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69 Cards in this Set

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Research process (12 steps)

Question


Hypothesis


Design a study


Research method


Pilot study


Recruit participants


Run study


Analysis


Conclusion


Report


Peer interview


Publish

Types of data + evaluation

Quantitive numerical


+Easy to analyse, objective


-Narrower scope= less representative


Qualitative


+Detail, external validity


-difficult to analyse, subjective



Q+Q

Types of research

Primary research- collected for investigation- field


Secondary research- already exists-desk



Meta analysis- combines secondary from different sources

P+S+M

Different types of variables

Variable= anything that can change or vary


Independent variable= manipulated by the researcher


Dependant variable= variable being measured by the researcher

Levels of the IV

We need something to compare the experiment to:


1- test the participant before and after, find difference


2- two different groups


Eg. If the experiment is testing the effects of redbull:


Experimental Con= redbull


Control Con= no redbull/water


Levels of the IV

We need something to compare the experiment to.


1- test participants before and after (find difference)


2- two different groups

Operationalism definition

Defining variables with measurable form

Research aim definition

What the researcher intends to study- purpose

Hypothesis+ what it must include

Testable statement- the relationship between variables. Must include:


1- all conditions of IV


2- the DV


3- 'significant'

Types of hypothesis

Directional- states particular outcome and highest scoring group


Non-directional- difference is expected but not group specified


Null- no difference/correlation if there is it is due to chance

Extraneous variable

Variable that may affect the DV and need to be controlled- don't carry systematical with IV

Confounding variable

Variables that have affected the DV and have confounded the results and have varied One condition more than the other

Types of CV and EV

Situational- environmental variable eg noise, time


Participant- characteristics of participants eg confidence, sleep

5 ethics

(lack of) informed consent


Deception


(Failure to) protect from harm


(Lack of) confidentiality


(Lack of) privacy

Type of experiments (4)

Lab


Field


Natural


Quasi

Lab experiment+ evaluation

Controlled artificial environment


Researcher manipulates IV


+High level of contribute=strengthen cause and effect


-demand characteristics=reduces internal validity


-low ecological validity=lacks external validity


-might be low in mundane validity

+---

Field experience+ evaluation

-not artificial environment


-researcher manipulates the IV



+High ecological validity


+Finding can be generalised (external validity)


-Lack of control


-Cause and effect may be low

++--

Quasi experiments + evaluation

-in any environment


-No manipulation or change to IV



+Less open to researcher bias


-Likely to be extraneous or confounding variables

+-

Natural experiment + evaluation

-in any environment


- change in IV is natural



+Can provide opportunities that wouldn't otherwise be ethical


+High external validity


-high chance of confounding valiables

++-

Experimental designs (3)

Independent groups


Repeated measures


Matched pairs

Independent groups and evaluation

Two groups of people, each perform one condition of the IV



+Controls demand characteristics


+Controls order effect


-More participants needed


-participant variables

++--

Repeated measures and evaluation

One group perform both conditions


+Fewer participants


+Controls participant variables


-Demand characteristics


-Order effect

++--

Matched pairs and evaluation

People matched on certain characteristics likely to effect the DV, do opposite conditions


+Partially controls participant variables


+Controls for order effect


-Time consuming


-More participants needed

Counterbalancing

Controls order effect by using an ABBA order- half do a then b, others do b then a

Random allocation

Partially controls participant variables as there is an equal chance of either condition


Pull out of hat

Randomisation

Controls for the effect of bias by making everything possible random

Standardisation and brief

Each participant should be treated the same. Includes a list of standardised instructions

Sampling

Method used to select research participants from the population

Target population

The population you are hypothesising about

Sample population

The people you use from the target population. Ideally representative= generalise

Bias

Where one group is over/under represented in sample

Generalisation

The extent that findings can be generalised to the target population

Sampling methods: 5 types

Opportunity sampling


Self selected/volunteer


Random sampling


Systematic sampling


Stratified sampling

Opportunity sampling

Willing and available at time of study


+Convenient, save time, effort, money


-Unrepresentative, researcher bias

Self selected/volunteer

People who volunteer to take part


+ Useful for unusual samples, easy


- only certain types of people volunteer

Random sampling

Everyone in the target population have equal chance


+ No researcher bias, equal chances


- difficult and time consuming, unrepresentative

Systematic sammpling

Predetermined system


+ No researcher bias


- difficult and time consuming

Stratified sampling

Proportion from subgroups


+ Very representative


- difficult and time consuming

Single blind procedure and strength

Participants don't know the aims or hypothesis- researcher does


+Lessons demand characteristics

Double blind and a strength

Neither researcher or participant knows the details


+ Lessens DC, reduces researcher bias

Investigator effects

Researcher bias. Can be controlled through randomisation, standardisation, double blind

Participant reactivity

Demand characteristics- extraneous variable

Pilot study

Small scale- can make changes

6 types of observations

Naturalistic


Controlled


Participant


Non participant


Covert


Overt

Naturalistic

Where the behaviour would naturally occur


+ External validity- generalised


-lacks control- replication

Controlled

Some controlled variables, control of extraneous variables


+ Extraneous V less of a factor


- may not be able to generalise

Participant

Joins workforce


+Insight> validity


-Objectivity lost

Non participant

Researcher remains separate


+Objective view


-lose valuable insight

Covert

Participants unaware they are the focus


+ Removes participant reactivity> validity


-Ethics questioned

Overt

Participants know they are being studied


+ Ethically acceptable


- may influence their behaviour (DC's)

Observational design

Unstructured or structured -writing down everything > okay on small scale


Various systems eg behavioural checklist

Sampling methods (2)

Time sampling- at time intervals


Event sampling- no. of times a behaviour occurs

Inter-rater-reliability (inter-observer reliability)

To ensure reliability- two or more researchers independently record and compare

4 things not to do in questionnaires

Use jargon


Emotive language


Double barreled questions


Double negatives

Evaluation of questionnaires

+easy> more data> generalisability


- truthful?> Leading Q, social desirability bias> validity

+-

Evaluation of open questions

+ more detailed


- subjective to interpret

+-

Evaluation of closed questions

+objective data- analyse


- not as much information

+-

Evaluation of interviews

+structured- easy repitition- reliability-easily analysed


+Unstructured- more detailed- opinions



-interviewer bias


-Social desirability

++--

Correlation

A relationship between covariables


Must be continuous covariables

Evaluation of correlations

+useful as a starting point


+Provide quantitative measure of strength and direction



-Cannot establish a causal relationship


-intervening variables

++--

Correlation coefficient

A calculation to statistically analyse and generate a precise quantitative measure

Measures of central tendency

Mean


Median


Mode

Mean + evaluation

Adding up and dividing by number of scores


+ Most sensitive


-easily distorted- doesn't tell us range

Median + evaluation

The middle number when put in order


+Extreme scored don't affect it


-Less sensative

Mode + evaluation

Most often- may be bimodal


+ Easy to calculate


-Very 'crude' measure

Range (measure of dispersion)

Take lowest from highest +1


+ Easy to calculate


- distorted by extremes

Standard deviation (SD)

Tells us how far the scores deviate from the mean, the larger the SD the further from the mean

3 types of questionairres

Likert scale- strongly agree/ disagree


Rating scale- 1 2 3 4 5


Fixed choice- °interesting •easy

Two types of interviews

Structured (predetermined questions)


Unstructured (questions vary from predetermined)