscientiousness and intellect/imagination) were assessed; at T1-T3, engagement, involvement, enjoyment, subjective usage, and perceived behavior change were included as measures that are theoretically related to our definition of engagement. Analyses focused on internal consistency, reliability, and the convergent, divergent, and predictive validity of both engagement scales. Convergent validity was assessed by correlating the engagement scales with involvement, enjoyment, and subjective usage; divergent validity was assessed by correlating the engagement scales with personality; and predictive validity was assessed by regression analyses using engagement to predict perceived behavior change at later time points. Results The Cronbach alpha values of the TWEETS were .86, .86, and .87 on T1, T2, and T3, respectively. Exploratory factor analyses indicated that a 1-factor structure best fits the data. The TWEETS is moderately to strongly correlated with involvement and enjoyment (theoretically related to cognitive and affective engagement, respectively; P<.001). Correlations between the TWEETS and frequency of use were nonsignificant or small, and differences between adherers and nonadherers on the TWEETS were significant (P<.001). Correlations between personality and the TWEETS were nonsignificant. The TWEETS at T1 was predictive of perceived behavior change at T3, with an explained variance of 16%. The psychometric properties of the TWEETS and the DBCI-ES-Ex seemed comparable in some aspects (eg, internal consistency), and in other aspects, the TWEETS seemed somewhat superior (divergent and predictive validity). Conclusions The TWEETS performs quite well as an engagement measure with high internal consistency, reasonable test-retest reliability and convergent validity, good divergent validity, and reasonable predictive validity. As the psychometric quality of a scale is a reflection of how closely a scale matches the conceptualization of a concept, this paper is also an attempt to conceptualize and define engagement as a unique concept, providing a first step toward an acceptable standard of defining and measuring engagement.

The Influence of Training Hispanics in Test Taking on the Psychometric Properties of a Test

1985 ◽  
Vol 16 (3) ◽  
pp. 177-183
Author(s):  
Maria M. Maspons ◽  
Maria M. Llabre
Keyword(s):  
College Students ◽  
Mathematics Achievement ◽  
Psychometric Properties ◽  
Predictive Validity ◽  
Internal Consistency ◽  
Educational Programs ◽  
Control Group ◽  
Hispanic College Students ◽  
Test Taking ◽  
Experimental Group

This study examined the effects of training Hispanic college students in test-taking skills on the internal consistency and predictive validity of a test to predict mathematics achievement. Five hundred and thirty-five students were randomly assigned to two groups. Students in the experimental group were instructed in test-taking skills. Students in the control group received information on the college's educational programs. On the basis of the results of a computation test, the students were placed in either a basic skills or an algebra course. The test had slightly lower internal consistency and higher predictive validity for the experimental group.

The Stigma of Suicide Scale

Crisis ◽  
2013 ◽  
Vol 34 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Philip J. Batterham ◽  
Alison L. Calear ◽  
Helen Christensen
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Internal Consistency ◽  
Concurrent Validity ◽  
Online Survey ◽  
National University ◽  
Stigmatizing Attitudes ◽  
High Internal Consistency ◽  
At Home

Background: There are presently no validated scales to adequately measure the stigma of suicide in the community. The Stigma of Suicide Scale (SOSS) is a new scale containing 58 descriptors of a “typical” person who completes suicide. Aims: To validate the SOSS as a tool for assessing stigma toward suicide, to examine the scale’s factor structure, and to assess correlates of stigmatizing attitudes. Method: In March 2010, 676 staff and students at the Australian National University completed the scale in an online survey. The construct validity of the SOSS was assessed by comparing its factors with factors extracted from the Suicide Opinion Questionnaire (SOQ). Results: Three factors were identified: stigma, isolation/depression, and glorification/normalization. Each factor had high internal consistency and strong concurrent validity with the Suicide Opinion Questionnaire. More than 25% of respondents agreed that people who suicided were “weak,” “reckless,” or “selfish.” Respondents who were female, who had a psychology degree, or who spoke only English at home were less stigmatizing. A 16-item version of the scale also demonstrated robust psychometric properties. Conclusions: The SOSS is the first attitudes scale designed to directly measure the stigma of suicide in the community. Results suggest that psychoeducation may successfully reduce stigma.

Assessing Social Skills in Health Professional Services

2005 ◽  
Vol 21 (3) ◽  
pp. 173-181
Author(s):  
Francisco Gil ◽  
Jesús Sanz ◽  
María Paz García-Vera ◽  
José M. León ◽  
Silvia Medina ◽  
...  
Keyword(s):  
Social Skills ◽  
Health Services ◽  
Health Professional ◽  
Aggressive Behavior ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Intervention Program ◽  
Professional Services ◽  
Quality Of Health Services

Abstract. The quality of health services depends on the contribution of all the professionals involved in the system, including certain groups, usually forgotten and underrated, such as the health-transport technicians (HTT). With the aim of improving this group's performance, an intervention program, focusing on the development of the workers' technical and social skills, was designed in a collective of enterprises. Information about the first stage of this program, consisting of the assessment of these workers' social skills, is offered in this study. A specific questionnaire was developed: The Health-Transport Technicians Social Skills Questionnaire (HTT-SSQ), made up of three scales (assertive, passive, and aggressive behavior). It was administered to a large sample (N = 530) from the above-mentioned association. The psychometric properties of the questionnaire were analyzed, with quite satisfactory indexes of internal consistency and factor validity, and the group's deficiencies (excess or deficit) were evaluated.

FACT-2 – The Frankfurt Adaptive Concentration Test

2009 ◽  
Vol 25 (2) ◽  
pp. 73-82 ◽  
Author(s):  
Frank Goldhammer ◽  
Helfried Moosbrugger ◽  
Sabine A. Krawietz
Keyword(s):  
Convergent Validity ◽  
Four Dimensions ◽  
Measurement Models ◽  
Cognitive Failures ◽  
Concentration Test ◽  
Cognitive Failures Questionnaire

The Frankfurt Adaptive Concentration Test (FACT-2) requires discrimination between geometric target and nontarget items as quickly and accurately as possible. Three forms of the FACT-2 were constructed, namely FACT-I, FACT-S, and FACT-SR. The aim of the present study was to investigate the convergent validity of the FACT-SR with self-reported cognitive failures. The FACT-SR and the Cognitive Failures Questionnaire (CFQ) were completed by 191 participants. The measurement models confirmed the concentration performance, concentration accuracy, and concentration homogeneity dimensions of FACT-SR. The four dimensions of the CFQ (i.e., memory, distractibility, blunders, and names) were not confirmed. The results showed moderate convergent validity of concentration performance, concentration accuracy, and concentration homogeneity with two CFQ dimensions, namely memory and distractibility/blunders.

Psychometric Properties of the German Version of the Scale to Assess the Therapeutic Relationship in Community Mental Health Care (D-STAR)

2012 ◽  
Vol 28 (4) ◽  
pp. 255-261 ◽  
Author(s):  
Sabine Loos ◽  
Reinhold Kilian ◽  
Thomas Becker ◽  
Birgit Janssen ◽  
Harald Freyberger ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Community Mental Health ◽  
Mental Health Care ◽  
Psychometric Properties ◽  
Therapeutic Relationship ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Community Mental Health Care ◽  
German Version

Objective: There are presently no instruments available in German language to assess the therapeutic relationship in psychiatric care. This study validates the German version of the Scale to Assess the Therapeutic Relationship in Community Mental Health Care (D-STAR). Method: 460 persons with severe mental illness and 154 clinicians who had participated in a multicenter RCT testing a discharge planning intervention completed the D-STAR. Psychometric properties were established via item analysis, analyses of missing values, internal consistency, and confirmatory factor analysis. Furthermore, convergent validity was scrutinized via calculating correlations of the D-STAR scales with two measures of treatment satisfaction. Results: As in the original English version, fit indices of a 3-factor model of the therapeutic relationship were only moderate. However, the feasibility and internal consistency of the D-STAR was good, and correlations with other measures suggested reasonable convergent validity. Conclusions: The psychometric properties of the D-STAR are acceptable. Its use can be recommended in German-speaking countries to assess the therapeutic relationship in both routine care and research.

Cognitive Failures Questionnaire

1982 ◽  
Author(s):  
D. E. Broadbent ◽  
P. F. Cooper ◽  
P. FitzGerald ◽  
K. R. Parkes
Keyword(s):  
Cognitive Failures ◽  
Cognitive Failures Questionnaire
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