### Page: Primary

This widget area is currently empty. You can add widgets to this area via your admin widgets page.

Examples of some widgets you can add are shown below.

Examples of some widgets you can add are shown below.

The International School of Prague

- Define the aim of a study.
- State a research and null hypothesis of a study (HL only).
- State the independent and dependent variable in an experiment.
- State operational definitions of variables.
- Describe potential confounding variables.
- Explain the controls needed for an experiment (for example, maturation, contamination, placebo

effect). - Explain effects of participant and researcher expectations and bias (including demand characteristics, expectancy effect, observer bias).
- Explain the use of single- and double‑blind techniques.
- Discuss the strengths and limitations of experimental designs (for example, independent samples, repeated measures, matched pairs, single participant).

- Discuss sampling techniques appropriate to quantitative research (for example, random, opportunity, systematic, stratified).
- Discuss how participants are allocated to experimental and control groups (for example, matched pairs, random allocation).
- Explain the concept of representative sampling.

- Discuss the concepts of internal and external validity.
- Discuss conditions that increase a study’s reliability.
- Apply descriptive statistics to analyse data (for example, mean, median, mode, range, standard deviation).
- Distinguish between levels of measurement (including nominal, ordinal, interval, ratio).
- Apply appropriate graphing techniques to represent data (for example, bar chart, histogram, line graph).
- Apply an appropriately chosen statistical test (for example, Wilcoxon matched‑pairs signed‑ranks test, Mann–Whitney U test, sign test, chi‑squared test) in order to determine the level of significance of data (HL only).

- Correlation or causation online activity
- Correlational Research
- Descriptive Statistics
- Dull Rats/Bright Rats –
*an example of experimenter bias* - Ethical Issues
*by Michael Eyseneck* - Ethics in Psychology
- Experimental biases
- Measures of Dispersion
- Pain Perception and the Placebo Effect
- Psychological Research – Theories and Models