Identification of School Admission Effects Using Propensity Scores Based on a Matching Market Structure

Zusammenfassung. Hintergrund: In Deutschland liegen nur vereinzelte Studien zur PTBS-Prävalenzquote bei Suchtpatienten und zu deren psychischen Befund vor. Fragestellung: Wie hoch ist die relative Häufigkeit einer PTBS bei Patienten mit substanzbezogenen Störungen und wie unterscheiden sich die Patienten mit und ohne PTBS hinsichtlich klinischer und psychosozialer Charakteristika? Methode: Mittels Chi-Quadrat- und t-Tests wurden 376 mittels Propensity Scores gematchte Patienten aus einer Stichprobe von 4105 konsekutiv aufgenommenen Abhängigen in diagnostischen und psychischen Merkmalen retrospektiv miteinander verglichen. Ergebnisse: Die relative Häufigkeit von PTBS lag bei den Patienten mit einer alkoholbezogenen Störung bei 3,8 %, bei den restlichen Suchtpatienten mit Störungen durch andere psychotrope Substanzen bei 10,5 %. Bei den PTBS Patienten lag häufiger eine Persönlichkeitsstörung vor. Außerdem waren die PTBS Patienten stärker psychisch belastet, in ihrem Interaktionsstil abweisender, introvertierter, und nachgiebiger sowie im Bindungsstil vermeidender. Schlussfolgerungen: Die Unterschiede verdeutlichen die Notwendigkeit von auf den Interaktions- und Bindungsstil individuell angepassten Interventionen im Rahmen der Standardbehandlungen für Suchtpatienten mit PTBS.

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Validating Four Standard Scales in Spiritually Practicing and Nonpracticing Samples Using Propensity Score Matching

European Journal of Psychological Assessment ◽

10.1027/1015-5759.24.3.165 ◽

2008 ◽

Vol 24 (3) ◽

pp. 165-173 ◽

Cited By ~ 8

Author(s):

Niko Kohls ◽

Harald Walach

Keyword(s):

Propensity Score ◽

Propensity Score Matching ◽

Repeated Measures ◽

Propensity Scores ◽

Total Sample ◽

Experimental Manipulation ◽

Brief Symptom Inventory ◽

Time Interaction ◽

Social Support Scale ◽

Lower Test

Validation studies of standard scales in the particular sample that one is studying are essential for accurate conclusions. We investigated the differences in answering patterns of the Brief-Symptom-Inventory (BSI), Transpersonal Trust Scale (TPV), Sense of Coherence Questionnaire (SOC), and a Social Support Scale (F-SoZu) for a matched sample of spiritually practicing (SP) and nonpracticing (NSP) individuals at two measurement points (t1, t2). Applying a sample matching procedure based on propensity scores, we selected two sociodemographically balanced subsamples of N = 120 out of a total sample of N = 431. Employing repeated measures ANOVAs, we found an intersample difference in means only for TPV and an intrasample difference for F-SoZu. Additionally, a group × time interaction effect was found for TPV. While Cronbach’s α was acceptable and comparable for both samples, a significantly lower test-rest-reliability for the BSI was found in the SP sample (rSP = .62; rNSP = .78). Thus, when researching the effects of spiritual practice, one should not only look at differences in means but also consider time stability. We recommend propensity score matching as an alternative for randomization in variables that defy experimental manipulation such as spirituality.

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Analyzing Student Socioeconomic Status and Student-Teacher Relationships Using Propensity Scores

PsycEXTRA Dataset ◽

10.1037/e507752019-001 ◽

2019 ◽

Author(s):

Amanda A. Olsen

Keyword(s):

Socioeconomic Status ◽

Student Teacher ◽

Propensity Scores ◽

Teacher Relationships ◽

Student Socioeconomic Status ◽

Student Teacher Relationships

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Marital-property scheme, marriage promotion and matching market equilibrium

10.32469/10355/5856 ◽

2006 ◽

Author(s):

Yau-Jr Liu

Keyword(s):

Market Equilibrium ◽

Matching Market ◽

Marital Property ◽

Marriage Promotion

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Contract institutions in the Russian economy: The sphere of state, municipal, and regulated procurement

Voprosy Ekonomiki ◽

10.32609/0042-8736-2017-11-93-110 ◽

2017 ◽

pp. 93-110 ◽

Cited By ~ 3

Author(s):

O. Anchishkina

Keyword(s):

Economic Growth ◽

Theoretical Model ◽

Market Structure ◽

Market Equilibrium ◽

Statistical Evidence ◽

Market Model ◽

Market Behavior ◽

Database Analysis ◽

Russian Economy ◽

Contracting Model

The article synthesizes information on database analysis of state, municipal, and regulated procurement through which Russian contract institutions and the market model are investigated. The inherent uncertainty of quantity indicators on contracting activities and process is identified and explained. The article provides statistical evidence for heterogeneous market structure in state and municipal procurement, and big player’s dominance. A theoretical model for market behavior, noncooperative competition and collusion is proposed, through which the major trends are explained. The intrinsic flaws and failure of the current contracting model are revealed and described. This ineffectiveness is regarded to be not a limitation, but a challenge to be met. If responded to, drivers for economic growth and market equilibrium will be switched on.

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