Reliability and Validity of a Swedish Language Version of the Resilience Scale

2004 ◽  
Vol 12 (3) ◽  
pp. 169-178 ◽  
Author(s):  
Björn Nygren ◽  
Kerstin Björkman Randström ◽  
Anna K. Lejonklou ◽  
Beril Lundman

The purpose of this study was to test the reliability and validity of the Swedish language version of the Resilience Scale (RS). Participants were 142 adults between 19–85 years of age. Internal consistency reliability, stability over time, and construct validity were evaluated using Cronbach’s alpha, principal components analysis with varimax rotation and correlations with scores on the Sense of Coherence Scale (SOC) and the Rosenberg Self-Esteem Scale (RSE). The mean score on the RS was 142 (SD = 15). The possible scores on the RS range from 25 to 175, and scores higher than 146 are considered high. The test-retest correlation was .78. Correlations with the SOC and the RSE were .41 (p < 0.01) and .37 (p < 0.01), respectively. Personal Assurance and Acceptance of Self and Life emerged as components from the principal components analysis. These findings provide evidence for the reliability and validity of the Swedish language version of the RS.

1999 ◽  
Vol 85 (2) ◽  
pp. 579-582 ◽  
Author(s):  
Andile Mji

The article reports reliability and validity of the Conceptions of Mathematics Questionnaires, based on responses of 154 undergraduate mathematics majors from four universities in South Africa. The reliability estimated as internal consistency had a Cronbach alpha of .84. To establish the validity, Principal components analysis with varimax rotation yielded a two-component solution accounting for 44% of variance. The components were interpreted as Fragmented Conceptions and Cohesive Conceptions of mathematics, as in Australia Since the factor solution was comparable to that reported in Australia, this result is a sufficient basis for the use of the questionnaire in South Africa.


2001 ◽  
Vol 88 (3) ◽  
pp. 825-831 ◽  
Author(s):  
Andile Mji ◽  
Emily N. Klass

This study describes the psychometric characteristics of the 19-item Conceptions of Mathematics Questionnaire for a total of 158 students (86 women and 72 men). The coefficient α of internal consistency reliability was .75. Principal components analysis with varimax rotation indicated a two-component solution could be extracted. The two theoretically meaningful dimensions were fragmented conceptions (α = .80) and cohesive conceptions (α = .80). The former entails seeing mathematics as number rules and formulae to be used to solve problems. Students who hold this conception use rote learning and memorization. In contrast, the latter entails seeing mathematics as a complex logical system for solving complex problems. Students with such a conception approach learning to attain, develop, and apply knowledge.


2012 ◽  
Vol 110 (2) ◽  
pp. 378-382
Author(s):  
David Lester

Research using Knoblauch and Falconer's Ego-Grasping Scale is reviewed. Using a sample of 695 undergraduate students, the scale had moderate reliability (Cronbach alpha, odd-even numbered items, and test-retest), but a principal-components analysis with a varimax rotation identified five components, indicating heterogeneity in the content of the items. Lower Ego-Grasping scores appear to be associated with better psychological health. The scale has been translated and used with Korean, Kuwaiti, and Turkish students, indicating that the scale can be useful in cross-cultural studies.


1987 ◽  
Vol 61 (3) ◽  
pp. 863-866
Author(s):  
Sung-Mook Hong

The Zemore Depression-Proneness Rating Scale was administered to 208 university students. A principal components analysis with varimax rotation identified three factors representing Negative Self-attitude, Performance Difficulty, and Lack of Appetite. Some similarity between the present factors and those of the Beck Depression Inventory was discussed. Because the scale overemphasizes cognitive components, attention to items on the somatic aspects of depression was suggested. However, it should be noted that depression-proneness appears to be the feature of Zemore's scale that sets it apart from other depression scales.


2011 ◽  
Vol 108 (2) ◽  
pp. 470-476 ◽  
Author(s):  
Alfredo Campos ◽  
María José Pérez-Fabello

The reliability and factor structure of the Spanish version of the Object-Spatial Imagery and Verbal Questionnaire (OSIVQ) were assessed in a sample of 213 Spanish university graduates. The questionnaire measures three types of processing preferences (verbal, object imagery, and spatial imagery). Principal components analysis with varimax rotation identified three factors, corresponding to the three scales proposed in the original version, explaining 33.1% of the overall variance. Cronbach's alphas were .72, .77, and .81 for the verbal, object imagery, and spatial imagery scales, respectively.


1975 ◽  
Vol 37 (3) ◽  
pp. 849-850 ◽  
Author(s):  
David W. Stewart ◽  
G. Mac Griffith

A principal components analysis of Sensation-seeking Scale IV ( n = 156 undergraduates) followed by a varimax rotation provided some support to the factorial validity of some of Zuckerman's subscales. It is suggested that the dimensions of sensation seeking were arbitrarily limited in earlier work on the problem.


1993 ◽  
Vol 72 (2) ◽  
pp. 419-422 ◽  
Author(s):  
David M. Collins ◽  
Peter F. Hayes

Analysis of data from 255 U.S. pharmacists provides support for the consistency and validity of this short-form conservatism scale. The scale returned a coefficient alpha of 0.82, and principal components analysis yielded a strong general conservatism factor. Varimax rotation produced five factors consistent with the factor structure of the original Conservatism Scale.


1987 ◽  
Vol 60 (3_part_2) ◽  
pp. 1059-1062
Author(s):  
Howard N. Anderson ◽  
Stephen Madonna ◽  
Glenda K. Bailey ◽  
Andrea L. Wesley

The present study was designed to determine the number and nature of factors involved in Rotter's I-E Scale and to examine the question of the multidimensionality of the scale. Subjects were 329 college undergraduates. Principal components analysis was performed on the 23 pertinent items of the scale, followed by Varimax rotation. Multiple criteria indicated a 10-factor solution which accounted for 61% of the total variance. The first two factors were strongly similar to those reported previously. Results support Rotter's (1975) contention that subclasses within the scale will vary from sample to sample.


2017 ◽  
Vol 26 (3) ◽  
pp. 509-531
Author(s):  
Irena Miljković Krečar ◽  
Maja Kolega

The main aim of this study was to identify factors which motivate daily participation of extremely active online forum members. An extensive online questionnaire was constructed and sent to the Forum.hr members with more than 8,000 posts. The final sample consisted of 112 respondents. Principal components analysis provided an interpretable three components solution, explaining 54.6% of the item variance. The components were labelled as self-esteem, information exchange, and confrontation. Some significant differences were also found among motivational subscales and variables of gender, age, and the intensity of forum activity. Results are discussed in relation to previous research.


1983 ◽  
Vol 40 (10) ◽  
pp. 1752-1760 ◽  
Author(s):  
Michael A. Gates ◽  
Ann P. Zimmerman ◽  
W. Gary Sprules ◽  
Roy Knoechel

We introduce a method, based on principal components analysis, for studying temporal changes in biomass allocation among 16 size–category compartments of lake plankton. Applied to data from a series of 12 Ontario lakes over three sampling seasons, the technique provides a simple means of visualizing shifts in patterns of biomass allocation, and it allows comparative analyses of biomass fluctuations in different lakes. Each of the primary component axes is interpretable. Furthermore, a large proportion of the variance in both the mean position of a lake and its movement along these axes is interpreted as a function of lake physicochemistry. The analysis also provides weighted scores for use in hypothesis testing which are an improvement over mean biomass values alone, because they take into account the structure of variation in the data set.


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