Popular in Industrial/Organizational Psychology
Popular in Psychology
This 2 page Class Notes was uploaded by Kaitlin Cornell on Monday September 12, 2016. The Class Notes belongs to PSH 402 at SUNY College at Brockport taught by Dr. McNall in Fall 2016. Since its upload, it has received 29 views. For similar materials see Industrial/Organizational Psychology in Psychology at SUNY College at Brockport.
Reviews for Chapter 2
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 09/12/16
IO Psychology Chapter 2 1. Methods and statistics in IO Psychology 2. IO Psychology as a science a. What is science? i. Approach that involves the understanding, prediction, and control of some phenomenon of interest 3. Common research designs in IO psychology a. Experimental laboratory field i. Random assignment of participants to conditions b. Quasi-experimental i. Nonrandom assignment of participants to conditions c. Nonexperimental survey observational – no unique conditions for participants 4. Descriptive statistics a. Summarize, organize, describe sample of data b. Measures of central tendency i. Mean ii. Median iii. Mode c. Variability i. Standard deviation 5. Correlations a. Degree of relationship between 2 variables b. Correlation coefficient ( r ) c. How do you interpret a correlation coefficient? d. What’s the problem with correlations? 6. Example a. A manager is concerned about low job tenure among call center employees. He wants to see if there is a relationship between employee job satisfaction and employee tenure. He has this data from a sample of employees. The satisfaction data comes for an employee survey and he obtains tenure data from Human Resources. b. Mean: i. Job satisfaction 4.20 ii. Tenure: 12.80 iii. r = .46 c. What can the manager conclude? 7. Inferential statistics a. Used to aid the researcher in testing hypotheses and making inferences from sample data to larger sample or population i. t – test: want to know whether two groups differ on some variable of interest ii. Is the difference real and meaningful? 8. Example: a. Small team (3-4 members) i. Mean satisfaction score = 4.5 (out of 5) b. Large team (7-9 members) i. Mean satisfaction score = 3.8 (out of 5) 9. Statistical significance a. The standard for significance has been set at p < .05 or lower as a rule of thumb b. If our results are statistically significant, this means results could be due to chance only 5 or fewer times in 100 possible outcomes c. Odds are quite good (95 out of 100) that effects are due to my manipulation (team size) 10.Example 1: a. A manager randomly selects employees from two different departments to rate their satisfaction with the company’s career development practices. She uses a 7 – point scale, and obtains data from 15 people from department A and 21 people from Department B. She describes her data using averages and also runs a t-test to see whether the two departments differ in average satisfaction. She obtained the following results: i. Department A 1. Mean – 4.57 2. P value - .019 ii. Department B 1. Mean – 5.14 iii. What can the manager conclude? 11.Example 2: a. You would like to know if Course A, which you designed, received higher ratings than Course B. You choose to examine a question from the trainee reaction survey that you think is meaningful, “Are you likely to use, on the job, the skills and knowledge taught in this course? 14 people who attended both the courses and the reaction form are identified. You believe that Course A should have received higher ratings on average than Course B. i. Course A: 1. Mean – 5.50 2. P – value .003 ii. Course B: 1. Mean – 3.57 iii. What can the manager conclude? 12.Meta-analysis a. Statistical method for combining and analyzing the results from many studies to draw a general conclusion
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'