The primary advantage of archival research is its efficiency in terms of time and money. Since this method involves analyzing existing data, researchers do not need to interact directly with participants, which considerably reduces the resources required for data collection.

Pros of Archival Research

The main disadvantages of archival research stem from the data being pre-existing. Researchers have no control over how or what kind of data was collected, must frame their questions based on the available data, and may face inconsistencies across datasets that hinder comparison.

Cons of Archival Research

An illustration of archival research involves a researcher examining the academic records of college students from the last decade. By analyzing data points such as the time taken to graduate, course loads, grades, and participation in extracurricular activities, the researcher can identify patterns. This analysis can reveal which student demographics are more likely to successfully complete their degrees and highlight potential risk factors for those who struggle academically.

Example of Archival Research: Analyzing College Records

Archival records can take different forms. Historically, researchers relied on physical archives, which often took the form of stacks of paper files kept on shelves. Today, digital records are prevalent, with data stored and accessed via computers.

Forms of Archival Records: Physical vs. Digital

A team of researchers wants to investigate the relationship between urban green space and public health outcomes over the last 50 years in a major city. Which of the following proposed research activities best exemplifies an archival research approach?

Archival research can involve complex measurement and analysis of historical qualitative data. In one study, researchers examined the relationship between optimism and health by analyzing open-ended questionnaires about wartime experiences completed by college students in the 1940s. They used content analysis to extract an explanatory style score for each participant, and then assessed the statistical relationship between these early optimism scores and archival measures of the men’s health at age 60, finding a positive correlation (Pearson’s $$r = +.25$$).

Example of Archival Research: Optimism and Health

Content analysis is a family of systematic approaches used to measure and extract meaning from complex archival data. It requires researchers to specify keywords, phrases, or ideas of interest and then locate all occurrences of them within the data so they can be counted, timed (e.g., the amount of time devoted to a specific topic on a news show), or analyzed in a variety of other ways.

Content Analysis

What is the primary characteristic of archival research?

Archival research is an observational approach that involves analyzing pre-existing archival data that were originally collected for some other purpose, rather than actively collecting new data.

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To understand, describe, and explain behavior and its underlying cognitive and biological processes, psychologists utilize a diverse range of research methods. These approaches span a spectrum from passive observational techniques to interactive methods involving direct engagement with study participants. The interactive methods themselves vary in complexity, from straightforward questioning in surveys and in-depth interviews to rigorously controlled experiments.

Research Methods in Psychology

Various research methods are correlational in nature, meaning they allow researchers to identify important relationships between two or more variables of interest. These techniques include observational methods, case studies, survey research, and archival research. However, none of these correlational approaches can be used to make definitive claims about cause-and-effect relationships.

Correlational Research Techniques

Observational research encompasses a variety of non-experimental studies in which behavior is systematically observed and recorded. This approach involves examining subjects without any manipulation or control of variables.

Observational Research

Spielman, R. M., Jenkins, W. J., & Lovett, M. D. (2020, April 22). Psychology (2nd ed.). OpenStax. https://openstax.org/books/psychology-2e/pages/1-introduction

OpenStax Psychology (2nd ed.) Textbook

https://kpu.pressbooks.pub/psychmethods4e/

KPU Research Methods in Psychology - 4th American Edition

Experimental research is a method that involves a tremendous amount of control over variables of interest. It utilizes randomized assignment of participants to conditions and systematic manipulation of an independent variable to observe its effects on a measured dependent variable, with the objective of drawing causal inferences.

Experimental Research

Longitudinal research is a non-experimental design in which a single group of people is followed and repeatedly assessed over an extended period as they age. While this method provides a superior means of directly studying developmental changes by avoiding cohort effects, it is heavily time-consuming and demands a substantial long-term investment from both researchers and participants.

Longitudinal Research

Cross-sectional research is a non-experimental design used to investigate changes over time by simultaneously comparing two or more pre-existing groups of people, such as individuals in different age brackets. It is classified as non-experimental because it relies on naturally occurring group differences rather than the manipulation of an independent variable or random assignment.

Cross-Sectional Research

Correlational research is a widespread type of non-experimental research in which an investigator measures two variables—either continuous or categorical—and evaluates the statistical relationship (correlation) between them. Crucially, the researcher does this with little to no effort to control extraneous variables or manipulate an independent variable. It is often chosen when a relationship is not believed to be causal, or when exploring causal relationships where manipulating the independent variable is impossible, impractical, or unethical. By utilizing this strategy, researchers can achieve two fundamental scientific goals: describing the strength and direction of the relationship between the variables, and predicting scores on one variable based on the other using a statistical technique called regression.

Correlational Research

A survey is a versatile data collection tool used to gather meaningful answers about topics such as voting intentions, consumer preferences, social attitudes, or health. These self-report measures can vary in length and can be administered through multiple formats, including in-person interviews, telephone calls, mail questionnaires, or online over the Internet.

Survey

Relying on individuals to explain their own behavior has significant limitations. A person may be unwilling or uncomfortable to answer honestly, or they may be incapable of answering, such as in the case of an infant. This makes direct questioning an unreliable method in many research situations.

Limitations of Self-Report in Psychological Inquiry

Reliability is a critical quality of data collection tools in research, referring to their ability to produce consistent and replicable results over time and across different applications.

Reliability of Research Tools

Validity is a crucial characteristic of research instruments, indicating the degree to which a tool accurately measures the concept it is intended to measure.

Validity of Research Tools

Ruth W. Howard was a pioneering researcher who, in 1934, became the first African-American woman to earn a PhD in psychology.

Ruth W. Howard

A researcher wants to determine if a new mindfulness meditation program *causes* a reduction in symptoms of anxiety. Which of the following research designs would provide the strongest evidence to support this causal claim?

A team of researchers wants to determine if a new type of cognitive training program *directly causes* an improvement in problem-solving skills in adults. To definitively establish this cause-and-effect link, which of the following research methods is most appropriate?

A case study is an observational research method involving an in-depth, and often longitudinal, examination of an individual, social unit, or event. In psychology, case studies typically provide a detailed qualitative description and analysis of a single individual, frequently one who has a rare condition, unusual disorder, or specific brain damage. While they primarily rely on qualitative tools like interviews and naturalistic observation, case studies can also incorporate quantitative data such as psychological testing or physiological measurements.

Case Study

Archival Research

* Clinical/Case study
* Naturalistic observation

Observational Research Types

Cons of observational research include:

- Smaller sample sizes, which limits the ability to draw conclusions about the larger population.

Cons of Observational Research

Pros of observational research include:

- The ability to get detailed findings on the research topic.

Pros of Observational Research

Observer bias is a potential issue in observational research where observers, who are often closely involved in the study, may unconsciously distort their observations to align with their research goals or expectations.

Observer Bias

A primary advantage of observational research is its ability to produce a large volume of detailed, in-depth information, offering rich insights into the subject of study.

Strength of Observational Research: Rich Data

A significant drawback of observational research is the limited ability to generalize findings to the broader population, which is often a consequence of using small sample sizes.

Weakness of Observational Research: Limited Generalizability

A researcher spends a month in a single preschool classroom, carefully documenting the social interactions of a small group of children without interfering with their activities. What is the most significant limitation of drawing broad conclusions about all preschoolers' social behavior from this type of study?

The Loftus and Pickrell study on false memories serves as an example of observational research. The researchers asked participants about mildly traumatic childhood events, including getting lost in a shopping mall—an event the participants had not actually experienced. They observed that nearly a third of the participants 'remembered' the fabricated event, demonstrating how observational methods can be used to study complex psychological phenomena like false memories without manipulating an independent variable.

Loftus and Pickrell False Memory Study

Stanley Milgram’s original obedience study serves as a key example of observational research. Rather than manipulating an independent variable across different conditions, Milgram simply observed all participants performing the exact same task under identical conditions to measure the extent to which they obeyed an authority figure.

Example of Observational Research: Milgram's Original Obedience Study

Loftus and Pickrell's study on false memories is an example of observational research. The researchers observed whether participants claimed to remember experiencing a mildly traumatic childhood event, such as getting lost in a shopping mall, after being repeatedly asked about it, without actively manipulating an independent variable to compare groups.

Example of Observational Research: False Memories Study

The primary objective of observational research is to describe one or more variables. Broadly, it aims to capture a snapshot of the specific characteristics pertaining to an individual, a group, or a setting.

Goal of Observational Research

The data gathered during observational research studies are most frequently qualitative. However, the data collected can also be quantitative, or a combination of both in mixed-methods approaches.

Data in Observational Research

A fundamental limitation of observational research is its inability to support cause-and-effect conclusions. Because this approach is inherently non-experimental—meaning the researcher does not manipulate or control any variables—it can only provide a descriptive snapshot of characteristics or behaviors as they naturally occur, rather than identifying underlying causal mechanisms.

Lack of Causal Inference in Observational Research

Participant observation is a method of data collection in observational research where investigators immerse themselves as active members in the group or setting they are studying. Like naturalistic observation, this approach focuses on observing behavior in its typical environment, but it requires the researcher to be actively engaged rather than passively watching. Data is often collected through unstructured interviews, field notes, and artifacts. The primary reason for using this method is to gain access to, and properly interpret, crucial information that would otherwise be unavailable to an outsider.

Participant Observation

Participant reactivity occurs when individuals alter their behavior or responses simply because they are aware they are being measured, which can significantly compromise the reliability and validity of the resulting data. While some disagreeable participants might intentionally disrupt the research, reactivity more frequently manifests as agreeable participants adjusting their answers to match what they perceive the researcher expects.

Participant Reactivity

External validity refers to the ability to generalize the results of a study beyond the specific people and situations that were actually investigated.

External Validity

Rosenhan's study on the experiences of people in psychiatric wards is a classic example of qualitative observational research. The researchers (acting as pseudopatients) collected nonnumerical data in the form of written notes about their experiences and hospital records. The analysis relied on written descriptions supported by concrete examples, such as observing staff depersonalizing patients, rather than statistical evaluation.

Example of Qualitative Observational Research: Psychiatric Ward Study

Naturalistic observation is a type of field research that entails monitoring subjects' behaviors in the environments where they naturally occur, rather than in artificial laboratory settings. Examples of this method include studying chimpanzees in the wild or observing shoppers in a grocery store.

Naturalistic Observation

Structured observation is an observational research method where investigators make careful, systematic observations of one or more specific behaviors in a particular setting. This setting is typically more controlled than those used in naturalistic or participant observation, allowing researchers to focus on a small number of specific behaviors of interest rather than recording everything that happens globally.

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