Titlebook: Illustrating Statistical Procedures: Finding Meaning in Quantitative Data; Ray W. Cooksey Book 2020Latest edition Springer Nature Singapor

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Example Research Context & Quantitative Data Set,nt research designs (such as repeated measures designs), we extend the QCI research context to encompass new design aspects and additional data for the illustrations and to demonstrate the use of more specialised computer software programs. Finally, in this chapter, we discuss a range of quantitativ

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Descriptive Statistics for Summarising Data, particularly if the sample is large. Rather we utilise procedures and measures which provide a general depiction of how the data are behaving. These statistical procedures are designed to identify or display specific patterns or trends in the data. What remains after their application is simply for

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Correlational Statistics for Characterising Relationships,semi-partial correlation, simple and multiple regression, exploratory factor analysis, cluster analysis, multidimensional scaling and canonical correlation) that can be employed to answer simple or complex relational or associational questions about data like those posed above. In addition, you will

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Inferential Statistics for Hypothesis Testing,mployed in different hypothesis testing situations and research designs to inform the judgments of significance. You will also learn that statistical significance is not the only way to address hypotheses—practical significance (e.g., effect size) is almost always relevant as well; in some cases, ev

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Other Commonly Used Statistical Procedures,rised factor structures); structural equation models (useful for evaluating theorised causal models); and meta-analysis (useful for exploring data patterns evident in samples of published, and occasionally unpublished, research).

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Specialised Statistical Procedures,ach to understanding and displaying the nodes, interactions and relational connections in a social network); specialised forms of regression analysis (e.g. robust, multinomial, fuzzy, nonlinear, ridge, generalised least squares, 2-stage, tobit, probit, ordinal, mediated and moderated regression mode

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Illustrating Statistical Procedures: Finding Meaning in Quantitative Data