Pub Date : 2022-10-01DOI: 10.1026/0012-1924/a000299
M. Wirtz, R. Soellner
{"title":"Gesundheitskompetenz","authors":"M. Wirtz, R. Soellner","doi":"10.1026/0012-1924/a000299","DOIUrl":"https://doi.org/10.1026/0012-1924/a000299","url":null,"abstract":"","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46097345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1026/0012-1924/a000294
M. Reder, R. Soellner
Abstract. The dimensionality of the eHEALS has been the subject of some controversy. Sample populations and language versions vary widely, as do the employed statistical methods to assess dimensionality. In previous research, we assessed the factor structure in two different samples testing 1 vs. 2 and 1 vs. 2 vs. 3 correlated factors. The objective of this reanalysis was to assess whether the 3-factor model fitted better than the 2- and 1-factor models. We analyzed data from a 2009 cross-sectional survey on health literacy in grade 12 ( n = 327) using CFA. All factor models of the eHEALS showed unsatisfactory model fit. A subsequent exploratory bifactor analysis confirmed multidimensionality and indicated that Item 2 was problematic. When this item was excluded from the correlated factor models, model fit improved, and the 3-factor model showed the best fit. The results in our sample of 12th-grade students offer some support to the German eHEALS having a 3-factor structure similar to the results from our previous research in women aged 50. The replicability of the fit pattern in a different sample and setting was limited by diverging results on Item 2.
摘要eheal的次元一直是一些争议的主题。样本人口和语言版本差异很大，评估维度的统计方法也有很大差异。在之前的研究中，我们评估了两个不同样本的因子结构，分别测试1 vs. 2和1 vs. 2 vs. 3相关因子。这次再分析的目的是评估3因素模型是否比2和1因素模型更适合。我们使用CFA分析了2009年12年级健康素养横断面调查的数据(n = 327)。eHEALS的各因子模型均显示模型拟合不理想。随后的探索性双因子分析证实了多维性，并指出第2项存在问题。当从相关因子模型中剔除这一项后，模型拟合得到改善，其中3因子模型拟合效果最佳。我们在12年级学生样本中的结果为德国eHEALS提供了一些支持，该eHEALS具有与我们之前在50岁女性中研究的结果相似的三因素结构。在不同的样本和环境中，拟合模式的可重复性受到项目2结果差异的限制。
{"title":"Factor Structure of the eHEALS","authors":"M. Reder, R. Soellner","doi":"10.1026/0012-1924/a000294","DOIUrl":"https://doi.org/10.1026/0012-1924/a000294","url":null,"abstract":"Abstract. The dimensionality of the eHEALS has been the subject of some controversy. Sample populations and language versions vary widely, as do the employed statistical methods to assess dimensionality. In previous research, we assessed the factor structure in two different samples testing 1 vs. 2 and 1 vs. 2 vs. 3 correlated factors. The objective of this reanalysis was to assess whether the 3-factor model fitted better than the 2- and 1-factor models. We analyzed data from a 2009 cross-sectional survey on health literacy in grade 12 ( n = 327) using CFA. All factor models of the eHEALS showed unsatisfactory model fit. A subsequent exploratory bifactor analysis confirmed multidimensionality and indicated that Item 2 was problematic. When this item was excluded from the correlated factor models, model fit improved, and the 3-factor model showed the best fit. The results in our sample of 12th-grade students offer some support to the German eHEALS having a 3-factor structure similar to the results from our previous research in women aged 50. The replicability of the fit pattern in a different sample and setting was limited by diverging results on Item 2.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48949741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1026/0012-1924/a000298
A. A. Schulz, C. Dresch, Andrea Heiberger, M. Wirtz
Abstract. Appropriate parental health literacy (HL) is essential to preventively maintain and promote child health. Understanding health information is assumed to be fundamental in HL models. We developed N = 67 items (multiple-choice format) based on information materials on early childhood allergy prevention (ECAP) and prevention of COVID-19 infections to assess the parental HL facet Understand. N = 343 pregnant women and mothers of infants completed the items in an online assessment. Using exploratory factor analysis for ordinal data (RML estimation) and item response models (1-pl and 2-pl model), we proved the psychometric homogeneity of the item pool. 57 items assess the latent dimension Understand according to the assumptions of the 1-pl model (weighted MNSQ < 1.2; separation reliability = .855). Person parameters of the latent trait Understand correlate specifically with subjective socioeconomic status ( r = .27), school graduation ( r = .46), allergy status ( r = .11), and already infected with COVID-19 ( r = .12). The calibrated item pool provides a psychometrically sound, construct-valid assessment of the HL facet Understand Health Information in the areas of ECAP and prevention of COVID-19 infections.
{"title":"Use of Item Response Models in Assessing the Health Literacy Facet Understanding Health Information for Early Childhood Allergy Prevention and Prevention of COVID-19 Infections by Pregnant Women and Mothers of Infants","authors":"A. A. Schulz, C. Dresch, Andrea Heiberger, M. Wirtz","doi":"10.1026/0012-1924/a000298","DOIUrl":"https://doi.org/10.1026/0012-1924/a000298","url":null,"abstract":"Abstract. Appropriate parental health literacy (HL) is essential to preventively maintain and promote child health. Understanding health information is assumed to be fundamental in HL models. We developed N = 67 items (multiple-choice format) based on information materials on early childhood allergy prevention (ECAP) and prevention of COVID-19 infections to assess the parental HL facet Understand. N = 343 pregnant women and mothers of infants completed the items in an online assessment. Using exploratory factor analysis for ordinal data (RML estimation) and item response models (1-pl and 2-pl model), we proved the psychometric homogeneity of the item pool. 57 items assess the latent dimension Understand according to the assumptions of the 1-pl model (weighted MNSQ < 1.2; separation reliability = .855). Person parameters of the latent trait Understand correlate specifically with subjective socioeconomic status ( r = .27), school graduation ( r = .46), allergy status ( r = .11), and already infected with COVID-19 ( r = .12). The calibrated item pool provides a psychometrically sound, construct-valid assessment of the HL facet Understand Health Information in the areas of ECAP and prevention of COVID-19 infections.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47747259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1026/0012-1924/a000297
S. Seifert, Katharina Maitz, Dominik Pendl, B. Gasteiger-Klicpera
Zusammenfassung. Instrumente zur Messung von Gesundheitskompetenz bei Jugendlichen basieren auf sehr heterogenen Definitionen und Konzepten. Zudem können sie grundsätzlich in subjektive (Selbsteinschätzungs–) und objektive (die Performanz messende) Verfahren unterteilt werden. In der vorliegenden Studie wurden 2 subjektive (eHEALS; Kurzform des HLS-EU-Q16) und ein objektives Messinstrument (Claim) von 471 Jugendlichen der 6. und 7. Klassenstufe (Durchschnittsalter 13.04 Jahre; 49 % Mädchen; 63 % Familiensprache Deutsch) bearbeitet und auf ihren wechselseitigen Zusammenhang, den Zusammenhang mit kognitiven und Lesefähigkeiten, sowie Unterschiede in Bezug auf Geschlecht und Familiensprache untersucht. Das objektive Verfahren korrelierte nicht mit den subjektiven Verfahren. Dies bestätigt die Annahme, dass sie aufgrund der Messperspektive unterschiedliche Indikatorenausprägungen von Gesundheitskompetenz erfassen. Korrelationen mit Lese- und kognitiven Fähigkeiten zeigten sich nur beim objektiven Instrument, wohingegen die Selbsteinschätzungsinstrumente diese Aspekte der Gesundheitskompetenz nicht abbilden. Unterschiede hinsichtlich des Geschlechts und der Familiensprache zeigten sich insbesondere beim objektiven Instrument, allerdings sind Antwortverzerrungen bei Selbsteinschätzungen möglich. Die spezifischen Vor- und Nachteile von subjektiven und objektiven Verfahren sollten bei der Instrumentenauswahl berücksichtigt werden.
{"title":"Vergleich unterschiedlicher Instrumente zur Messung von Gesundheitskompetenz im Zusammenhang mit Lesekompetenz und kognitiven Fähigkeiten von Jugendlichen","authors":"S. Seifert, Katharina Maitz, Dominik Pendl, B. Gasteiger-Klicpera","doi":"10.1026/0012-1924/a000297","DOIUrl":"https://doi.org/10.1026/0012-1924/a000297","url":null,"abstract":"Zusammenfassung. Instrumente zur Messung von Gesundheitskompetenz bei Jugendlichen basieren auf sehr heterogenen Definitionen und Konzepten. Zudem können sie grundsätzlich in subjektive (Selbsteinschätzungs–) und objektive (die Performanz messende) Verfahren unterteilt werden. In der vorliegenden Studie wurden 2 subjektive (eHEALS; Kurzform des HLS-EU-Q16) und ein objektives Messinstrument (Claim) von 471 Jugendlichen der 6. und 7. Klassenstufe (Durchschnittsalter 13.04 Jahre; 49 % Mädchen; 63 % Familiensprache Deutsch) bearbeitet und auf ihren wechselseitigen Zusammenhang, den Zusammenhang mit kognitiven und Lesefähigkeiten, sowie Unterschiede in Bezug auf Geschlecht und Familiensprache untersucht. Das objektive Verfahren korrelierte nicht mit den subjektiven Verfahren. Dies bestätigt die Annahme, dass sie aufgrund der Messperspektive unterschiedliche Indikatorenausprägungen von Gesundheitskompetenz erfassen. Korrelationen mit Lese- und kognitiven Fähigkeiten zeigten sich nur beim objektiven Instrument, wohingegen die Selbsteinschätzungsinstrumente diese Aspekte der Gesundheitskompetenz nicht abbilden. Unterschiede hinsichtlich des Geschlechts und der Familiensprache zeigten sich insbesondere beim objektiven Instrument, allerdings sind Antwortverzerrungen bei Selbsteinschätzungen möglich. Die spezifischen Vor- und Nachteile von subjektiven und objektiven Verfahren sollten bei der Instrumentenauswahl berücksichtigt werden.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48951510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1026/0012-1924/a000295
M. Wirtz, C. Dresch, Andrea Heiberger, A. A. Schulz
Abstract. The health literacy (HL) facet Access to health information is measured in the European Health Literacy Survey (HLS-EU-Q47) by 12 items. To assess Access, we developed adapted item formulations for COVID-19 infection prevention (COVID-19-IP) and early childhood allergy prevention (ECAP) in addition to the original 12 items on General Health (GH). N = 343 (expectant) mothers of infants answered the items in an online assessment. Confirmatory structural analyses for ordinal data were adopted (WLSMV-algorithm). Women’s item ratings varied significantly across domains (η2 = .017 – .552). Bi-factor models exhibited the best data fit (GH / COVID-19-IP / ECAP: CFI = .964 / .968 / .977; SRMR: .062 / .069 / .035): The general factor Access most strongly determined item information. Additionally, three subfactors contributed significantly (but rather weakly) to the item information in each domain. The overall score Access proved to be internally consistent (McDonald’s ωGH/COVID-19-IP/ECAP = .874 / .883 / .897) and was associated with socioeconomic state (McArthur scale; rGH/COVID-19-IP/ECAP = .218 / .210 / .146). Access correlated not or only weakly with the other HL facets Understand, Appraise, and Apply. The health domains GH, COVID-19-IP, and ECAP moderated both the difficulty and the dimensional structure of the 12 Access items. This suggests that in the HLS-EU Access reflects not only the search competence but also the availability of health information.
{"title":"Structural Analysis of the Health Literacy Facet Access to Information on General Health, COVID-19 Infection Prevention, and Early Childhood Allergy Prevention in Pregnant Women and Mothers of Infants","authors":"M. Wirtz, C. Dresch, Andrea Heiberger, A. A. Schulz","doi":"10.1026/0012-1924/a000295","DOIUrl":"https://doi.org/10.1026/0012-1924/a000295","url":null,"abstract":"Abstract. The health literacy (HL) facet Access to health information is measured in the European Health Literacy Survey (HLS-EU-Q47) by 12 items. To assess Access, we developed adapted item formulations for COVID-19 infection prevention (COVID-19-IP) and early childhood allergy prevention (ECAP) in addition to the original 12 items on General Health (GH). N = 343 (expectant) mothers of infants answered the items in an online assessment. Confirmatory structural analyses for ordinal data were adopted (WLSMV-algorithm). Women’s item ratings varied significantly across domains (η2 = .017 – .552). Bi-factor models exhibited the best data fit (GH / COVID-19-IP / ECAP: CFI = .964 / .968 / .977; SRMR: .062 / .069 / .035): The general factor Access most strongly determined item information. Additionally, three subfactors contributed significantly (but rather weakly) to the item information in each domain. The overall score Access proved to be internally consistent (McDonald’s ωGH/COVID-19-IP/ECAP = .874 / .883 / .897) and was associated with socioeconomic state (McArthur scale; rGH/COVID-19-IP/ECAP = .218 / .210 / .146). Access correlated not or only weakly with the other HL facets Understand, Appraise, and Apply. The health domains GH, COVID-19-IP, and ECAP moderated both the difficulty and the dimensional structure of the 12 Access items. This suggests that in the HLS-EU Access reflects not only the search competence but also the availability of health information.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47768083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1026/0012-1924/a000296
Saskia M. Fischer, K. Dadaczynski, G. Sudeck, K. Rathmann, O. Paakkari, L. Paakkari, L. Bilz, the Hbsc Study Group Germany
Abstract. Health literacy can help explain health inequalities in childhood and adolescence. However, suitable instruments for assessing health literacy in this age group are rare, especially in the German-speaking countries. One economical measure is the 10-item Health Literacy in School-Aged Children (HLSAC) scale, developed and reviewed as part of the WHO Child and Adolescent Health Study (HBSC, Health Behavior in School-Aged Children). In the present study, we tested dimensionality, measurement invariance, and associations with health-related measures of the German version of the scale (HLSAC–German), using data from the 2018 national German HBSC study ( N = 4,347 students aged 11, 13, and 15 years). We also tested HLSAC–German with 11-year-olds, representing an expansion of the original scale. Exploratory and confirmatory factor analyses consistently demonstrated the unidimensionality of the scale (α = .88). Complete scalar measurement invariance was found for sex and partial scalar measurement invariance for age groups and school type, allowing for the comparison of means. Associations with indicators of health and health behavior further demonstrate the construct validity of the scale. The analyses show that the scale is suitable for the economic measurement of a general factor of health literacy in 11- as well as in 13- and 15-year-olds.
{"title":"Measuring Health Literacy in Childhood and Adolescence with the Scale Health Literacy in School-Aged Children – German Version","authors":"Saskia M. Fischer, K. Dadaczynski, G. Sudeck, K. Rathmann, O. Paakkari, L. Paakkari, L. Bilz, the Hbsc Study Group Germany","doi":"10.1026/0012-1924/a000296","DOIUrl":"https://doi.org/10.1026/0012-1924/a000296","url":null,"abstract":"Abstract. Health literacy can help explain health inequalities in childhood and adolescence. However, suitable instruments for assessing health literacy in this age group are rare, especially in the German-speaking countries. One economical measure is the 10-item Health Literacy in School-Aged Children (HLSAC) scale, developed and reviewed as part of the WHO Child and Adolescent Health Study (HBSC, Health Behavior in School-Aged Children). In the present study, we tested dimensionality, measurement invariance, and associations with health-related measures of the German version of the scale (HLSAC–German), using data from the 2018 national German HBSC study ( N = 4,347 students aged 11, 13, and 15 years). We also tested HLSAC–German with 11-year-olds, representing an expansion of the original scale. Exploratory and confirmatory factor analyses consistently demonstrated the unidimensionality of the scale (α = .88). Complete scalar measurement invariance was found for sex and partial scalar measurement invariance for age groups and school type, allowing for the comparison of means. Associations with indicators of health and health behavior further demonstrate the construct validity of the scale. The analyses show that the scale is suitable for the economic measurement of a general factor of health literacy in 11- as well as in 13- and 15-year-olds.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48071084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-23DOI: 10.1026/0012-1924/a000302
B. Hell, Fabian Buri
Zusammenfassung. Das Instrument Explorix, eine Adaptation des Testverfahrens Self-Directed Search (SDS) von John Holland für den deutschsprachigen Raum, wird in einer Serie von Analysen psychometrisch evaluiert. Grundlage ist ein Datensatz mit N = 40 053 (56 % weiblich) Personen. Aufbauend auf Item- und Skalenanalysen werden eine Multitrait-Multimethod-Analyse, konfirmatorische Faktorenanalysen sowie weitere Methoden zur Prüfung der zugrundeliegenden Strukturhypothese angewendet. Die Item- und Skalenqualität erfüllt oder übertrifft in weiten Teilen die Anforderungen an die Qualität psychometrischer Verfahren. Die MTMM-Analyse und auch die Faktorenanalysen untermauern überdies die konvergente und divergente Validität der verschiedenen Testabschnitte. Schwächen zeigt Explorix im Hinblick auf die zugrundeliegende Strukturhypothese sowie in der Berücksichtigung neuer Berufs- und Interessenfelder.
{"title":"Psychometrische Überprüfung des Berufswahl- und Laufbahnplanungsinstruments Explorix","authors":"B. Hell, Fabian Buri","doi":"10.1026/0012-1924/a000302","DOIUrl":"https://doi.org/10.1026/0012-1924/a000302","url":null,"abstract":"Zusammenfassung. Das Instrument Explorix, eine Adaptation des Testverfahrens Self-Directed Search (SDS) von John Holland für den deutschsprachigen Raum, wird in einer Serie von Analysen psychometrisch evaluiert. Grundlage ist ein Datensatz mit N = 40 053 (56 % weiblich) Personen. Aufbauend auf Item- und Skalenanalysen werden eine Multitrait-Multimethod-Analyse, konfirmatorische Faktorenanalysen sowie weitere Methoden zur Prüfung der zugrundeliegenden Strukturhypothese angewendet. Die Item- und Skalenqualität erfüllt oder übertrifft in weiten Teilen die Anforderungen an die Qualität psychometrischer Verfahren. Die MTMM-Analyse und auch die Faktorenanalysen untermauern überdies die konvergente und divergente Validität der verschiedenen Testabschnitte. Schwächen zeigt Explorix im Hinblick auf die zugrundeliegende Strukturhypothese sowie in der Berücksichtigung neuer Berufs- und Interessenfelder.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48370437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-23DOI: 10.1026/0012-1924/a000301
Daniel Reichl, N. Enewoldsen, M. Berking, Lukas M. Fuhrmann, Catharina Lang, Sebastian Saur, Kiona K. Weisel, S. Steins-Loeber
Zusammenfassung. Konsumvariablen und Abstinenz scheinen unzureichend zur Erfassung der Genesung bei Personen mit einer Alkoholkonsumstörung. Stattdessen rücken patientenzentrierte Indikatoren wie die Lebensqualität zunehmend in den Vordergrund. Um den Forderungen adäquater Messinstrumente gerecht zu werden, wurde der Substance Use Recovery Evaluator von Neale et al. (2016 ) übersetzt und in verschiedenen Stichproben mit Alkoholkonsumstörung nach Entzugsbehandlung psychometrisch evaluiert. In der ersten Teilstichprobe ( n = 135) wurde explorativ die Faktorenstruktur identifiziert sowie Reliabilitäts- und Validitätsmaße (Zusammenhänge mit Alkoholkonsum, Craving und gesundheitsbezogener Lebensqualität) berechnet. In der zweiten Stichprobe ( n = 120) wurde die gefundene Struktur konfirmatorisch geprüft. Das Verfahren erwies sich als reliabel und valide. Die im Original vorgeschlagene fünffaktorielle Struktur zeigte einen guten Fit, wenn auch in der vorliegenden Studie eine dreifaktorielle Struktur etwas geeigneter erschien. Diese Ergebnisse wurden in einer dritten Stichprobe ( n = 224) größtenteils gestützt. Trotz Limitationen (z. B. kleine Stichprobe) erwies sich der deutsche SURE als psychometrisch abgesicherter Indikator der Genesung von einer Alkoholkonsumstörung.
{"title":"Psychometrische Evaluation der deutschen Version des Substance Use Recovery Evaluator (SURE)","authors":"Daniel Reichl, N. Enewoldsen, M. Berking, Lukas M. Fuhrmann, Catharina Lang, Sebastian Saur, Kiona K. Weisel, S. Steins-Loeber","doi":"10.1026/0012-1924/a000301","DOIUrl":"https://doi.org/10.1026/0012-1924/a000301","url":null,"abstract":"Zusammenfassung. Konsumvariablen und Abstinenz scheinen unzureichend zur Erfassung der Genesung bei Personen mit einer Alkoholkonsumstörung. Stattdessen rücken patientenzentrierte Indikatoren wie die Lebensqualität zunehmend in den Vordergrund. Um den Forderungen adäquater Messinstrumente gerecht zu werden, wurde der Substance Use Recovery Evaluator von Neale et al. (2016 ) übersetzt und in verschiedenen Stichproben mit Alkoholkonsumstörung nach Entzugsbehandlung psychometrisch evaluiert. In der ersten Teilstichprobe ( n = 135) wurde explorativ die Faktorenstruktur identifiziert sowie Reliabilitäts- und Validitätsmaße (Zusammenhänge mit Alkoholkonsum, Craving und gesundheitsbezogener Lebensqualität) berechnet. In der zweiten Stichprobe ( n = 120) wurde die gefundene Struktur konfirmatorisch geprüft. Das Verfahren erwies sich als reliabel und valide. Die im Original vorgeschlagene fünffaktorielle Struktur zeigte einen guten Fit, wenn auch in der vorliegenden Studie eine dreifaktorielle Struktur etwas geeigneter erschien. Diese Ergebnisse wurden in einer dritten Stichprobe ( n = 224) größtenteils gestützt. Trotz Limitationen (z. B. kleine Stichprobe) erwies sich der deutsche SURE als psychometrisch abgesicherter Indikator der Genesung von einer Alkoholkonsumstörung.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43775005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-05DOI: 10.1026/0012-1924/a000300
R. Pietrowsky, A. Schmitz, N. Zink, Annika Gieselmann
Zusammenfassung. Vorgestellt wird die Entwicklung und testpsychologische Evaluation des Multidimensionalen Düsseldorfer Trauminventars (MDTI), eines Fragebogens zur Erfassung des Traumerlebens unabhängig vom Trauminhalt. Dazu wurde eine Vorläuferversion, das Düsseldorfer Trauminventar (DTI; 51 Items), einer Stichprobe aus N = 715 vorgelegt, welche über E-Mail-Verteiler an Universitäten, sozialen Netzwerke sowie Medizin- und Traumforen rekrutiert und zu einem digitalen Fragebogenformular weitergeleitet wurden. Die Stichprobe bestand aus n = 444 weiblichen (62 %) und n = 270 männlichen (38 %) Teilnehmenden. Ihr Alter lag zwischen 15 und 73 Jahren. Das mittlere Alter betrug M = 30.03 Jahre ( SD = 10.36). Die Items wurden einer Hauptkomponentenanalyse mit obliquer Rotation unterzogen, um anschließend die reliabelsten und validesten Items herauszufiltern. Die Faktorenanalyse ergab eine eindeutige 5-faktorielle Struktur des Fragebogens mit sehr guten Reliabilitäten der Subskalen. Die verbliebenen 27 Items bilden nun die 5 Skalen des als Multidimensionales Düsseldorfer Trauminventar (MDTI) bezeichneten Fragebogens: (1) Inkorporation von Tagesereignissen, (2) Angenehme Trauminhalte, (3) Traumerinnerung, (4) Aversive Trauminhalte und (5) Persönliche Bedeutsamkeit der Träume. Mit dem MDTI ist es möglich, das Traumerleben unabhängig vom Trauminhalt zu erfassen.
{"title":"Das Multidimensionale Düsseldorfer Trauminventar (MDTI)","authors":"R. Pietrowsky, A. Schmitz, N. Zink, Annika Gieselmann","doi":"10.1026/0012-1924/a000300","DOIUrl":"https://doi.org/10.1026/0012-1924/a000300","url":null,"abstract":"Zusammenfassung. Vorgestellt wird die Entwicklung und testpsychologische Evaluation des Multidimensionalen Düsseldorfer Trauminventars (MDTI), eines Fragebogens zur Erfassung des Traumerlebens unabhängig vom Trauminhalt. Dazu wurde eine Vorläuferversion, das Düsseldorfer Trauminventar (DTI; 51 Items), einer Stichprobe aus N = 715 vorgelegt, welche über E-Mail-Verteiler an Universitäten, sozialen Netzwerke sowie Medizin- und Traumforen rekrutiert und zu einem digitalen Fragebogenformular weitergeleitet wurden. Die Stichprobe bestand aus n = 444 weiblichen (62 %) und n = 270 männlichen (38 %) Teilnehmenden. Ihr Alter lag zwischen 15 und 73 Jahren. Das mittlere Alter betrug M = 30.03 Jahre ( SD = 10.36). Die Items wurden einer Hauptkomponentenanalyse mit obliquer Rotation unterzogen, um anschließend die reliabelsten und validesten Items herauszufiltern. Die Faktorenanalyse ergab eine eindeutige 5-faktorielle Struktur des Fragebogens mit sehr guten Reliabilitäten der Subskalen. Die verbliebenen 27 Items bilden nun die 5 Skalen des als Multidimensionales Düsseldorfer Trauminventar (MDTI) bezeichneten Fragebogens: (1) Inkorporation von Tagesereignissen, (2) Angenehme Trauminhalte, (3) Traumerinnerung, (4) Aversive Trauminhalte und (5) Persönliche Bedeutsamkeit der Träume. Mit dem MDTI ist es möglich, das Traumerleben unabhängig vom Trauminhalt zu erfassen.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45440568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-05DOI: 10.1026/0012-1924/a000293
M. Wirtz, Andrea Heiberger, C. Dresch, A. A. Schulz
Abstract. The COVID-19 pandemic has posed significant challenges to (expectant) mothers of infants in terms of family health protection. To meet these challenges in a health literate manner, COVID-19 protective measures must be considered important and must also be implemented appropriately in everyday life. To this end, N = 343 (expectant) mothers of infants indicated (a) how important they considered 21 COVID-19 infection prevention measures, and (b) how well they succeeded in implementing them in their daily life (20 measures). We performed data analysis using exploratory factor analysis for ordinal data and latent class analysis. One- and two-dimensional models (CFI = .960 / .978; SRMR = .053 / .039) proved to appropriately explain maternal importance ratings. The items on successfully applying COVID-19 measures in daily life can be modeled by the 5 factors hygiene measures, contact with other people, public transportation, staying at home, and checking infection status (CFI = 0.977; SRMR = .036). Six latent classes can be distinguished. Despite the largest class (39 %), classes are characterized by selective or general applicability problems. Classes reporting problems in the applicability of the measures rated them as generally less important (η = .582). Assessing and modelling importance and applicability of COVID-19 prevention measures allows for a psychometrically sound description of subjective perceptions and behaviors that are crucial for health literate practice in maternal daily life.
{"title":"Assessment of the Importance of COVID-19 Prevention Measures and Their Applicability in the Daily Life of Pregnant Women and Mothers of Infants","authors":"M. Wirtz, Andrea Heiberger, C. Dresch, A. A. Schulz","doi":"10.1026/0012-1924/a000293","DOIUrl":"https://doi.org/10.1026/0012-1924/a000293","url":null,"abstract":"Abstract. The COVID-19 pandemic has posed significant challenges to (expectant) mothers of infants in terms of family health protection. To meet these challenges in a health literate manner, COVID-19 protective measures must be considered important and must also be implemented appropriately in everyday life. To this end, N = 343 (expectant) mothers of infants indicated (a) how important they considered 21 COVID-19 infection prevention measures, and (b) how well they succeeded in implementing them in their daily life (20 measures). We performed data analysis using exploratory factor analysis for ordinal data and latent class analysis. One- and two-dimensional models (CFI = .960 / .978; SRMR = .053 / .039) proved to appropriately explain maternal importance ratings. The items on successfully applying COVID-19 measures in daily life can be modeled by the 5 factors hygiene measures, contact with other people, public transportation, staying at home, and checking infection status (CFI = 0.977; SRMR = .036). Six latent classes can be distinguished. Despite the largest class (39 %), classes are characterized by selective or general applicability problems. Classes reporting problems in the applicability of the measures rated them as generally less important (η = .582). Assessing and modelling importance and applicability of COVID-19 prevention measures allows for a psychometrically sound description of subjective perceptions and behaviors that are crucial for health literate practice in maternal daily life.","PeriodicalId":11293,"journal":{"name":"Diagnostica","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44682364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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