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Paul Redford's Outputs (21)

Writing essays: Does self-efficacy matter? The relationship between self-efficacy in reading and in writing and undergraduate students' performance in essay writing (2012)
Journal Article

Self-efficacy beliefs have been identified as associated with students' academic performance. The present research assessed the relationship between two new self-efficacy scales (self-efficacy in reading [SER] and self-efficacy in writing [SEW]) and... Read More about Writing essays: Does self-efficacy matter? The relationship between self-efficacy in reading and in writing and undergraduate students' performance in essay writing.

Individualism-collectivism as descriptive norms: Development of a subjective norm approach to culture measurement (2009)
Journal Article

The development and validation of a new instrument for measuring the descriptive norms related to individualism-collectivism (IC) is presented. IC is conceptualized as a group- specific unidimensional cultural construct with four defining attributes... Read More about Individualism-collectivism as descriptive norms: Development of a subjective norm approach to culture measurement.

Organizational behaviour across cultures: Theoretical and methodological issues for developing multi-level frameworks involving culture (2005)
Journal Article

The present article has two objectives. First, general issues for developing and testing cross cultural multi-level models such as variable identification, measurement, sampling and data analysis are discussed. A second aim is to illustrate some of t... Read More about Organizational behaviour across cultures: Theoretical and methodological issues for developing multi-level frameworks involving culture.

Cohen’s d for two independent samples
Other

An exposition of standardized effect for two independent samples (under an assumption of normality) is given along with an insight into interpretation and reporting

That assumption of normality
Other

Many statistical tests are based around an assumption of “normality”. The reasoning for this choice of distribution, whether to test, what to test, and how to test for normality is covered along with practical recommendations.