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Research Methods

Research Methods. PSYA1 Lesson 6. Starter. For each of these situations, identify the sampling technique and comment on whether it is likely to produce a representative sample.

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Research Methods

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  1. Research Methods PSYA1 Lesson 6

  2. Starter • For each of these situations, identify the sampling technique and comment on whether it is likely to produce a representative sample. • Respondents are recruited for a survey by asking passers by in the street if they would mind answering some questions. • Gender differences in superstition are investigated by propping a ladder against a wall and seeing who walks under it and who walks around it. • A sample of A Level students is chosen by putting the names of all A Level students into a hat and drawing out 20 of them. • A student recruits 15 male and 15 female students from her college canteen to take part in an experiment on memory.

  3. Learning Objectives:1) To develop an understanding of quantitative data analysis.Success Criteria:1) Watch a selection of videos about quantitative analysis and make some notes.2) Answer some practice questions.

  4. Task • Watch the measures of central tendency video • Make some notes about measures of central tendency and measures of dispersion using the Boardworks presentation here.

  5. Tasks • Complete the research methods questions box 3.8 on page 96 in your textbook. • Watch the video about graphs. • Sketch the different ways to present quantitative data on page 25 of your booklet.

  6. Types of Data • Nominal data in categories, e.g. grouping people in class into ‘short’ and ‘tall’, or ‘boys’ and ‘girls’. • Ordinal data that is ordered, e.g. lining people up in height order. • Interval data measured in equal intervals, e.g. measuring someone’s height or weight. • Ratio data with a true zero, e.g. height

  7. Types of Data • Nominal data in categories, e.g. grouping people in class into ‘short’ and ‘tall’, or ‘boys’ and ‘girls’. • Ordinal data that is ordered, e.g. lining people up in height order. • Interval data measured in equal intervals, e.g. measuring someone’s height or weight. • Ratio data with a true zero, e.g. height

  8. Homework • Go through the key terms glossary and add make sure that it is up-to-date

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