1. Experimental Methods What is an experiment? Manipulation of one or more variables by the experimenter to determine the effect of this manipulation on another variable. Carefully designed and executed plan for data collection and analysis to test specific hypotheses. Examples of hypotheses? Well-designed experiments can permit causal inferences to be made.

2. Experiment : Features Typically held at the discretion of the researcher Ability to use various controls to isolate sources of variation, Ability to explore cause-effect relationships.

3. Phases in Experimental Studies 1.Formulation of one or more hypotheses. -Usually deductions or derivations from theoretical explanations (of the behavioural phenomenon) or strong hunches/speculations. 2.Translation of the hypotheses into a set of treatment conditions and appropriate experimental design. 3.Conduct the exepeirment, collect the data 4.Statistical analysis of the data, interpretation of the results and writing up.

4. Experimental Design Independent Variables: The variable(s) manipulated in the experiment. (also called manipulated variable, treatment variable or factor). Typically nominal (categorical) variable. Dependent Variable(s) Measure(s) that capture (performance) of the phenomenon

5. Control or Nuisance Variables Undesired sources of variation in an experiment that affect the dependent variable measurement, Typically of three types: -organismic -environmental -experimental task.

6. Approaches to control the nuisance variable Random assignment of subjects to treatment groups, Holding the (pre-identified) nuisance variable constant for all subjects, Statistical control using Analysis of Covariance (ANCOVA).

7. Sources of Bias Experimenter cues Demand characteristics Evaluation apprehension Hawthorne Effect Negativistic subject

8. Experiments - Advantages Possibility of a variety of manipulative and statistical controls, Random assignment of subjects – greater precision and higher confidence in specifying and testing causal relationships, May help identify issues and problems previously unrecognised.

9. Experiments - Disadvantages Problems associated with lab settings, Some phenomenon cannot be studied under controlled conditions, Limitations imposed by moral concerns.

10. Procedures 1.Cover Story – description and purpose 2.Recruiting participants -Sample selection -Reference to criterion population -Remuneration and motivation 3.Training the participants 4.Preparing the setting 5.Controlled manipulation of independent variable(s) 6.Manipulation checks 7.Precise measurement of dependent variable(s).

11. Quasi-experimental Designs Used when it is impossible or difficult to perform true, controlled experiments, Particularly in organisational settings Essentially compromise designs Used when time,cost, and practicality are critical. 1.One shot design 2.One group pretest-posttest design 3.Static Group Design

12. Observational Methods

13. Survey Methods Typically questionnaire surveys Strengths: Quantitative data Transparency and some level of objectivity Succinct and easily understood Comparability/reproducibility Can deal with complex problems/issues

14. Survey Methods Surveys: Interviewer completion Respondent completion Types of surveys 1.Household 2.Telephone 3.Mail 4.Customer 5.Captive Group 6.Organisation 7.Web-based

15. Survey Methods Issues: Response rates Biases and errors

16. Survey Methods Types of Questions Open ended and pre-coded Measurement of Attitudes and opinions: Likert Scales Attitude Statements Semantic Differential

17. Survey Methods Questionnaire Construction Validity/Reliability issues Pilot Testing Sample selection Coding the data Statistical Analysis.