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Title: FEM3102


1
FEM3102
  • Research Methods in Adult Development and Aging

2
THEORIES OF ADULT DEVELOPMENT
Table 1 Theoretical Approaches in Adult
Development
APPROACH WRITERS APPROACH FOCUS TOPIC
Behavior, social learning Bandura (1969, 1977) Seligman (1972) Learning Motivation
Psychoanalysis Freud (1946) Erikson (1964, 1979) Personality Motivation
Humanistic Maslow (1970) Kohlberg (1973, 1981) Motivation Moral development
Intraindividual differences Cattel (1971), Horn (1980) Guilford, Zimmerman Guildford (1976) Schaie (1977,1978) Intellectual development Personality
Attribution Whitbourne (1985) Self-esteem Social psychology
Information processing Sternberg (1980) Learning, Memory
Dialectic Riegel (1975, 1976) Personality, Life Crisis
3
  • Behavior, Social Learning
  • This approach focus on the environment as an
    indicator of behavior behavioral changes
  • Reward and punishment will influence human
    behaviors.
  • This approach considered role model which has
    emotional bond and can influence human behaviors.

4
  • Psychoanalysis
  • Focuses on emotional conflict and unconscious
    mental process
  • Emotional conflict is a result of social
    responsibilities or reality against individual
    desire
  • Erikson expanded psychoanalysis to adulthood?
    psychosocial crisis in adulthood is intimacy
    conflict, productivity and integrity

5
  • Humanistic
  • Focuses on motivation as the primary difference
    between human and animal.
  • Emphasize on personal growth ? self-actualization
  • Humans will put the highest expectations to get
    the best outcome

6
  • Individual differences
  • This approach is always used in psychology test
    for example intelligence test and personality
    test
  • Each individual is different
  • Information processing
  • Can give explanations of older peoples memories
    and perceptions
  • Human operation computer

7
  • Attribution
  • Labeling on events that happened in society
  • This label can be attribution depending on types
    of label toward that events
  • The individual will behave accordingly to the
    label of events that been given.

8
  • Dialectic
  • focuses on changes and emphasizes on resolution
    and synthesis after individual face conflicting
    issues
  • Individual is seen as an active organism ? always
    face incongruent and conflicting situations and
    therefore increase higher level skills through
    revolution and synthesis to handle conflict.

9
Problem situation
  • Leah and Sarah are both 75 years and are in
    fairly good health. They believe that their
    memory is not as good as it once was, so they
    both use various memory aids Leah tries to think
    of images in her mind to remember her grocery
    list, whereas Sarah writes them down. Leah and
    Sarah got into a discussion recently about which
    technique works better.

10
Measuring adult development and aging
  • Three approaches
  • Observing systematically
  • Using tasks to sample behavior
  • Asking people for self-reports
  • Researchers must also ensure that the
    participants in the study are representative of
    the larger group of people in question.

11
Concepts in measuring development
  • Reliability
  • The extent to which it provides a consistent
    index of the behavior or topic of interest.
  • Example a measure of memory is reliable to the
    extent that it gives a consistent estimate of
    performance each time you administer it.

12
Concepts in measuring development
  • Validity
  • The extent to which it measures what researchers
    think it measures.
  • Example a measure of memory is valid if it can
    be shown to actually measure memory (and not
    vocabulary ability, for example)
  • Often established by showing that the measure is
    in question is closely related to another measure
    known to be valid.

13
1. Systematic Observation
  • Involves watching people and carefully recording
    what they say or do.
  • Two forms of systematic observation
  • Naturalistic observation
  • Structured observation

14
Naturalistic observation
  • People are observed as they behave spontaneously
    in some real-life situations.
  • Example Leah and Sarah could be observed in the
    grocery store purchasing their items as a way to
    test how well they remember.

15
Structured observation
  • Researchers create a setting that is particularly
    likely to elicit the behavior of interest.
  • Especially useful to study behaviors that are
    difficult to observe naturally.
  • Example Emergency is a rare and an unpredictable
    event. Therefore, researchers can stage an
    emergency and observe how people react.
  • However, whether the behaviors in staged
    situations are the same as in naturally occurring
    situations is difficult to determine. Therefore,
    it is difficult to generalize from staged setting
    to the real world.

16
2. Sampling behavior with tasks
  • When investigators cannot directly observe
    certain behaviors, they create tasks that allow
    them to sample the behavior.
  • Example One way to test adults memory is to
    give them a list of items, perhaps a simulated
    grocery list, to learn and remember.
  • This approach is popular because it is
    convenient.
  • However, it has a problem with validity. How do
    you know what people do in real life situations
    when the list is actual items they need to
    purchase.

17
3. Self-reports
  • A special case of using tasks to sample peoples
    behavior. Self-reports are simply peoples
    answers to questions about topic of interest.
  • Written form Questionnaire
  • Verbal form Interview
  • Questions are created to probe different aspects
    about the topic of interest.
  • Example If you think imagery and lists are
    common ways people use to remember grocery items,
    you could devise a questionnaire and survey
    several people to find out.

18
3. Self-reports
  • Self-reports are very convenient and provide
    information on the topic of interest.
  • However self-report are not always good measure
    as they can be inaccurate. People may not always
    remember precisely what they did in the past, or
    they may report what they think the researcher
    wants to hear.

19
Representative sampling
  • Researchers are normally interested in broad
    groups of people called populations. Example FEM
    students taking FEM3102, the baby boomer
    generation.
  • Almost all studies include only a sample of
    people, which is a subset of the population.
  • Researchers must be careful to ensure that their
    sample is truly representative of the population
    of interest.

20
Representative sampling
  • An unrepresentative sample can result in invalid
    research.
  • Always critically evaluate the sample in a
    research and how the researchers generalize their
    findings.

21
General designs for research
  • Primary designs for studying adult development
    and aging
  • Experimental studies
  • Correlational studies
  • Case studies

22
1. Experimental design
  • An experiment involves manipulating a key factor
    that the researcher believes is responsible for a
    particular behavior and randomly assigning
    participants to the experimental and control
    groups.
  • The researcher is most interested in identifying
    differences between two groups of people
  • Experimental group receives the manipulation
  • Control group does not receive manipulation

23
  • The researcher exerts precise control over all
    important aspects of the study including the
    variable of interest, the setting and the
    participants.
  • Researchers can infer cause-and-effect relations
    about variables due to systematic manipulation of
    key variables.
  • Independent variables variables manipulated by
    the experimenter.
  • Dependent variables behaviors or outcomes that
    are measured.

24
  • Age cannot be an independent variable because we
    cannot manipulate it.
  • Therefore, we cannot conduct true experiments to
    examine the effects of age on a persons
    behavior. At best, we can find age-related
    effects of an independent variable on dependent
    variables.

25
2. Correlational design
  • In a correlational study, investigators examine
    relations between variables as they exist
    naturally in the world.
  • In the simplest correlational study, a researcher
    measures two variables, then sees how they are
    related.
  • The results of a correlational study usually are
    measured by computing a correlation coefficent
    (r).

26
  • Correlations can range from - 1.0 to 1.0,
    reflecting three different types of relations
    between the two variables
  • When r 0, the two variables are unrelated.
  • When r gt 0, the variables are positively related.
  • When r lt 0, the variables are inversely related.
  • Correlational studies do not imply
    cause-and-effect relations.
  • However they do provide important information
    about the strength of the relation between
    variables (reflected in the absolute value of the
    correlation coefficient).

27
  • Correlational techniques are used a great deal
    because developmental researchers are interested
    in how variables are related to factors that are
    very difficult, if not impossible, to manipulate.
  • Most developmental research is correlational at
    some level because age cannot be manipulated
    within an individual.
  • This means we can describe many developmental
    phenomena, but we can only explain some of them.

28
3. Case study design
  • Used when researchers cannot obtain measures
    directly from people and are able only to watch
    them carefully.
  • In certain situations, researchers may be able to
    study a single individual in great detail in a
    case study.
  • Case study is especially useful when researchers
    want to investigate a rare phenomena, such as
    uncommon diseases or people with extremely high
    ability.

29
  • Case studies are also useful for opening new
    areas of study which can be followed by larger
    studies using other methods (e.g. experiments).
  • The primary limitation of this method is whether
    the findings from one individual can be
    generalized to others.

30
Designs for studying development
  • Developmental researchers need to be sensitive of
    developmental differences in choosing a research
    design.
  • Three key variables in developmental research
    design
  • Age
  • Cohort
  • Time of measurement

31
Age
  • Age effects reflect differences caused by
    underlying processes, such as biological,
    psychological or sociocultural changes.
  • Although usually represented by chronological
    age, age effects are inherent changes within the
    person and are not caused by the passage of time
    per se.

32
Cohort
  • Cohort effects are differences caused by
    experiences and circumstances unique to the
    generation to which one belongs.
  • In general, cohort effects corresponds to the
    normative history-graded influences.
  • However, it is not easy to define a cohort as it
    can be specific such as in all people born in one
    particular year or general as in the baby-boom
    cohort.

33
  • Each generation is exposed to different sets of
    historical and personal events e.g. World War II,
    home computers, or opportunities to attend
    college.
  • Cohort effects can have significant implications
    on research.

34
Time of measurement
  • Time-of-measurement effects reflect differences
    stemming from sociocultural, environmental,
    historical or other events at the time data are
    obtained from the participants.
  • The point in time in which a researcher decides
    to do research could lead him or her to different
    conclusions about the phenomenon being studied.
  • Example Data about wage increase may be
    influenced by the economic conditions of that
    year (economic recession vs. boom)

35
  • The three building-block variables (age, cohort,
    and time of measurement) can be represented in a
    single chart.

Time of Measurement Time of Measurement Time of Measurement Time of Measurement Time of Measurement
Cohort 2000 2010 2020 2030
1950 50 60 70 80
1960 40 50 60 70
1970 30 40 50 60
1980 20 30 40 50
36
  • Cohort is represented by the years in the first
    column.
  • Time of measurement is represented by the years
    across the top.
  • Age is represented by the numbers in individual
    cell. Computed by subtracting the cohort year
    from the time of measurement.
  • Confounding is any situation in which one cannot
    determine which of two or more effects is
    responsible for the behaviors being observed.

37
Three types of research design
  • Cross-Sectional Design
  • Longitudinal Design
  • Sequential Design

38
Cross sectional design
  • subjects are tested only once
  • subjects are from different ages groups
  • would tell us about age differences but not
    change over time
  • Example 100 people (1/4 are 20, 1/4 are 30, 1/4
    are 40, 1/4 are 50) are given a one time survey
    about education.

39
Cross-Sectional Diagram__________________________
______Time of Testing
1970 1980 1990 2000
1920 _ _ 70
1930 _ _ 60
1940 _ _ 50
1950 _ _ _ _
C O H O R T
40
  • Cross-Sectional Design __________________________
    ____
  • Advantages
  • Popular because they are relatively in-expensive,
    easier to manage less time time consuming.
  • Avoid the problems of subject attrition (subjects
    dropping out of the study) and practice effects
    (subjects being repeatedly tested) that plague
    longitudinal studies

41
  • Cross-Sectional Design __________________________
    ____
  • Disadvantages
  • Drawbacks include the confounding of age and
    cohort differencesi.e. differences among the
    groups maybe due to their historical/
    environmental events and not because of
    development process.
  • The results are thus contaminated by generational
    differences.

42
Longitudinal design
  • Follow the same subjects over time
  • Allowing change or consistency to be evaluated
    within the same group
  • Issues specific to Longitudinal Design
  • Selective Attrition Drop-out
  • Time of Measurement Effect

43
Longitudinal Diagram_____________________________
___Time of Testing
C O H O R T
1970 1980 1990 2000
1920 50 60 70 _
1930 _ _ _ _
1940 _ _ _ _
1950 _ _ _ _
44
  • Longitudinal Design______________________________
  • Advantages
  • Provide a good picture of individual changes
    over time and developmental differences among
    individuals
  • One can look for the long-term effect of earlier
    events, make predictions and observe outcomes and
    do retrospective analyses of developmental events
    to look for patterns

45
  • Longitudinal Design______________________________
  • Disadvantages
  • Time consuming expensive
  • Subject attrition is a significant problem
    because if too many subjects drop out (due to
    disinterest, moving away, death and so on) the
    sample become less and less representative
  • Failure to respond a survey is correlated with
    severe disability, institutionalization death
  • Lead to bias in findings

46
Sequential design
  • A combination of Cross-sectional Longitudinal
  • Five types of Sequential Design
  • Time-lag
  • Time-sequential treat age time as IV
  • Cohort-sequential treat age cohort as IV
  • Cross-sequential treat cohort and time as IV
  • Panel studies

47
Time-Lag Diagram________________________________
Time of Testing
1970 1980 1990 2000 2010
1920 50 _ _ _ _
1930 _ 50 _ _ _
1940 _ _ 50 _ _
1950 _ _ _ 50 _
1960 _ _ _ _ 50
C O H O R T
48
Time-Sequential DiagramTime of Testing
1970 1980 1990 2000 2010
1920 _ _ 70 _ _
1930 _ _ 60 70 _
1940 _ _ 50 60 70
1950 _ _ _ 50 60
1960 _ _ _ _ 50
C O H O R T
49
Cohort-Sequential DiagramTime of Testing
1970 1980 1990 2000 2010
1920 50 60 70 _ _
1930 _ 50 60 70 _
1940 _ _ 50 60 70
1950 _ _ _ _ _
1960 _ _ _ _ _
C O H O R T
50
Cross-Sequential DiagramTime of Testing
1970 1980 1990 2000 2010
1920 _ 60 70 80 _
1930 _ 50 60 70 _
1940 _ 40 50 60 _
1950 _ _ _ _ _
1960 _ _ _ _ _
C O H O R T
51
Panel DiagramTime of Testing
1970 1980 1980 1980 1990 2000 2000 2010
1920 _ 60 60 60 _ _ _ _
1930 _ 50 50 50 70 _ _ _
1940 _ 40 40 40 60 80 80 _
1950 _ _ _ _ 50 70 70 _
1960 _ _ _ _ _ 60 60 _
Same individuals over time Same individuals over time Same individuals over time
C O H O R T
52
  • Sequential Design____________________________
  • Advantages
  • combine some strengths of both the cross
    sectional and longitudinal approaches, while at
    the same time attempting to minimize the
    confounding of age, cohort and time of
    measurement influences
  • provide greater internal validity than either the
    traditional single-cohort longitudinal or the
    single-time-measurement cross-sectional designs
  • Represent an important contribution of adult dev.
    To research in developmental psychological

53
  • Sequential Design____________________________
  • Disadvantages
  • Its too expensive and need high commitment
  • The complexity has probably hindered their
    widespread use to date

54
  • Time-Lag Design____________________________
  • Advantages
  • Provides a picture of the effects of
    sociohistorical change at a particular point in
    development
  • we see how the same age group behaves in
    different historical periods and contexts

55
  • Time-Lag Design____________________________
  • Disadvantages
  • cohort and time-of-measurement influences are
    confounded
  • expensive and time consuming
  • Only one age is studied
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