Price: $19.99 - $17.99
(as of Apr 23, 2025 11:40:46 UTC – Details)
We all want a marriage that feels like home. We long for a partner who is there for us through all of life’s challenges and griefs, who is in on all our inside jokes, who delights in the family we’ve built together, who looks with hope toward the future with a shared faith and an arm firmly around our shoulders. But how do we get there? What actually works in the real world and honors the picture of marriage found in Scripture?
Based on the findings of their meticulous research, Sheila Wray Gregoire and Dr. Keith Gregoire dispel the pervasive myths about what makes a happy marriage. Rather than relying on gender stereotypes, they look at what actually creates intimacy, emotional health, and connection, asking deeper questions that lead to real healing and growth in your relationship with your spouse.
With enlightening stories, survey results, and practical tools, this book will help readers create a marriage they love. And with the evidence-based, Scripture-honoring advice in this book, that just may be closer than you imagine.
From the Publisher
Add to Cart
Add to Cart
Add to Cart
Customer Reviews
4.8 out of 5 stars 684
4.7 out of 5 stars 2,699
5.0 out of 5 stars 7
4.9 out of 5 stars 203
Price
$16.73$16.73 $13.80$13.80 $15.99$15.99 $9.99$9.99
More from the Gregoires!
✓
✓
✓
✓
Publisher : Baker Books (March 11, 2025)
Language : English
Paperback : 240 pages
ISBN-10 : 1540903761
ISBN-13 : 978-1540903761
Item Weight : 12 ounces
Dimensions : 5.43 x 0.71 x 8.43 inches
Customers say
Customers find this book insightful, based on studies and evidence, and appreciate how it combines biblical lessons with evidence-based advice. The book provides a foundation for a healthy marriage, focusing on maintaining emotional intimacy and becoming deeply connected best friends, while being concise and easy to understand. Customers value its teamwork approach and genuine stories throughout the chapters, with one customer noting how it treats men and women as equal partners.
AI-generated from the text of customer reviews
