Meta Analysis Flashcards

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1
Q

Meta Analysis

so what is it?

A

Meta-analysis is a way of using results from different studies, about the same issue,

and studying them as a whole to look for an overall picture about the area of study.

It is more a technique of an analysis than a research method,

it uses studies that have already been carried out with the research methods chosen and separate analyses already done.

If a number of studies separately find the same answer, and then those studies are analysed together (a meta-analysis) then that answer becomes stronger as the studies support one another.

A meta-analysis can also clarify results where studies find different answers.

For example, if one study finds that pre-trial publicity does not have an effect on jury decision making and

other studies have found the opposite, that might something worthy of a meta-analysis.

to clarify if ptp does or dosnt have an effect in JDM

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2
Q

Meta Analysis

primary data

A

Primary data is information observed or collective directly from first-hand experience

data that has been collected by the research of the study currently being undertaken

specifically relating to the aims and/or hypothesis of the study

examples of primary data are: the result of experiment or the answers my questionnaire etc

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3
Q

Meta Analysis

secondary data

A

Secondary data is information that we collected for a purpose other than the current one/study

examples of secondary data are government’s a districts results from another experiment by the same or different researcher ETC

in a meta analysis secondary data will be used to come to a conclusion

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4
Q

Meta Analysis

types of data produced

A

Meta analysis produces quantitative data via statistical analysis of all of the combined data from different studies (secondary data)

this is to find patterns and relationships between the factors

e.g which defined characteristic has a largest effect on jury decision making: race, accent, sex etc

the main focus is the effects/direction of the factors / Concepts being investigated

not the significance as the original research has studied this already

This data is used to come to an overall decision on a subject for example whether or not pretrial publicity has an effect on jury decision making

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5
Q

Meta Analysis

Data requirements for successful meta analysis

A

The data from all of the studies included should be taken in a similar format so all of the data is comparable with one another

and that the statistical tests are valid

In a meta analysis you must only include studies that have good methodology

therefore meaning that only the best evidence can be used in the overall analysis

not bad evidence from poor methodology

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6
Q

Meta Analysis

Is meta-analysis useful in criminal psychology

A

Meta analysis provides insite into:

overall effectiveness of interventions (such as psychotherapy, rehabilitation for criminals etc)

the relative impacts of independent variables (such as the effect of different types of therapy)

and it can also be used by expert Witnesses

as it can show if the data given is an outlier and unusual compared to other studies

and doesn’t represent what field shows as a whole

which helps clear up accusations of age discriminations

apparently

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7
Q

Meta Analysis

Strengths of secondary research

A

a strenght of secondary research is that secondary data can have zero ethical issues

as the studies that they are from have already taken place

and therefore no ethical guidelines can be breached for the meta analysis

as the data is second hand

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8
Q

Meta Analysis

Weaknesses of secondary research

A

• data may not be taken in a similar way / design as the others and therefore cannot compare them validly

meaning the meta analysis may be invalid due to these invalid comparisons between sets of data

• not all studies have the same level of control over extraneous variables such as experimental biases or demand characteristics

so an unknown number of secondary data may be invalid

therefore making the conclusion of the meta-in analysis invalid if there is enough invalid data

• participants may not have consented for their data to be used in another study only the original study that they partook in

meaning that this is one of if not the only ethical issue and a meta analysis could form

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9
Q

Meta Analysis

Step by step

A
  1. Define the research question aka what are you researching/ looking for
  2. Perform the literature search, identified relevant studies
  3. Select the studies from a set criteria of what to include and what not to include
  4. Extract the data from these studies
  5. Analyse of a data from the studies using a array of statistical tests for relationships like a spearmans rho test
  6. Report the results usually in a report/journal
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10
Q

bonus meta analysis things

A

Meta analysis provides the means too define from a broader database than individual studies.
the presence / absence and magnitude of an area of study

(e.g pressence/absence and Magnitude of the PTP effect)

Meta analysis allows methodical issues to be overcome such as:

• lots of data sets leading to uncovering effects that are overwise Masked by not having enough participants

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11
Q

Meta Analysis

large amount of data IV + and Gen too mabye

A

Meta analyses collect a large amount of data

for a vast array of different areas getting a huge overall sample very quickly

which is a strength as a large sample reduces the effects of participant effects and data anomalies

allowing for a more valid establishment of causing effect meaning that meta analysis has internal validity

Also due to a larger sample it’s more likely that it will be more representative of groups in the population such as cultures ages etc

Therefore improving the results generalizability

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12
Q

Meta Analysis

Not carrying out any research ethics +

A

A strength of meta analysis is the researchers are not carrying out any research themselves

therefore avoiding any concern to regards on how participants were treated

therefore meaning that they’re can be no ethical breaches of guidelines

such as deception or protection from harm therefore making meta analysis highly ethical

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13
Q

Meta Analysis

No involvement in Gathering data and Undisclosed methodology called issues may affect conclusions drawn - IV

A

A weakness of meta-analysis is that the researchers do not have involvement in gathering the data directly

and therefore Undisclosed methodologicall issues (e.g. demand characteristics)

may affect the conclusions drawn these would be classed as extraneous variables

weakening the link between cause and effect and therefore meaning that meta analysis will have a lower internal validity

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14
Q

Meta Analysis

Not include unpublished work + iv

A

A strength of meta analysis is that researchers may often not include any unpublished work

meaning that all the findings that are drawn upon have been peer-reviewed

improoving the overall validity of the results

as often unpublished data has poor methodology

meaning the data collected from the study is poor and possibly invalid due to a variety of biases such as publication vise or experiment biases

therefore meaning that when researchers do not include unpublished work

the overall results will have less extraneous variables and therefore less than effects on cause and effect meaning that analysis will have high internal validity

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15
Q

Meta Analysis

An application
it can be used to help resolve issues with Juror Decisions being invalid (biased)

A

A strength of meta analysis is that it Focuses on the size of somethings effect (quantifying differences between two groups)

AKA

in criminal psychology this means that we can establish the impact of ptp on Juror opinions

and thus adapt courtroom procedings to reduce the effect of ptp on juror’s decision making

improving the overall validity of the justice system

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16
Q

Meta Analysis

Allows for reliability +

A

A strength of meta analysis is that it allows for reliability

as the higher the percentage of studies that find similar results

the more likely it is the results are true

and therefore meaning that the overall result of the meta analysis and those studies used in it have reliability

making them Reliable

17
Q

Meta Analysis

Objective data + iv

A

A strength of meta analysis is that it uses quantitative data

which can’t have subjective or debatable meaning in its analysis

due to the data being numerical therefore meaning that whether it is high or low the meaning of this is always clear

As meta analysis uses this type of data the statistical tests it uses to come to a conclusion is also objective

as the cause and effect link between the Factor/ concept/ relationship between factors and it’s effectiveness/effect can accurately be established

Meaning that meta analysis due to its use of objective quantitative data has high internal validity

18
Q

Meta Analysis

small studies different designs - iv

A

A weakness of meta annalysis is that the studies that it uses may have different designs

meaning that it may be difficult to effectively compare them as if the data is collected in different ways it may affect the data itself

compared to being collected in just a singular way

this is an extraneous variable which decreases the link between cause and effect lowering meta analysis internal validity

19
Q

Meta Analysis

Meta analysis may be invalid due to a number of biases - IV

A

• Experementer Bias: (when the experimenter beliefs influence the results)

• search bias: which is when the search for studies can produce unintentionally biased results this includes using an incomplete set of keywords or varying strategies to search databases also research engine used can be a factor affecting the studies found to be able to be selected in the first place

• Selection Bias: which is when researchers must clearly defined the criteria for choosing from the long list of potential studies to be included in the metronalysis to ensure unbiased results if this is not done then the studies used in the meta analysis maybe bias towards a certain conclusion.

If enough of these biases are present in studies in the metronalysis then the whole meta analysis will have many confounding variables within it meaning cause and effects cannot accurately be established and therefore meaning the metronalysis will have low internal validity

20
Q

Meta Analysis

Unpublished data used - IV and gen

A

A weakness of meta analysis using unpublished data is that it may introduce a bias

Unpublished studies that can be located May be of an unrepresentative sample of all unpublished studies done (therefore leading to low Generalisability as Un rep sample to Research as a whole so cant effectivly compare them all)

They may also be of low methodology cool quality compared to publish studies making them difficult to compare them as they may have bad methodology therefore bad data which can lead to invalid conclusion

This is confounding variable that reduces the link between cause and effect leading to an decrease in meta analysis internal

21
Q

Meta Analysis

not using Unpublished studies - IV ( publication bias)

A

A weakness of not using unpublished studies no matter analysis is caused by publication bias

Publication bias: this is when positive studies are more likely to be published than studies that find results that go against the majority view of results in that particular field therefore leading to the sample being bias and the Meta analysis not properly reflecting the Field of research as a whole

Meaning that the metronalysis itself will have an invalid resultant conclusion due to not analyzing the Field of research as a whole including possibly negative studies that did not go to print

Meaning cause and effect can’t be established giving metronalysis low internal validity