Management

Research methods: Data analysis
G

Qualitative analysis of data
Recording experiences and meanings

Distinctions in the midst of quantitative and qualitative studies Reason and Rowans views Reicher and muck arounds St Pauls riot study McAdams exposition of psychobiography Weiskrantzs study of DB Jourards cross-cultural studies Cumberbatchs TV advertising study A bulimia sick persons diary

G

Interpretations of interviews, case studies, and observations
Some of the problems involved in skeleton conclusions from non-experimental studies.

G

Content analysis
Studying the messages contained in media and communications.

G

Quantitative analysis: descriptive statistics
What to do with all those numbers and percentages at the end of the study.

Measures of central tendency: Mean, median, and mode Levels of measurement Measures of dispersion: range, interquartile range, variation balance, banner deviation Frequency polygon, histogram, and bar chart Types of data: nominal, ordinal, interval, ratio Statistical signifi croupce Tests of difference: Mann-Whitney U psychometric test, sign test, Wilcoxon test Scattergraphs, Spearmans rho Test of association: chi-squared Questions to test experimental robustness Varied definitions of ecological validity

G

Data presentation and statistical tests
When to role a chart or a graph.



Which statistical test to choose and why.

G

Issues of experimental and ecological validity
Does your study test what you utter it does? Has it any relevance to real life?

G

Writing up a practical
Presenting your results.

Style and approach Headings to use

Note: Cross references to fleck refer to the printed version of Psychology: An International Perspective by Michael W. Eysenck.

© 2004 Psychology Press Ltd

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