CHAPTER OBJECTIVES
KEY TERMS
At the end of this chapter, you will be able to:
‹ Identify factors that should be
considered when planning for data
collection
‹ Discuss reasons for piloting data
collection
‹ Describe various methods to measure
and collect quantitative data
‹ Discuss advantages and
disadvantages to data collection
methods
‹ Identify levels of measurement
‹ Examine strategies used to address
issues associated with quantitative
data collection methods
‹ Identify types of random and
systematic measurement errors
‹ Define validity and reliability
‹ Name strategies that researchers use
to establish reliability and validity of
various measures
‹ Recognize questions used to appraise
quantitative data collection methods
‹ Identify the researcher as the most
important data collection instrument
‹ Describe various methods used to
collect qualitative data
‹ Discuss the advantages and
disadvantages of qualitative data
collection methods
‹ Recognize questions used to appraise
qualitative data collection methods
‹ Discuss the importance of protecting
human subjects during data
collectionalternate form
case studies
categorical data
concurrent validity
construct validity
content validity
content validity testing
continuous data
convergent testing
correlation coefficient
criterion-related validity
Cronbach’s alpha
dichotomous
direct observations
divergent testing
equivalence
face validity
factor analysis
focus groups
hypothesis testing
internal consistency
interrater reliability
interval
interviews
item to total correlation
known group testing
Kuder-Richardson
coefficient
levels of measurement
Likert scales
measurement error
methodological
multitrait-multimethod
testing
nominal
observationordinal
parallel form
physiological measures
predictive validity
psychometrics
questionnaires
random error
ratio
reliability
scales
split-half reliability
stability
storytelling
systematic error
test-retest reliability
unstructured observations
validity
visual analog scale