EBK BRAIN & BEHAVIOR
EBK BRAIN & BEHAVIOR
5th Edition
ISBN: 9781506349213
Author: HOUGH
Publisher: VST
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Chapter 6, Problem 10QM
Summary Introduction

To determine: Whether obesity is hereditary.

Introduction: Obesity is a complex medical condition involving an excessive amount of body fat that has accumulated to the extent and it may have an adverse health effect. If the body mass index (BMI) ranges 30.0 or above, then the individuals are considered to be within the obese range.

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Results : Correlation Pearson's Partial Correlations Variable JWB average IRMA total 2 1. JWB average Pearson's r — p-value — 2. IRMA total 2 Pearson's r 0.597 — p-value < .001 — Note. Conditioned on variables: Gen ID. Linear Regression Model Summary - IRMA total Model R R² Adjusted R² RMSE M₀ 0.000 0.000 0.000 5.450 M₁ 0.779 0.607 0.560 3.614 Note. M₁ includes Hostle Average, Gen ID, JWB average ANOVA Model Sum of Squares df Mean Square F p M₁ Regression 505.296 3 168.432 12.897 < .001 Residual 326.497 25 13.060 Total 831.793 28 Note. M₁ includes Hostle Average, Gen ID, JWB average Note. The intercept model is omitted, as no meaningful information can be shown. Coefficients Model Unstandardized…
Questions #22,28,44,66; explain your answers throughly; give examples if you want 22) Which of the following represents a leading question?a. "What is your opinion of the recent policy change?"b. "Do you agree that the new policy is harmful?"c. "What is your age group: 18-25, 26-35, 36-50?"d. "Do you support the policy change?” 28) In a pretest-posttest design, which validity threat is most likely to occur?a. History effectsb. Random sampling errorc. Social desirability biasd. Observer effects 44) In a between-within factorial design, ____ IV is manipulated between subjects and ___ IV is manipulated within subjects. 66) What is the purpose of a reversal (ABA) design in single-subject research?a. To measure the effect of multiple treatments simultaneously.b. To establish causality by observing behavior before, during, and after treatment.c. To compare multiple participants’ behavior across conditions.d. To identify baseline differences between participants.
What does the results indicate? Correlation Pearson's Partial Correlations Variable JWB average IRMA total 2 1. JWB average Pearson's r — p-value — 2. IRMA total 2 Pearson's r 0.597 — p-value < .001 — Note. Conditioned on variables: Gen ID. Linear Regression Model Summary - IRMA total Model R R² Adjusted R² RMSE M₀ 0.000 0.000 0.000 5.450 M₁ 0.779 0.607 0.560 3.614 Note. M₁ includes Hostle Average, Gen ID, JWB average ANOVA Model Sum of Squares df Mean Square F p M₁ Regression 505.296 3 168.432 12.897 < .001 Residual 326.497 25 13.060 Total 831.793 28 Note. M₁ includes Hostle Average, Gen ID, JWB average Note. The intercept model is omitted, as no meaningful information can be shown. Coefficients Model…
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