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Various Research Study Designs Ways to gather data: Lecture 4/Chapter 4 Sample surveys (covered in this chapter) } (covered next) Observational studies How to Get a Good Sample Experiments Sampling Activity Meta analysis


  1. Various Research Study Designs Ways to gather data: Lecture 4/Chapter 4 � Sample surveys (covered in this chapter) } (covered next) � Observational studies How to Get a Good Sample � Experiments � Sampling Activity � Meta analysis (covered in Ch. 25) � Study Designs; Focus on Sampling � Case studies, census (not covered in depth � Vocabulary because our statistical methods won’t apply) � Sampling Methods Definitions (Review) Definitions � Unit: single individual or object studied � Observational study: Researchers observe � Population: entire collection of units about which what happens naturally in terms of variables we’d like information of interest. � Sample: collection of units actually studied � Survey: particular type of observational study � Sampling frame: list of units from which sample in which data values tend to be self-reported, was chosen (should match population) as in a questionnaire or opinion poll � Census: survey that includes entire population � Margin of error: approximates how close our � Experiment: Researchers take control of estimate (from the sample) is to the true value values of one variable to see how it affects (for the entire population) values of another variable

  2. Margin of Error Example: Details of Binge drinking article Because it’s almost never possible to survey the entire � Background : Article about binge drinking… population, we typically use info from a sample to � Question/Response: In this context, what are estimate what’s true for the entire population. � Type of study: Less than 5% of the time, our estimate differs from the true value by more than a margin of error. � Units: If we take a sample of size n of categorical values, we � Population: are 95% sure that the true proportion is within about � Sample: . of the sample proportion. � Sampling frame: � Approx. margin of error: Example: Interpreting the Margin of Error Sampling Methods � Background : Article about binge drinking � systematic sampling plan uses methodical but stated that “66% of respondents said they had non-random approach, like picking individuals engaged in binge drinking in 2001, compared at regularly spaced intervals on a list to 62% in 2000…but the changes are not � probability sampling plan: makes planned use statistically significant because of the margin of chance/randomness in selections of error built into the study.” � simple random sample (simplest prob. samp- � Question: Why not statistically significant? ling plan): selections made at random without � Response: replacement, like picking names from a hat

  3. More Probability Sampling Plans Example: Identifying Sampling Method (#1) � stratified random sample takes separate � Background : A random sample of classes is random samples from groups of similar taken from all classes at Pitt; all students in individuals (strata) within the population each of the sampled classes are included in � cluster sample selects small groups (clusters) the sample. at random from within the population (all � Question: What method is used? units in each cluster included) � Response: � multistage sample stratifies in stages, randomly sampling from groups that are successively more specific Example: Identifying Sampling Method (#2) Example: Identifying Sampling Method (#3) � Background : All Pitt students are first � Background : All Pitt students are first divided into schools (CAS, Business, etc.); divided into schools; within each school, a within each school, a random sample of random sample of majors is taken. Within students is taken. each major, a random sample of classes is taken. At the last stage, include either the � Question: What method is used? entire cluster of students in the class or a � Response: random sample of individual students. � Question: What method is used? � Response:

  4. Example: Identifying Sampling Method (#4) Flawed Sampling Plans � volunteer sample: all individuals have been self- � Background : A random number generator is selected used to select a certain number of students � volunteer response: individuals have been selected from the list of all Pitt students. by researchers, but only a subset choose to � Question: What method is used? participate � Sampling frame different from population : some � Response: individuals don’t have a chance of being included in the sample (recent switch to cell phones reduced response rate in voters’ polls from the usual 40% to just 25% in 2004) Example: Sampling Methods and Flaws Example: Sampling Methods and Flaws � Background : A stats dept wants to assess the � Background : A stats dept wants to assess the quality of an instructor’s teaching via personal quality of an instructor’s teaching via personal interviews with 10 of the 100 students interviews with 10 of the 100 students enrolled. enrolled. One possibility is to go to a lecture Go to a lecture, assign each student a number 1, and ask for 10 volunteers willing to be 2, … as seated, pick every 10th student. interviewed about the instructor’s teaching. � Questions: What method is used? Is it flawed? � Questions: What method is used? Is it flawed? � Response: � Response:

  5. Example: Sampling Methods and Flaws Example: Sampling Methods and Flaws � Background : A stats dept wants to assess the � Background : A stats dept wants to assess the quality of an instructor’s teaching via personal quality of an instructor’s teaching via personal interviews with 10 of the class’s 100 students. interviews with 10 of the 100 students Go to a lecture, assign each student a number enrolled. Obtain a roster of all 100 students, 1, 2, …; use a computer to pick 10 at random. pick every 10th name. � Questions: What method is used? Is it flawed? � Questions: What method is used? Is it flawed? � Response: � Response: Read these articles before next lecture: Example: Sampling Methods and Flaws HELPING STROKE VICTIMS Lowering stroke victims’ body temperature with cooling blankets and other means can � Background : A stats dept wants to assess the significantly improve their chances of survival, researchers say. quality of an instructor’s teaching via personal German researchers who took steps to reduce the temperature of 25 people who had suffered severe strokes found that 14 interviews with 10 of the 100 students survived instead of the expected five… enrolled. Obtain a roster of all 100 students, use a computer to pick 10 at random. � Questions: What method is used? Is it flawed? � Response:

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