PS2024 Statistics - qualitative research and factor analysis

?
what is the purpose of factor analysis and how is this achieved?
FA is a way of reducing data by finding the common underlying essence of a group of items
1 of 26
what type of factor analysis are we most concerned with, exploratory or confirmatory?
exploratory
2 of 26
what value do correlation matrices typically show?
pearson's r
3 of 26
what type of factor analysis is formalised using the regression model?
primary component analysis
4 of 26
what does a factor loading matrix show?
the correlation of each observed variable with each factor
5 of 26
how can you define the word 'factor'?
a cluster of variables that correlate highly
6 of 26
are 'factor's'/latent variables directly observable?
no
7 of 26
give 3 reasons why qualitative research was once disregarded?
there are limitations on what people can/will tell us, not considered 'respectable', not concerned with universal phenomena
8 of 26
what is triangulation?
checking data against other data collected in another way (e.g. quantitative)
9 of 26
does the hard approach see one type of research as superior?
yes, qualitative research
10 of 26
the soft approach regards qualitative research as what in relation to quantitative?
an extension of quantitative research
11 of 26
list some ways that qualitative research is different
it's inductive not deductive, highly context aware, concerned with the what more than the why, puts little emphasis on generalisability, small sample size, creativity necessary
12 of 26
according to Elliot et al. (1999) how can we evaluate qualitative research? (4 ways)
grounding in example, coherence without oversimplifying, credibility checks, does it resonate with the reader?
13 of 26
what are 3 potential credibility checks for qualitative research?
analytic auditing, triangulation, respondent validation
14 of 26
what are the 3 components of grounded theory and which order do they occur?
concept --> category --> proposition
15 of 26
what is the difference between induction and deduction?
induction is bottom up, deduction is top down
16 of 26
what is a difference between grounded theory and thematic analysis?
thematic analysis typically stops before the proposition step
17 of 26
what are some disadvantages of grounded theory as a methodology?
time consuming, long periods of uncertainty
18 of 26
grounded theory can be described as iterative, but what does this mean?
there is a continuous interaction between analysis and data
19 of 26
what is constructivist grounded theory?
it's half way between realist and post-modernist positions - doesn't deny there is a reality, but proposes that data is co constructed by participant and researcher
20 of 26
what are the 2 purposes of a study, that determine what statistical test to use?
descriptive or inferential
21 of 26
what are the 4 types of variables?
nominal, ordinal, interval, ratio
22 of 26
which types of data are necessary to use parametric statistics?
interval or ratio
23 of 26
if there are no groups, what analysis would you use?
correlation or regression
24 of 26
if there are 2 groups, which analysis would you use?
t test
25 of 26
if there are 2+ groups, which analysis would you use?
ANOVA
26 of 26

Other cards in this set

Card 2

Front

what type of factor analysis are we most concerned with, exploratory or confirmatory?

Back

exploratory

Card 3

Front

what value do correlation matrices typically show?

Back

Preview of the front of card 3

Card 4

Front

what type of factor analysis is formalised using the regression model?

Back

Preview of the front of card 4

Card 5

Front

what does a factor loading matrix show?

Back

Preview of the front of card 5
View more cards

Comments

No comments have yet been made

Similar Psychology resources:

See all Psychology resources »See all statistics resources »