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5 "everyday errors in reasoning" |
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- inaccurate observation
- overgeralization
- selective observation
- illogical reasoning
- ideology & politics
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four purposes of research |
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- exlporation
- description
- explanation
- application
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mistakingly observing or measuring a phenomenon |
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wrongly concluding that what is true for a few is true for all |
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To minimize "overgeneralization"? |
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study large, representative samples. replicate the study to see if findings are repeatable. |
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a rough proxy of the population |
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combine the indicators to create a "risk score" EX=gender: series of questions were asked to determine what gender that person may be |
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EX= sex: are you male or female? |
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measurement external internal |
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primary goal of validity? |
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-abstract world general explanation for how things work or how they came to be |
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active member of the population Ex.-snowball |
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form bond with 1 individual, ask them to give you references, look them up, repeat process |
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stanford prison experiment |
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mean guards & passive inmates -ethical issue inmates not informed of the procedure guards could make & modify rules |
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-typically founded on empirical research -knowledge based on their own experience or observations -genrally more accurate than agreement reality but can still have errors |
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concerned with the accuracy of the measurement in the study |
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internal validity (causal validity) |
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*3 criteria (?) only an issue when examining causal chains (X->Y) -explanatory & applied research -concerned w/ how accurately we've identified the cause of Y |
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ratio (interval) ordinal nominal |
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-1964 world medical association's guidelines for medical research -similar ideas as in Nuremberg Code -begins to have an impact on US |
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a measure of a concept that has at least two values or attributes |
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-abstract world to concrete world -moving from general->specific |
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(generalization) concerned with how accurately the findings from our sample describe the large population we are interested in |
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mistakenly observing or measuring a phenomenon |
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to minimize problems with "inaccurate observations"? |
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use deliberate/systematic observations & valid (accurate) measurement tools |
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strength of field research |
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get a rich, full understanding of the behavior |
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1. correlation: X & Y move together 2. proper temporal (time) order: X occurred before Y 3. rule out rival explanation (spuriousness-the most difficult to rule out); X & Y are correlated solely b/c of Z |
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applied (evaluation) research |
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examines the impact of criminal justice policies or programs EX- does random police patrol deter crime? |
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cause us to believe things are true b/c others believe so |
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federal guidelines for human subjects protection Dept. health & human services |
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-started in 1974 -Congress appoints a committee to develop general guidelines for research (medical & social) -completed in 1979 |
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3 ethical principles in Belmont Report |
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1. respect for persons 2. beneficence 3. justice |
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not causal & attributed to by some other factor we'll call "Z" |
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concrete world-> abstract moving from specific-> general |
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(analyzed the same way as interval so combined) -quantitive -most precise of highest level of measurement -attributes reflects an actual, precise quantity -numerically meaningful data=measure the amount of age |
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complete observer "method" |
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identify yourself observe/interview -do not participate in the behavior -may not have a complete appreciation or understanding of the behavior Problem->reactive effect |
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"operational definition"(measure)=concrete or specific way we measure a concept |
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a measure with no variance (all scores the same) |
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summarize a phenomena about which little is unknown -collect "baseline data" EX- How widespread is black tar heroine use in Charlotte? |
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represents how much of a construct EX- age, # of prior arrests |
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explains what social phenomenon EX- what makes people do illegal drugs? - does marijuana use lead to more serious drug use? |
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-a suspect of the population -collect data from this group |
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the general public's awareness & outcry of questionable research |
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1960-1970 account of "questionable" studies surfaced in the news EX- tuskagee syphilis study ~US gov't sponsored ~"natural progression" of sypphalis on 400 poor, undereducated, african american males in Alabama -diagnosis/treatment withheld |
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hypothesis->data->generalization deduced from theory predicts a relationship between Z+variables |
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the entire set of elements (ppl, places, things) that you ultimately want to describe |
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-summarize (describe) the scope of familiar phenomenon EX- what is CLT's crime rate for murder? robbery? ~document how much |
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use data to describe our population required "p-values" |
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mid-1940s war trials from WWII German doctor created for these trials -set of ethical guidelines of how to conduct medical research -ethical guidelines: ~participation should be voluntary ~should minimize/avoid harm to participants
Impact: virtually none b/c they believed they didn't read it |
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weakness in field research |
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small samples, sizes, so may not describe large population |
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Milgram's obedience studies |
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-1960s Electrical Concerns deception ~refused to let participants stop ~psychological stress |
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EX- NSDUH (National Survey on Drug Use & Health) MTF (Monitoring the Future) ask people to self-report their own criminal activity ~under/over scores on report=dark figure |
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written at level participants can understand ~8th grade max ~40% of US reads at 6th grade level
NOT needed: 1. when observing behavior that's not private (ex-park, driving, etc) 2. consent would change behavior and not be feasible to study |
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nomothetic causality (the rule) |
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Explaining the cause of Y n some group of cases ~what factors lead people to become______. May not fit each individual case ~here causality is probabilistic Nomothetic causality is probabilistic ~X does not always cause Y but it increases the likelihood that Y will occur |
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UCR (Uniform Crime Report) v. NCVS (National Crime Victimization Survey) |
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similar, but not identical, set of offenses EX- simple assault, rape, children, homicide ~for NCVS can't say you were killed when already dead Hierarchy Rule (?) Property Crime Rates: ~NCVS has a different denominator which makes # higher |
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complete participant method |
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-do not identify yourself -participate in the group's activities as a "member" -measurement issues: asking a lot of questions may blow your cover |
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institutional review board (IRB) |
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institutes governed by CFR are required to have an IRB to oversee "human subjects research" (min 5ppl w/ diverse background)
When reviewing proposal -determines if the risks of the study are acceptable -determines if there are adequate safeguards in place for participants |
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getting in becoming invisible danger watching/listening data analysis getting out |
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gatekeeper, works with population |
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NCVS (national crime victimization survey) -may accidentally overreport |
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exploration description explanatory application |
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to explore social phenomenon |
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to describe social phenomenon |
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to explain social phenomenon |
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to evaluate policies/programs |
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represents descriptive features EX- race, type of crime, narrative accounts/stories
data can be coded w/ # EX- 1=female & 2=male |
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-studying a phenomena of 2 or more points in time -better at studying causal chain |
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use of data to describe our sample |
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a measure of how much variability (movement) is in the set of scores of an indicator |
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-data has identifiers on it -data is secured (locked up) so that only the researchers can see it |
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-top down research -theory guide approach -used in exploratory or applied research
theory->hypothesis->data->generalization (continuing circle) |
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-studying a phenomenon at one point in time plus one time survey given -provides a snap shot at the moment -not great when examining causal chains |
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-bottom up approach -data driven -used in exploratory research
data->generalization->theory |
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-letting personal or political beliefs make you less objective about the facts -ignoring or discounting finds you dont like or agree with |
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minimize the problem of "ideology & politics"? |
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-put personal biases aside in order to remain objective -can be difficult to do |
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summarizes phenomena used for descriptive research (purpose) |
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3 main options to measure crime |
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-self report survey -official records -victimization survey |
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idiographic causality (not the rule) |
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explaining the cause of Y in a specific case EX-what gave rise to the terrorist attacks on 9/11? -explanation does not necessarily apply to other areas |
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maybe #s but this doesnt necessarily mean quantitative |
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people do not behave naturally if they know they are being watched -important to build rapport/trust ~helps out to become "invisible" |
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participant as observer "method" |
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identify yourself, but also participate in the behavior (to some degree) -gives you firsthand experience/insight -reactive effect still possible |
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2 methods: direct (watching) & interviewing (listening)
good for topics that cannot be easily studied through surveys |
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is a group of people w/ shared experiences special panel study EX-inmate cohort: all offenders incarcerated in 1997 |
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measures a concept over time within the same |
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Ex- race (white, black, etc); sex (m/f); yes/no
-qualitative variable: measures descriptors (very basic) the simplest or lowest level of measurement non-hierachal categories ~no greater than/lesser than |
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what can you do with nominal data? |
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count (or determine the %) in each group |
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measures a concept over time but not same group of people |
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variation of longitudinal studies |
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EX- level of agreement (SD, D, A, SA)
level of frequency (never, rarely, often, always) -qualitative variable -attributes represent hierarchal categories ~do reflect greater than/less than ~but do not convey precise quantities
-because the data does not measure a precise amount, you cannot compute a precise |
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what can you do with ordinal data? |
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-count (or determine %) in each group -rank the order |
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focusing on only those cases that support our personal beliefs/expectations |
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to minimize problem with "select observation"? |
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-predetermine the #/type of people you need to study in order to answer questions & answer data
-dont stop at the moment you begin to see a pattern; the pattern may change |
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jumping to conclusions based on faulty logic EX-most criminals drink soda therefore soda causes crime |
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to minimize the problem of "illogical reasoning"? |
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adhere to the rules of logic |
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-UCR
-NIBRS (national incident based reporting system) ~more crime; more details; no hierarchy rule ~not widely implemented yet |
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making individual-level conclusions from group-level data -to operationally define a construct ~no right/wrong way ~but some are better (more accurate) than others |
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data has no identifiers on it -maximizes the participants safety -if others see the data, they will not be able to identify the participants |
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