1. Select Question Review Research Develop Hypothesis Research Design Measurement Data Analyses Communicate Results Ethics Overview of Class Activities

2. Select Question Review Research Develop Hypothesis Our Current Focus PsycInfo Assignment “Choosing a Research Question” Activity “Describing the research” Activity

3. Describing the research & Developing a Hypothesis

4. Describing the research Examples –A journalist’s description of a study –Executive summary of a technical report –Abstract of an academic journal article Let’s examine how they are –Different –Similar

5. Journalist description Flynn studied 161 engineers working for a telecoms firm …They work in eight teams, but each individually sorts out detailed engineering problems sent in from around the country. (He) asked each employee to report how often they swapped help with each member of the team— help such as technical advice or taking a second look at a recommended solution—and who, in each case, had given relatively more in their exchanges. Thus, he looked separately at the frequency with which individual workers made such swaps and at how one-sidedly generous they were. He also asked employees to rate how highly they regarded one another.

6. (He) correlated the answers he got with information from the firm on employees' productivity. He found that generous employees who get little in exchange are well-regarded by colleagues. Employees who helped colleagues generously but did not receive help in exchange were less productive. Those who receive as well as give were relatively more productive, particularly those who helped each other most often. A pattern of frequent giving and receiving boosted both productivity and social standing. Journalist description

7. Abstract in academic article Data collected from 161 employees of a large firm suggest that perceived generosity is positively related to individual social status, but maintaining an equitable balance is positively related to individual productivity. Employees may address this dilemma by increasing how often they exchange favors rather than by seeking exchange equity. Frequent favor exchange was positively related to both status and productivity and strengthened the generosity-status and the balance-productivity relationships. Findings highlight the value of studying employees, particularly the favor exchange among peer frequency of exchange.

8. Describing is not explaining –E.g., Why should productivity rise when employees frequently swap help? Mr Flynn has two explanations. First, as employees learn more about the resources they can offer each other, they develop a more efficient pattern of requesting and giving help. Second, helpful employees learn to trust each other more, and so become willing to do bigger favours because they feel more sure about the likelihood of reciprocation. And, of course, it is nicer to work with helpful people than with the other sort

9. Frequency of Help Productivity Social Status Describing with a diagram

10. Frequency of Help Productivity Social Status Efficiency in resource exchange Information about others’ interests Liking for helper Explaining with a diagram

11. Describing vs. explaining Describing = What occurred? Explaining =Why it occurred?

12. Features of a description The Variables measured in the study The results: How the variables are related (i.e., the hypothesis) Number & kind of participants

13. Hypothesis, Variables & results –…perceived generosity is positively related to individual social status…Frequent favor exchange was positively related to both status and productivity Description of participants –Data collected from 161 employees of a large firm.. Examples of features of a description

14. Hypothesis, Variables & results –…perceived generosity is positively related to individual social status…Frequent favor exchange was positively related to both status and productivity One feature of a description

15. What is a variable Examples –Frequency of giving help –Productivity –Social Status

16. What is not a variable e.g., Instructor gender –But gender breakdown of class is a variable E.g., Address of the university A non variable is something that does not change values

17. Hypothesis, Variables & results –…perceived generosity is positively related to individual social status…Frequent favor exchange was positively related to both status and productivity A second feature of a description

18. Examples –Frequent giving and receiving boosts productivity and social standing –Perceived generosity is positively related to social status What is a hypothesis

19. Frequency of Help Productivity Social Status A Diagram of a Hypothesis

20. Examples –The level of frequent giving was high (i.e., a result) –The level of productivity (i.e., a variable) was low What is not a hypothesis: A variable, a result

21. Variables vs. Hypothesis vs. Results A hypothesis is a guess about the way in which variables are related A result is an empirical statement about whether the hypothesis was supported (i.e., whether the variables were related) A result can also be an empirical statement about a variable

22. Must be empirically testable At least two variables must be involved Sekaran, Saks Features of a hypothesis

23. Examples of features of a hypothesis Consider whether the following examples are empirically testable & involve two variables –The instructor’s gender is female –The level of productivity is high –Frequent giving and receiving boosts productivity and social standing

24. What we learned so far: Students answer orally using the Conference Board Paper Executive Summary Handout Explaining Describing –Variable –Hypothesis –Results

25. More about Variables

26. Independent (Aka Predictor, Cause) E.g., frequency of help, one-sidedness of help Dependent (Aka Criterion, Effect) E.g., productivity, perceived social status Sekaran, Saks Types of Variables

27. A researcher thinks that smaller groups will be more cohesive than larger groups Independent variable = Group size Dependent variable = Level of cohesion 35791113 Cohesiveness rating 87776560 58 Number of Group Members Examples of Independent & Dependent Variables

28. A researcher thinks that setting goals will increase the number of orders that are “upsized” at McBurger King Independent variable = Setting of goals (yes or no) Dependent variable = # of upsized orders No GoalsGoals # of upsized orders 1879 Group type Examples of Independent & Dependent Variables

29. Independent vs. dependent variable The Independent variable is the variable that is assumed to explain changes in the value of the dependent variable –Ways to solidify the assumption Type of independent variable: e.g., Gender, Degree of control over independent variable : e.g., Group Size, Number of goals

30. What we learned so far.. Students complete handouts & answer orally From the descriptions of studies in the handouts, identify –Independent variables –Dependent variables

31. More about Hypotheses

32. Types of Hypotheses Null –E.g., There is no relationship between frequency of help and productivity Alternative –E.g., There is a relationship between frequency of help and productivity

33. Types of alternative hypotheses Non directional –E.g., There is a relationship between frequency of help and productivity Directional –E.g., There is a positive relationship between frequency of help and productivity

34. What we learned so far.. Students complete handouts & answer orally From the descriptions of studies in the handouts, identify –Null hypotheses –Alternative Directional hypotheses –Alternative non directional hypotheses

35. Illustrate the difference between A dependent & independent variable An alternate & null hypothesis A directional & non directional hypothesis A result & a hypothesis A variable & a result Putting it all together…. Students examine questionnaire completed in first day of class & answer orally

36. What’s next During this week –Describing the research you found toward your project In the next class –Ways you can solidify the assumption that the independent variable in your project explains the dependent variable