Scientific methodology
Imt4110
Imt4110
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Cartes-fiches
descriptive Statistik
are used to describe the basic features of the data in a study.
With descriptive statistik it's possible to simply describing what data shows and present quantitative description in a managable way.
e.g. working with smaller/average values
Distribution
is a summery of the frequency of individual values or range of values for a variable.
-displayed as table or graph
central tendency
The central tendency of a distribution is an estimate of the center of a distribution of values
-Mean
-Median
-Mode
Mean
add up all values and devide by the number of values
15,15,15,20,20,21,25,36: Meean 20.875
Median
is the score to find the exact middle of a set of values
15,15,15,20,20,21,25,36 : Median 20
Mode
is the most freqently occuring value in a set of scrores
15,15,15,20,20,21,25,36 : Mode 15
Dispersion
Dispersion refers to the spread of the values around the central tendency
range- highest minus lowest value - 15,15,15,20,20,21,25,36 : 36 - 15 = 21
standard deviation -> extra card
standard deviation
is a more accurate and detailed estimate of dispersion and a single outlier couldn't exaggerate this value. it shows the relation that the set of scores has to the mean of sample
(sum((values - Mean)^2))/number of values-1 =variance
SQRT(variance) = standard deviation
quantitative research
is the systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques
is explaining phenomena by collecting numerical data that are analysed using mathematical based methods
source of research
survey - weather conducted online, by phone, in person
observation -which may either involve counting number of times that a phenomenon occurs
secondary data -
Analysing
using wide range of statistical techniques
simple graph
show data through tests of correlation between two or more items
pitfalls during research
-respondents may provide inaccurate or false information
- they will say what the researcher want to hear
its generally hard for a researcher to take distance to his own research, so he is a part of the research
control groups
control groups will be used to determine independent variables.
The control group has to include individuals who are similar to the experimantal group in terms of
age, gender, race or other
positive/negative control groups
is a group which will seperated from the rest of the experiment where the independent variables will be tested
negative control groups
are groups, where the conditions of the experiment are set to cause a negative outcome, where no phenomenon is expected
positive control groups
are groups, where the conditions of an experiment are set to guarantee a positive result, where a phenomenon is expected
solomon 4 group design
is a research combiantion with two control group (pretest-posttest)
the various combination of tested/untested groups and controlgroups allows the researcher to ensure that confounding variables and factors have not an influence to the results
during the solomon 4 group designed, every factor of research could be controlled
-enough resources and time to use 4 groups
-statistic involved is extremlely complex
-large budget and extensive team of researchers
scientific approach
Observation
description - information must be reliable
prediction - information must be valid for observations
control - eleminateing the influence of extraneous variables
independent variables
a variable that is part of the situation that exist from which originates the stimulus given to a dependent variable
dependent variable
a variable that receives stimulus and measured for the effect the treatment has had upon it
operationalising
is a process of defining the measurement of a phenomenon that is not directly measurable,
Informed consent
is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal informatio
deceptive research
ethical treatment
debriefing - post experimental interview, dehoaxing, desensitizing
difficult if terminating study early, connection with study breaks
take care of getting contact information
Statistical significance
In statistical hypothesis testing,[1][2] a result has statistical significance when it is very unlikely to have occurred given the null hypothesis
Hypotheses
is the best prediction of the outcome and must be capable to be rejected or confirmed
correlation
is any statistical relationship between variables. It's not needed, that they have any causality between each other but to validate a causality we need a correlation
Reliability
the extent to which a measurement gives consistent results
-wil I get same results with another test?
- will i get same results if measurement will be done by other person
-statistical methods to estimate reliability
validity
the extent to which a concept, conclusion or measurement is well-founded and corresponds accurately to the real world