Integrating Negative Affect Measures in a Measurement Model: Assessing the Function of Negative Affect as Interference to Self-Regulation

Autor/in	Magno, Carlo
Titel	Integrating Negative Affect Measures in a Measurement Model: Assessing the Function of Negative Affect as Interference to Self-Regulation
Quelle	4 (2010), S.48-67 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2094-0734
Schlagwörter	Factor Structure; Affective Behavior; Cognitive Processes; Barriers; College Students; Student Attitudes; Questionnaires; Correlation; Predictor Variables; Foreign Countries; Affective Measures; Attitude Measures; Student Surveys; Factor Analysis; Structural Equation Models; Self Management; Personality Traits; Negative Attitudes; Philippines + Suchen Sie Ihr Suchwort? Faktorenstruktur; Affective disturbance; Active behaviour; Affektive Störung; Cognitive process; Kognitiver Prozess; Collegestudent; Schülerverhalten; Fragebogen; Korrelation; Prädiktor; Ausland; Schülerbefragung; Faktorenanalyse; Selbstmanagement; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal; Negative Fixierung; Philippinen
Abstract	The present study investigated the composition of negative affect and its function as inhibitory to thought processes such as self-regulation. Negative affect in the present study were composed of anxiety, worry, thought suppression, and fear of negative evaluation. These four factors were selected based on the criteria of negative affect by Hopko, Hunt, and Armento (2005) and Smith and Kirby (2001). Four different scales were used to measure these factors. The factor structure of the negative affect was tested using Confirmatory Factor Analysis. Results showed that all items as indicators were significant and all the four factors of negative affect were significantly related. The inhibitory function of the negative affect on self-regulation was further tested using Structural Equations Modeling. The results showed that as negative affects increase, there was a reduction of 4% variance on self-regulation. The model showing the inhibitory function of negative affect also attained an adequate fit. An appendix presents: Parameter Estimates of the Items of Each Negative Affect Factor. (Contains 1 figure and 2 tables.) (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10