Chapter 6: Research Strategies and Validity Flashcards

1
Q

Qualitative Research

A

narrative report attempting to DESCRIBE and SUMMARIZE observations

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2
Q

Quantitative Research

A

measuring variables that vary in QUANTITY that can be summarized, analyzed, and interpreted by statistical analysis.

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3
Q

5 types of research strategies

A

1) descriptive
2) correlational
3) experimental
4) quasi experimental
5) non-experimental

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4
Q

______strategy measures the current state of individual variables for specific groups of individuals, and is not concerned with the relationship

A

descriptive strategy

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5
Q

_____ determines the existence of a relationship between 2 or more variables, but is not causal

A

correlational strategy

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6
Q

non- experimental research strategy

A

answers questions about relationship between 2 or more variables by demonstrating a difference between groups and treatment conditions, but there is not enough control to completely explain the relationship (does not produce cause-effect), but demonstrates a relationship

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7
Q

example of non- experimental research strategy

A

there is a relationship between gener and verbal ability; girls tend to have a higher verbal ability then men, but we don’t know why

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8
Q

quasi experimental research study

A
  • addresses questions about cause and effect relationships between 2 or more variables.
  • uses some control, but flaws prevent results from containing absolute causal relationship.
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9
Q

example of a quasi experimental research study

A

the treatment may cause a reduction in smoking behaviour, but the reduced smoking may be caused by something else.

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10
Q

experimental research study

A

cause answer CAUSAL QUESTIONS about relationship. rigorous control.

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11
Q

experimental research study example

A

increasing the amount of exercise causes a decrease in cholesterol levels.

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12
Q

any factor that raises doubts about research results or interpretation of results is a ________

A

threat to validity

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13
Q

validity:

A

how accurately the research study actually answers the questions it was intended to answer.

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14
Q

4 primary types of validity

A

1) statistical conclusion validiity
2) construct validity (face, content, convergent and divergent)
3) internal validitiy
4) external validity

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15
Q

statistical conclusion validity and threats

A

-concerns the extent to which the researchers use statistics properly and draw the appropriate conclusions from the analysis.

4 threats:

1) wrong analysis- wrong statistical tests
2) selective reporting–> will skew stats
3) fishing: researcher keeps trying different analysis until soemthing significant changes
4) reliability of measures
- less reliability= increased error validity and NON SIGNIFICANT statistics

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16
Q

Construct validity

A

face, content and convergent/divergent as seen in chapter 2.

17
Q

external validity

A

degree to which obtained values hold true outside the constraints of the study.
- changes to population, environment.

18
Q

3 kinds of generalization

A

1) generalization between sample to the general population
2) generalization from one research event to another. would the results obtained in one specific study also be obtained in aa similar study? is the study REPLICATABLE
3) generalization from a research study to a real-world situation.
- lab setting vs natural environment

19
Q

Internal validity

A

degree to which a study/experiment is methodically sound and confound free. does the research produce a SINGLE EXPLANATION for the relationship between the 2 variables?

20
Q

Threats to EXTERNAL VALIDITY and examples

A

1) generalization ACROSS PARTICIPANTS
- selection bias; sample that has characteristics that are different than the target population
- using only university or college students
- volunteer bias
- participants in study have similar characteristics and do not represent target population (ex/ sampling from a suburban neighborhood and generalizing to entire city)
- cross species generalizatoin

2) Generalizing ACROSS FEATURES of a STUDY
- novelty effect; may be responding differently than in real world
- reactivity; influence of a participants awareness of participating in an investigation
- multiple treatment interference; the influence of experience from earlier treatments (PRACTICE OR FATIGUE)
- experimenter characteristics: participants can be indirectly influenced by the characteristics of the experimenter

3) generalization ACROSS FEATURES of a MEASURE
- sensitization; when the process of measurement alters participants so that they react differently to treatment–> occurs in pre test sensitization
- time of measurement; affect of treatment may decrease or increase with time-something that may not be accounted for. results may differ on time of measurement

ex/ smoking cessation on certain drug is effective the first few months of treatment, but starts to wear off after 6 months–> threat to validity

21
Q

confounding variable

A

a threat to INTERNAL validity that is an extraneous variable that changes and influences the DV being studied.
- may provide an alternative explanation for the observed relationship between 2 variables and therefore is a threat to internal validity

22
Q

Categories of confounding variables of internal validity

A

1) environmental variables–> time of day, size of room
2) threats to internal validity for studies that compare DIFFERENT GROUPS–> individual differences
3) Time related variables: threats to internal validity for studies comparing one group over time

23
Q

assignment bias? examples of threats to internal validity for studies that compare DIFFERENT GROUPS

A

assignment bias: when the process used to assign different participants to different treatments produces groups of individuals with different characteristics.

example of individual difference threat to internal validity: if you are testing a drug that makes you run faster, and you separate people into two groups (DV and CONTROL) the dv, that gets the drug, are naturally faster (different characteristic) than the control group that does not get any drugs. the differences between the groups will cause a heightened and exaggerated outcome, and allows for an alternative explanation for any observed difference

24
Q

Factors that change as time passes? Examples of Time related variables: threats to internal validity for studies comparing one group over time

A

1) History–> environmental event other than treatment between treatment conditions that may effect performance (ex/ events at home)
2) maturation; systematic changes in participants physiology or psychology; large concern when particpants are elderly or really young children
3) instrumentation: instrument bias or decay. observer may change–> get better with practice, fatigued
4) testing effects: fatigue effects, practice effects, carry over effects

5) regression to the mean
- tendency for the extreme scores to move towards the mean when measurement procedure is repeated. (due to improvement)

score= true score + error

6) attrition; participants lose interest, they move away, the die etc.
- causes amount of people in group at the end to be different than the amount at the beginning of the study

25
Q

when is regression to the mean a problem?

A

when participants are selected because of their low or high scores.

26
Q

descriptive studies have _____ internal validity and _____ external validity

A

N/a internal, high external validity

27
Q

correlational studies have _____ internal validity and _____ external validity

A

poor internal validity (is not CAUSAL) and high external validity (not a lot of controls that would make the experiment unable to transfer to a normal setting)

28
Q

experimental studies have _____ internal validity and _____ external validity

A

high internal validity, low external validity (hard to repeat in normal setting)

29
Q

non experimental studies have _____ internal validity and _____ external validity

A

poor internal validity (no controls) and a bit higher external validity

30
Q

quasi experimental studies have _____ internal validity and _____ external validity

A

lower than experimental but more than non experimental internal validity, and higher experimental validity

31
Q

Artifacts

A

external factors that may influence or distort measurements

-threat to internal and external validity

32
Q

2 common artifiacts

A

1) experimental bias or expectancy: when experimenter’s believes regarding the outcome influence the results
- may treat participants differently, misjudge responses, not record results properly

2)demand characteristics and participant bias: curs of features from research situtation that suggest the purpose and hypothesis of the study or influence the participant behavior