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what is the first step in data preparation?
questionnaire checking (remove incomplete/unusable surveys)
what is editing in data preparation?
fixing illegible, inconsistent, or ambiguous responses
what is coding?
assigning numerical values to responses
difference between precoding and postcoding
PRECODING —→ before data collection (closed question)
POSTCODING —→ after data collection (open-ended)
what is transcribing?
entering data into software
what is data cleaning?
detecting and correcting errors + handling missing data
why do we statistically adjust data?
to make it more representative of the population
what is the final step in data preparation
selecting a data analysis strategy
in data entry, what does 1 question usually equal?
1 variable
how are multi-response questions entered?
each response option = 1 variable
what must each variable include?
name, labels, value labels
what determines the choice of statistical technique?
research objectives
data type
number of variables
purpose
2 main data types
non-metric (nominal, ordinal)
metric (interval, ratio)
what is descriptive analysis?
summarising data
what is a univariate technique?
analysis of one variable
how do you analyse non-metric data?
frequency distribution
how do you analyse metric data?
mean
when do you use Chi-square
when at least one variable is non-metric
purpose of Chi-square
test relationship between variables
null hypothesis (Chi-square)
no association between variables
when do you use correlation?
when both variables are metric
what does correlation measure?
strength and direction of a relationship
range of correlation coefficient?
-1 to +1
what does 0 mean in correlation?
no relationship
null hypothesis (correlation)
correlation = 0
when is a t-test used?
to compare means between 2 groups
what are independent samples?
2 different groups
what are paired samples?
same group measured twice
null hypothesis (t-test)
means are equal
when is ANOVA used?
to compare means across 3 or more groups
data type required for ANOVA?
DEPENDENT = metric
INDEPENDENT = non-metric
null hypothesis (ANOVA)
all group means are equal