Search results for "Factor analyses"

showing 4 items of 4 documents

The Reciprocal Influences among Motivation, Personality Traits, and Game Habits for Playing Pokémon GO

2018

This article reports a study exploring motivations of Pokémon Game use, individual differences related to personality traits, and game habits. First, it analyzed Pokémon GO motivations through exploratory factor analysis (EFA) by administering online the Pokémon GO Motivational Scale to a group of Italian gamers (N = 560). Successively, a Confirmatory Factor Analysis (CFA) was conducted testing three factorial models of Pokémon Game motivations on a selected random sample (N = 310). Results showed a three-factor model of Pokémon GO Game motivations (i.e. Personal Needs, Social Needs and Recreation), accounting for 68.9% of total variance plus a general higher order factor that best fits the…

Settore M-PSI/01 - Psicologia GeneraleRandom sampleHuman Factors and ErgonomicsConfirmatory factor analyses (CFA)Individual Difference0502 economics and businessMultivariant analysiPsychology0501 psychology and cognitive sciencesBig Five personality traitsPersonality traitComputingMilieux_MISCELLANEOUS050107 human factorsMotivationThree-factors model05 social sciencesSettore M-PSI/03 - PsicometriaComputer Science ApplicationsHuman-Computer InteractionExploratory Factor Analysis (EFA)Factorial model[SCCO.PSYC]Cognitive science/Psychology050211 marketingPsychologySocial psychologyReciprocal
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Factorial Validity and Reliability of the Curricular Goals in Physical Education Questionnaire

2015

This study aimed to examine the validity and reliability of an instrument designed to measure student perceptions of curricular goals in physical education, the Curricular Goals in Physical Education Questionnaire. Participants were 879 Finnish students from grades 7 to 9 (412 girls, 467 boys; mean age 13.81). An exploratory factor analysis was performed on Sample 1 (n = 287), revealing a four-factor solution and suggesting that factor structure be cross-validated with confirmatory factor analysis in Sample 2 (n = 592). Confirmatory factor analysis demonstrated an acceptable fit and supported the four-factor model. Tests for gender invariance supported configural, metric, and scalar invaria…

Psychomotor learningta112factor analyseseducationValidityPhysical Therapy Sports Therapy and RehabilitationTest validityConfirmatory factor analysisPhysical activity levelExploratory factor analysiscurricular goalsDevelopmental psychologyPhysical educationphysical educationfactorial invarianceMathematics educationnational curriculumOrthopedics and Sports Medicineta516Psychologyta315CurriculumMeasurement in Physical Education and Exercise Science
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Validity and reliability of the Polish adaptation of the Health-Related Hardiness Scale – the first confirmatory factor analysis results for a common…

2020

BackgroundThe Health-Related Hardiness Scale (HRHS) developed by Pollock is one of the most widely used measures to assess the construct of hardiness in chronic diseases. However, the original structure of the scale has been investigated only with exploratory factor analysis, and there have been no studies investigating the structure of the scale using a confirmatory approach, so significant doubts about the validity of the scale could be raised.Participants and procedureA total of 450 participants took part in the study, with the majority suffering from chronic diseases. A Polish ver-sion of the HRHS, the Sense of Coherence questionnaire (SOC-29), the Resiliency Assessment Scale (SPP-25), …

Scale (ratio)confirmatory factor analysesRValidityHealth relatedadaptationConfirmatory factor analysisBF1-990Psychiatry and Mental healthClinical PsychologyHardiness (psychological)MedicinePsychologyPsychologyAdaptation (computer science)chronic illnesshealth-related hardinessClinical psychologyHealth Psychology Report
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Measuring stress in clinical and nonclinical subjects using a German adaptation of the Perceived Stress Scale

2020

ANTECEDENTES/OBJETIVO: El estrés se percibe de manera diferente entre los individuos, lo que podría ser particularmente cierto para los sujetos no clínicos y clínicos. Por esta razón, probamos una adaptación alemana de la Perceived Stress Scale de 10 ítems (PSS-10) para el ajuste del modelo y la invarianza de la medición en una gran muestra clínica y no clínica. MÉTODO: Realizamos (1) un análisis factorial confirmatorio múltiple (CFA) en 1.248 sujetos no clínicos y 575 pacientes ambulatorios, (2) invarianza de medición con CFA multigrupo, (3) correlaciones con constructos relevantes y (4) cálculos de la consistencia interna para la escala general y las subescalas Desvalidez y Autoeficacia. …

050103 clinical psychologyOriginal articlePerceived Stress Scale050109 social psychologyLearned helplessnessAdaptation (eye)Análisis FactorialGermanClinical subjectsStress (linguistics)0501 psychology and cognitive sciencesMeasurement invarianceInvarianzaInstrumental study.05 social sciencesInvariancePerceived Stress ScalePacientes ; Instrumental study ; Invariance ; Clinical subjects ; Invarianza ; Estudio instrumental ; Factor analyses ; Perceived Stress Scale ; Análisis FactorialMental healthlanguage.human_languageConfirmatory factor analysisClinical PsychologyEstudio instrumental.languageFactor analysesPacientesPsychologyClinical psychologyInternational Journal of Clinical and Health Psychology : IJCHP
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