Week 10: MM research

Question 1

what is mixed method research

Answer 1

‘Research in Which the investigator collects and analyzes data, integrates the findings, and draws inferences using both qualitative and quantitative approaches or methods in a single study or program of inquiry”

Question 2

what is the main multi method consideration

Answer 2

integration

Question 3

what are some advantages of mixed method research

Answer 3

Pragmatism paradigm
“The research question should drive the inquiry and
…the question is more important than the method”
(usually at least 2 research questions are involved)
Complementarity: Promotes the best of both approaches
Practicality: Researchers can ask questions that cannot be studied using only one method
Enhanced validity: When support for a model or hypothesis comes from complementary types of data, can be more confident about the validity of results

Question 4

how does mixed methods impact validity

Answer 4

Enhanced validity: When support for a model or hypothesis comes from complementary types of data, can be more confident about the validity of results

Question 5

what is convergent design

Answer 5

quant and qual together

Question 6

sequential design two types?

Answer 6

explanatory and exploratory

Question 7

convergent design is ….

Answer 7

parallel

Question 8

what notation indicates a convergent design

Answer 8

+

Question 9

what notation indicates sequential design

Answer 9

an arrow

Question 10

what notation indicates priority

Answer 10

capitalization

Question 11

what notation indicates non- dominant

Answer 11

lowercase

Question 12

explanatory designs always have quantitative _____

Answer 12

1st

Question 13

exploratory designs always have quantitative studies

Answer 13

second

Question 14

what relationships can you see with mixed method

Answer 14

Identical
Parallel
Nested
Multilevel

Question 15

generalizability

Answer 15

can the population being sampled be looked at diversely

Question 16

identical sample

Answer 16

same people in each group, not as common

Question 17

parallel sample

Answer 17

quantitative approach going and a different group in the qualitative group but going at the same time

Question 18

a nested relationship

Answer 18

a big sample is the quantitive piece and then looking in the bigger pool for some participants to do qualitative as well (same people but some taken for both)
this is commonly done and can see congruence here

Question 19

multilevel relationship

Answer 19

when you have participants who are in different types of categories –> different groups of people

Question 20

how does sampling usually look in mixed method

Answer 20

usually large quantitative group with smaller qualitative

Question 21

how does data collection work for mm research

Answer 21

two different group

Question 22

analysis

Answer 22

1+1 = 3

Question 23

what are some different types of analysis

Answer 23

separate vs merged
interpretive integration
converting data
meta matrices

Question 24

what is converting data

Answer 24

quantifying qualitiative data and qualifying quantitative data

Question 25

what is matrices

Answer 25

look to book

Question 26

quality in MM research

Answer 26

inference quality and inference transferability

Question 27

what is inference quality

Answer 27

believable and accuracy of the conclusions

Question 28

how do you deal with inference quality in quantitative data

Answer 28

internal validity

statistical conclusion validity

Question 29

how do you determine inference quality in qualitative study

Answer 29

credibility

Question 30

inference transferability in quantitative

Answer 30

external validity

Question 31

inference transferability in qualitative is

Answer 31

transferability