PSY 2174 - Conclusion Validity & Data Analysis

Practice flashcards focusing on key concepts related to conclusion validity and data analysis in psychological research.

Conclusion Validity

The degree to which conclusions about relationships in research data are reasonable.

Internal Validity

Concerns whether a relationship is causal based on the data.

Threats to Conclusion Validity

Factors leading to incorrect conclusions about relationships, such as false positives and false negatives.

Statistical Power

The odds of finding a relationship when one actually exists.

Type I Error

False positive; incorrectly rejecting a true null hypothesis.

Type II Error

False negative; failing to reject a false null hypothesis.

p-value

The probability of obtaining a sample result if the null hypothesis is true.

Descriptive Statistics

Summarize and describe the main features of a data set.

Central Tendency

The central or typical value in a dataset; includes mean, median, and mode.

Dispersion

The spread of values around the central tendency, measured by range and standard deviation.

Correlation

A single number that describes the strength and direction of the relationship between two variables.

Null Hypothesis

A hypothesis that assumes no relationship or difference exists.

Confidence Level

The probability that a statistical result is reliable; typically expressed as 1-α.

Inferential Statistics

Statistics that allow conclusions to extend beyond immediate data to the population.

Qualitative Data Analysis

The process of examining non-numeric data to identify themes and patterns.

Coding in Qualitative Research

Identifying themes across qualitative data by analyzing transcripts.