Development and validation of the Wheelchair Imagery Ability Questionnaire (WIAQ) for use in wheelchair sports

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.

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Development and Validation of a German Language Unit-Level Organizational Citizenship Behavior (OCB) Scale

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000558 ◽

2020 ◽

Vol 36 (5) ◽

pp. 852-863 ◽

Cited By ~ 1

Author(s):

George Gunnesch-Luca ◽

Klaus Moser

Keyword(s):

Factor Analysis ◽

Organizational Citizenship ◽

Organizational Citizenship Behavior ◽

Helping Behavior ◽

Citizenship Behavior ◽

German Language ◽

Individual Level ◽

Unit Level ◽

Confirmatory Factor ◽

Development And Validation

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.

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Individual Differences in Mental Rotation

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000184 ◽

2013 ◽

Vol 60 (3) ◽

pp. 164-171 ◽

Cited By ~ 20

Author(s):

Peter Khooshabeh ◽

Mary Hegarty ◽

Thomas F. Shipley

Keyword(s):

Individual Differences ◽

Mental Rotation ◽

Response Times ◽

Task Demands ◽

Mental Rotation Task ◽

Imagery Ability ◽

Alternative Strategies

Two experiments tested the hypothesis that imagery ability and figural complexity interact to affect the choice of mental rotation strategies. Participants performed the Shepard and Metzler (1971) mental rotation task. On half of the trials, the 3-D figures were manipulated to create “fragmented” figures, with some cubes missing. Good imagers were less accurate and had longer response times on fragmented figures than on complete figures. Poor imagers performed similarly on fragmented and complete figures. These results suggest that good imagers use holistic mental rotation strategies by default, but switch to alternative strategies depending on task demands, whereas poor imagers are less flexible and use piecemeal strategies regardless of the task demands.

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