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Reasoning in Psychology Using Statistics

Reasoning in Psychology Using Statistics. Psychology 138 Spring 2015. Exam 1 on Wednesday In lecture: closed book, scantron In labs: open book, open notes. Annoucements. Sampling to make data collection manageable. Inferential statistics to generalize back. Population. Sample. Sampling.

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Reasoning in Psychology Using Statistics

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  1. Reasoning in PsychologyUsing Statistics Psychology 138 Spring 2015

  2. Exam 1 on Wednesday • In lecture: closed book, scantron • In labs: open book, open notes Annoucements

  3. Sampling to make data collection manageable Inferential statistics to generalize back Population Sample Sampling

  4. Population Where does “probability” fit in? • Randomness in sampling leads to variability in sampling error • “Randomness” in short run is unpredictable but in long run is predictable • Allows predictions about likelihood of getting particular samples Lots of samples n=5 Possible Samples • Examples: Odds in games of chance Inferential statistics

  5. What are the odds of being dealt a “Royal Flush”? Total number of outcomes classified as A Prob. of A = p(A) = Total number of possible outcomes 4 = 0.000001539 p(Royal Flush) = 2,598,960 ~1.5 hands out of every million hands Odds in Poker

  6. What are the odds of being dealt a “Straight Flush”? Total number of outcomes classified as A Prob. of A = p(A) = Total number of possible outcomes 40 = 0.00001539 p(straightflush) = 2,598,960 ~15 hands out of every million hands Odds in Poker

  7. What are the odds of being dealt a …? Total number of outcomes classified as A Prob. of A = p(A) = Total number of possible outcomes Odds in Poker

  8. b c a C A B • Draw lettered tiles from bag • Bag contains: • A’s B’s and C’s. • Both upper and lower case letters • What’s the probability of getting an A (upper or lower case)? Total number of outcomes classified as A Prob. of A = p(A) = = 2/6 = 0.33 Total number of possible outcomes Sample space Basics of probability: Derived from games with all outcomes known

  9. b b b b c c c c a a a C C C C A A A B B B B • What’s the probability of getting an A (upper or lower case) on the first pick and another on a second pick? 1/6 a + Prob. of A = p(A) = First Pick: 2/6 = 0.33 2/6 1/6 A Second Pick: ? – it depends on how you sample Sampling with replacement Sampling without replacement The probabilities of selecting the titles change from 1st to 2nd pick 2/6 1/5 1/5 Basics of probability

  10. b c a C A B • What’s the probability of getting an A (upper or lower case) on the first pick and another on a second pick? Sampling with replacement Sampling without replacement 1st picks 2nd picks 1st picks 2nd picks a a b B c C a b B c C A A A a b B c C A a b B c C A b a b B c C b a B c C A A B a b c C B a b B c C A A a b B C a b B c C c A c A a b B c C a b B c C A C A 36 total outcomes 30 total outcomes 2 outcomes of 2 A’s 4 outcomes of 2 A’s 4/36 = 0.11 2/30 = 0.06666 (2/6)*(2/6) = 0.11 (2/6)*(1/5) = 0.0666 1st pick 2nd pick 1st pick 2nd pick Basics of probability

  11. Most statistical procedures assume sampling with replacement • For large populations it turns out not to matter much • e.g., suppose your population is N=1,000,000. Starting probability of selecting a particular item 1 in 1,000,000. • Sampling with replacement, odds stay at 1 in 1,000,000 • Sampling without replacement, odds change to 1 in 999,999 the change is so small that it may not matter • In experiments, you typically don’t want to use sampling with replacement because of the potential for lasting effects of your independent variable Basics of probability

  12. Measurements • Continuous and discrete • Scales of measurement • Instrument • Errors in Measurement • Validity & Reliability • Confounds • Bias • Reliability • Experimental control • Basic probability • Scientific method • Research methods • Observation methods • Experimental methods • Quasi-experimental • Variables • Types • Operational definitions • Sampling • Samples and populations • Statistics and parameters • Techniques Reviewing Producing Data

  13. The researchers used a questionnaire to interview a random sample of 351 people ages 20 to 80 in the Vancouver, British Columbia, area, asking about their dog ownership and level of physical activity. Dog owners walked almost twice as many minutes per week as people who did not own dogs, and the dog owners spent more time in all forms of mild and moderate physical activity. Neither the sex of the owner nor the size of the dog made a difference: men and women who owned dogs participated in increased amounts of moderate exercise compared with those who had no dog. But no statistically significant difference between the two groups was evident in the amount of strenuous exercise performed. The authors concede that the study, published in the February issue of The American Journal of Preventive Medicine, does not determine whether owning a dog itself makes people exercise more. Shane Brown, the study's lead author and a graduate student at the Behavioral Medicine Laboratory of the University of Victoria, called this "the million-dollar question." When the researchers subtracted the time spent walking the dog from total physical activity, dog owners actually walked less than their counterparts without dogs. This, the researchers say, may suggest that the dog makes the difference. When dog owners choose to engage in moderate physical exercise, the reason may be that a four-legged member of the household is insisting on a walk. Now. People who own dogs appear to get more exercise than those who do not … Report (NY Times 2006): dog a more reliable exercise partner than a human. In the news

  14. Results • The analyses revealed that dog owners spent more time in mild and moderate physical activities and walked an average of 300 minutes per week compared to non–dog owners who walked an average of 168 minutes per week. A mediator analysis suggests that dog obligation acts as a mediator between dog ownership and physical activity. Moreover, the theory of planned behavior constructs of intention and perceived behavioral control explained 13% of the variance in walking behavior with an additional 11% variance in walking behavior being explained by dog obligation. Regarding intention to walk, the TPB explained 46% of the variance in intention to walk with dog obligation adding an additional 1% variance. • Conclusions • In this group of Canadians, those who owned a dog participated in more mild to moderate physical activity than those who did not. Acquiring a dog should be explored as an intervention to get people more physically active. • Background • Dog ownership may be an effective tailored intervention among adults for promoting physical activity. This study examined the relationship between walking, physical activity levels, and potential psychological mediators between people who owned dogs and those who did not own dogs in the Capital Region District of Greater Victoria, British Columbia, Canada. Data were collected in September 2004; analyses were conducted in January 2005. • Methods • A random sample of men (n=177) and women (n=174) aged 20 to 80 years participated. Questionnaires were mailed out in 2004 to collect information about demographics, dog ownership, leisure-time walking, physical activity levels, and theory of planned behavior (TPB) constructs. Shane G. Brown, Bed. and Ryan E. Rhodes PhD School of Physical Education, University of Victoria, Victoria, British Columbia, Canada Available online 2 February 2006. American Journal of Preventive Medicine In the research literature

  15. Research process • Ask research question • Identify variables & formulate hypothesis • Define population • Select research methodology • Collect data from a sample • Analyze data • Draw conclusions based on data • Repeat Regimens: Pounding the Pavement, Stopping at Fire Hydrants People who own dogs appear to get more exercise than those who do not … In the news

  16. Context for our numbers • Research process • Ask research question • Identify variables & formulate hypothesis • Define population • Select research methodology • Collect data from a sample • Analyze data • Draw conclusions based on data • Repeat Regimens: Pounding the Pavement, Stopping at Fire Hydrants People who own dogs appear to get more exercise than those who do not … In the news

  17. Research process • Ask research question • Identify variables & formulate hypothesis • Define population • Select research methodology • Collect data from a sample • Analyze data • Draw conclusions based on data • Repeat Regimens: Pounding the Pavement, Stopping at Fire Hydrants People who own dogs appear to get more exercise than those who do not … In the news

  18. Research process • Ask research question • Identify variables & formulate hypothesis • Define your population • Select a research methodology • Collect your data from a sample • Analyze your data • Draw conclusions based on your data • Repeat • Variables • Operational level • Conceptual level Regimens: Pounding the Pavement, Stopping at Fire Hydrants • Variables • Independent (explanatory) variables • Dependent (response) variable • Control variables • Random variables • Confound variables The researchers …, asking about their dogownership and level of physical activity. Methods …. Questionnaires were mailed out in 2004 to collect information about demographics, dog ownership, leisure-time walking, physical activity levels, and theory of planned behavior (TPB) constructs. In the news

  19. Research process • Ask research question • Identify variables & formulate hypothesis • Define your population • Select a research methodology • Collect your data from a sample • Analyze your data • Draw conclusions based on data • Repeat Regimens: Pounding the Pavement, Stopping at Fire Hydrants Instrument used? • Scales of measurement • Nominal • Ordinal • Interval • Ratio The researchers …, asking about their dogownership and level of physical activity. - men & women, own dog or not - mild, strenuous Methods …. Questionnaires were mailed out in 2004 to collect information about demographics, dog ownership, leisure-time walking, physical activity levels, and theory of planned behavior (TPB) constructs. - time spent exercising In the news

  20. Research process • Ask the research question • Identify variables & formulate hypothesis • Define population • Select research methodology • Collect data from sample • Analyze data • Draw conclusions based on data • Repeat Is the sample representative? Is there bias in sample? Regimens: Pounding the Pavement, Stopping at Fire Hydrants The researchers used a questionnaire to interview a random sample of 351 people ages 20 to 80 in the Vancouver, British Columbia, area, (i.e., mailed out questionnaires) Was it simple random sampling? Stratified random sampling? Etc.? In the news

  21. Research process • Ask research question • Identify variables & formulate hypothesis • Define population • Select research methodology • Collect data from sample • Analyze your data • Draw conclusions based on your data • Repeat Regimens: Pounding the Pavement, Stopping at Fire Hydrants Causal Claims?? The researchers used a questionnaire to interview a random sample of 351 people ages 20 to 80 in the Vancouver, British Columbia, area, • Which Research Method?? • Observational study • Experimental methodology • Quasi-experimental methodology The authors concede that the study… does not determine whether owning a dog itself makes people exercise more. This may suggest that .. when dog owners choose to engage in moderate physical exercise, the reason may be that [the dog] is insisting on a walk. Gather 2 pieces of data for each person: dog ownership, exercise In the news

  22. Research process • Ask research question • Identify variables & formulate hypothesis • Define population • Select research methodology • Collect data from sample • Analyze your data • Draw conclusions based on your data • Repeat Regimens: Pounding the Pavement, Stopping at Fire Hydrants Possible confounds? Threats to internal validity? If follow-up experiment were designed, what would you do? In the news

  23. Measurements • Continuous and discrete • Scales of measurement • Instrument • Errors in Measurement • Validity & Reliability • Confounds • Bias • Reliability • Experimental control • Basic probability • Scientific method • Research methods • Observation methods • Experimental methods • Quasi-experimental • Variables • Types • Operational definitions • Sampling • Samples and populations • Statistics and parameters • Techniques Reviewing Producing Data

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