STA630 Final Term Solved Papers

STA630

ABSTRACT This comprehensive collection of notes is accurately crafted to empower students to excel academically, ensuring they achieve a minimum of 80% marks in their examinations. The content is organized with clarity and precision, focusing on key concepts, critical analyses, and practical applications tailored to the syllabus. These notes serve as a reliable resource for both thorough preparation and last-minute revision. Designed to inspire confidence and mastery, this guide is an essential tool for students striving for academic excellence.

Maha Malik RESEARCH METHODS

Experimental research

Experimental research is a systematic method where researchers manipulate one variable and control others to observe effects. It involves hypothesis testing and control groups to ensure

Quasi-experimental designs

These are similar to true experiments but lack random assignment. Common examples include pretest-posttest designs without randomization.

True experimental designs

These include random assignment, control and experimental groups, and manipulation of independent variables. This helps establish cause-and-effect relationships.

One-shot case study design

This design involves exposing a single group to a treatment and then measuring the outcome. It lacks comparison or control, making internal validity weak.

Survey research

This involves collecting data through questionnaires or interviews to describe characteristics, opinions, or behaviors of a population.

Historical-comparative research

This method compares historical events or social structures across time or cultures. It’s useful in social sciences to understand changes and differences.

Non-reactive research (with examples)

This method collects data without influencing the subject, e.g., content analysis, use of existing statistics, or observation from a distance.

Field research

Involves collecting data in a natural environment, using participant observation or unstructured interviews. It aims to understand phenomena in context.

Quantitative approach

Relies on numerical data, statistical analysis, and objective measurements. Used for hypothesis testing and generalizations.

Qualitative approach

Focuses on exploring phenomena through text, observation, or interviews. It aims for depth of understanding rather than measurement.

Longitudinal and cross-sectional study

Longitudinal studies collect data over a period of time to detect changes, while cross-sectional studies gather data at one point in time.

Identify time dimension of study (longitudinal or cross-sectional)

If data is collected at different points (e.g., two months or years), it is longitudinal. If data is collected at a single point, it is cross-sectional.

Scenario-based identification of research types (mobile features vs. automobile survey)

Mobile feature scenario: Descriptive research Automobile survey assessing methods: Evaluative research

Economic study of Pakistan – suitable research type?

For studying economics, quantitative research using secondary data analysis or survey methods is commonly appropriate.

Observational study type in a cultural setting

This is a participant observation, typical in qualitative field research where researchers immerse in the setting to understand behaviors.

Field and its significance in field research

The field refers to the natural setting where the subject exists. Studying in the field enhances realism and context-based understanding.

Similarities to field research

Like qualitative research, field research involves real-world settings, open-ended data collection, and interpretive analysis.

Sampling – definition and importance

Sampling is selecting a subset of individuals from a population to make generalizations. It saves time, cost, and allows manageability.

Why researcher takes sample instead of whole population

Due to time, cost, and logistical constraints, sampling provides a practical and efficient way to study large populations.

Probability and non-probability sampling (comparison)

Probability sampling: each unit has a known, equal chance (e.g., random sampling) – more generalizable. Non-probability sampling: selection is non-random (e.g., convenience sampling) – less generalizable but easier.

Simple random sampling

Each member of the population has an equal chance of being selected using random methods (e.g., lottery method).

Systematic random sampling

Every kth individual is selected from a list after a random start.