PSYC FPX 3210 Assessment 1 Analyzing Sources

Name

Capella University

PSYC FPX 3210 Human Lifespan Development

Prof. Name

Date

PSYC FPX 3210 Assessment 1: Analyzing Sources

Analyzing sources in psychological research requires more than finding information that appears relevant. Researchers must evaluate the credibility, relevance, population, methodology, and generalizability of each source before using its findings. Government statistics can provide broad information about populations and social conditions, while peer-reviewed studies provide more detailed evidence about specific groups. In PSYC FPX 3210 Assessment 1, analyzing sources involves examining government poverty data, refining scholarly database searches, evaluating research studies, and determining whether study findings can reasonably be generalized to larger populations.

Using Government Data to Analyze Poverty

Government statistics are valuable sources for psychological research because they provide information about large populations and important social conditions. Data collected by government agencies can help psychologists identify demographic patterns, examine changes over time, and develop research questions related to mental health and human behavior.

According to the U.S. Census Bureau’s Income and Poverty in the United States: 2018, 12,759 people younger than 18 lived below the poverty line in 2018. During the same year, 4,893 adults age 65 and older lived below the poverty line (U.S. Census Bureau, 2019).

Poverty statistics can provide useful context for psychological research because economic circumstances can influence several aspects of people’s lives. Researchers may investigate relationships between poverty and mental health, educational outcomes, family functioning, stress, and quality of life.

How Psychologists Use Government Data

Psychologists can use government datasets to understand population-level trends and develop evidence-based research questions. Because these datasets often include information from large populations, they can provide a broader perspective than studies conducted with relatively small samples.

Government data may help researchers:

• Identify patterns among demographic groups.

• Examine changes in social and economic conditions.

• Develop research questions and hypotheses.

• Compare outcomes across populations.

• Provide background information for psychological studies.

• Identify populations that may require additional research or support.

However, the availability of large datasets does not automatically mean that the information is appropriate for every research question. Researchers must examine how the information was collected, which population was represented, how variables were defined, and whether the dataset adequately addresses the issue being studied.

Searching the Capella University Library

Scholarly databases are another important resource for psychological research. The Capella University Library provides access to academic literature that can help researchers locate peer-reviewed evidence related to specific research questions.

An initial search in Summon using the keywords “children and poverty” produced approximately 2,450,109 results. Because this search was extremely broad, additional filters were needed to identify more relevant research.

A search using the same keywords in the PSYCArticles database was then narrowed by selecting the peer-reviewed filter and limiting publication dates to 2014 through 2018. This reduced the results to approximately 1,752 articles.

The search was narrowed further by selecting Mental Health as a major subject. This reduced the results to 94 articles. The process demonstrates how database filters can make scholarly research searches more efficient by removing literature that does not closely match the research topic.

Evaluating Scholarly Search Results

Finding an article in a scholarly database does not necessarily mean that the article is appropriate for a particular research question. Researchers must examine the title, abstract, population, research purpose, variables, and methodology to determine whether a source is genuinely relevant.

For example, Berry and Hou (2016) examined immigrant acculturation and well-being in Canada. Sutter and Perrin (2016) investigated discrimination, mental health, and suicidal ideation among LGBTQ people of color.

Although both studies are related to psychological well-being and social conditions, neither directly focuses on children and poverty. Berry and Hou’s study centers on immigration, acculturation, and well-being, while Sutter and Perrin’s study focuses on discrimination, mental health, and suicidal ideation among a specific population.

This example demonstrates why researchers should evaluate relevance instead of selecting sources simply because they appear in a database search.

Improving a Scholarly Database Search

A more targeted search strategy can help researchers find literature that directly addresses children and poverty. Broad keywords may produce thousands or even millions of results, many of which may have little connection to the research question.

Researchers can combine more precise keywords and related concepts, such as “child poverty,” “children living in poverty,” “childhood socioeconomic status,” “economic disadvantage,” and “child mental health.”

Search terms can also be combined using Boolean operators. For example, a researcher interested in the relationship between poverty and children’s mental health might search for:

“child poverty” AND “mental health”

Other combinations may include:

“childhood socioeconomic status” AND psychological outcomes

“economic disadvantage” AND children AND mental health

Using precise keywords, Boolean operators, publication-date restrictions, peer-reviewed filters, and subject headings can significantly improve the quality and relevance of database search results.

Analyzing the Wang and Rodgers Study

Wang and Rodgers (2006) examined the effects of service-learning and social justice education on the cognitive development of college students. The methodology section is particularly important when evaluating this study because it provides information about the participants and research setting.

The researchers included seven instructors from six service-learning courses and students enrolled in those courses. The courses were offered at a Midwestern state university (Wang & Rodgers, 2006).

Understanding the sample is essential because research findings are directly connected to the individuals and setting represented in the study. A study conducted with students at one university may provide valuable evidence, but its results should not automatically be assumed to represent all college students.

Generalizability of the Wang and Rodgers Study

Generalizability refers to the extent to which research findings can reasonably be applied to people or settings beyond the original study sample.

The findings from Wang and Rodgers (2006) may have limited generalizability because the research involved students participating in particular service-learning courses at one Midwestern state university. Students from other universities, academic programs, geographic regions, or educational backgrounds may have different experiences.

When evaluating whether findings can be generalized, researchers should consider the sample size, participant characteristics, research setting, recruitment process, and similarity between the study sample and the broader population.

Therefore, the findings can provide useful information about students who participated in similar service-learning experiences, but caution is necessary when applying the conclusions to all college students.

Analyzing the Sutter and Perrin Study

Sutter and Perrin (2016) investigated the relationship between discrimination, mental health, and suicidal ideation among LGBTQ people of color. The participants were adults age 18 and older who identified as LGBTQ and belonged to a racial or ethnic minority group. Data were collected through an online survey.

The participant characteristics are important because they establish the population represented by the study. The findings should be interpreted within the context of the specific group that was examined rather than automatically being applied to individuals who were not represented in the sample.

The study provides valuable information about the relationship between discrimination and psychological outcomes among LGBTQ people of color. At the same time, researchers should carefully consider whether its findings apply to other populations.

Generalizability of the Sutter and Perrin Study

The findings of Sutter and Perrin (2016) are most directly relevant to populations that share important characteristics with the study participants. Because the research specifically examined LGBTQ people of color, the results may be particularly useful for understanding psychological experiences among similar populations.

However, it would be inappropriate to assume that the findings apply equally to every LGBTQ individual, every racial or ethnic minority population, or the general population.

Generalizability depends on several factors, including the characteristics of participants, sampling procedures, research design, sample size, and study setting. Researchers should therefore compare the characteristics of the study sample with those of the population to which they want to apply the findings.

Why Sample Characteristics Matter in Psychological Research

Sample characteristics are essential when evaluating the quality and applicability of psychological research. Even when a study produces meaningful findings, those findings cannot automatically be generalized to every population.

Researchers should examine who participated, how participants were selected, where the study occurred, and whether the sample reflects the larger population of interest.

When evaluating a psychological research source, researchers should ask:

• Who participated in the study?

• How large was the sample?

• Where was the study conducted?

• How were participants recruited or selected?

• What characteristics did the participants share?

• Does the sample represent the population being studied?

• Are the research methods appropriate for the research question?

• Can the findings reasonably be generalized beyond the sample?

These questions help researchers determine whether a source provides strong and relevant evidence for a particular research question.

Key Takeaways for Analyzing Psychological Sources

Effective source analysis involves more than locating information. Researchers must determine whether a source is credible, relevant, methodologically appropriate, and applicable to the population being studied.

Government statistics can provide broad population-level information about conditions such as poverty. Scholarly studies, in contrast, can provide detailed information about specific populations and relationships between psychological and social variables.

The database search process also demonstrates the importance of using precise keywords and appropriate filters. Peer-reviewed status, publication date, subject headings, and Boolean operators can help researchers locate stronger and more relevant evidence.

Finally, examining sample characteristics and generalizability is essential. A research finding may be meaningful for the participants who were studied without necessarily applying to every member of the broader population. Careful source analysis allows psychologists to make more responsible and evidence-based conclusions.

Frequently Asked Questions

What does analyzing sources mean in psychological research?

Analyzing sources means evaluating whether information is credible, relevant, accurate, methodologically appropriate, and applicable to a specific research question. Researchers consider the source’s purpose, evidence, population, methodology, and limitations before using its findings.

Why are government statistics useful in psychology?

Government statistics provide population-level information that can help psychologists understand social and economic conditions. Data about poverty, education, income, and demographics can be used to identify trends and develop psychological research questions.

What is generalizability in psychological research?

Generalizability is the extent to which findings from a research sample can reasonably be applied to a larger or different population. Researchers assess generalizability by examining participant characteristics, sampling methods, sample size, setting, and research design.

Why is the sample important when evaluating a research study?

The sample determines which population is directly represented by the research. If participants come from a narrow or highly specific group, the findings may not apply to people with substantially different characteristics.

How can researchers improve a scholarly database search?

Researchers can improve database searches by using specific keywords, Boolean operators, subject headings, peer-reviewed filters, and publication-date limits. Combining related terms can also help identify studies that directly address the research question.

Are all peer-reviewed articles relevant to a research question?

No. Peer review provides evidence that a study has undergone scholarly evaluation, but it does not mean that the article addresses every research topic. Researchers must still examine the study’s purpose, population, variables, methodology, and findings to determine relevance.

Why might a study have limited generalizability?

A study may have limited generalizability when its participants come from a small, specialized, or geographically restricted population. Other limitations may involve the sampling method, research setting, sample size, or characteristics of the participants.

What should researchers consider before applying findings to another population?

Researchers should compare the original study population with the population they want to understand. They should consider demographic characteristics, sample selection, research setting, methodology, and whether the two populations are sufficiently similar.

References

Berry, J. W., & Hou, F. (2016). Immigrant acculturation and wellbeing in Canada. Canadian Psychology/Psychologie Canadienne, 57(4), 254–264. https://doi.org/10.1037/cap0000064

Sutter, M., & Perrin, P. B. (2016). Discrimination, mental health, and suicidal ideation among LGBTQ people of color. Journal of Counseling Psychology, 63(1), 98–105. https://doi.org/10.1037/cou0000126

PSYC FPX 3210 Assessment 1 Analyzing Sources

U.S. Census Bureau. (2019). Income and poverty in the United States: 2018. U.S. Department of Commerce. https://www.census.gov/library/publications/2019/demo/p60-266.html

Wang, Y., & Rodgers, R. (2006). Impact of service-learning and social justice education on college students’ cognitive development. NASPA Journal, 43(2), 316–337. https://doi.org/10.2202/1949-6605.1642