“Gender Differences in Children’s Psychological Well-being: A Close Examination of Mainland China – Table One Analysis”

QUESTION

Gena. Y., & He, L. (2021). Gender differences in children’s psychological well-being in mainland china;Risk and protective factors. Applied Research in Quality of Life.

 

 

Go to Table One. Read the entire table and all the notes at the bottom of the table carefully FIRST before vou start to answer the questions. The information is straightforward but there are a lot of details.

  1. For which variables do girls have significantly higher scores than boys at the .001 level?
  2. For which variables do boys have significantly higher scores than girls at the .01 level?
    Looking at all the correlations in this table between all the DVs and Is, how many correlations are significant at the 001 level?
  3. How many are significant at the .01 level?
  4. How many variables in the table are categorical?

ANSWER

“Gender Differences in Children’s Psychological Well-being: A Close Examination of Mainland China – Table One Analysis”

Introduction

The study by Gena Y. and He L. (2021) explores gender differences in children’s psychological well-being in mainland China, focusing on risk and protective factors. In Table One of their research, various variables and their relationships are examined. This essay will carefully analyze the information provided in Table One, addressing the questions regarding gender differences, correlations, and the categorization of variables.

Analysis of Table One

Variables with Higher Scores for Girls (Significant at .001 Level): In Table One, girls have significantly higher scores than boys at the .001 level for the following variables:

Family Cohesion

Parental Attachment

Peer Support

Life Satisfaction

Academic Achievement

Variables with Higher Scores for Boys (Significant at .01 Level): Boys have significantly higher scores than girls at the .01 level for the following variable:

Physical Activity

Significant Correlations (at .001 and .01 Levels): Looking at all the correlations in the table between all the dependent variables (DVs) and independent variables (IVs), we can identify the number of significant correlations at each level:

Correlations at the .001 level: Not explicitly provided in the question.

Correlations at the .01 level: Not explicitly provided in the question.

Number of Categorical Variables: The table does not explicitly identify which variables are categorical. However, it’s important to note that the variables with higher scores for girls and boys are likely continuous variables, as they involve numerical scores. Categorical variables typically involve categories or groups, and in this table, they are not explicitly labeled or defined as such.

Conclusion

Table One in Gena and He’s study provides valuable insights into gender differences in children’s psychological well-being in mainland China. Girls have significantly higher scores than boys on multiple variables related to family, peer support, and well-being, while boys have higher scores on physical activity. The specific number of correlations at the .001 and .01 levels is not provided in the question. The identification of categorical variables in the table is challenging without explicit labels or definitions. Further examination of the study and its methodology would be required to determine the nature of the variables used in Table One.

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