QUANTITATIVE RESEARCH TECHNIQUES
STATISTICS EXAM PREP TEST BANK
VERIFIED QUESTIONS AND CORRECT
ANSWERS
●● Independent variable
Answer: Researcher can change and vary
●● Dependent variable
Answer: Outcome
●● Levels of variable
Answer: Experimental and control
●● Types of variables
Answer: Qualitative and quantitative
●● Qualitative
Answer: Not quantifiable
●● Discrete
,Answer: Whole units (frequencies)
●● Continuous variables
Answer: On a scale - real limits
●● Empirical
Answer: Based on observations
●● Operationalize
Answer: Translate observations into variables
●● Reliability
Answer: Thing you use to measure will work the same again and again
●● Constructs
Answer: Can't directly observe - have to ask people
●● Population
Answer: Group to which you can generalize
●● Sample
Answer: Individuals in a study
, ●● Sampling bias
Answer: Results cannot be generalized to population
●● SRS
Answer: Every individual has an equal chance of being included in
sample
●● Size of sample
Answer: Random does not ensure representation, larger sample = more
representative
●● Stratified sample
Answer: Sample from meaningful subgroups
●● Convenience sample
Answer: Get who you can easily reach - not representative
●● Experimental design
Answer: Random assignment, used when we want to know if change in
one thing results change in another
●● Quasi design
STATISTICS EXAM PREP TEST BANK
VERIFIED QUESTIONS AND CORRECT
ANSWERS
●● Independent variable
Answer: Researcher can change and vary
●● Dependent variable
Answer: Outcome
●● Levels of variable
Answer: Experimental and control
●● Types of variables
Answer: Qualitative and quantitative
●● Qualitative
Answer: Not quantifiable
●● Discrete
,Answer: Whole units (frequencies)
●● Continuous variables
Answer: On a scale - real limits
●● Empirical
Answer: Based on observations
●● Operationalize
Answer: Translate observations into variables
●● Reliability
Answer: Thing you use to measure will work the same again and again
●● Constructs
Answer: Can't directly observe - have to ask people
●● Population
Answer: Group to which you can generalize
●● Sample
Answer: Individuals in a study
, ●● Sampling bias
Answer: Results cannot be generalized to population
●● SRS
Answer: Every individual has an equal chance of being included in
sample
●● Size of sample
Answer: Random does not ensure representation, larger sample = more
representative
●● Stratified sample
Answer: Sample from meaningful subgroups
●● Convenience sample
Answer: Get who you can easily reach - not representative
●● Experimental design
Answer: Random assignment, used when we want to know if change in
one thing results change in another
●● Quasi design