Part 1 Non-sampling errors in polls & surveys EVALUATION OF STATISTICAL REPORTS Non-sampling errors as they apply to polls and surveys and observational studies This unit is designed to be taught over a one and a half week period. A possible teaching plan is given below and associated resources are provided in the Resource Pack. 1 Unit Overview UNIT OVERVIEW Lesson 1 Topic Introduction 2 Sampling in the wider NZ population Non-sampling errors Literacy Strategies 3 4 5 6 7 Practice using worry Qs and writing frame Practice with less familiar context Introduce Political polls Practice Exam style question Description Class poll to review and extend ideas on sampling Structure of a media article: driving infringements article + template Extend ideas on sampling to samples of the NZ populationdistribution of key characteristics Power-point presentation with examples and stories Pre-reading to get the gist, read aloud asking worry Qs, note-taking (e.g.Road Tolls article + worry Qs sheet + writing frame) e.g.DVT article: What is DVT? get the gist, ask and answer worry Qs, note 2 positive aspects and 2 concerns e.g.ANZUS article: What is ANZUS? Reading to gain meaning from context Critically evaluate article Power-point presentation on research companies-compare methodologies Compare 2 recent political polls from different companies See new NZQA exemplar 2 Teaching Notes Notes about activity objectives will be made in this panel. References to resources used such as power-point slides will be referenced in this panel. How is a typical media report on a poll or survey organised? Read the media article and identify the following information: (Hint: draw round the information on the article as you locate it and number the section using the codes below) 1. The main finding of the survey What is it? Where in the article is it located? 2. Who funded (commissioned) this survey? Why do you think this survey was carried out?-what is its purpose?-who are the target group? 3. Method: Who was sampled ? Who conducted the survey? Sample size Random/self-selection/man-in-street Telephone/on-line/face-to-face/posted Margin of error: Date: 4. Questions Where located –in graphic/ in text/ both ? Are the questions clearly stated? Can they be inferred from reading the text? 5. Summary of results Where located?-e.g. graphic/ text/ both 6. Comment from an expert Who was the expert(s) consulted in this report? 7. Links to other studies/surveys? What other links are made?-do they seem appropriate? 8. Any other information? Is there any other information not yet highlighted?How would you describe it? Read this report with a critical eye. Comment on 2 good aspects Comment on 2 concerns Are there aspects of this report which you are unfamiliar with? 3 “Worry” questions for evaluating a Poll or Survey 1. Source: Who funded it? Who carried it out? Potential for a hidden agenda 2. Methodology: 1. Who is the target group? 2. Who was sampled? How was the sample selected?- random/representative? self-selection/man-in-street? - Phone/online/face-to-face Potential for selection bias, self-selection bias, interviewer effects What was the sample size? margin of error? Potential for non-response bias 3. What questions were asked? Potential for question effects, survey format effects, behavioural bias How were the “measures” defined? e.g. a “measure” could be ‘bullying’, ‘violence on TV’ 4. What are the findings? are graphics/ summaries appropriate ? 5. What claims (inferences) are made? are the claims for the target group? Potential for transfer of findings can I verified the claims made? 6. What information is missing? 7. Am I willing to believe the findings of this survey or do I need more convincing? Can I make a judgement and justify my judgement with at least 3 pieces of evidence from 1 to 6 above? 4 Writing frame for critically evaluating a report about a Poll or Survey Pre-Reading: “Getting the gist” Read the media report and summarise what it is about in 3 sentences or bullet points. While reading: “Worry Questions” Read the media report again, asking appropriate “worry questions” as you go. Record your answers in the boxes below: Source Method Target Group Who was sampled? Selection method Sample size Margin of error Questions asked Key Findings Claims Made What is missing? Critical Evaluation: Discuss 2 good aspects of this report Discuss 2 concerns 5 Part 2 Observational studies and Experiments Unit Overview UNIT OVERVIEW Lesson 1 2 Topic Introduction Experiments 3 Experiments – design issues Observational Studies Experiment vs OS 4 5 6 7 8 Other Resources Other Resources Evaluation of Report Attack of killer frying pans Exam Style Questions Teen drinking may cause irreversible brain damage More exam style questions & review Description Review & discuss some media articles What are they? Causal claims. Points to Ponder + identification in media articles. Potential Problems Design Issues - Control Group, Placebo effect. Blinding. Review articles that use these terms Look forward/back. Why OS conducted in preference to an Experiment? Discussion of potential problems Summarise differences between the two types of studies. Review articles and classify study type with justification. Evaluation steps, Worry questions, Work-sheet. Begin first in depth evaluation. In depth evaluation of media report. Examples of possible student responses provided Examples of shorter exam style Second in depth analysis of media report. Examples of shorter exam style questions & review of Unit as a whole. In an assessment a student will not have to read a complete report but will have to evaluate selected extracts from media reports, press releases and research papers. This teaching unit will demonstrate in-depth evaluations of media reports and will then give examples of assessment style questions. Assessment style questions will usually contain only an extract from an article and will focus on just a few of the evaluation steps. 6 IN-DEPTH EVALUATION OF STATISTICAL REPORTS Evaluation of a statistical report will involve students answering a number of questions. These are presented in the Resource Pack Teaching Notes under ‘Worry Questions’. Students can use these as a template to get started on evaluation but they will not be available in an assessment. LESSON 6 – Activity 1 – How to evaluate a report Worry question page in Resource Pack. Often useful to print Evaluation Steps this in a different Step One Is the report based on sound research? Find the colour, then can say original research article to determine this. Was it published in a “Use the yellow page reputable Journal? Was it conducted by reputable researchers to evaluate your from a University or Research Institute for example? report” Step Two Identify the type of study undertaken – experiment or observational study? Slide 16 covers steps 1 Step Three Who funded the research? Did they have a vested –5 interest in the outcome? For example, was it a drug company trying to compare their new drug over an existing treatment? Step Four Were reliable data collection methods used? If Reputable journals data was collected from the past, how was accuracy checked? include The Lancet, Could confounding variables have changed over time? BMJ or any other peerreviewed journal. Step Five Who or what was studied? How were they selected? Step Six What measurements were taken and how? Are questions defined and responses provided? Are the measurements appropriate for the effect that is being observed? For example, is an IQ test an acceptable measure of intelligence. How were measurements taken – interview, online, questionnaire. Could this have had an impact on responses? Step Seven Where and when were measurements taken or Context is crucial in engaging students. Start by evaluating articles about familiar contexts and move towards more questions asked? Sometimes if measurements are taken in an unfamiliar contexts. unfamiliar setting for the participant, atypical responses can be Unfamiliar contexts observed. Some measurements will vary according to the time will require some they are taken – morning/evening, summer/winter, research prior to weekend/weekday. evaluation. Step Eight Is the size of the observed effect quantified or just described? Is a claim made that Drug A reduces blood pressure 7 OR that Drug A reduces blood pressure by 15%. Beware of unquantified claims. Step Nine Teaching Notes Are there any confounding variables that should be considered? Step Ten Have the results been extended inappropriately? Step Eleven Is the information complete? Was non-response or missing data a problem? Step Twelve Slide 17 covers steps 6 Do the results make sense? Is there a scientific or – 12 biological reason to support the evidence? Is there any alternative explanation. Step Thirteen Would the results persuade you or someone you know Slide 18 cover steps 13 to modify or change their behaviour? & 14 Step Fourteen Overall conclusion about the research findings. Justify why the study was good or why it was not. Do other studies reveal similar findings? What further information about the study might be useful. Worry Questions & Discuss Worry Questions and Report Evaluation template and Report Evaluation demonstrate relationship between the two and the steps identified template above. 8 WORRY QUESTIONS FOR EVALUATING MEDIA REPORTS ABOUT OBSERVATIONAL STUDIES 1. Source Who funded it? Who were the researchers? Do they work for a reputable organisation? Was there a hidden agenda? Have you found original research paper or press release? 2. Methodology Were individuals studied over a period of time? How was data collected? 3. Potential Problems Confounding variables – as randomisation not used, it is impossible to separate effects of treatment from those of confounding variables. A causal link cannot be claimed. Extending results inappropriately – results of an observational study cannot be extended to a larger population unless the participants were randomly selected and can be considered representative of that larger population. Using the past as a source of data – often participants cannot recall details from the past particularly accurately. If past records are used, such as medical records, then accuracy is not such a problem. 4. Critical Components Is non-response a problem? Have non-response figures been provided? Are the non-respondents different from the participants in any way? Are there any missing values? Could these values show different results? Do the results make sense? Can you think of any scientific or biological reason that might support the results found? Can you think of any alternative explanation for the results? Would the results persuade you or anyone you know to modify their behaviour? 5. Conclusion Given that a perfect observational study is difficult to achieve, how do you rate this one? Can you suggest any improvements to the study? Do you have any suggestions for what researchers could look at next? 9 MEDIA REPORT EVALUATION Media Headline Observational Unit Explanatory variable Response variable Treatment(s) Study Type Original Source Found - YES/NO Design of study - describe methodology of observational study OBSERVATIONAL STUDY - potential problems Evaluate critical components CONCLUSION - good or bad study? Any areas of improvement? 10 EXAMPLE OF ASSESSMENT STYLE QUESTION Extract from Newspaper article “GRADUATING IS GOOD FOR YOUR HEALTH” College graduates feel better emotionally and physically than their high-school drop-out counterparts, a study of over 400,000 US adults reveals. Participants were asked a series of questions including level of education and on how many of the past 30 days they felt physically and emotionally healthy. 1. Define the explanatory and response variables 2. Explain whether any of the potential problems that observational studies can suffer from such as using the past as a source of data, extending results inappropriately or confounding variables, might apply to this study. 3. Are there any concerns regarding the methodology: who was studied and how measurements were taken? Discuss this in relation to this article. 11 EXEMPLAR PAPER 2013 QUESTION THREE Obesity linked to less sleep in childhood Less sleep in childhood equals more obesity in adulthood. That is the conclusion Otago University researchers have come to – showing a possible link between the obesity epidemic and a suggested decline in the number of hours children are sleeping. The Dunedin Multidisciplinary Health and Development Study used data collected from 1 000 Dunedin people born between 1972 and 1973. The researchers used the "body mass index" of the group at 32 years old when 53 per cent were overweight including 18 per cent who were obese. They set those data against "time in bed" data from group members when they were 5, 7, 9, and 11 years old. After discounting lifestyle factors, the study showed that "short sleep time in childhood was associated with an increased adult body mass index". "Our findings suggest that sleep restriction could be a plausible contributing factor to the current epidemic of obesity," the study said. The paper acknowledged that the correlation between lack of sleep in childhood and obesity in adulthood was "weak". "In view of the increasing prevalence of obesity, an effect of this size may have important public health implications." Researcher Dr Erik Landhuis said it was well known children needed an "adequate" amount of sleep. Source: Otago Daily Times, November 4, 2008 (abridged) (a) Identify the explanatory and response variables for the study. Discuss any potential issues with the measurement of the explanatory variable. (b) Explain whether this study is an observational study or an experiment. Give an implication of using this type of study for the relationship investigated. (c) The report begins with the statement “less sleep in childhood equals more obesity in adulthood”. Comment on the quality of this statement. (d) The report states that after discounting lifestyle factors, the study showed that "short sleep time in childhood was associated with an increased adult body mass index". Give examples of two related lifestyle factors that may need to be taken into account for this study, and explain how these may be confounding variables. 12