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Socio-cultural Context of research. Research takes place in a particular time in history and in a particular culture Can not avoid this problem of the research context. Can influences topics of research Problem when it is not recognised e.g lack of cross-cultural equivalence
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Research takes place in a particular time in history and in a particular culture • Can not avoid this problem of the research context. • Can influences topics of research • Problem when it is not recognised • e.g lack of cross-cultural equivalence • Can prevent research being done • e.g. Scarr (1988) • Can influence interpretation of data • Berger and Tedeschi (1969) • phenomenon which we are studying are constantly changing
Ethics • Culturally determined • Nuremberg Code • Ethical guidelines for research • APS • http://www.psychsociety.com.au/about/code_of_ethics_2001.pdf • NHMRC • http://www.health.gov.au/nhmrc/publications/humans/preamble.htm
Tricky Issues relating to ethics • Informed consent • Deception • Social value
Revision • Scales of measurement • Measures of central tendency and variability • Shape of distribution • Standard scores and normal distribution • Hypothesis testing (Do not need to cover probability in detail) • Significance - comparing calculated statistic to critical value vs probability to alpha • Power and effect size. • Difference between parametric and non parametric
MEASURES OF ASSOCIATION • Both variables Interval • Pearson Product Moment Correlation • One or both variables Ordinal • Spearman Rank Order Correlation
Examination • 45 MCQ - .33 weighting • 15 Short answer questions - .67 weighting • Must answer all questions, ie no choice • May take in to examination one A4 page of original handwritten notes
Types of questions • Identify the appropriate statistical test to use. Requires knowledge of measurement and statistical tests cf assignment. Definite question. • Identify threats to validity. Definite question. • Interpret SPSS printouts. Definite question. • Need to know basic formulas - enhances understanding of concepts. For example what is variance, F ratio etc. But will be no major calculations eg will not be given a set of data and asked to calculate t. • Explain the underlying process of hypothesis testing. • What is a sampling distribution. • What is a sampling distribution and how is it used. • What is sampling error. • Explain why power is important. • Explain or identify Type 1 and Type II errors • Questions based on the tutorials. eg In ANOVA, what happens when you add a constant to the scores of one group. • Ethical issues in conducting research