The What and the Why of Statistics

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Presentation transcript:

The What and the Why of Statistics Chapter 1 The What and the Why of Statistics

The research process Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Asking a research question What is empirical research? Research based on information that can be verified by using our direct experience Cannot rely on reasoning, speculation, moral judgment, or subjective preference Empirical: Are women paid less than men for the same types of work?” Not empirical: Is racial equality good for society? Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

The role of theory A theory is a set of assumptions and propositions used by social scientists to explain, predict, and understand social phenomena. Social scientists use theory to attempt to establish a link between what we observe (the data) and our understanding of why certain phenomena are related to each other in a particular way Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

The hypothesis A statement predicting the relationship between two or more observable attributes Subject to empirical verification A statement of a relationship between characteristics that vary Variables Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Variable A property of people or objects that takes on two or more values Must include categories that are both exhaustive and mutually exclusive Social class, age, gender, and income Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Units of analysis The level of social life on which social scientists focus Individual Family Organization City Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Cause and effect Three Criteria The cause has to precede the effect in time There has to be an empirical relationship between the cause and effect This relationship cannot be explained by other factors Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Variables Dependent The variable to be explained Independent The variable expected to account for the dependent variable Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Variables The dependent variable is always the property one is trying to explain The object of the research The independent variable usually occurs earlier in time than the dependent variable The independent variable is often seen as influencing, directly or indirectly, the dependent variable Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Example Hypothesis People who attend church regularly are more likely to oppose abortion than people who do not attend church regularly Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Example hypothesis Identify the variables Independent = Church attendance Dependent = Attitudes toward abortion Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Example hypothesis Identify possible control variables Gender Age Religious affiliation Political party identification Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Example hypothesis Are the causal arguments sound? Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Collecting data Researchers must decide How to measure the variables of interest How to select the cases for the research What kind of data collection techniques to use Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Levels of measurement Nominal Ordinal Interval-Ratio Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Nominal Numbers or other symbols are assigned to a set of categories for the purpose of naming, labeling, or classifying the observations. Nominal categories cannot be rank-ordered Political party Religion Race Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Ordinal Nominal levels that can be ranked from low to high Social class Upper Middle Working Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Interval-ratio All cases are expressed in the same units Age Income SAT scores Ratio variables Natural zero point Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Cumulative property Variables that can be measured at the interval-ratio level of measurement can also be measured at the ordinal and nominal levels Variables that are measured at the nominal and ordinal levels can’t be measured at higher levels Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Cumulative property Exception Dichotomous variables Because there are only two possible values for a dichotomy, we can measure it at the ordinal or the interval-ratio level There is no way to get them out of order More powerful variable Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Variables Discrete Variables that have a minimum-sized unit of measurement which cannot be sub-divided The number of children per family Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Variables Continuous Variables that can theoretically can take on all possible numerical values in a given interval Length Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Analyzing data Population The total set of individuals, objects, groups, or events in which the researcher is interested Sample A relatively small subset selected from a population Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Analyzing data Descriptive statistics Procedures that help us organize and describe data collected from either a sample or a population Inferential statistics The logic and procedures concerned with making predictions or inferences about a population from observations and analyses of a sample Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Key terms Data Dependent Variable Descriptive Statistics Dichotomous Variable Empirical Research Hypothesis Independent Variable Inferential Statistics Interval-ratio Measurement Nominal Measurement Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.

Key terms Ordinal Measurement Population Research Process Sample Statistics Theory Unit of Analysis Variable Frankfort-Nachmias, Social Statistics for a Diverse Society 8e. SAGE Publications, 2018.