Introduction to Social Research for SOCS2400 Week 1

Introduction to Social Research

  • Social Research is defined by Bryman as a "critical" and "systematic" investigation of societies and/or any aspect of social life, in relation to other aspects of social and non-social life.
  • The primary purpose of studying this subject is to understand the justification for and methodology behind quantitative research.
  • Academics conduct research because questions occur to them while reading existing literature or while reflecting on modern social life.
  • Social research is inherently designed to answer questions about the social world, employing different methods that best suit specific questions.

Influences on Human Action

  • Human action is shaped by a variety of interacting influences:
    • Social Influences: The actions and presence of other people.
    • Psychological Influences: Individual thoughts, personality traits, and mental processes.
    • Biological Influences: Hormones, physiology, genetics, and other physical factors.
    • Environmental Influences: Geography, climate, and physical surroundings.

Qualitative vs. Quantitative Research

Quantitative Research
  • Focus: Typically focuses on causality, connections, relations, or comparisons between variables.
  • Data Type: Numerical and statistical data only.
  • Approach: Deductive, focused on theory testing.
  • Epistemology: Positivist.
  • Ontology: Objectivist view of reality.
  • Common Methods: Surveys and experiments.
Qualitative Research
  • Focus: Focuses on understanding, looking to explore, describe, or represent people’s experiences.
  • Data Type: Words, texts, stories, and images.
  • Approach: Inductive, focused on theory development.
  • Epistemology: Interpretivist.
  • Ontology: Constructivist view of reality.
  • Common Methods: Interviews and ethnography.
Comparison and Integration
  • Each approach possesses specific strengths and weaknesses.
  • Mixed methods research can be utilized to balance the limitations of a single approach.
  • Preference for a specific method should be secondary to the nature of the research question being asked.

Research Questions and Examples

Types of Research Questions
  • Descriptive
  • Causal
  • Comparative
  • Explanatory
  • Evaluative
  • Explorative
  • Predictive
Examples Involving Rural and Metropolitan Students
  • Frequency-based: How many people from rural areas attend metropolitan universities in Australia?
  • Comparative Performance: Do metropolitan students perform better than rural students at Australian universities?
  • Descriptive/Experience-based: How would rural students describe their experiences attending metropolitan universities?
  • Barrier Identification: What barriers do rural students identify in the process of enrolment and participation in metropolitan universities?

Data Analysis Case Study: Durkheim and Suicide

  • In 18971897, Émile Durkheim published Le Suicide: Étude de Sociologie.
  • Durkheim’s Central Theory: Suicide varies inversely with the degree of integration of the social groups of which the individual forms a part.
  • European Suicide Data: Maps indicate Standardized Death Rates (SDR) for suicide and self-inflicted injury vary across Europe, with some regions exceeding 4040 or 5050 per 100,000100,000, while others are below 1010.
  • Religious Influence: Data from 20152015-20172017 shows varying percentages of adults identifying as Catholic across Europe:
    • Poland: 87%87\%
    • Italy: 78%78\%
    • Ireland: 72%72\%
    • France: 55%55\%
    • Germany: 31%31\%
    • United Kingdom: 19%19\%
    • Norway/Sweden/Denmark: 0%0\% to 1%1\%
  • Historical Comparison: In Wittenberg, analyses correlate suicide rates with the share of Protestants versus Catholics.

Lessons in Data Use and Abuse

  • Any statistical analysis is only as valid as the underlying data.
  • Concepts may not transfer easily across different cultures.
  • Statistical correlations are often the result of "third factors" rather than direct causation.
  • Sociological research must actively avoid the ecological fallacy, which involves making inferences about individuals based on group-level data.
The Ecological Fallacy: Wealth and Voting Patterns
  • State-Level Analysis (Poorest States by Median Household Income, 20192019):
    • Mississippi: 45,08145,081\,USD (Median Income); 61%61\% vote for Donald Trump.
    • West Virginia: 46,71146,711\,USD (Median Income); 70%70\% vote for Donald Trump.
    • Arkansas: 47,59747,597\,USD (Median Income); 64%64\% vote for Donald Trump.
    • Average for bottom 1010 states: 49,91749,917\,USD (Median Income); 60.9%60.9\% vote for Donald Trump.
  • State-Level Analysis (Richest States by Median Household Income, 20192019):
    • Maryland: 84,80584,805\,USD (Median Income); 33%33\% vote for Donald Trump.
    • New Jersey: 82,54582,545\,USD (Median Income); 42%42\% vote for Donald Trump.
    • Average for top 1010 states: 78,59278,592\,USD (Median Income); 40%40\% vote for Donald Trump.
  • Individual-Level Reality (Share of votes by income bracket):
    • Under 50,00050,000\,USD: Trump 42%42\%, Biden 57%57\%
    • 50,00050,000 to 99,99999,999\,USD: Trump 43%43\%, Biden 56%56\%
    • 100,000100,000\,USD or more: Trump 54%54\%, Biden 43%43\%
  • Crucial Limitation: While poorer states favored Trump at a higher rate, higher-income individuals across the country were actually more likely to vote for Trump than lower-income individuals, demonstrating how aggregate state data can mask individual-level trends.

Global Perspectives on Democracy

  • Data from the European and World Values Surveys (20052005-20142014) indicates the percentage of respondents who consider it "essential" (1010 on a 1010-point scale) to live in a democratically governed country.
  • Sweden: Approximately 80%80\% for those born in the 1930s1930s vs. 45%45\% for those born in the 1980s1980s.
  • Australia: High essentiality (>80%>80\%)) for those born in the 1930s1930s, dropping below 50%50\% for those born in the 1980s1980s.
  • United States: Similarly reflects a decline from roughly 75%75\% (born in the 1930s1930s) to approximately 30%30\% (born in the 1980s1980s).
  • Netherlands and New Zealand also show significant generational gaps in the perceived essentiality of democracy.

Course Assessments

  • Project I: Devising A Survey Questionnaire and its Research Rationale
    • Weight: 30%30\%
    • Due: Week 66
    • Format: Group assessment.
  • Project II: Secondary Data Analysis and Report
    • Weight: 40%40\%
    • Due: Week 1313
    • Format: Individual assessment.
  • In-class Quizzes
    • Weight: 30%30\%
    • Schedule: Week 55 and Week 1111
    • Format: Individual assessment.