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 1897, 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 40 or 50 per 100,000, while others are below 10.
- Religious Influence: Data from 2015-2017 shows varying percentages of adults identifying as Catholic across Europe:
- Poland: 87%
- Italy: 78%
- Ireland: 72%
- France: 55%
- Germany: 31%
- United Kingdom: 19%
- Norway/Sweden/Denmark: 0% to 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, 2019):
- Mississippi: 45,081\,USD (Median Income); 61% vote for Donald Trump.
- West Virginia: 46,711\,USD (Median Income); 70% vote for Donald Trump.
- Arkansas: 47,597\,USD (Median Income); 64% vote for Donald Trump.
- Average for bottom 10 states: 49,917\,USD (Median Income); 60.9% vote for Donald Trump.
- State-Level Analysis (Richest States by Median Household Income, 2019):
- Maryland: 84,805\,USD (Median Income); 33% vote for Donald Trump.
- New Jersey: 82,545\,USD (Median Income); 42% vote for Donald Trump.
- Average for top 10 states: 78,592\,USD (Median Income); 40% vote for Donald Trump.
- Individual-Level Reality (Share of votes by income bracket):
- Under 50,000\,USD: Trump 42%, Biden 57%
- 50,000 to 99,999\,USD: Trump 43%, Biden 56%
- 100,000\,USD or more: Trump 54%, Biden 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 (2005-2014) indicates the percentage of respondents who consider it "essential" (10 on a 10-point scale) to live in a democratically governed country.
- Sweden: Approximately 80% for those born in the 1930s vs. 45% for those born in the 1980s.
- Australia: High essentiality (>80%)) for those born in the 1930s, dropping below 50% for those born in the 1980s.
- United States: Similarly reflects a decline from roughly 75% (born in the 1930s) to approximately 30% (born in the 1980s).
- 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%
- Due: Week 6
- Format: Group assessment.
- Project II: Secondary Data Analysis and Report
- Weight: 40%
- Due: Week 13
- Format: Individual assessment.
- In-class Quizzes
- Weight: 30%
- Schedule: Week 5 and Week 11
- Format: Individual assessment.