Page 1
Module 3
Research Methods in Population Studies
Lecture 7: Methodology and Methods
Slide 1
POSITIVISM AND PHENOMENOLOGY
Methodology refers to philosophy and logic of methods, methods to specific tools and techniques
of research. Broadly speaking there are two methodologies in sociology: positivist and
phenomenological. Positivists assume that the social phenomena can be studied using tools and
techniques of science. For them objectivity and value neutrality are the hallmarks of science.
Phenomenologists reject positivism and claim that human behaviour is not amenable to scientific
treatment. In order to understand human behaviour sociologists must study subjective meanings
and qualitative methodology is more suited for this.
In the past social scientists working in the field of population studies in general and
morbidity and mortality in particular placed greater importance on quantitative methods such as
survey and analytical methods. The shift in attention to AIDS epidemic, sexuality and
empowerment has led to major changes in methodology. The reason is that researchers working
on HIV/AIDS have to deal not only with estimation of incidence and prevalence rates but they
also must explore the social representations of the virus, phenomenological issues in counselling,
testing and care, effective intervention strategies and related policy issues.
THE DEBATE BETWEEN QUANTITATIVE AND QUALITATIVE METHODS
Literature shows that in demography statistical modelling and advanced statistical methods are
used more extensively. Demographers use latest versions of regression analysis, factor analysis
and multidimensional scaling. In the recent times, however, there is a greater appreciation of
qualitative methods.
Page 2
Module 3
Research Methods in Population Studies
Lecture 7: Methodology and Methods
Slide 1
POSITIVISM AND PHENOMENOLOGY
Methodology refers to philosophy and logic of methods, methods to specific tools and techniques
of research. Broadly speaking there are two methodologies in sociology: positivist and
phenomenological. Positivists assume that the social phenomena can be studied using tools and
techniques of science. For them objectivity and value neutrality are the hallmarks of science.
Phenomenologists reject positivism and claim that human behaviour is not amenable to scientific
treatment. In order to understand human behaviour sociologists must study subjective meanings
and qualitative methodology is more suited for this.
In the past social scientists working in the field of population studies in general and
morbidity and mortality in particular placed greater importance on quantitative methods such as
survey and analytical methods. The shift in attention to AIDS epidemic, sexuality and
empowerment has led to major changes in methodology. The reason is that researchers working
on HIV/AIDS have to deal not only with estimation of incidence and prevalence rates but they
also must explore the social representations of the virus, phenomenological issues in counselling,
testing and care, effective intervention strategies and related policy issues.
THE DEBATE BETWEEN QUANTITATIVE AND QUALITATIVE METHODS
Literature shows that in demography statistical modelling and advanced statistical methods are
used more extensively. Demographers use latest versions of regression analysis, factor analysis
and multidimensional scaling. In the recent times, however, there is a greater appreciation of
qualitative methods.
Slide 2
Today in sociology in general and in population studies in particular, qualitative methods
such as participatory rapid (or relaxed) appraisal, discourse analysis, narratives, case history
methods, biographical methods are more in demand than the advance statistical techniques.
Importance of qualitative methods is derived from greater appreciation of multiparadigmatic
and shifting paradigmatic stances in various fields of social sciences, metatheoretical
commitments, and growing popularity of postmodernism. All this also implies popular distrust of
experts, importance of subjective and social representations, historical research, and
empowerment. Social constructionism has diverted attention of researchers from exploring the
causal connections to understanding of the “taken for granted knowledge". .
For a long time sociologists favoured one of the two approaches – statistical and qualitative -
and took a rigid stand on the matter. A polarity between the quantitative and qualitative methods
has emerged very clearly in the disciplines of sociology and psychology. While a large number
of researchers, for example, believe that meaningful research cannot be carried out without
employing statistical tools, an equally strong number of researchers seem to be absolutely
dissatisfied with this approach. Historically sociologists and psychologists have always
endeavoured to bring sociology and psychology at par with pure sciences. In part, this is also due
to the deep impact of methodological behaviourism in contemporary psychology. However, for
several years now social scientists have been critical of such an approach and view it as a major
source of narrowness in research. A considered view would be that no particular method is
essential to social science research in all circumstances. Which method should be used and
whether several methods should be used in combination depends on the purpose and approach of
the study. It may be noted that the differences between statistical methods and phenomenological
methods are not on a continuum between extreme polls. They may be combined at various
levels.
Page 3
Module 3
Research Methods in Population Studies
Lecture 7: Methodology and Methods
Slide 1
POSITIVISM AND PHENOMENOLOGY
Methodology refers to philosophy and logic of methods, methods to specific tools and techniques
of research. Broadly speaking there are two methodologies in sociology: positivist and
phenomenological. Positivists assume that the social phenomena can be studied using tools and
techniques of science. For them objectivity and value neutrality are the hallmarks of science.
Phenomenologists reject positivism and claim that human behaviour is not amenable to scientific
treatment. In order to understand human behaviour sociologists must study subjective meanings
and qualitative methodology is more suited for this.
In the past social scientists working in the field of population studies in general and
morbidity and mortality in particular placed greater importance on quantitative methods such as
survey and analytical methods. The shift in attention to AIDS epidemic, sexuality and
empowerment has led to major changes in methodology. The reason is that researchers working
on HIV/AIDS have to deal not only with estimation of incidence and prevalence rates but they
also must explore the social representations of the virus, phenomenological issues in counselling,
testing and care, effective intervention strategies and related policy issues.
THE DEBATE BETWEEN QUANTITATIVE AND QUALITATIVE METHODS
Literature shows that in demography statistical modelling and advanced statistical methods are
used more extensively. Demographers use latest versions of regression analysis, factor analysis
and multidimensional scaling. In the recent times, however, there is a greater appreciation of
qualitative methods.
Slide 2
Today in sociology in general and in population studies in particular, qualitative methods
such as participatory rapid (or relaxed) appraisal, discourse analysis, narratives, case history
methods, biographical methods are more in demand than the advance statistical techniques.
Importance of qualitative methods is derived from greater appreciation of multiparadigmatic
and shifting paradigmatic stances in various fields of social sciences, metatheoretical
commitments, and growing popularity of postmodernism. All this also implies popular distrust of
experts, importance of subjective and social representations, historical research, and
empowerment. Social constructionism has diverted attention of researchers from exploring the
causal connections to understanding of the “taken for granted knowledge". .
For a long time sociologists favoured one of the two approaches – statistical and qualitative -
and took a rigid stand on the matter. A polarity between the quantitative and qualitative methods
has emerged very clearly in the disciplines of sociology and psychology. While a large number
of researchers, for example, believe that meaningful research cannot be carried out without
employing statistical tools, an equally strong number of researchers seem to be absolutely
dissatisfied with this approach. Historically sociologists and psychologists have always
endeavoured to bring sociology and psychology at par with pure sciences. In part, this is also due
to the deep impact of methodological behaviourism in contemporary psychology. However, for
several years now social scientists have been critical of such an approach and view it as a major
source of narrowness in research. A considered view would be that no particular method is
essential to social science research in all circumstances. Which method should be used and
whether several methods should be used in combination depends on the purpose and approach of
the study. It may be noted that the differences between statistical methods and phenomenological
methods are not on a continuum between extreme polls. They may be combined at various
levels.
Slide 3
STRENGTH OF STATISTICAL METHODS
Statistical methods are useful for a variety of purposes. They are used for constructing scales,
designing studies, describing data, exploring patterns, revealing dimensionality, and predicting
social phenomena. They may also be combined with qualitative methodology. Statistical
methods such as multidimensional scaling (MDS) have been used successfully in studies of
social representations for which anthropology and social psychology have significantly
contributed.
Traditionally social sciences have always tried to be in line with the principles of natural
sciences and have favoured exact and standardized scientific methodology. Social sciences have
always considered quantitative methods as the only statistically valid and reliable methods of
research. Using a deductive approach quantitative research yields statistically reliable results.
The process of quantitative research is best suited for testing hypotheses. The obtained results are
utilized for establishing causal relationships and making predictions. Quantitative research
methods can be broadly classified under the four major categories:
• Descriptive or survey research,
• Correlational and causal research,
• Experimental research.
Positivists consider qualitative data as unreliable, ambiguous and doubtful. Yet, despite
criticism and attack, the quantitative approach dominates social sciences. Scintific observation is
the keystone of social scientific research. In absence of objective observation and definition,
verifiability of research findings is jeopardized. Social scientific theories and concepts can be
studied meaningfully only through standardized measurement procedures. Therefore, it appears
that social sciences cannot exist without objective measurement of variables. Such measurement
provides the advantage of quantification of constructs and concepts which in turn provides a
basis for using statistical and mathematical tools of analysis.
Page 4
Module 3
Research Methods in Population Studies
Lecture 7: Methodology and Methods
Slide 1
POSITIVISM AND PHENOMENOLOGY
Methodology refers to philosophy and logic of methods, methods to specific tools and techniques
of research. Broadly speaking there are two methodologies in sociology: positivist and
phenomenological. Positivists assume that the social phenomena can be studied using tools and
techniques of science. For them objectivity and value neutrality are the hallmarks of science.
Phenomenologists reject positivism and claim that human behaviour is not amenable to scientific
treatment. In order to understand human behaviour sociologists must study subjective meanings
and qualitative methodology is more suited for this.
In the past social scientists working in the field of population studies in general and
morbidity and mortality in particular placed greater importance on quantitative methods such as
survey and analytical methods. The shift in attention to AIDS epidemic, sexuality and
empowerment has led to major changes in methodology. The reason is that researchers working
on HIV/AIDS have to deal not only with estimation of incidence and prevalence rates but they
also must explore the social representations of the virus, phenomenological issues in counselling,
testing and care, effective intervention strategies and related policy issues.
THE DEBATE BETWEEN QUANTITATIVE AND QUALITATIVE METHODS
Literature shows that in demography statistical modelling and advanced statistical methods are
used more extensively. Demographers use latest versions of regression analysis, factor analysis
and multidimensional scaling. In the recent times, however, there is a greater appreciation of
qualitative methods.
Slide 2
Today in sociology in general and in population studies in particular, qualitative methods
such as participatory rapid (or relaxed) appraisal, discourse analysis, narratives, case history
methods, biographical methods are more in demand than the advance statistical techniques.
Importance of qualitative methods is derived from greater appreciation of multiparadigmatic
and shifting paradigmatic stances in various fields of social sciences, metatheoretical
commitments, and growing popularity of postmodernism. All this also implies popular distrust of
experts, importance of subjective and social representations, historical research, and
empowerment. Social constructionism has diverted attention of researchers from exploring the
causal connections to understanding of the “taken for granted knowledge". .
For a long time sociologists favoured one of the two approaches – statistical and qualitative -
and took a rigid stand on the matter. A polarity between the quantitative and qualitative methods
has emerged very clearly in the disciplines of sociology and psychology. While a large number
of researchers, for example, believe that meaningful research cannot be carried out without
employing statistical tools, an equally strong number of researchers seem to be absolutely
dissatisfied with this approach. Historically sociologists and psychologists have always
endeavoured to bring sociology and psychology at par with pure sciences. In part, this is also due
to the deep impact of methodological behaviourism in contemporary psychology. However, for
several years now social scientists have been critical of such an approach and view it as a major
source of narrowness in research. A considered view would be that no particular method is
essential to social science research in all circumstances. Which method should be used and
whether several methods should be used in combination depends on the purpose and approach of
the study. It may be noted that the differences between statistical methods and phenomenological
methods are not on a continuum between extreme polls. They may be combined at various
levels.
Slide 3
STRENGTH OF STATISTICAL METHODS
Statistical methods are useful for a variety of purposes. They are used for constructing scales,
designing studies, describing data, exploring patterns, revealing dimensionality, and predicting
social phenomena. They may also be combined with qualitative methodology. Statistical
methods such as multidimensional scaling (MDS) have been used successfully in studies of
social representations for which anthropology and social psychology have significantly
contributed.
Traditionally social sciences have always tried to be in line with the principles of natural
sciences and have favoured exact and standardized scientific methodology. Social sciences have
always considered quantitative methods as the only statistically valid and reliable methods of
research. Using a deductive approach quantitative research yields statistically reliable results.
The process of quantitative research is best suited for testing hypotheses. The obtained results are
utilized for establishing causal relationships and making predictions. Quantitative research
methods can be broadly classified under the four major categories:
• Descriptive or survey research,
• Correlational and causal research,
• Experimental research.
Positivists consider qualitative data as unreliable, ambiguous and doubtful. Yet, despite
criticism and attack, the quantitative approach dominates social sciences. Scintific observation is
the keystone of social scientific research. In absence of objective observation and definition,
verifiability of research findings is jeopardized. Social scientific theories and concepts can be
studied meaningfully only through standardized measurement procedures. Therefore, it appears
that social sciences cannot exist without objective measurement of variables. Such measurement
provides the advantage of quantification of constructs and concepts which in turn provides a
basis for using statistical and mathematical tools of analysis.
Slide 4
Standardized measures are important for scientific communication. Objectivity and
quantification enhance communication within the scientific community. Subjective evaluations
of findings are far difficult to communicate as compared to results obtained through statistical
analysis of standardized measures.
Economy of time, money and scientific resources, such as use of biomarkers in modern
health research to measure factors like HIV status and anaemia, is another reason that justifies
the use of standardized statistical procedures. This is especially true when one has to study a
large sample. Large samples cannot be studied through qualitative methods. Qualitative methods
of data-collection such as in-depth interviews and participant observation might prove to be
unwieldy and cumbersome in dealing with a large number of participants. Even if data is
somehow collected from a large group at the expense of economy, it is rather difficult to handle
the data without employing statistical procedures for a meaningful analysis.
SCOPE OF STATISTICAL METHODS
The above arguments bring this debate to a point where it is important to take note of the scope
of quantitative statistical procedures. In population research quantitative methods are particularly
useful in:
• Estimation of size of national and sub-national populations
• Estimation of demographic rates, and incidence and prevalence rates of various diseases
• Causal analysis of concurrent and sequential variations in vulnerability to various risks
• Operations research in which one wants to know whether a programme has been effective in
achieving the desired goal (such as promoting safe sex practices, reducing sigma against
HIV and rehabilitation of people living with AIDS)
• Descriptive studies of knowledge, attitudes and practices
• Rapid situation analysis and benchmarking
Page 5
Module 3
Research Methods in Population Studies
Lecture 7: Methodology and Methods
Slide 1
POSITIVISM AND PHENOMENOLOGY
Methodology refers to philosophy and logic of methods, methods to specific tools and techniques
of research. Broadly speaking there are two methodologies in sociology: positivist and
phenomenological. Positivists assume that the social phenomena can be studied using tools and
techniques of science. For them objectivity and value neutrality are the hallmarks of science.
Phenomenologists reject positivism and claim that human behaviour is not amenable to scientific
treatment. In order to understand human behaviour sociologists must study subjective meanings
and qualitative methodology is more suited for this.
In the past social scientists working in the field of population studies in general and
morbidity and mortality in particular placed greater importance on quantitative methods such as
survey and analytical methods. The shift in attention to AIDS epidemic, sexuality and
empowerment has led to major changes in methodology. The reason is that researchers working
on HIV/AIDS have to deal not only with estimation of incidence and prevalence rates but they
also must explore the social representations of the virus, phenomenological issues in counselling,
testing and care, effective intervention strategies and related policy issues.
THE DEBATE BETWEEN QUANTITATIVE AND QUALITATIVE METHODS
Literature shows that in demography statistical modelling and advanced statistical methods are
used more extensively. Demographers use latest versions of regression analysis, factor analysis
and multidimensional scaling. In the recent times, however, there is a greater appreciation of
qualitative methods.
Slide 2
Today in sociology in general and in population studies in particular, qualitative methods
such as participatory rapid (or relaxed) appraisal, discourse analysis, narratives, case history
methods, biographical methods are more in demand than the advance statistical techniques.
Importance of qualitative methods is derived from greater appreciation of multiparadigmatic
and shifting paradigmatic stances in various fields of social sciences, metatheoretical
commitments, and growing popularity of postmodernism. All this also implies popular distrust of
experts, importance of subjective and social representations, historical research, and
empowerment. Social constructionism has diverted attention of researchers from exploring the
causal connections to understanding of the “taken for granted knowledge". .
For a long time sociologists favoured one of the two approaches – statistical and qualitative -
and took a rigid stand on the matter. A polarity between the quantitative and qualitative methods
has emerged very clearly in the disciplines of sociology and psychology. While a large number
of researchers, for example, believe that meaningful research cannot be carried out without
employing statistical tools, an equally strong number of researchers seem to be absolutely
dissatisfied with this approach. Historically sociologists and psychologists have always
endeavoured to bring sociology and psychology at par with pure sciences. In part, this is also due
to the deep impact of methodological behaviourism in contemporary psychology. However, for
several years now social scientists have been critical of such an approach and view it as a major
source of narrowness in research. A considered view would be that no particular method is
essential to social science research in all circumstances. Which method should be used and
whether several methods should be used in combination depends on the purpose and approach of
the study. It may be noted that the differences between statistical methods and phenomenological
methods are not on a continuum between extreme polls. They may be combined at various
levels.
Slide 3
STRENGTH OF STATISTICAL METHODS
Statistical methods are useful for a variety of purposes. They are used for constructing scales,
designing studies, describing data, exploring patterns, revealing dimensionality, and predicting
social phenomena. They may also be combined with qualitative methodology. Statistical
methods such as multidimensional scaling (MDS) have been used successfully in studies of
social representations for which anthropology and social psychology have significantly
contributed.
Traditionally social sciences have always tried to be in line with the principles of natural
sciences and have favoured exact and standardized scientific methodology. Social sciences have
always considered quantitative methods as the only statistically valid and reliable methods of
research. Using a deductive approach quantitative research yields statistically reliable results.
The process of quantitative research is best suited for testing hypotheses. The obtained results are
utilized for establishing causal relationships and making predictions. Quantitative research
methods can be broadly classified under the four major categories:
• Descriptive or survey research,
• Correlational and causal research,
• Experimental research.
Positivists consider qualitative data as unreliable, ambiguous and doubtful. Yet, despite
criticism and attack, the quantitative approach dominates social sciences. Scintific observation is
the keystone of social scientific research. In absence of objective observation and definition,
verifiability of research findings is jeopardized. Social scientific theories and concepts can be
studied meaningfully only through standardized measurement procedures. Therefore, it appears
that social sciences cannot exist without objective measurement of variables. Such measurement
provides the advantage of quantification of constructs and concepts which in turn provides a
basis for using statistical and mathematical tools of analysis.
Slide 4
Standardized measures are important for scientific communication. Objectivity and
quantification enhance communication within the scientific community. Subjective evaluations
of findings are far difficult to communicate as compared to results obtained through statistical
analysis of standardized measures.
Economy of time, money and scientific resources, such as use of biomarkers in modern
health research to measure factors like HIV status and anaemia, is another reason that justifies
the use of standardized statistical procedures. This is especially true when one has to study a
large sample. Large samples cannot be studied through qualitative methods. Qualitative methods
of data-collection such as in-depth interviews and participant observation might prove to be
unwieldy and cumbersome in dealing with a large number of participants. Even if data is
somehow collected from a large group at the expense of economy, it is rather difficult to handle
the data without employing statistical procedures for a meaningful analysis.
SCOPE OF STATISTICAL METHODS
The above arguments bring this debate to a point where it is important to take note of the scope
of quantitative statistical procedures. In population research quantitative methods are particularly
useful in:
• Estimation of size of national and sub-national populations
• Estimation of demographic rates, and incidence and prevalence rates of various diseases
• Causal analysis of concurrent and sequential variations in vulnerability to various risks
• Operations research in which one wants to know whether a programme has been effective in
achieving the desired goal (such as promoting safe sex practices, reducing sigma against
HIV and rehabilitation of people living with AIDS)
• Descriptive studies of knowledge, attitudes and practices
• Rapid situation analysis and benchmarking
Slide 5
Quantitative survey research seems to be best suited for obtaining hard facts and factual
descriptive information that is the keystone for most social scientific research. Qualitative
research is not amenable to study many important research issues such as measurement of
attitudes in various domains and for different purposes, analysis of voting behaviour, study of
demographic patterns, behaviour patterns pertaining to health and illness, evaluation of
community intervention programmes, religious beliefs and their causal influence on social
behaviour, economic surveys etc. to mention only a few. An important point to note is that it is
possible to study such a wide variety of problems and issues because of the diverse statistical
techniques available to handle and analyze complex data.
Most research problems involve intricate relationships among variables. Such relationships
involve various complex formats and structures. Tacq (1997) has provided a comprehensive
discussion of such structures and corresponding multivariate statistical techniques of analysis.
The format of multivariate analysis techniques may involve convergent causal structure,
interactive structure, spurious or indirect causality, discriminant structure, canonical structure
and latent structure among others. The complex reality of social scientific problems is thus dealt
with to a great extent by multivariate techniques.
However, critics of positivism believe that social scientists deal with complex phenomena
and study contexts that are characterized by multiplicity of meanings. Complex social reality is
not amenable to quantitative approach. One major criticism of the traditional statistical approach
in social sciences is that it emphasizes objectivity at the cost of tampering with reality. This lends
support to qualitative methodology and qualitative methods.
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