Chapter 3: Research Methods Flashcards

1
Q

Quasi-experimental design

A

researchers compare groups on predetermined conditions (e.g. age) but cannot conclude causation

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2
Q

Descriptive (single-factor) designs

A

studies that catalogue information about how people perform based on their age but do not attempt to rule out social or historical factors (e.g. longitudinal and cross-sectional designs)

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3
Q

Cohort

A

the year or period of a person’s birth

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4
Q

Cohort effects

A

social, historical, and cultural influences that affect people during a particular period in time; normative history-graded influences present around the time of a person’s birth

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5
Q

Time of measurement effects

A

social, historical, and cultural influences that are presently affecting participants in a study; also normative history-graded influences

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6
Q

Longitudinal design

A

data is collected from the same people repeatedly over several decades

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7
Q

Prospective study

A

kind of longitudinal design where researchers sample from a population of interest and compare data from before and after a particular type of illness or life event to examine risk/protective factors

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8
Q

Limitation of longitudinal studies

A

unable to differentiate between aging within the individual and changes in the social and historical context

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9
Q

Selective attrition

A

special case of non-random sampling when a study loses participants, causing the sample to be unrepresentative of the original one and the data to be skewed

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10
Q

Terminal decline

A

individuals gradually lose cognitive abilities as they approach death

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11
Q

Cross-sectional designs

A

researchers compare groups of people with different ages at one point in time; a snapshot in time

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12
Q

Sequential designs

A

a sequence of studies (e.g. cross-sectional) that are carried out over years; can keep adding cohorts which can address atttrition

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13
Q

Most efficient design

A

a set of 3 designs manipulating the variables of age, cohort, and time of measurement: time-sequential, cohort-sequential, and cross-sequential designs

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14
Q

Time-sequential design

A

examines the effects of time of measurement in contrast to age

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15
Q

Cohort-sequential design

A

cohorts are compared at different ages

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16
Q

Cross-sequential design

A

cohorts are examined at different times of measurement

17
Q

Correlational design

A

relationships are observed among variables as they exist in the world with no attempt to divide participants into groups or to manipulate variables; age is treated as a continuous variable

18
Q

Types of studies

A

laboratory studies, qualitative studies, archival research, surveys, epidemiological studies, case reports, focus groups, daily diaries, observational methods, meta-analysis

19
Q

Laboratory studies

A

participants are tested in a systematic fashion using standardized procedures; most objective

20
Q

Archival research

A

researchers use existing resources that contain data relevant to a question about aging (e.g. newspapers)

21
Q

Epidemiology

A

study of the distribution and determinants of health-related states or events, and its application to the control of diseases and other health issues

22
Q

2 types of population estimates provided by epidemiological studies

A

prevalence and incidence statistics

23
Q

Prevalence statistics

A

provides estimates of the percentage of people who have ever had symptoms in a particular period

24
Q

Incidence statistics

A

provides estimates of the percentage of people who first develop symptoms in a given period

25
Q

Case reports

A

summarizes findings from multiple sources for an in-depth analysis of particular individuals

26
Q

Focus group

A

a meeting of a group of respondents oriented around a particular topic of interest; often a pilot study

27
Q

Daily diary method

A

participants provide data on a daily basis for researchers to examine day-to-day changes

28
Q

Observational method

A

careful and systematic examination of behavior in particular settings

29
Q

Meta-analysis

A

statistical procedure that allows researchers to combine findings from independently conducted studies on similar phenomena by calculating an effect size

30
Q

Pros of quasi-experiments

A

allows researchers to examine effect of a treatment that may not be ethical or logistically possible in an experiment

31
Q

Cons of quasi-experiments

A

have less internal validity than experiments (no random assignment) and unable to determine if aging causes changes

32
Q

(Bivariate) Correlation (r)

A

statistic that indexes the degree or strength of a relationship between 2 continuous variables

33
Q

Cons of correlation

A

cannot infer causation, only useful for linear relationships, unable to determine if there are cohort or time of measurement effects

34
Q

Age effects

A

any differences caused by underlying processes (like biological or psychological) that occur with aging