Jonide comes across a newspaper article with the headline, “Bigger Weddings Lead to Happier Marriages.” She reads that researchers recruited 418 married couples from a local shopping center and collected their responses to a variety of survey questions, including some asking about the number of guests at their wedding and their relationship happiness (measured with questions about spousal satisfaction). This table presents the results of the study.CRITERION(DEPENDENT)VARIABLE:RELATIONSHIP HAPPINESS BETA 95% CIFOR BETAPredictor(independent)variables:Number of guests at wedding 0.32 [.12, .52]Number of partners before marriage 0.42 [.22, .62]Years of education 0.13 [.01, .25]Personal income –0.21 [–.37, –.07]Religiosity 0.06 [–.15, .27]Identify the validities that are reasonably established in this study.

The study conducted by researchers recruited 418 married couples from a local shopping center and collected their responses to various survey questions. The dependent variable in this study is relationship happiness, which was measured using questions about spousal satisfaction. The researchers also collected data on several independent variables, including the number of guests at the wedding, the number of partners before marriage, years of education, personal income, and religiosity.

The table presents the results of the study, including the beta coefficients and their corresponding 95% confidence intervals for each predictor variable. The beta coefficient represents the strength and direction of the relationship between each predictor variable and relationship happiness.

Based on the information provided, we can identify several validities that are reasonably established in this study:

1. Internal Validity: The researchers recruited a relatively large sample size of 418 married couples, which increases the internal validity of the study. Additionally, the researchers collected data through survey questions, which can help minimize potential biases in data collection.

2. Construct Validity: The researchers measured relationship happiness using questions about spousal satisfaction, which is a commonly used construct in studies related to marital relationships. The predictor variables, such as the number of guests at the wedding, number of partners before marriage, years of education, personal income, and religiosity, are also relevant to the construct of relationship happiness.

3. External Validity: The study recruited married couples from a local shopping center, which may limit the generalizability of the findings to other populations. However, the use of a diverse sample of couples can help increase the external validity to some extent.

4. Statistical Validity: The beta coefficients and their corresponding 95% confidence intervals provide information about the strength and precision of the relationships between the predictor variables and relationship happiness. The confidence intervals indicate the range within which the true population values are likely to fall.

It is important to note that the validity of the study is based on the information provided in the given text. Additional details about the study design, methodology, and potential limitations would be necessary to fully assess the validity of the study.